Consumption_Elect Average consumption of Electricity (kWh) Premises Types Nov-23 Dec-23 Jan-24 Feb-24 Mar-24 Apr-24 May-24 Jun-24 Jul-24 Aug-24 Sep-24 Oct-24 Nov-24 Dec-24 Jan-25 Feb-25 Mar-25 Apr-25 May-25 Jun-25 Jul-25 Aug-25 Sep-25 Oct-25 HDB 1-Room 144 135 126 126 132 150 152 149 140 151 148 139 142 128 127 121 119 128 136 150 143 150 136 136 HDB 2-Room 188 176 164 167 173 199 199 195 183 198 192 183 186 166 168 161 156 169 181 195 190 195 177 177 HDB 3-Room 269 247 236 241 250 292 285 277 264 283 277 266 266 243 238 231 231 250 265 284 273 280 257 259 HDB 4-Room 370 342 321 330 342 398 396 383 360 385 381 363 365 338 327 320 309 341 363 390 381 388 358 355 HDB 5-Room 436 401 367 381 399 463 466 448 416 447 446 427 429 397 379 374 359 399 425 457 450 459 423 417 HDB Executive 530 478 456 474 489 575 568 544 515 546 548 520 523 481 462 458 445 495 522 562 554 562 520 513 Apartment 541 483 430 435 486 578 573 543 500 513 539 523 519 486 446 419 417 476 516 548 536 541 513 501 Terrace 881 804 740 794 821 957 900 872 838 847 885 851 851 785 747 744 714 775 823 881 848 866 817 818 Semi-Detached 1,174 1,065 1,019 1,038 1,109 1,254 1,224 1,170 1,128 1,126 1,168 1,137 1,141 1,056 1,000 974 960 1,031 1,080 1,173 1,123 1,121 1,072 1,056 Bungalow 2,358 2,075 2,106 1,951 2,146 2,432 2,360 2,266 2,220 2,121 2,347 2,192 2,190 2,012 2,004 1,872 1,904 2,016 2,154 2,244 2,175 2,168 2,190 2,074

THE STRAITS TIMES SP Group to trial charging points that can draw energy from EVs back into power grid SP PowerGrid CEO Jimmy Khoo with the V2G-compatible Nissan Leaf and V2G bidirectional charger that will be used for SP Group's trial. PHOTO: SP GROUP Toh Ting Wei PUBLISHED JUL 8, 2021, 5:55 PM SGT SP signed two memoranda of understanding (MOUs) with the district government, and was appointed the energy and building solutions partner for International Urban Design Centre (IUDC) in Wuhou. Under the MOUs, SP will be the sustainable-energy solutions partner to the district government, providing smart solutions in line with the city's urban renewal master plan. There is an estimated rejuvenation pipeline of over 630,000 sq m in gross floor area over the next five years, said SP. In the first phase of the partnership, SP will design, build, own and operate an integrated energy solution that includes district cooling and heating systems, smart metering, energy management and monitoring for IUDC over the next 25 years, at an estimated total contract value of S$110 million. The IUDC consists of four existing buildings with an estimated gross floor area of 48,000 sq m. SP Group said it will look into areas including EV charging during peak and off-peak periods, as well as the management of the voltage in the distribution system. "If V2G technology is proven viable, it can be a win-win for the electricity system and EV owners, acting as a cost-effective solution to supplement the larger energy storage systems to overcome intermittency while EV owners can be paid for use of the EV batteries when needed," said SP Group. Intermittency refers to power supply being interrupted. SP Group said power plants have traditionally performed the role of mitigating intermittency, but EV owners can now contribute with V2G technology. Citing the example of EV charging points powered by solar energy, SP Group said: "When solar generation drops due to rain or cloud cover, the EVs plugged into the system can balance out the fall in supply. "During periods of significant solar generation, the EVs can store the excess energy." SP Group chief executive Stanley Huang said the trial is another step forward to support Singapore's green energy transformation. The Government has said it will phase out petrol vehicles by 2040. It has committed to fitting eight towns with charging points by 2025, and building 60,000 charging points around the island by 2030.

Consumption_Water Average consumption of Water (CuM) Premises Types Jul-25 Aug-25 Sep-25 Oct-25 Nov-25 Dec-25 Jan-26 Feb-26 Mar-26 Apr-26 May-26 Jun-26 HDB 1-Room 7.8 8.1 8.0 7.8 7.9 7.7 7.7 7.6 7.6 7.8 7.7 7.9 HDB 2-Room 9.0 9.3 9.2 8.8 9.1 8.7 8.9 8.8 8.6 9.0 8.8 9.1 HDB 3-Room 11.8 12.2 12.3 11.9 12.0 11.7 11.8 11.9 11.8 12.0 11.6 12.1 HDB 4-Room 14.9 15.4 15.6 15.1 15.3 14.7 14.8 15.0 14.9 15.3 14.7 15.3 HDB 5-Room 16.2 16.9 17.1 16.6 16.8 16.1 16.2 16.5 16.6 17.0 16.1 16.9 HDB Executive 18.2 18.8 19.2 18.4 18.8 18.1 18.2 18.5 18.7 18.9 18.1 18.7 Apartment 12.8 13.3 13.9 13.7 13.7 13.1 13.0 13.1 13.6 13.7 13.2 13.8 Terrace 25.1 26.1 26.5 26.0 26.0 25.8 25.7 26.8 27.5 25.9 25.1 26.4 Semi-Detached 30.5 32.0 32.5 31.1 31.6 30.5 30.7 32.9 33.3 31.9 30.6 31.4 Bungalow 49.3 50.9 53.6 49.6 52.7 49.3 52.6 53.6 55.0 56.1 52.7 52.9

