Banking & Finance Reits & Property Energy & Commoditi SP Group wins tender for rst district cooling project in Thailand Navene Elangovan Published Mon, Sep 25, 2023 · 12:14 pm SP Group and Banpu Next say that the project will allow the complex centre to save about S$1.6 million in electricity costs yearly. PHOTO: SP GROUP SP Group SP GROUP’S joint venture (JV) with Thai smart energy solutions provider Banpu Next has won a tender to design, build, own and operate a district cooling system in Bangkok. The project at Government Complex Centre Zone C in the city marks SP Group’s rst district cooling project in Thailand. It will be completed next year. The district cooling system will operate a total cooling capacity of up to 14,000 refrigeration tonnes for the complex centre’s total gross oor area of 660,000 square metres. On Monday (Sep 25), SP Group and Banpu Next said that the project will allow the complex centre to save about S$1.6 million in electricity costs yearly. It will also help the complex centre achieve energy savings of 20 per cent and reduce emissions by up to 3,000 tonnes annually. “This equates to removing about 20,000 internal combustion engine cars from the roads cumulatively over the 20-year contract period,” the companies said. The tender was awarded by Dhanarak Asset Development, a wholly-owned subsidiary under Thailand’s Ministry of Finance. The companies added that their venture will provide reliable and energy-ef cient chilled water to the network of buildings within the complex through the cooling system, and install an electric vehicle (EV) charging station at the facility. SP Group and Banpu Next will also support their JV in exploring the potential deployment of additional sustainable solutions including EV buses, solar power systems, and energy storage systems. Stanley Huang, SP Group’s chief executive, said the tender win represents the national grid operator’s “ rst success in Thailand’s district cooling market”. “We are well-positioned to expand our network and enable the rapid adoption of sustainable cooling across the region, including Thailand, Vietnam and Indonesia,” he said.

3 March 2016 News Release For immediate release WORLD’S LARGEST UNDERGROUND DISTRICT COOLING NETWORK AT MARINA BAY SAVES MORE THAN 40 PER CENT IN ENERGY FOR CUSTOMERS National Development Minister commissions Singapore District Cooling’s district cooling network, with Marina One signing customer contract today Singapore, 3 March 2016 – Singapore District Cooling (SDC), a subsidiary of Singapore Power (SP), formally commissioned its plant operations with the completion of a major expansion project, making it the world’s largest underground district cooling network. SDC serves key buildings in the Marina Bay financial district, including the Marina Bay Sands Integrated Resort, Marina Bay Financial Centre and Gardens By The Bay and is set to welcome new customers in the district. Chilled water generated by SDC is used for air conditioning. Customers enjoy the efficiency and energy savings of more than 40 per cent. This is achieved by leveraging economies of scale, optimising asset efficiency and upholding operational excellence. SDC’s underground centralised system eliminates the space requirements and upfront costs for customers’ own on-site chillers and roof-top spaces for cooling