Particulars of Electrical Installation FORM CERTIFICATE OF COMPLIANCE Name of Consumer: _______________________________________________________________ Address of Installation: _____________________________________________________________ _____________________________________________________________________________ Electrical Installation Licence No.: ____________________ MSS Account No.: ___________________ Approved load & Supply Voltage: ___________________ kW ___________________ Volts Generator(s) Installed: Operated in parallel with PowerGrid’s network No. of Generator(s): ________ Rating: _________kVA Standby Generator No. of Generator(s): ________ Rating: _________kVA Not Applicable Electrical Installation Design Certification I certify that the design of the above-mentioned electrical installation complies with the requirements of the Electricity (Electrical Installations) Regulations 2002 and the relevant Singapore Standard Code of Practice. With the certification of compliance by the LEW responsible for the installation work as shown below, I hereby request for the energisation of the supply line to the said electrical installation on _________________ (date). ___________ __________ Name & Signature of LEW responsible Licence No. Date for design of electrical installation* Electrical Installation Inspection Certification I have supervised the work of the above-mentioned electrical installation and hereby certify that the electrical installation complies with the requirements of the Electricity (Electrical Installations) Regulations 2002 and the relevant Singapore Standard Code of Practice. I further certify that the technical requirements as stipulated by the person responsible for turning on the switchgear which controls the supply of electricity to the said electrical installation have been complied with. ___________ __________ Name & Signature of LEW responsible Licence No. Date for electrical installation work* *The same LEW may perform both design and installation work for the electrical installation. Copy to: Market Support Services Licensee REF: E(EI)Reg5(2)

MEDIA RELEASE ELECTRICITY TARIFF REVISION FOR THE PERIOD 1 JANUARY TO 31 MARCH 2020 Singapore, 30 December 2019 – For the period from 1 January to 31 March 2020, electricity tariffs (before 7% GST) will increase by an average of 3.5% or 0.81 cent per kWh compared with the previous quarter. This is due to higher energy cost compared with the previous quarter. For households, the electricity tariff (before 7% GST) will increase from 23.43 to 24.24 cents per kWh for 1 January to 31 March 2020. The average monthly electricity bill for families living in four-room HDB flats will increase by $2.76 (before 7% GST) (see Appendix 3 for the average monthly electricity bill for different household types). Cents/kWh 25.00 24.00 23.00 22.00 21.00 20.00 19.00 18.00 17.00 16.00 15.00 Quarterly Household Electricity Tariff* 24.13 23.65 23.85 24.22 24.24 23.43 22.79 22.15 Apr - Jun '18 Jul - Sep '18 Oct - Dec '18Jan - Mar '19 Apr - Jun '19 Jul - Sep '19 Oct - Dec '19Jan - Mar '20 *before 7% GST SP Group reviews the electricity tariffs quarterly based on guidelines set by the Energy Market Authority (EMA), the electricity industry regulator. The tariffs given in Appendix 1 have been approved by the EMA. Issued by: SP Group 2 Kallang Sector Singapore 349277 www.spgroup.com.sg Appendix 1 ELECTRICITY TARIFFS FROM 1 JANUARY 2020 LOW TENSION SUPPLIES, DOMESTIC All units, ¢/kWh LOW TENSION SUPPLIES, NON-DOMESTIC All units, ¢/kWh HIGH TENSION SMALL (HTS) SUPPLIES Contracted Capacity Charge $/kW/month Uncontracted Capacity Charge $/chargeable kW/month kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) Off-peak period (11.00pm to 7.00am) Reactive power Charge ¢/chargeable kVARh HIGH TENSION LARGE (HTL) SUPPLIES Contracted Capacity Charge $/kW/month Uncontracted Capacity Charge $/chargeable kW/month kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) Off-peak period (11.00pm to 7.00am) Reactive power Charge ¢/chargeable kVARh EXTRA HIGH TENSION (EHT) SUPPLIES Contracted Capacity Charge $/kW/month Uncontracted Capacity Charge $/chargeable