News & Media Releases Latest All Years 29 Jun 2022 Borneo Motors Singapore and SP Group to Pilot Singapore’s First Electric Car-Sharing Programme in Tengah, Singapore’s First Integrated Smart Energy Town 20 Jun 2022 SP Group renews commitment to nurture early literacy for KidSTART children with donation of S$1.1 million 05 Jun 2022 Surbana Jurong Campus to House Southeast Asia’s Largest Electrical Vehicle Charging Hub 21 May 2022 Mercatus Partners SP Group to Digitise Tenant Utilities Management 17 May 2022 STMicroelectronics Appoints SP Group to Establish Singapore’s Largest Industrial District Cooling System for Its Local Manufacturing Site 17 May 2022 Daikin and SP Group Form New Joint Venture to Build Singapore’s Largest Industrial District Cooling System 15 May 2022 SP Group and Nuriflex to Install Rooftop Solar Power for TKG Taekwang Vina 19 Apr 2022 SP Group Expands Marina Bay District Cooling Network With New Partnerships 17 Apr 2022 Sustainable Cooling at Tampines – Singapore’s First Town Centre to Be Retrofitted With District Cooling 11 Apr 2022 SP donates S$1.35 million to ITE to set up inaugural SP Group Engineering Study Awards 1 ... 10 11 12 ... 23

Consumption_Water Average consumption of Water (CuM) Premises Types Aug-24 Sep-24 Oct-24 Nov-24 Dec-24 Jan-25 Feb-25 Mar-25 Apr-25 May-25 Jun-25 Jul-25 HDB 1-Room 8.1 8.3 7.9 8.1 7.8 7.8 7.8 7.2 7.8 7.8 8.1 7.8 HDB 2-Room 9.4 9.5 9.2 9.3 9.0 9.0 9.1 8.4 9.0 9.0 9.1 9.0 HDB 3-Room 12.4 12.5 12.2 12.2 12.0 11.9 12.0 11.2 12.0 12.0 12.1 11.8 HDB 4-Room 15.6 15.7 15.3 15.5 15.1 14.9 15.2 14.3 15.3 15.1 15.4 14.9 HDB 5-Room 16.9 17.1 16.7 17.0 16.4 16.1 16.7 15.8 16.8 16.5 16.8 16.2 HDB Executive 18.8 19.1 18.5 18.8 18.1 17.9 18.7 17.8 18.8 18.4 18.7 18.2 Apartment 13.1 13.8 13.8 13.8 13.3 12.8 13.0 12.7 13.7 13.5 13.4 12.8 Terrace 25.7 26.7 25.9 26.2 25.6 24.7 25.7 24.7 25.7 25.1 25.6 25.1 Semi-Detached 31.5 33.4 31.4 32.2 30.9 30.4 30.6 29.8 31.0 30.4 30.9 30.5 Bungalow 48.1 54.7 52.4 52.4 50.2 49.8 49.4 48.6 51.5 48.4 49.7 49.3

2024 JANUARY Su Mo Tu We Th Fr Sa 1 2 3 4 5 6 8-9: ECL04 High Voltage Distribution Cable Identification, Spiking & Fault Location 7 8 9 10 11 12 13 9-10: ERG01 SS638 Code of Practice for Electrical Installations 14 15 16 17 18 19 20 15, 16, 18: EPG07 Requirements for Installation & Commissioning of Grid-Tied Photovoltaic System 21 22 23 24 25 26 27 17-18: ENO63 Condition Monitoring Techniques for Distribution Switchgear & Transformer 28 29 30 31 22-24, 25, 26, 30: ENO62 Restore High Voltage Outages 29: GRG02 Gas Market Structure & Gas Network Code FEBRUARY Su Mo Tu We Th Fr Sa 1 2 3 1-2: ERG01 SS638 Code of Practice for Electrical Installations 4 5 6 7 8 9 10 19: ENO51 Distribution Switchboard Maintenance for Commercial and Industrial Low Voltage Installation 11 12 13 14 15 16 17 21-23: ECL05 High Voltage Cable Jointing Techniques 18 19 20 21 22 23 24 26: NEV03 Requirements and Implementation of Electric Vehicle Charging System 25 26 27 28 29 26-27: PDC208 Hydrogen Industry Masterclass 26-1 Mar: EPG12 Power Plant Operations and Performance (NEW COURSE + ) 28-29: PDC208 Hydrogen Industry Masterclass MARCH Su Mo Tu We Th Fr Sa 1 2 4-5: ERG05 Lightning and Lightning Protection 3 4 5 6 7 8 9 6-7: ESG08 Installation & Commissioning of Distribution Switchgear 10 11 12 13 14 15 16 11-12: EFD08 Singapore Electricity Network and Market 17 18 19 20 21 22 23 13-14: ESG06 Design, Installation & Testing of Electrical Switchboard & Supply Turn-On 24 25 26 27 28 29 30 18-19: ETF02 Operation & Maintenance of Distribution Transformer 31 20-21 & 27-28: EPG13 Managing Multiple Malfunctions in Power Plants & EPG14 Best Practices for Power Plant Optimisation (NEW COURSE + ) + Courses conducted using the latest Centralised Power Plant Simulator Updated: 04 Dec 2023 SINGAPORE INSTITUTE OF POWER AND GAS TRAINING CALENDAR JAN - MAR 2024 No. Course Code Course Title Duration (hr) Mode of Delivery Course Fee (1) Course Fee (after Funding) (2) (3) PDU (5) Click to download outline Upcoming Schedule 1 ECL04 High Voltage Distribution Cable Identification, Spiking & Fault Location 14 Face-to-Face $1,700 N.A. 14 Download 8 - 9 Jan 2 ECL05 High Voltage Cable Jointing Techniques 21 Face-to-Face $2,950 N.A. 21 Download 21 - 23 Feb 3 EFD08 Singapore Electricity Network and Market 14 Face-to-Face $720 $216 Pending Download 11 - 12 Mar 4 ENO51 Distribution Switchboard Maintenance for Commercial and Industrial Low Voltage Installation 7 Face-to-Face $800 N.A. 7 Download 19 Feb 5 ENO62 Restore High Voltage Outages 17.5 Face-to-Face $2,750 N.A. 15 Download 22 - 24 Jan Assesment: 24, 25, 26, 30 Jan 6 ENO63 Condition Monitoring Techniques for Distribution Switchgear & Transformer 14 Face-to-Face $1,400 $420 Pending Download 17 - 18 Jan 7 EPG07 Requirements for Installation & Commissioning of Grid-Tied Photovoltaic System 21 Face-to-Face $1,925 N.A. 13 Download 15, 16, 18 Jan 8 EPG12 Power Plant Operations and Performance (NEW COURSE + ) 35 Face-to-Face $3,500 $1,050 NIL Download 26 Feb - 1 Mar 9 EPG13 EPG14 Managing Multiple Malfunctions in Power Plants (NEW COURSE +# ) Best Practices for Power Plant Optimisation (NEW COURSE +# ) 14 14 Face-to-Face $1,400 $1,400 $420 $420 NIL Download 20 - 21 Mar 27 - 28 Mar 10 ERG01 SS638 Code of Practice for Electrical Installations 14 