towers. At the event officiated by National Development Minister Lawrence Wong, SDC signed a new supply agreement with the mixed-use Marina One development at Marina South. Mr Ng Lang, CEO of Urban Redevelopment Authority, said, “Developing a centralised district cooling network to serve the Marina Bay precinct is a bold idea many years in the making. Today, we reap the benefits from early planning and thoughtful design, from freeing up space and saving costs to reducing carbon emissions. We are delighted to have worked with Singapore Power and many other partners to realise this vision for a vibrant and sustainable Marina Bay, one that is supported by world-class infrastructure.” Singapore Power’s Group CEO, Mr Wong Kim Yin, said, “SDC provides an efficient, reliable and sustainable solution that translates to significant energy savings for customers. Through SDC, Singapore has another world-class solution that can contribute to meeting the world’s need for a sustainable future.” Asia Square, one of SDC’s existing customers, has reaped environmental benefits and cost savings from SDC’s operations. Mr Philip Chan, Asia Square’s Sustainability Manager said: “As one of Singapore's finest developments in the heart of the city, environmental sustainability is an important feature for Asia Square. With Singapore District Cooling's energy-efficient cooling system, we are very happy with both the energy and cost savings that we have been able to achieve.” ### Media contacts: Andrew Ang, Corporate Affairs, Singapore Power DID: +65 6378 8231 Email: andrewang@singaporepower.com.sg About Singapore Power Singapore Power Group (SP) is a leading energy utility group in the Asia Pacific. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and district cooling businesses in Singapore and China. More than 1.4 million industrial, commercial and residential customers in Singapore benefit from SP’s world-class transmission, distribution and market support services. The networks in Singapore are amongst the most reliable and cost-effective worldwide. For more information, please visit www.singaporepower.com.sg. Issued by: Singapore Power Limited 10 Pasir Panjang Road #03-01 Mapletree Business City Singapore 117438 Co. Reg. No : 199406577N www.singaporepower.com.sg Key terms in Mandarin Singapore Power (SP) SP Group CEO Wong Kim Yin Singapore District Cooling (SDC) SDC Managing Director Jimmy Khoo Marina Bay District cooling network Marina One 新 加 坡 能 源 公 司 新 加 坡 能 源 集 团 总 裁 黄 锦 贤 新 加 坡 供 冷 有 限 公 司 滨 海 湾 供 冷 网 滨 海 盛 景

SPWebsite (without GST) Electricity Tariff (2014 - 2023) Rates are not inclusive of GST. Jul 23 Apr 23 Jan 23 Oct-22 Jul-22 Apr-22 Jan-22 Oct-21 Jul-21 Apr-21 Jan-21 Oct-20 Jul-20 Apr-20 Jan-20 Oct-19 Jul-19 Apr-19 Jan-19 Oct-18 Jul-18 Apr-18 Jan-18 Oct-17 Jul-17 Apr-17 Jan-17 Oct-16 Jul-16 Apr-16 Jan-16 Oct-15 Jul-15 Apr-15 Jan-15 Oct-14 Jul-14 Apr-14 Jan-14 LOW TENSION SUPPLIES, DOMESTIC All units, ¢/kWh                    27.74 27.43 28.95 29.74 30.17 27.94 25.44 24.11 23.38 22.55 20.76 21.43 19.60 23.02 24.24 23.43 24.22 22.79 23.85 24.13 23.65 22.15 21.56 20.30 20.72 21.39 20.20 19.13 19.27 17.68 19.50 20.35 22.41 20.87 23.29 25.28 25.68 25.73 25.65 LOW TENSION SUPPLIES, NON-DOMESTIC All units, ¢/kWh                    27.74 27.43 28.95 29.74 30.17 27.94 25.44 24.11 23.38 22.55 20.76 21.43 19.60 23.02 24.24 23.43 24.22 22.79 23.85 24.13 23.65 22.15 21.56 20.30 20.72 21.39 20.20 19.13 19.27 17.68 19.50 20.35 22.41 20.87 23.29 25.28 25.68 25.73 25.65 HIGH TENSION SMALL (HTS) SUPPLIES $/kW/month               13.44 12.67 11.95 11.95 11.95 10.90 10.90 10.90 10.90 10.