kW/month kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) Off-peak period (11.00pm to 7.00am) Reactive power Charge ¢/chargeable kVARh Existing Tariff (without GST) New Tariff (without 7% GST) New Tariff (with 7% GST) 23.43 24.24 25.94 23.43 24.24 25.94 8.90 8.90 9.52 13.35 13.35 14.28 20.85 21.76 23.28 12.71 13.28 14.21 0.59 0.59 0.63 8.90 8.90 9.52 13.35 13.35 14.28 20.63 21.54 23.05 12.70 13.27 14.20 0.59 0.59 0.63 7.87 7.87 8.42 11.81 11.81 12.64 19.72 20.62 22.06 12.60 13.16 14.08 0.48 0.48 0.51 Appendix 2 BREAKDOWN OF ELECTRICITY TARIFF 1. The electricity tariff consists of the following four components: a) Energy costs (paid to the generation companies): This component is adjusted quarterly to reflect changes in the cost of fuel and power generation. The fuel cost is the cost of imported natural gas, which is tied to oil prices by commercial contracts. The cost of power generation covers mainly the costs of operating the power stations, such as the manpower and maintenance costs, as well as the capital cost of the stations. b) Network costs (paid to SP PowerAssets): This fee is reviewed annually. This is to recover the cost of transporting electricity through the power grid. c) Market Support Services Fee (paid to SP Services): This fee is reviewed annually. This is to recover the costs of billing and meter reading, data management, retail market systems as well as for market development initiatives. d) Market Administration and Power System Operation Fee (paid to Energy Market Company and Power System Operator): This fee is reviewed annually to recover the costs of operating the electricity wholesale market and power system. Q1 2020 TARIFF (before 7% GST) Market Admin & PSO Fee (No Change) 0.06¢/kWh (<1%) MSS Fee (No Change) 0.40¢/kWh (1.7%) %) Network Costs (No Change) 5.44¢/kWh (22.4%) Energy Costs (Increase by 0.81¢/kWh) 18.34¢/kWh (75.7%) Appendix 3 AVERAGE MONTHLY ELECTRICITY BILLS OF DOMESTIC CUSTOMERS (TARIFF WEF 1 JANUARY 2020) (before 7% GST) Types of Premises Average monthly consumption per Customer Average Monthly Bill New Average Monthly Bill Average Change in Monthly Bill kWh $(a) $(b) $(b-a) % HDB 1 Room 125.84 29.48 30.50 1.02 3.5 HDB 2 Room 168.47 39.47 40.84 1.37 3.5 HDB 3 Room 249.72 58.51 60.53 2.02 3.5 HDB 4 Room 340.08 79.68 82.44 2.76 3.5 HDB 5 Room 395.84 92.75 95.95 3.20 3.5 HDB Executive 485.11 113.66 117.59 3.93 3.5 Apartment 530.96 124.40 128.70 4.30 3.5 Terrace 803.92 188.36 194.87 6.51 3.5 Semi-Detached 1,084.08 254.00 262.78 8.78 3.5 Bungalow 2,254.95 528.33 546.60 18.27 3.5 Average 396.44 92.89 96.10 3.21 3.5

SPH Media Limited MCI (P) 002/04/2024 http://www.tamilmurasu.com.sg ����: 1935 �����: ����� �.������ 30 ஏப்ரல் 2024 • ெசவ்வாய் • 60 காசு மரினா ேப குளிரூட்டுக் கட்டைமப்பில் சன்ெடக் சிட்டி மரினா ேபயில் உள்ள ‘எஸ்பி’ குழுமத் தின் மிகப் ெபரிய அளவிலான நிலத்தடி வட்டாரக் குளிரூட்டு முைறயில் சன் ெடக் சிட்டி இைணந்துெகாள்ளவிருக் கிறது. இதன் மூலம், ஏற்ெகனேவ உலகின் அத்தைகய ஆகப் ெபரிய கட்டைமப்பு விரிவைடயவிருப்பதாக ‘எஸ்பி’ குழும மும் சன்ெடக் சிட்டியும் ஏப்ரல் 29ஆம் ேததி கூறின. ஒப்பந்தத்தின்கீழ், ‘எஸ்பி’ குழுமம், சன்ெடக் சிட்டியின் குளிரூட்டு முைற யின் ெசயல்பாட்டுக்குப் ெபாறுப்ேபற்கும். அந்தக் குளிரூட்டு முைற 2027ஆம் ஆண்டுக்குள் மரினா ேப வட்டாரக் குளிரூட்டு கட்டைமப்புடன் ஒருங் கிைணக்கப்படும். ஒேர ஒரு ைமயப்படுத்தப்பட்ட குளிரூட்டுச் சாதனத்ைதக் ெகாண் டுள்ள சன்ெடக் சிட்டியின் குளிரூட்டு முைற, அதன் ஐந்து அலுவலகக் கட்ட டங்கள், சில்லைறப் ேபரங்காடி, மாநாட்டு மண்டபம் ஆகியவற்றுக்குக் குளிரூட்டுச் ேசைவகைள வழங்குகிறது. சன்ெடக் சிட்டி உட்பட, ெசயல்பாட்டில் உள்ள தற்ேபாைதய ஒட்டுெமாத்தக் குளிரூட்டு ஆற்றல் 203,000 ‘ெரஃப்ரிெஜ ரன்ட் டன்’ அளவில் இருக்கும். சிங்கப் பூரில் வட்டாரக் குளிரூட்டுத் தீர்வுகளுக் கான ஆகப் ெபரிய ேசைவ நிறுவனமாக ‘எஸ்பி’ குழுமம் திகழும். வட்டாரக் குளிரூட்டுக் கட்டைமப்பு, ைமயப்படுத்தப்பட்ட குளிரூட்டுச் சாதனங்கைளப் பயன்படுத்தி, கட்டடங் களின் குளிரூட்டுத் ேதைவகைளப் பூர்த்திெசய்கிறது. இதனால் கட்டைமப் பின் உறுப்பினர்கள் தங்கள் ெசாந்தச் சாதனங்கைள வாங்குவதற்கான ேதைவ இருக்காது. குளிரூட்டு வசதிையப் பகிர்ந்துெகாள் வதாலும், எரிசக்திப் பயனீட்ைடச் சாத கமாகப் பயன்படுத்திக்ெகாள்வதாலும், உறுப்பினர்கள் கரிம ெவளிேயற்றத்ைதக் குைறக்கலாம்; ெசலவுகைள மிச்சப்படுத் தலாம்.