Face-to-Face $700 $210 13 Download Run 1: 9 - 10 Jan Run 2: 1 - 2 Feb 11 ERG05 Lightning and Lightning Protection 14 Face-to-Face $700 $210 13 Download 4 - 5 Mar 12 ESG06 Design, Installation & Testing of Electrical Switchboard & Supply Turn-On 14 Face-to-Face $1,600 N.A. 12 Download 13 - 14 Mar 13 ESG08 Installation & Commissioning of Distribution Switchgear 10.5 Face-to-Face $1,050 $315 9 Download 6 - 7 Mar 14 ETF02 Operation & Maintenance of Distribution Transformer 14 Face-to-Face $1,400 $420 14 Download 18 - 19 Mar 15 GRG02 Gas Market Structure & Gas Network Code 7 Face-to-Face $800 N.A. 6 Download 29 Jan 16 NEV03 Requirements and Implementation of Electric Vehicle Charging System 7 Face-to-Face $700 $210 Pending Download 26 Feb 17 PDC208 Hydrogen Industry Masterclass 14 Face-to-Face $2,200 $660 Pending Download Run 1: 26- 27 Feb Run 2: 28 - 29 Feb + Courses conducted using the latest Centralised Power Plant Simulator # Courses EPG13 and EPG14 are part of the Advanced Certificate in Power Plant Operations and Performance and both courses must be taken together, following the training dates stated in this training calendar Enterprise Transformation Project (NEW) SIPG offers implementation-led training and consultancy programme on Lean Methodologies that help enterprises strengthen business capabilities under the SkillsFuture Singapore Enterprise Transformation Project (ETP) initiative. Participating enterprises will enjoy programme fee funding of 90% for Small Medium Enterprises (SMEs) and 70% for Non-SMEs. Please contact SIPG at training-institute@spgroup.com.sg if you are interested to learn more. Important Notes: (1) Course fees are subject to prevailing GST. (2) Only Singapore Citizens, Permanent Residents & Long-Term Visit Pass Plus (LTVP+) Holders are eligible for Course Fee Funding (if any). (3) Funding grant is subject to funding agency's approval. (4) SkillsFuture Mid-Career Enhanced Subsidy only applicable for Singapore Citizens 40 years old and above. (5) PDU: Professional Development Unit awarded by Professional Engineers Board; PEB reserves the right to reject or adjust the PDUs awarded for each run. (6) Minimim class size is required to be met to start the class. Updated: 04 Dec 2023 SINGAPORE INSTITUTE OF POWER AND GAS TRAINING CALENDAR APR - JUN 2024 No. Course Code Course Title Duration (hr) Mode of Delivery Course Fee (1) Course Fee (after Funding) (2) (3) PDU (5) Click to download outline Upcoming Schedule UPCOMING COURSES 1 ECL06 Low Voltage Distribution Cables, Joints & Terminations 21 Face-to-Face $1,400 $420 19 Download 13 - 15 May 2 EFD02 Essential Test Instruments for Low Voltage 7 Face-to-Face $700 N.A. 4 Download Apr* 3 ENO39 Electrical Testing and Inspection for Non-Licensed Electrical Installation 7 Face-to-Face $700 N.A. 7 Download 16-May 4 EPG01 Overview of Power Generation Plant 7 Face-to-Face $700 $210 6 Download Apr* 5 EPG04 Power Plant Maintenance Principles & Strategies 14 Face-to-Face $1,400 $420 Pending Download 27 - 28 May 6 EPG06 Power Plant Efficiency 14 Face-to-Face $1,400 $420 Pending Download 8 - 9 May 7 EPG11 Power Plant Operations & Process Controls + 35 Face-to-Face $3,500 $1,050 Pending Download Apr* 8 EPG12 Power Plant Operations and Performance (NEW COURSE + ) 35 Face-to-Face $3,500 $1,050 NIL Download May * 9 EPG13 EPG14 Managing Multiple Malfunctions in Power Plants (NEW COURSE +# ) Best Practices for Power Plant Optimisation (NEW COURSE +# ) 14 14 Face-to-Face $1,400 $1,400 $420 $420 NIL Download Jun * 10 ERG01 SS638 Code of Practice for Electrical Installations 14 Face-to-Face $700 $210 13 Download 17 - 18 Apr 11 ERG06 Electrical Earthing Principles and Practices 7 Face-to-Face $350 $105 6 Download 16 Apr 12 ESG04 Operation & Maintenance of High Voltage Switchgear* 14 Face-to-Face $1,400 N.A. 13 Download 20 - 21 May 13 NEV03 Requirements and Implementation of Electric Vehicle Charging System 7 Face-to-Face $700 $210 Pending Download 22 Apr 14 NGD03 Introduction to Microgrid Systems 7 Face-to-Face $700 $210 4 Download Apr* 15 NGD04 Introduction to Energy Storage Systems 7 Face-to-Face $700 N.A. 6 Download Apr* + Courses conducted using the latest Centralised Power Plant Simulator # Courses EPG13 and EPG14 are part of the Advanced Certificate in Power Plant Operations and Performance and both courses must be taken together, following the training dates stated in this training calendar *To be confirmed, please contact SIPG. Enterprise Transformation Project (NEW) SIPG offers implementation-led training and consultancy programme on Lean Methodologies that help enterprises strengthen business capabilities under the SkillsFuture Singapore Enterprise Transformation Project (ETP) initiative. Participating enterprises will enjoy programme fee funding of 90% for Small Medium Enterprises (SMEs) and 70% for Non-SMEs. Please contact SIPG at training-institute@spgroup.com.sg if you are interested to learn more. Important Notes: (1) Course fees are subject to prevailing