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.58 8.58 8.58 8.58 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.15 8.15 8.15 8.15 7.49 7.49 7.49 7.49 7.49 Uncontracted Capacity Charge $/chargeable kW/month               20.16 19.01 17.93 17.93 17.93 16.35 16.35 16.35 16.35 16.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 12.87 12.87 12.87 12.87 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.23 12.23 12.23 12.23 11.24 11.24 11.24 11.24 11.24 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 25.13 24.77 26.37 27.17 27.81 25.71 22.77 21.24 20.44 19.54 17.88 18.63 16.52 20.51 21.76 20.85 21.74 20.15 21.40 21.71 21.27 19.56 18.88 17.47 17.94 18.68 17.27 16.07 16.22 14.50 16.59 17.40 19.72 18.20 21.05 23.22 23.67 23.75 23.67 Off-peak period (11.00pm to 7.00am)               15.15 14.96 15.92 16.69 16.49 14.54 13.77 13.01 12.51 11.85 11.20 11.67 10.55 12.50 13.28 12.71 13.26 12.28 13.09 13.27 12.65 11.77 11.37 10.55 10.84 11.3 10.51 9.84 9.93 8.78 10.08 11.04 12.29 10.72 12.71 14.19 14.40 14.35 14.45 Reactive power Charge ¢/chargeable kVARh               0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 HIGH TENSION LARGE (HTL) SUPPLIES Contracted Capacity Charge $/kW/month                    13.44 12.67 11.95 11.95 11.95 10.90 10.90 10.90 10.90 10.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.90 8.58 8.58 8.58 8.58 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.36 8.15 8.15 8.15 8.15 7.49 7.49 7.49 7.49 7.49 Uncontracted Capacity Charge $/chargeable kW/month                20.16 19.01 17.93 17.93 17.93 16.35 16.35 16.35 16.35 16.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 13.35 12.87 12.87 12.87 12.87 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.54 12.23 12.23 12.23 12.23 11.24 11.24 11.24 11.24 11.24 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 24.91 24.55 26.15 26.95 27.59 25.49 22.55 21.02 20.22 19.32 17.66 18.41 16.30 20.29 21.54 20.63 21.52 19.93 21.18 21.49 21.05 19.34 18.66 17.25 17.72 18.46 17.05 15.85 16.00 14.28 16.37 17.18 19.50 17.98 20.83 23.00 23.45 23.53 23.45 Off-peak period (11.00pm to 7.00am)        15.14 14.95 15.91 16.68 16.48 14.53 13.76 13.00 12.50 11.84 11.19 11.66 10.54 12.49 13.27 12.70 13.25 12.27 13.08 13.26 12.64 11.76 11.36 10.54 10.83 11.29 10.50 9.83 9.92 8.77 10.07 11.03 12.28 10.71 12.70 14.18 14.39 14.34 14.44 Reactive power Charge ¢/chargeable kVARh                0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 EXTRA HIGH TENSION (EHT) SUPPLIES Contracted Capacity Charge 7.54 7.54 7.54 7.54 7.38 7.38 7.38 7.38 6.90 6.90 6.90 6.90 6.90 $/kW/month                    11.06 10.56 10.09 10.09 10.09 9.33 9.33 9.33 9.33 9.33 7.87 7.87 7.87 7.87 7.87 7.87 7.87 7.87 7.68 7.68 7.68 7.68 7.54 7.54 7.54 7.54 Uncontracted Capacity Charge $/chargeable kW/month               16.59 15.84 15.14 15.14 15.14 14.00 14.00 14.00 14.00 14.00 11.81 11.81 11.81 11.81 11.81 11.81 11.81 11.81 11.52 11.52 11.52 11.52 11.31 11.31 11.31 11.31 11.31 11.31 11.31 11.31 11.07 11.07 11.07 11.07 10.35 10.35 10.35 10.35 10.35 kWh