23.02.2021 星 期 二 Tuesday 农 历 辛 丑 年 正 月 十 二 新 闻 03 “ 乐 善 公 司 ”(Company of Good) 是 一 项 属 于 全 爱 心 礼 包 · 美 食 暖 心 国 志 愿 服 务 与 慈 善 中 心 (NVPC)、 能 帮 助 企 业 更 好 地 回 馈 社 会 的 计 划 。 乐 善 公 司 于 2017 年 推 出 “ 乐 善 大 使 ”(Champions of Good), 旨 在 肯 定 公 益 活 动 上 有 杰 出 贡 献 的 企 业 。 乐 善 大 使 去 年 , 共 有 74 家 企 业 积 极 通 过 它 们 的 献 关 怀 资 源 、 才 能 与 人 脉 行 善 , 热 心 公 益 的 精 神 获 得 肯 定 , 数 目 比 之 前 多 出 两 成 , 首 度 获 认 可 的 有 23 家 公 司 。 本 期 邀 请 其 中 两 家 企 业 : 新 加 坡 能 源 集 团 (SP Group), 以 及 三 水 供 应 服 务 有 限 公 司 (Samsui Supplies and Services), 分 享 他 们 多 年 来 的 行 善 心 得 , 以 及 接 下 来 如 何 继 续 为 有 需 要 团 体 伸 出 援 手 。 文 / 林 佩 碧 图 / 受 访 者 、 档 案 照 新 加 坡 能 源 集 团 个 星 期 前 , 正 当 人 们 都 在 为 过 年 忙 得 三 不 亦 乐 乎 , 超 过 400 名 来 自 新 加 坡 能 源 集 团 的 义 工 不 忘 和 社 会 上 较 不 幸 一 群 分 享 节 日 的 喜 悦 。 在 集 团 迈 入 第 八 个 年 头 的 "Power Packs" 常 年 慈 善 活 动 上 , 他 们 为 逾 2000 个 有 需 要 家 庭 送 上 节 日 礼 包 , 里 面 除 了 有 米 、 罐 头 、 饮 料 和 新 年 糕 饼 等 食 品 , 今 年 还 特 别 增 加 了 " 关 怀 礼 包 ", 包 括 口 罩 , 洁 手 液 和 湿 纸 巾 等 防 疫 用 品 , 希 望 受 惠 者 都 能 过 个 既 快 乐 又 安 全 的 新 年 。 今 年 由 于 疫 情 的 关 系 , 义 工 们 在 参 与 活 动 时 必 须 谨 遵 防 疫 措 施 , 比 如 在 准 备 礼 包 时 确 保 每 组 不 超 过 8 人 , 派 送 礼 包 的 时 间 有 一 定 的 间 隔 , 以 及 全 程 都 戴 口 罩 等 。 尽 管 冠 病 疫 情 大 大 地 改 变 了 人 们 的 生 活 , 新 加 坡 能 源 的 行 善 脚 步 却 不 曾 停 职 员 感 到 自 豪 多 年 来 坚 持 行 善 , 使 得 新 能 源 在 2016 年 获 颁 “ 总 统 志 愿 服 务 及 慈 善 事 业 奖 ” 的 最 高 荣 誉 , 以 及 连 续 三 次 得 到 乐 善 大 使 的 表 扬 。 新 能 源 集 团 总 裁 黄 天 源 表 示 , 集 团 推 动 的 多 项 回 馈 社 会 的 策 略 与 计 划 , 与 集 团 改 善 人 们 生 活 素 质 的 宗 旨 一 致 , 而 通 过 不 同 途 径 鼓 励 职 员 持 续 行 善 , 集 团 希 望 这 种 精 神 最 终 成 为 职 员 的 DNA。 他 指 出 , 团 体 行 善 的 一 大 收 获 , 便 是 有 助 于 加 强 集 团 上 下 职 员 的 团 体 精 神 和 身 为 集 团 的 一 份 子 而 感 到 自 豪 。 黄 天 源 透 露 , 集 团 接 下 来 将 在 确 保 各 方 安 全 和 有 意 义 的 方 式 下 , 继 续 扩 大 和 深 化 各 种 有 利 于 国 人 的 计 划 和 活 动 。 他 说 :“ 即 使 在 充 满 挑 战 和 未 知 的 疫 情 期 间 , 我 们 的 回 馈 项 目 持 续 进 行 , 目 的 是 让 社 会 上 的 弱 势 个 人 和 群 体 能 继 续 获 得 援 助 和 关 怀 。” 送 礼 包 分 享 节 日 喜 悦 止 。 事 实 上 , 自 本 地 暴 发 疫 情 初 期 , 新 加 坡 能 源 就 加 入 淡 马 锡 基 金 会 倡 议 “ 未 雨 绸 缪 ” (Stayed Prepared) 计 划 。 去 年 , 集 团 的 义 工 们 帮 忙 派 发 500 毫 升 的 无 酒 精 免 洗 消 毒 洗 手 液 给 近 150 万 户 家 庭 。 此 外 , 新 能 源 还 通 过 每 个 月 发 给 160 万 个 用 户 的 账 单 , 附 上 各 种 与 防 疫 相 关 的 信 息 , 协 助 新 加 坡 社 群 应 对 冠 病 疫 情 。 行 善 活 动 多 元 化 新 能 源 集 团 的 行 善 宗 旨 是 通 过 持 续 回 馈 社 会 , 改 善 人 们 的 生 活 素 质 , 属 下 的 “ 心 能 源 义 工 ”(SP Heart Workers) 就 分 别 通 过 筹 集 善 款 和 从 事 志 愿 服 务 , 达 成 目 的 。 2005 年 成 立 的 “ 心 能 源 基 金 ”(SP Heartware Fund), 至 今 筹 得 的 款 项 超 过 1700 义 工 陪 伴 芽 笼 峇 鲁 乐 龄 中 心 老 人 做 早 操 。 万 元 。 该 基 金 的 款 项 来 自 新 能 源 职 员 , 伙 伴 和 公 众 的 捐 赠 。 新 能 源 也 为 职 员 的 捐 赠 做 出 一 元 对 一 元 的 配 对 。 集 团 旗 下 多 个 与 年 长 者 相 关 的 慈 善 活 动 都 由 此 基 金 拨 款 。 新 能 源 也 十 分 鼓 励 属 下 3500 名 职 员 当 义 工 , 不 但 提 供 一 天 的 义 工 假 , 义 工 的 活 动 也 十 分 多 元 化 , 除 了 上 述 的 分 送 食 品 礼 包 活 动 , 还 有 与 居 民 分 享 节 能 安 全 知 识 、 开 办 数 码 诊 所 、 陪 年 长 者 做 晨 运 等 , 以 吸 引 职 员 加 入 。 每 一 年 ,“ 心 能 源 义 工 ” 加 起 来 约 有 7000 个 义 务 工 作 小 时 。 以 他 们 在 大 巴 窑 西 - 马 里 士 他 乐 龄 活 动 中 心 的 活 动 为 例 , 过 去 三 年 ,“ 心 能 源 义 工 ” 每 周 都 准 时 为 那 里 的 老 人 送 上 两 顿 午 餐 , 每 年 提 供 的 午 餐 多 达 7200 顿 , 疫 情 期 间 也 不 例 外 。 �▲�“ 心 能 源 义 工 ” 在 新 年 前 为 2000 多 户 有 需 要 家 庭 送 上 礼 包 。 即 使 在 充 满 挑 战 和 未 知 的 疫 情 期 间 , 我 们 的 回 馈 项 目 持 续 进 行 , 目 的 是 让 社 会 上 的 弱 势 个 人 和 群 体 能 继 续 获 得 援 助 和 关 怀 。 —— 新 能 源 集 团 总 裁 黄 天 源 � 义 工 每 周 为 大 巴 窑 西 - 马 里 士 他 乐 龄 中 心 的 老 人 送 餐 。