GST. (2) Only Singapore Citizens, Permanent Residents & Long-Term Visit Pass Plus (LTVP+) Holders are eligible for Course Fee Funding (if any). (3) Funding grant is subject to funding agency's approval. (4) SkillsFuture Mid-Career Enhanced Subsidy only applicable for Singapore Citizens 40 years old and above. (5) PDU: Professional Development Unit awarded by Professional Engineers Board; PEB reserves the right to reject or adjust the PDUs awarded for each run. (6) Minimim class size is required to be met to start the class. Updated: 04 Dec 2023 SIPG Centralised Power Plant Simulator SIPG’s newly launched courses conducted using the latest Centralised Power Plant Simulator Course Code Course Name Course Outline Upcoming Schedule (2024) EPG11 Power Plant Operations & Process Controls Download April * EPG12 Power Plant Operations and Performance Download 26 Feb - 1 Mar May * EPG13 Managing Multiple Malfunctions in Power Plants Download 20 - 21 Mar June * EPG14 Best Practices for Power Plant Optimisation Download 27 - 28 Mar June * Courses EPG13 and EPG14 are part of the Advanced Certificate in Power Plant Operations and Performance and both courses must be taken together, following the training dates stated in this training calendar. *To be confirmed, please contact SIPG EMA, WSG and SSG 104 58 9 *Figures accurate as of Dec 2023

2024 年 5 月 1 日 星 期 三 新 能 源 今 起 接 管 新 达 城 制 冷 系 统 邓 玮 婷 报 道 tengwt@sph.com.sg 新 加 坡 能 源 集 团 将 从 今 天 起 (5 月 1 日 ) 接 管 新 达 城 制 冷 系 统 , 并 在 2027 年 将 它 纳 入 滨 海 湾 区 域 供 冷 网 。 这 将 有 助 新 达 城 在 未 来 30 年 , 减 少 至 少 1 万 零 400 公 吨 的 碳 排 放 , 相 当 于 每 年 超 过 315 辆 车 辆 的 碳 排 放 量 。 新 能 源 和 新 达 城 星 期 一 (4 月 29 日 ) 发 文 告 宣 布 签 署 合 作 协 定 。 在 计 划 下 , 新 能 源 将 负 责 维 修 和 更 换 新 达 城 的 制 冷 设 备 , 包 括 更 换 老 旧 的 电 力 系 统 , 以 及 逐 步 转 用 更 节 能 环 保 的 制 冷 机 。 新 达 城 的 制 冷 系 统 由 一 个 中 央 冷 水 机 组 组 成 , 容 量 约 2 万 冷 冻 吨 , 可 为 旗 下 办 公 楼 、 商 场 和 会 展 中 心 提 供 空 调 服 务 , 净 可 出 租 面 积 总 计 340 万 平 方 英 尺 。 新 达 城 系 统 将 并 入 滨 海 湾 区 域 供 冷 网 文 告 说 , 新 达 城 的 冷 水 机 组 纳 入 滨 海 湾 区 域 供 冷 网 后 , 将 创 造 机 会 , 为 区 域 包 括 滨 海 中 心 和 武 吉 士 的 发 展 项 目 , 提 供 节 能 的 制 冷 服 务 , 进 而 为 更 多 顾 客 提 供 可 持 续 的 制 冷 方 案 。 新 能 源 接 管 新 达 城 的 制 冷 系 统 后 , 其 区 域 供 冷 网 的 制 冷 能 力 将 增 至 20 万 3000 冷 冻 吨 , 是 我 国 最 大 的 区 域 供 冷 方 案 供 应 商 。 根 据 文 告 , 新 达 城 通 过 新 能 源 的 区 域 供 冷 技 术 , 可 在 接 下 来 30 年 , 减 少 至 少 1 万 零 400 公 吨 的 碳 排 放 , 相 当 于 每 年 超 过 315 辆 车 辆 的 碳 排 放 量 。 新 达 城 管 理 代 理 APM 产 业 管 理 私 人 有 限 公 司 总 裁 许 鸣 财 说 , 公 司 向 来 的 首 要 考 量 是 让 建 筑 取 得 最 佳 的 能 源 效 率 。 这 次 和 新 能 源 的 合 作 是 公 司 在 可 持 续 能 源 方 案 迈 出 的 重 大 一 步 , 也 将 推 进 公 司 的 减 碳 旅 程 , 为 新 加 坡 打 造 更 环 保 的 建 筑 环 境 。 新 能 源 可 持 续 能 源 方 案 董 事 总 经 理 哈 沙 说 , 新 加 坡 朝 净 零 排 放 目 标 前 进 之 际 , 可 持 续 的 能 源 创 新 方 案 , 如 区 域 供 冷 网 将 扮 演 重 要 角 色 , 让 我 国 通 过 可 持 续 的 方 式 , 支 持 城 市 和 经 济 增 长 的 需 求 。 所 谓 区 域 供 冷 , 是 把 区 域 内 的 办 公 室 、 购 物 商 场 及 公 寓 等 建 筑 的 冷 却 系 统 连 接 在 一 起 , 形 成 闭 路 循 环 , 例 如 滨 海 湾 底 下 便 设 有 区 域 供 冷 系 统 网 络 , 它 利 用 大 型 制 冷 机 冷 却 水 后 , 输 送 给 这 个 区 域 内 的 大 楼 以 降 低 室 内 温 度 , 自 2006 年 运 转 以 来 已 达 到 40% 的 节 能 效 率 。

Search SPD23_6450 SP App Digital Brochure_R4https://www.spgroup.com.sg/dam/jcr:7757fa21-6247-4b58-8c7c-bbf1c1a92ef3/SPD23_6450%20SP%20App%20Digital%20Brochure_R4.pdf Managing your utilities is easy, quick, and green! Download the SP app now! Convenience and sustainability, all within the app! Submit meter readings Explore sustainable products on Green Marketplace Green your electricity consumption with My Green Credits™ Locate an EV charger, charge and pay View and pay bills Track your carbon footprint Open account, link and track your consumption Utilities Management with Consumption Insights Manage your utilities account anywhere, anytime. Monitor your utilities consumption through dynamic insights and save energy. You can: • Open and close your utilities account • Link your utilities account to track your consumption • View your consumption in an hourly, monthly and yearly comparison • Submit meter readings for electricity, water and gas • Reschedule appointments My Carbon Footprint A calculator that helps you understand the impact of your actions on the environment, this tracker promotes changes in behaviour and lifestyle to reduce your carbon emissions. Calculate your carbon footprint based on your lifestyle choices such as in food, transportation and the use of electrical appliances. View and pay bills Never worry again about missing a payment, queuing to pay or finding your past or present bills. View and pay your bills on the go with your preferred card or via PayNow QR. You may also choose to set it on recurring payment. Adhoc payments STEP 1 Select the Bills tab > Select a bill. STEP 2 Select a payment method. STEP 3 Complete your payment. Recurring payments Have the option to set it on automatic monthly recurring payment to avoid missing a payment. STEP 1 Select the Profile tab. STEP 2 Select your Payment Method. STEP 3 Select your default card for recurring payments. STEP 4 Choose the Account to set up recurring and select Submit. Electric Vehicle (EV) Charging Your green mobility journey is an easy ride with Singapore’s largest