charge, ¢/kWh                                Peak period (7.00am to 11.00pm) 23.96 23.61 25.16 25.96 26.57 24.48 21.61 20.11 19.31 18.42 16.81 17.54 15.47 19.39 20.62 19.72 20.6 19.03 20.26 20.57 20.12 18.44 17.77 16.38 16.84 17.57 16.18 15.01 15.16 13.45 15.52 16.33 18.62 17.1 19.91 22.06 22.50 22.58 22.50 Off-peak period (11.00pm to 7.00am)           15.04 14.85 15.79 16.56 16.35 14.40 13.65 12.90 12.40 11.74 11.11 11.57 10.46 12.39 13.16 12.6 13.15 12.17 12.97 13.15 12.54 11.66 11.26 10.45 10.74 11.19 10.41 9.74 9.83 8.69 9.99 10.94 12.18 10.62 12.60 14.08 14.28 14.23 14.34 Reactive power Charge ¢/chargeable kVARh               0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 0.48 SPWebsite (with GST) Electricity Tariff (2014 - 2023) Rates are inclusive of GST. Jul-23 Apr-23 Jan-23 Oct-22 Jul-22 Apr-22 Jan-22 Oct-21 Jul-21 Apr-21 Jan-21 Oct-20 Jul-20 Apr-20 Jan-20 Oct-19 Jul-19 Apr-19 Jan-19 Oct-18 Jul-18 Apr-18 Jan-18 Oct-17 Jul-17 Apr-17 Jan-17 Oct-16 Jul-16 Apr-16 Jan-16 Oct-15 Jul-15 Apr-15 Jan-15 Oct-14 Jul-14 Apr-14 Jan-14 LOW TENSION SUPPLIES, DOMESTIC All units, ¢/kWh                    29.96 29.62 31.27 31.82 32.28 29.90 27.22 25.80 25.02 24.13 22.21 22.93 20.97 24.63 25.94 25.07 25.92 24.39 25.52 25.82 25.31 23.70 23.07 21.72 22.17 22.89 21.61 20.47 20.62 18.92 20.87 21.77 23.98 22.33 24.92 27.05 27.48 27.53 27.45 LOW TENSION SUPPLIES, NON-DOMESTIC All units, ¢/kWh                    29.96 29.62 31.27 31.82 32.28 29.90 27.22 25.80 25.02 24.13 22.21 22.93 20.97 24.63 25.94 25.07 25.92 24.39 25.52 25.82 25.31 23.70 23.07 21.72 22.17 22.89 21.61 20.47 20.62 18.92 20.87 21.77 23.98 22.33 24.92 27.05 27.48 27.53 27.45 HIGH TENSION SMALL (HTS) SUPPLIES $/kW/month               14.52 13.68 12.91 12.79 12.79 11.66 11.66 11.66 11.66 11.66 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.18 9.18 9.18 9.18 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.72 8.72 8.72 8.72 8.01 8.01 8.01 8.01 8.01 Uncontracted Capacity Charge $/chargeable kW/month               21.77 20.53 19.36 19.19 19.19 17.49 17.49 17.49 17.49 17.49 14.28 14.28 14.28 14.28 14.28 14.28 14.28 14.28 13.77 13.77 13.77 13.77 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.09 13.09 13.09 13.09 12.03 12.03 12.03 12.03 12.03 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 27.14 26.75 28.48 29.07 29.76 27.51 24.36 22.73 21.87 20.91 19.13 19.93 17.68 21.95 23.28 22.31 23.26 21.56 22.90 23.23 22.76 20.93 20.20 18.69 19.20 19.99 18.48 17.19 17.36 15.52 17.75 18.62 21.10 19.47 22.52 24.85 25.33 25.41 25.33 Off-peak period (11.00pm to 7.00am)               16.36 16.16 17.19 17.86 17.64 15.56 14.73 13.92 13.39 12.68 11.98 12.49 11.29 13.38 14.21 13.60 14.28 13.14 14.01 14.20 13.54 12.59 12.17 11.29 11.60 12.09 11.25 10.53 10.63 9.39 10.79 11.81 13.15 11.47 13.60 15.18 15.41 15.35 15.46 Reactive power Charge ¢/chargeable kVARh               0.64 0.64 0.64 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 HIGH TENSION LARGE (HTL) SUPPLIES Contracted Capacity Charge $/kW/month                    14.52 13.68 12.91 12.79 12.79 11.66 11.66 11.66 11.66 11.66 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.52 9.18 9.18 9.18 9.18 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.95 8.72 8.72 8.72 8.72 8.01 8.01 8.01 8.01 8.01 Uncontracted Capacity Charge $/chargeable kW/month                21.77 20.53 