Institute of Technical Education student Muhammad Rayyan Faiszal trying his hand at unrolling power cables from a mobile generator during a tour of SP Group’s electricity command centre in Ayer Rajah yesterday. The 19-year-old works at a wet market on weekends to help support his family. ST PHOTO: JASON QUAH 450 ITE engineering students to benefit from new study award Nicole Cheah A total of 450 students pursuing engineering courses at the Institute of Technical Education (ITE) will be able to tap a new study award to help finance their studies and daily expenses. They will receive a total of $3,000 each under the SP Group Engineering Study Awards, through a donation of $1.35 million by the Singapore utility group. Three separate cohorts of 150 students from low-income families will benefit from the awards over the next three years from July. ITE chief executive Low Khah Gek said at the launch of the awards yesterday: “With this study award, our financially needy students can take on fewer part-time jobs, and instead focus more on their studies and excel.” Mr Muhammad Rayyan Faiszal, 19, who works at a wet market on weekends, is among the first batch of students to receive the awards. Muhammad Rayyan Faiszal and Celeste Koh Xing En are among the first batch of students to receive the SP Group Engineering Study Awards. The first-year Nitec student in electrical technology at ITE College West said: “I am happy to receive the award as it relieves the pressure of having to think about putting in more hours at work and earning more for my family.” His mother works in sales and his father is a Grab driver. The awards are given to students based on their good academic performance and conduct. Ms Celeste Koh Xing En, 17, a first-year Nitec student in the mechatronics and robotics course, said the award will help her financially and is also a good barometer of her progress in school. Ms Koh, who lives in a tworoom rental flat with her mother and older brother, added: “When my mum heard that I got this award, she was quite happy as it showed that my efforts were producing results.” In addition to the study awards, SP will also provide work-study stints in power grid, sustainable energy, and new technologies for ITE students. It will also provide mentorships with its engineers, some of whom are ITE alumni. Over the years, SP has awarded more than 450 education scholarships, sponsorships and book prizes amounting to $10 million to students in the field of engineering. nicolecheah@sph.com.sg

TAKING HEART SP Group donates S$1.35m to support 450 disadvantaged ITE students It will send students on work-study stints in power grids, sustainable energy, new tech. BY MEGAN CHEAH SINGAPORE utility group SP Group is donating S$1.35 million to support 450 engineering school students in the Institute of Technical Education (ITE) through the inaugural SP Group Engineering Study Awards. The funds will be disbursed monthly to the students, who come from low-income families, over the next 3 years, the group said Launched on Tuesday (Apr 12), the new awards will complement existing book prizes for ITE’s electrical engineering students offered by the group. The group is working with ITE to send students on work-study stints in areas such as power grids, sustainable energy, and new technologies. It also links students up with SP Group’s engineers, who serve as mentors. The group noted that more than 16 per cent of its 3,600 staff are ITE alumni. Among them, close to 60 per cent went on to pursue further education and attained diplomas or degrees. Stanley Huang, group chief executive officer (CEO) of SP Group, said the group is committed to encouraging youth to pursue their career aspirations regardless of their socio-economic background. “ITE has provided many of our technical officers and technicians a