fast-charging network via the app. Search for the nearest available charging points, receive updates about your charging sessions and make payments seamlessly. My Green Credits™ Support the growth of renewable energy projects through the purchase of renewable energy certificates (RECs), that represent the environmental attributes of the generation of a one-megawatt hour (MWh) of energy produced by renewable sources such as solar, wind and others. With every purchase of My Green Credits from the OneMillionTrees Initiative category, SP Group pledges to donate 15% of proceeds to support the OneMillionTrees movement in partnership with Garden City Fund under NParks. Green Marketplace Welcome to Green Marketplace, where you can find greener choices for your planned purchases. These include financial services which encourage green living, for instance a home loan with incentives for solar panel installation, or a car insurance plan that rewards you for driving less! You can look for car loans specifically designed for the purchase of Electric Vehicles (EVs). You can choose home loans that encourage greener living, for instance with incentives for solar panel installation, or rewards if your home incorporates sustainability features. You can even choose financial services that encourage green behaviour, including an innovative car insurance plan that rewards you for driving less! In the meantime, you’ll gain insights on how your choices can reduce your carbon footprint and save costs. © 2023 Singapore Power Ltd. All Rights Reserved Information is accurate as of July 2023 publication. Digital Productshttps://www.spgroup.com.sg/sustainable-energy-solutions/digital-products Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of

SPWebsite (without GST) Electricity Tariff (2014 - 2023) Rates are not inclusive of GST. Jan-23 Oct-22 Jul-22 Apr-22 Jan-22 Oct-21 Jul-21 Apr-21 Jan-21 Oct-20 Jul-20 Apr-20 Jan-20 Oct-19 Jul-19 Apr-19 Jan-19 Oct-18 Jul-18 Apr-18 Jan-18 Oct-17 Jul-17 Apr-17 Jan-17 Oct-16 Jul-16 Apr-16 Jan-16 Oct-15 Jul-15 Apr-15 Jan-15 Oct-14 Jul-14 Apr-14 Jan-14 LOW TENSION SUPPLIES, DOMESTIC All units, ¢/kWh                    28.95 29.74 30.17 27.94 25.44 24.11 23.38 22.55 20.76 21.43 19.60 23.02 24.24 23.43 24.22 22.79 23.85 24.13 23.65 22.15 21.56 20.30 20.72 21.39 20.20 19.13 19.27 17.68 19.50 20.35 22.41 20.87 23.29 25.28 25.68 25.73 25.65 LOW TENSION SUPPLIES, NON-DOMESTIC All units, ¢/kWh                    28.95 29.74 30.17 27.94 25.44 24.11 23.38 22.55 20.76 21.43 19.60 23.02 24.24 23.43 24.22 22.79 23.85 24.13 23.65 22.15 21.56 20.30 20.72 21.39 20.20 19.13 19.27 17.68 19.50 20.35 22.41 20.87 23.29 25.28 25.68 25.73 25.65 HIGH TENSION SMALL (HTS) SUPPLIES $/kW/month               11.95 11.95 11.95 10.90 10.90 10.90 10.90 10.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.58 8.58 8.58 8.58 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.15 8.15 8.15 8.15 7.49 7.49 7.49 7.49 7.49 Uncontracted Capacity Charge $/chargeable kW/month               17.93 17.93 17.93 16.35 16.35 16.35 16.35 16.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 12.87 12.87 12.87 12.87 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.23 12.23 12.23 12.23 11.24 11.24 11.24 11.24 11.24 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 26.37 27.17 27.81 25.71 22.77 21.24 20.44 19.54 17.88 18.63 16.52 20.51 21.76 20.85 21.74 20.15 21.40 21.71 21.27 19.56 18.88 17.47 17.94 18.68 17.27 16.07 16.22 14.50 16.59 17.40 19.72 18.20 21.05 23.22 23.67 23.75 23.67 Off-peak period (11.00pm to 7.00am)               15.92 16.69 16.49 14.54 13.77 13.01 12.51 11.85 11.20 11.67 10.55 12.50 13.28 12.71 13.26 12.28 13.09 13.27 12.65 11.77 11.37 10.55 10.84 11.3 10.51 9.84 9.93 8.78 10.08 11.04 12.29 10.72 12.71 14.19 14.40 14.35 14.45 Reactive power Charge ¢/chargeable kVARh               0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 HIGH TENSION LARGE (HTL) SUPPLIES Contracted Capacity Charge $/kW/month                    11.95 11.95 11.95 10.90 10.90 10.90 10.90 10.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.58 8.58 8.58 8.58 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.15 8.15 8.15 8.15 7.49 7.49 7.49 7.49 7.49 Uncontracted Capacity Charge $/chargeable kW/month                17.93 17.93 17.93 16.35 16.35 16.35 16.35 16.