strong foundation to grow their engineering capabilities,” he added. ITE CEO Low Khah Gek said the study award will enable students with financial needs to take on fewer part-time jobs and Left and above: ITE students and SP Powergrid staff. The funds from the SP Group Engineering Study Awards will be disbursed monthly to 450 ITE students over the next 3 years. PHOTOS: SP GROUP focus on their education. One such award recipient is Jackie Lim, a first-year Nitec mechatronics and robotics student who works part-time at a supermarket to help with his family’s expenses. “I am happy to receive the study award, because it means I do not need to keep thinking about having to work more hours and can instead focus more time on school,” said Lim. For over 20 years, SP Group has awarded more than 450 education scholarships, sponsorships and book prizes, amounting to S$10 million, to students with a passion for engineering across all tertiary education institutions. megancheah@sph.com.sg

GAS TRANSPORTATION TARIFFS (for Shippers with Natural Gas Distribution customers) (W.E.F. 1 Apr 26) 1 Introduction 1.1 Under the Gas Network Code, PowerGas is the Gas Transporter and is responsible for maintaining the reliability and safety of the gas transportation network in Singapore. PowerGas’ transportation business is regulated by the Energy Market Authority (EMA). The transportation tariffs levied by PowerGas are approved by the EMA. 1.2 The transportation tariffs are levied on Shippers. Shippers pay transmission as well as distribution charges as part of the distribution tariff for transportation of natural gas to distribution-level end-users. This is to reflect the cost of transporting gas through both the transmission and distribution networks. 1.3 End-user transportation charges imposed by Shippers are commercial arrangements between the Shippers and their end-users. 2 Natural Gas Distribution Tariffs 2.1 Arising from EMA’s notification to the industry dated 21 March 2024, a GSC of 23 cents/mmBtu for PNG Injection Points or GSC of 4 cents/mmBtu for LNG Injection Points is imposed on PNG and LNG gas users respectively with effect from 1 Apr 26 to recover the cost associated with Strategic Capacity (as defined in EMA's Policy Paper issued to the industry dated 30 Sep 2019). The Transporter will collect the GSC from all Shippers as an agent for and on behalf of SLNG. The GSC will be reviewed from time to time as directed by EMA and will be included as an uplift in the transmission usage charge. 2.2 The Distribution tariff is made up of two components (i.e. a Transmission Charge component and a Distribution Charge component). 3 Transmission Charging Structure 3.1 Transmission charges consist of capacity and usage charges. Shippers book capacity with PowerGas to transport gas from designated injection points to off-take points. Shippers pay entry and exit charges based on their respective booked capacity. In addition, uniform usage charge is levied on the volume of gas transported. Details of the transmission charge components are shown in Table 1 of the Appendix. 3.2 Shippers will have to pay Overrun Charges in the event they off-take gas above their booked capacity. These Overrun Charges are necessary to encourage the efficient use of the gas network. There are two types of Overrun Charges: • Authorised Capacity Overrun Charge: If a Shipper applies for additional capacity above the booked capacity (i.e. capacity overrun), the Authorised Capacity Overrun Charge, equivalent to 1.25 times the Transmission Capacity Charge rate, shall be applied on that additional capacity. • Unauthorised Capacity Overrun Charge: If a Shipper does not apply for Authorised Capacity Overrun for utilisation of additional capacity above the booked capacity, it will pay 2 times the Transmission Capacity Charge rate for that additional capacity utilised. 4 Distribution Charging Structure The Distribution Charge component is a usage-based charge in $/MMBtu. The Distribution Network is segregated into two service areas as follows: • The Jurong Island, Jurong and Tuas (“JIT”) area 2 • Outside the JIT area As the cost to serve the area outside JIT is higher than the JIT area, this results in a higher usage charge for the former. The Distribution Charges are shown in Table 2 of the Appendix. 5 Appendix – Table of Charges Table 1: Transmission Charges for Shippers with Natural Gas Distribution Customers (Exclusive of GST) Entry capacity charge ($/MMBtu/hr) Per Annum (a) Exit capacity charge ($/MMBtu/hr) Per Annum (b) Transmission capacity charge ($/MMBtu/hr) Per Annum (a) + (b) Transmission usage charge (comprising non-GSC and GSC) (¢/MMBtu) a) PNG source Transmission Network 1 537.20 2,432.36 2,969.56 1.59 + 23.0 Transmission Network 2 * 2,158.83 810.73 2,969.56 1.59 + 23.0 Transmission Network 2^ 1,637.32 1,332.24 2,969.56 1.59 + 23.0 b) LNG source Transmission Network 1 769.89 2,706.41 3,476.30 1.90 + 4.00 Transmission Network 2 1,470.60 2,005.70 3,476.30 1.90 + 4.00 Table 1a: Transmission Charges for Shippers with Natural Gas Distribution Customers (Inclusive of 9% GST) + Entry capacity charge ($/MMBtu/hr) Per Annum (a) Exit capacity charge ($/MMBtu/hr) Per Annum (b) Transmission capacity charge ($/MMBtu/hr) Per Annum (a) + (b) Transmission usage charge (comprising non-GSC and GSC) (¢/MMBtu) a) PNG source Transmission Network 1 585.55 2,651.27 3,236.82 1.73 + 25.1 Transmission Network 2 * 2,353.12 883.70 3,236.82 1.73 + 25.1 Transmission Network 2^ 1,784.68 1,452.14 3,236.82 1.73 + 25.1 b) LNG source Transmission Network 1 839.18 2,949.99 3,789.17 2.07 + 4.36 Transmission Network 2 1,602.95 2,186.21 3,789.17 2.07 + 4.36 Notes: 1) Transmission Network 1 refers to the natural gas transmission network conveying both piped natural gas and regasified LNG from West Natuna (Indonesia) and the LNG Terminal. Transmission Network 2 is the natural gas transmission network conveying both piped natural gas and regasified LNG from South Sumatra (Indonesia), Attap Valley (Malaysia) and the LNG Terminal. 2) * For gas injection at Attap Valley. 3) ^ For gas injection at Sakra. 3 Table 2: Distribution Charges (Exclusive of GST) Tariff Category Distribution charge ($/MMBtu) Natural gas distribution in JIT 1.228 Natural gas distribution outside JIT 3.413 Table 2a: Distribution Charges (Inclusive of 9% GST) + Tariff Category Distribution charge ($/MMBtu) Natural gas distribution in JIT 1.339 Natural gas distribution outside JIT 3.720 + Note: Figures may not reflect the full GST effect due to rounding. 4