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 12.87 12.87 12.87 12.87 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.23 12.23 12.23 12.23 11.24 11.24 11.24 11.24 11.24 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 26.15 26.95 27.59 25.49 22.55 21.02 20.22 19.32 17.66 18.41 16.30 20.29 21.54 20.63 21.52 19.93 21.18 21.49 21.05 19.34 18.66 17.25 17.72 18.46 17.05 15.85 16.00 14.28 16.37 17.18 19.50 17.98 20.83 23.00 23.45 23.53 23.45 Off-peak period (11.00pm to 7.00am)        15.91 16.68 16.48 14.53 13.76 13.00 12.50 11.84 11.19 11.66 10.54 12.49 13.27 12.70 13.25 12.27 13.08 13.26 12.64 11.76 11.36 10.54 10.83 11.29 10.50 9.83 9.92 8.77 10.07 11.03 12.28 10.71 12.70 14.18 14.39 14.34 14.44 Reactive power Charge ¢/chargeable kVARh                0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 EXTRA HIGH TENSION (EHT) SUPPLIES Contracted Capacity Charge 7.54 7.54 7.54 7.54 7.38 7.38 7.38 7.38 6.90 6.90 6.90 6.90 6.90 $/kW/month                    10.09 10.09 10.09 9.33 9.33 9.33 9.33 9.33 7.87 7.87 7.87 7.87 7.87 7.87 7.87 7.87 7.68 7.68 7.68 7.68 7.54 7.54 7.54 7.54 Uncontracted Capacity Charge $/chargeable kW/month               15.14 15.14 15.14 14.00 14.00 14.00 14.00 14.00 11.81 11.81 11.81 11.81 11.81 11.81 11.81 11.81 11.52 11.52 11.52 11.52 11.31 11.31 11.31 11.31 11.31 11.31 11.31 11.31 11.07 11.07 11.07 11.07 10.35 10.35 10.35 10.35 10.35 kWh charge, ¢/kWh                                Peak period (7.00am to 11.00pm) 25.16 25.96 26.57 24.48 21.61 20.11 19.31 18.42 16.81 17.54 15.47 19.39 20.62 19.72 20.6 19.03 20.26 20.57 20.12 18.44 17.77 16.38 16.84 17.57 16.18 15.01 15.16 13.45 15.52 16.33 18.62 17.1 19.91 22.06 22.50 22.58 22.50 Off-peak period (11.00pm to 7.00am)           15.79 16.56 16.35 14.40 13.65 12.90 12.40 11.74 11.11 11.57 10.46 12.39 13.16 12.6 13.15 12.17 12.97 13.15 12.54 11.66 11.26 10.45 10.74 11.19 10.41 9.74 9.83 8.69 9.99 10.94 12.18 10.62 12.60 14.08 14.28 14.23 14.34 Reactive power Charge ¢/chargeable kVARh               0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 SPWebsite (with GST) Electricity Tariff (2014 - 2023) Rates are inclusive of GST. Jan-23 Oct-22 Jul-22 Apr-22 Jan-22 Oct-21 Jul-21 Apr-21 Jan-21 Oct-20 Jul-20 Apr-20 Jan-20 Oct-19 Jul-19 Apr-19 Jan-19 Oct-18 Jul-18 Apr-18 Jan-18 Oct-17 Jul-17 Apr-17 Jan-17 Oct-16 Jul-16 Apr-16 Jan-16 Oct-15 Jul-15 Apr-15 Jan-15 Oct-14 Jul-14 Apr-14 Jan-14 LOW TENSION SUPPLIES, DOMESTIC All units, ¢/kWh                    31.27 31.82 32.28 29.90 27.22 25.80 25.02 24.13 22.21 22.93 20.97 24.63 25.94 25.07 25.92 24.39 25.52 25.82 25.31 23.70 23.07 21.72 22.17 22.89 21.61 20.47 20.62 18.92 20.87 21.77 23.98 22.33 24.92 27.05 27.48 27.53 27.45 LOW TENSION SUPPLIES, NON-DOMESTIC All units, ¢/kWh                    31.27 31.82 32.28 29.90 27.22 25.80 25.02 24.13 22.21 22.93 20.97 24.63 25.94 25.07 25.92 24.39 25.52 25.82 25.31 23.70 23.07 21.72 22.17 22.89 21.61 20.47 20.62 18.92 20.87 21.77 23.98 22.33 24.92 27.05 27.48 27.53 27.45 HIGH TENSION SMALL (HTS) SUPPLIES $/kW/month               12.91 12.79 12.79 11.66 11.66 11.66 11.66 11.66 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.18 9.18 9.18 9.18 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.72 8.72 8.72 8.72 8.01 8.01 8.01 8.01 8.01 Uncontracted Capacity Charge $/chargeable kW/month               19.36 19.19 19.19 17.49 17.49 17.49 17.49 17.49 14.28 14.28 14.28 14.28 14.28 14.28 14.28 14.28 13.77 13.77 13.77 13.77 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.09 13.09 13.09 13.09 12.03 12.03 12.03 12.03 12.03 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 28.48 29.07 29.76 27.51 24.36 22.73 21.87 20.91 19.13 19.93 17.68 21.95 23.28 22.31 23.26 21.56 22.90 23.23 22.76 20.93 20.20 18.69 19.20 19.99 18.48 17.19 17.36 15.52 17.75 18.62 21.10 19.47 22.52 24.85 25.33 25.41 25.33 Off-peak period (11.00pm to 7.00am)               17.19 17.86 17.64 15.56 14.73 13.92 13.39 12.68 11.98 12.49 11.29 13.38 14.21 13.60 14.28 13.14 14.01 14.20 13.54 12.59 12.17 11.29 11.60 12.09 11.25 10.53 10.63 9.39 10.79 11.81 13.15 11.47 13.60 15.18 15.41 15.35 15.46 Reactive power Charge ¢/chargeable kVARh               0.64 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 HIGH TENSION LARGE (HTL) SUPPLIES Contracted Capacity Charge $/kW/month                    12.91 12.79 12.79 11.66 11.66 11.66 11.66 11.66 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.18 9.18 9.18 9.18 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.72 8.72 8.72 8.72 8.01 8.01 8.01 8.01 8.01 Uncontracted Capacity Charge $/chargeable kW/month                19.36 19.19 19.19 17.49 17.49 17.49 17.49 17.49 14.28 14.28 14.28 14.28 14.28 14.28 14.28 14.28 13.77 13.77 13.77 13.77 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.09 13.09 13.09 13.09 12.03 12.03 12.03 12.03 12.03 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 28.24 28.84 29.52 27.27 24.13 22.49 21.64 20.67 18.90 19.70 17.44 21.71 23.05 22.07 23.03 21.33 22.66 22.99 22.52 20.69 19.97 18.46 18.96 19.75 18.24 16.96 17.12 15.28 17.52 18.38 20.87 19.24 22.29 24.61 25.09 25.18 25.09 Off-peak period (11.00pm to 7.00am)        17.18 17.85 17.63 15.55 14.72 13.91 13.38 12.67 11.97 12.48 11.28 13.36 14.20 13.59 14.18 13.13 14.00 14.19 13.52 12.58 12.16 11.28 11.59 12.08 11.24 10.52 10.61 9.38 10.77 11.80 13.14 11.46 13.59 15.17 15.40 15.34 15.45 Reactive power Charge ¢/chargeable kVARh                0.64 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 EXTRA HIGH TENSION (EHT) SUPPLIES Contracted Capacity Charge $/kW/month                    10.90 10.80 10.80 9.98 9.98 9.98 9.98 9.98 8.42 8.42 8.42 8.42 8.42 8.42 8.42 8.42 8.22 8.22 8.22 8.22 8.07 8.07 8.07 8.07 8.07 8.07 8.07 