GRID-TIED PHOTOVOLTAIC (PV) SYSTEM: APPLICATION FOR DECOMMISSIONING OF PV SYSTEM IN THE PREMISES To: SP PowerGrid Ltd 2 Kallang Sector Singapore 349277 For official use only Application No. Date Received PART I : APPLICANT’S DETAILS I hereby acknowledge the application to decommission the entire PV system in my premises as given in Part II by my Licensed Electrical Worker responsible for the PV system, including closing of associated PV account (if applicable). Name of Company / Applicant: Department / Sub-BU: Name of Authorised Person & Designation: Forwarding Address: Telephone: Email: Signature: Date: (DD/MM/YYYY) PART II : PV INSTALLATION DETAILS (TO BE COMPLETED BY LEW) Installation Address: Electrical Installation License No.: Utility Account No (Existing): Installation Intake Voltage: Existing Approved PV Capacity: kWp kWac I, (LEW No.: ), the (Name) undersigned Licensed Electrical Worker (LEW) for the PV system at the above premises, wish to apply for decommissioning of the entire PV system at the above premises on: Date: (at least 30 days in advance from date of application) (DD/MM/YYYY) Signature: Date: (DD/MM/YYYY) Page 1 of 1 Ver 1.0

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 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 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 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 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. [Media+Release]+Digital+Twin+for+National+Power+Grid.pdfhttps://www.spgroup.com.sg/dam/spgroup/wcm/connect/spgrp/45562f72-f426-4d68-886e-28ae29cfe57b/%5BMedia+Release%5D+Digital+Twin+for+National+Power+Grid.pdf?MOD=AJPERES&CVID= MEDIA RELEASE 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. 2 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 Twin 1 for the health management of grid assets (such as substations, transformers, cables); and • Network Twin 2 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.) 3 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 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). 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. 4 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. 5 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.” 6 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.” 7 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 About Energy Market Authority -- End -- 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: a. 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 Laboratory 3 . b. 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). 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-stransition-to-electric-vehicles. 3 Key benefits of the Grid Digital Twin are: a. 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. b. Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads. c. 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 OF 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) 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 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

Consumption_Water Average consumption of Water (CuM) Premises Types Apr-24 May-24 Jun-24 Jul-24 Aug-24 Sep-24 Oct-24 Nov-24 Dec-24 Jan-25 Feb-25 Mar-25 HDB 1-Room 8.4 8.1 7.7 7.5 8.1 8.3 7.9 8.1 7.8 7.8 7.8 7.2 HDB 2-Room 10.0 9.5 8.7 8.7 9.4 9.5 9.2 9.3 9.0 9.0 9.1 8.4 HDB 3-Room 12.9 12.0 11.5 11.6 12.4 12.5 12.2 12.2 12.0 11.9 12.0 11.2 HDB 4-Room 16.3 15.3 14.7 14.6 15.6 15.7 15.3 15.5 15.1 14.9 15.2 14.3 HDB 5-Room 17.7 16.7 16.0 15.6 16.9 17.1 16.7 17.0 16.4 16.1 16.7 15.8 HDB Executive 19.7 18.6 17.7 17.7 18.8 19.1 18.5 18.8 18.1 17.9 18.7 17.8 Apartment 14.3 13.2 12.7 12.5 13.1 13.8 13.8 13.8 13.3 12.8 13.0 12.7 Terrace 28.4 24.2 24.1 24.7 25.7 26.7 25.9 26.2 25.6 24.7 25.7 24.7 Semi-Detached 34.6 30.2 28.3 30.0 31.5 33.4 31.4 32.2 30.9 30.4 30.6 29.8 Bungalow 58.1 50.4 42.1 49.6 48.1 54.7 52.4 52.4 50.2 49.8 49.4 48.6

Utility Bill Avg_With Gas Utility Bill Average ($) for households with gas Premises Types May-24 Jun-24 Jul-24 Aug-24 Sep-24 Oct-24 Nov-24 Dec-24 Jan-25 Feb-25 Mar-25 Apr-25 HDB 1-Room 87.29 84.83 81.86 87.86 87.69 83.11 84.19 79.07 78.29 77.04 73.76 80.08 HDB 2-Room 102.84 98.53 96.07 102.96 101.39 96.90 97.62 92.27 91.27 89.30 85.50 92.72 HDB 3-Room 128.10 124.29 121.74 129.94 128.83 123.83 123.57 117.18 114.72 112.98 109.85 119.73 HDB 4-Room 153.34 147.42 143.11 152.92 152.86 146.17 146.88 140.21 135.59 135.07 130.30 142.95 HDB 5-Room 162.85 156.27 149.96 161.67 162.41 156.08 156.45 149.31 142.48 144.01 139.05 152.34 HDB Executive 180.19 172.48 168.80 178.86 180.50 172.04 172.61 163.45 157.40 159.60 154.76 169.93 Apartment 191.52 184.01 175.50 181.94 191.11 186.36 183.84 175.37 163.41 158.33 158.04 175.68 Terrace 286.03 283.33 283.80 289.68 301.49 291.00 290.49 277.89 263.67 267.59 261.56 279.64 Semi-Detached 372.29 354.71 361.00 367.73 385.46 366.17 370.19 349.08 335.83 332.11 329.24 351.85 Bungalow 731.30 675.72 711.32 685.95 762.28 719.32 712.26 661.91 659.36 621.11 635.40 675.97 Note: The figures exclude electricity charges for PAYU customers and customers who are not purchasing electricity at the regulated tariff. Utility Bill Avg_WO Gas Utility Bill Average ($) for households without gas Premises Types May-24 Jun-24 Jul-24 Aug-24 Sep-24 Oct-24 Nov-24 Dec-24 Jan-25 Feb-25 Mar-25 Apr-25 HDB 1-Room 78.52 76.28 73.55 78.77 78.62 74.36 75.37 70.55 69.80 67.47 64.90 70.52 HDB 2-Room 93.59 89.84 87.41 93.80 92.26 88.22 88.72 83.62 82.58 80.06 76.74 83.39 HDB 3-Room 115.38 112.09 109.70 116.95 115.78 111.35 111.05 105.02 102.49 100.23 97.68 106.96 HDB 4-Room 137.64 132.74 128.46 137.02 136.76 130.76 131.35 125.25 120.76 119.36 114.92 126.86 HDB 5-Room 145.63 140.07 134.00 144.16 144.59 138.87 139.24 132.77 126.41 126.62 121.76 134.46 HDB Executive 161.79 155.45 151.54 160.36 161.59 153.95 154.44 146.15 140.37 140.97 136.47 150.92 Apartment 171.33 164.80 156.02 161.06 169.18 164.23 161.75 154.01 142.43 135.55 134.92 152.04 Terrace 262.69 259.01 258.83 264.59 274.69 263.93 263.37 250.88 239.06 240.95 235.09 253.19 Semi-Detached 342.81 328.12 331.78 338.46 354.82 336.52 340.26 319.77 307.20 301.32 299.32 321.27 Bungalow 678.65 633.29 661.40 638.62 711.71 667.03 661.57 617.06 610.72 573.47 585.41 625.30 Note: The figures exclude electricity charges for PAYU customers and customers who are not purchasing electricity at the regulated tariff.

Consumption_Elect Average consumption of Electricity (kWh) Premises Types Oct-23 Nov-23 Dec-23 Jan-24 Feb-24 Mar-24 Apr-24 May-24 Jun-24 Jul-24 Aug-24 Sep-24 HDB 1-Room 146 144 135 126 126 132 150 152 149 140 151 148 HDB 2-Room 190 188 176 164 167 173 199 199 195 183 198 192 HDB 3-Room 274 269 247 236 241 250 292 285 277 264 283 277 HDB 4-Room 374 370 342 321 330 342 398 396 383 360 385 381 HDB 5-Room 437 436 401 367 381 399 463 466 448 416 447 446 HDB Executive 541 530 478 456 474 489 575 568 544 515 546 548 Apartment 537 541 483 430 435 486 578 573 543 500 513 539 Terrace 890 881 804 740 794 821 957 900 872 838 847 885 Semi-Detached 1,187 1,174 1,065 1,019 1,038 1,109 1,254 1,224 1,170 1,128 1,126 1,168 Bungalow 2,308 2,358 2,075 2,106 1,951 2,146 2,432 2,360 2,266 2,220 2,121 2,347 Note: The figures exclude electricity consumption for PAYU customers and customers who are not purchasing electricity at the regulated tariff.