8.07 7.90 7.90 7.90 7.90 7.38 7.38 7.38 7.38 7.38 Uncontracted Capacity Charge $/chargeable kW/month               16.35 16.20 16.20 14.98 14.98 14.98 14.98 14.98 12.64 12.64 12.64 12.64 12.64 12.64 12.64 12.64 12.33 12.33 12.33 12.33 12.10 12.10 12.10 12.10 12.10 12.10 12.10 12.10 11.84 11.84 11.84 11.84 11.07 11.07 11.07 11.07 11.07 kWh charge, ¢/kWh                                Peak period (7.00am to 11.00pm) 27.17 27.78 28.43 26.19 23.12 21.52 20.66 19.71 17.99 18.77 16.55 20.75 22.06 21.10 22.04 20.36 21.68 22.01 21.53 19.73 19.01 17.53 18.02 18.80 17.31 16.06 16.22 14.39 16.61 17.47 19.92 18.30 21.30 23.60 24.08 24.16 24.08 Off-peak period (11.00pm to 7.00am)           17.05 17.72 17.49 15.41 14.61 13.80 13.27 12.56 11.89 12.38 11.19 13.26 14.08 13.48 14.07 13.02 13.88 14.07 13.42 12.48 12.05 11.18 11.49 11.97 11.14 10.42 10.52 9.30 10.69 11.71 13.03 11.36 13.48 15.07 15.28 15.23 15.34 Reactive power Charge ¢/chargeable kVARh               0.52 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51

Search Overseas Thailandhttps://www.spgroup.com.sg/about-us/international/thailand OverviewChinaVietnamThailandAustralia Thailand Thailand’s sustainability journey is ramping up, with more policies and initiatives aimed at reducing carbon emissions slated to roll out in the coming years. These provide opportunities for SP Group to launch sustainability projects that drive Sustainabilityhttps://www.spgroup.com.sg/about-us/media-resources/energy-hub/sustainability/driving-urban-decarbonisation-efforts-in-thailand-and-asia-pacific SP Energy HubAnnual ReportReliabilitySustainabilityInnovation Driving urban decarbonisation efforts in Thailand and Asia Pacific SUSTAINABILITY Our partnership with Banpu Next will empower a clean energy future in Thailand and Asia Pacific. SP and Banpu Next recently signed an MOU to develop Category: Sustainability Searchhttps://www.spgroup.com.sg/search?tag=thailand Search Overseas Thailandhttps://www.spgroup.com.sg/about-us/international/thailand OverviewChinaVietnamThailandAustralia Thailand Thailand’s sustainability journey is ramping up, with more policies and initiatives aimed at reducing carbon emissions slated to roll out in the coming years Searchhttps://www.spgroup.com.sg/search?tag=thailand Search Overseas Thailandhttps://www.spgroup.com.sg/about-us/international/thailand OverviewChinaVietnamThailandAustralia Thailand Thailand’s sustainability journey is ramping up, with more policies and initiatives aimed at reducing carbon emissions slated to roll out in the coming years SP Group expands renewable energy portfolio in Thailand with its first M&A dealshttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/SP-Group-expands-renewable-energy-portfolio-in-Thailand-with-its-first-M-A-deals Media Release SP Group expands renewable energy portfolio in Thailand with its first M&A deals SP Group acquires 13 MWp of solar capacity, including 9 MWp of ground-mounted utility-scale solar farms and 4 MWp of rooftop solar projects •The new solar assets can generate approximately 17,600 MWh SP Group Accelerates Betagro's Clean Energy Transition with Large-Scale Rooftop Solar Deploymenthttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/SP-Group-Accelerates-Betagro-s-Clean-Energy-Transition--with-Large-Scale-Rooftop-Solar-Deployment- Media Release SP Group Accelerates Betagro's Clean Energy Transition with Large-Scale Rooftop Solar Deployment Bangkok and Singapore, 25 July 2024 – SP Group is shoring up Asia’s clean energy transition with its latest large-scale solar photovoltaic (PV) project in Thailand. The leading utilities SP Group’s Integrated Energy Solutions to Power Rangsit University’s Green Energy Transformationhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/SP-Group-s-Integrated-Energy-Solutions-to-Power-Rangsit-University-s-Green-Energy-Transformation -climate building intelligence system, after the successful pilot at one building at the university campus achieved 40 per cent energy savings while improving occupant comfort by 14 per cent Singapore and Thailand, 15 November 2023 — Rangsit University (RSU) is set for green transformation at its jcr:03531b0d-1578-4889-8352-fd9bae5c35achttps://www.spgroup.com.sg/dam/jcr:03531b0d-1578-4889-8352-fd9bae5c35ac Banking & Finance Reits & Property Energy & Commoditi SP Group wins tender for rst district cooling project in Thailand Navene Elangovan Published Mon, Sep 25, 2023 · 12:14 pm SP Group and Banpu Next say that the project will allow the complex centre to save about S$1.6 million in electricity costs Media Coveragehttps://www.spgroup.com.sg/about-us/media-resources/media-coverage?page=12 Media Coverage Catch the latest news on SP All Years 25 Sep 2023 Berita Harian Online - SP Group wins tender for first district cooling project in Thailand Source: Berita Harian Online © Singapore Press Holdings Limited. Permission required for reproduction. 25 Sep 2023 The Business Times - SP 1.-Business-Times-Online---SP-Group-wins-tender-for-first-district-cooling-project-in-Thailand.pdfhttps://www.spgroup.com.sg/dam/spgroup/pdf/media-coverage/2023/1.-Business-Times-Online---SP-Group-wins-tender-for-first-district-cooling-project-in-Thailand.pdf Banking & Finance Reits & Property Energy & Commoditi SP Group wins tender for rst district cooling project in Thailand Navene Elangovan Published Mon, Sep 25, 2023 · 12:14 pm SP Group and Banpu Next say that the project will allow the complex centre to save about S$1.6 million in electricity costs BusinessTimes#BT#26-09-2023#Default#1#BTS-002#3#ccihttps://www.spgroup.com.sg/dam/jcr:4213bd9b-4418-4e31-ad5d-0da6db1c8038 2 | The T OP STORIES Business Times | Tuesday, September 26, 2023 SP Group wins tender for first district cooling project in Thailand By Navene Elangovan navene@sph.com.sg SP GROUP’S joint venture (JV) with Thai smart energy solutions provider Banpu Next has won a tender to design, build, own jcr:df8a22e3-569c-454a-aa3a-647635709c4dhttps://www.spgroup.com.sg/dam/jcr:df8a22e3-569c-454a-aa3a-647635709c4d Ekonomi & Kerja Akses Percuma SP Group menang tender pertama projek pendinginan daerah di Thailand � � SP Group Electric Car Sep 26, 2023 | 04:05 PM Dapatkan artikel ini untuk diterbitkan semula TENAGA BIJAK: SP Group dan Banpu Next berkata projek itu akan membantu pusat kompleks pemerintah di 1 2 3 4 5 ..... 11

Over 1,000 ChargEco EV charging points handed over to SP Mobility after completion of deal Sign up now: Get ST's newsletters delivered to your inbox During the transition, users can continue to access ChargEco’s charging points through their existing app. ST PHOTO: GAVIN FOO Lee Nian Tjoe Published Jul 02, 2026, 09:01 AM Updated Jul 02, 2026, 05:41 PM Summarise SINGAPORE – More than 1,000 public electric vehicle (EV) charging points in Singapore have been transferred to SP Mobility since June 30, following the completion of its acquisition of rival charging service operator ChargEco. During the transition, ChargEco users can continue to access these charging points through their existing app. Over the next several months, the charging points will be integrated into SP Mobility’s network in phases, according to an announcement by SP Group on July 2. SP Mobility is part of utilities and national grid provider SP Group. There will be no changes to the appearance of the ChargEco charging points, an SP Group spokesperson said in response to The Straits Times’ queries. However, backend management has already shifted, with SP Mobility taking over customer service responsibilities since June 30. Both SP Mobility and ChargEco account holders will be notified by e-mail about the integration, and updates will also be pushed through the two mobile apps and the operators’ websites, said the spokesperson. The majority of these charging points are located in Housing Board carparks in the central and eastern regions of Singapore, with around 4 per cent located in commercial and private residential properties. These include 16 charging points at seven SAFRA clubhouses and six charging points at Levels 5 and 6 of Wisma Atria in Orchard Road. Barring costs arising from regulatory requirements or other factors beyond SP Mobility’s control, the cost to use EV chargers at HDB carparks in the east will not change until May 2029. This three-year price freeze was a commitment given by SP Mobility to the Competition and Consumer Commission of Singapore to address concerns raised during a public consultation in January. This is because SP Mobility and ChargEco were the only two operators awarded the rights to install chargers at HDB carparks in the eastern region, following the Land Transport Authority’s (LTA) largescale public EV charger roll-out tender in November 2022. It costs 67.8 cents per kWh to use a 7.4kW ChargEco charger in areas like Bedok, Tampines and Pasir Ris, while SP Mobility charges 69.8 cents per kWh for its 7.4kW chargers in these areas. Charging points in HDB carparks in the central region are operated by ChargEco and Charge+. Dean Cher, SP Mobility’s managing director, described the acquisition as “an important step towards a more consolidated and efficient EV charging landscape in Singapore”. Currently, EV-Electric Charging, the LTA subsidiary responsible for the charger roll-out, lists seven operators on its website accounting for 8,275 chargers across Singapore. Of these, SP Mobility has 1,596 charging points, while ChargEco has 1,098. Correction note: This report has been updated to reflect SP’s clarification that ChargEco’s charging points were transferred to SP Mobility on June 30. More on this topic Electric vehicle charging in Singapore must not become a local monopoly Singapore has 30,500 EV charging points; deployment adjusted to serve new BTOs Lee Nian Tjoe is senior transport correspondent at The Straits Times, where he also oversees the Motoring section. See more on Electric and hybrid vehicles Singapore transport Cars LTA CCCS/Competition and Consumer Commission of Singapore