19.36 19.19 19.19 17.49 17.49 17.49 17.49 17.49 14.28 14.28 14.28 14.28 14.28 14.28 14.28 14.28 13.77 13.77 13.77 13.77 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.42 13.09 13.09 13.09 13.09 12.03 12.03 12.03 12.03 12.03 kWh charge, ¢/kWh Peak period (7.00am to 11.00pm) 26.90 26.51 28.24 28.84 29.52 27.27 24.13 22.49 21.64 20.67 18.90 19.70 17.44 21.71 23.05 22.07 23.03 21.33 22.66 22.99 22.52 20.69 19.97 18.46 18.96 19.75 18.24 16.96 17.12 15.28 17.52 18.38 20.87 19.24 22.29 24.61 25.09 25.18 25.09 Off-peak period (11.00pm to 7.00am)        16.35 16.15 17.18 17.85 17.63 15.55 14.72 13.91 13.38 12.67 11.97 12.48 11.28 13.36 14.20 13.59 14.18 13.13 14.00 14.19 13.52 12.58 12.16 11.28 11.59 12.08 11.24 10.52 10.61 9.38 10.77 11.80 13.14 11.46 13.59 15.17 15.40 15.34 15.45 Reactive power Charge ¢/chargeable kVARh                0.64 0.64 0.64 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 0.63 EXTRA HIGH TENSION (EHT) SUPPLIES Contracted Capacity Charge $/kW/month                    11.94 11.40 10.90 10.80 10.80 9.98 9.98 9.98 9.98 9.98 8.42 8.42 8.42 8.42 8.42 8.42 8.42 8.42 8.22 8.22 8.22 8.22 8.07 8.07 8.07 8.07 8.07 8.07 8.07 8.07 7.90 7.90 7.90 7.90 7.38 7.38 7.38 7.38 7.38 Uncontracted Capacity Charge $/chargeable kW/month               17.92 17.11 16.35 16.20 16.20 14.98 14.98 14.98 14.98 14.98 12.64 12.64 12.64 12.64 12.64 12.64 12.64 12.64 12.33 12.33 12.33 12.33 12.10 12.10 12.10 12.10 12.10 12.10 12.10 12.10 11.84 11.84 11.84 11.84 11.07 11.07 11.07 11.07 11.07 kWh charge, ¢/kWh                                Peak period (7.00am to 11.00pm) 25.88 25.50 27.17 27.78 28.43 26.19 23.12 21.52 20.66 19.71 17.99 18.77 16.55 20.75 22.06 21.10 22.04 20.36 21.68 22.01 21.53 19.73 19.01 17.53 18.02 18.80 17.31 16.06 16.22 14.39 16.61 17.47 19.92 18.30 21.30 23.60 24.08 24.16 24.08 Off-peak period (11.00pm to 7.00am)           16.24 16.04 17.05 17.72 17.49 15.41 14.61 13.80 13.27 12.56 11.89 12.38 11.19 13.26 14.08 13.48 14.07 13.02 13.88 14.07 13.42 12.48 12.05 11.18 11.49 11.97 11.14 10.42 10.52 9.30 10.69 11.71 13.03 11.36 13.48 15.07 15.28 15.23 15.34 Reactive power Charge ¢/chargeable kVARh               0.52 0.52 0.52 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51 0.51

Consumption_Water Average consumption of Water (CuM) Premises Types Apr-23 May-23 Jun-23 Jul-23 Aug-23 Sep-23 Oct-23 Nov-23 Dec-23 Jan-24 Feb-24 Mar-24 HDB 1-Room 7.9 8.0 8.1 8.0 7.9 8.0 8.0 8.0 7.8 7.8 8.0 8.3 HDB 2-Room 9.4 9.6 9.7 9.4 9.5 9.5 9.5 9.6 9.3 9.3 9.3 9.7 HDB 3-Room 12.3 12.2 12.5 12.1 12.4 12.4 12.4 12.3 12.0 12.0 12.2 12.8 HDB 4-Room 15.4 15.4 15.6 15.1 15.5 15.7 15.7 15.5 15.1 15.0 15.5 16.2 HDB 5-Room 16.9 16.7 16.9 16.3 16.8 17.1 17.1 16.9 16.4 16.1 16.7 17.8 HDB Executive 18.7 18.6 18.8 18.2 18.9 19.0 19.2 18.8 18.1 18.1 18.8 19.9 Apartment 14.0 13.7 13.7 13.2 13.3 13.7 13.9 13.7 13.1 12.8 13.1 14.4 Terrace 25.4 25.3 26.0 25.5 25.9 26.0 26.5 26.5 25.2 24.3 25.8 28.0 Semi-Detached 30.6 30.7 30.9 30.7 31.5 31.6 32.9 31.9 30.4 30.0 30.7 34.9 Bungalow 48.7 50.9 48.1 48.0 48.5 51.7 54.8 54.2 48.6 49.4 46.3 59.5

Media Coverage Catch the latest news on SP All Years 26 Mar 2025 SP Group donates S$700,000 to St Andrew's Autism Centre Source: The Business Times © SPH Media Limited. Permission required for reproduction. 25 Mar 2025 SP Group donates $700,000 to uplift employability of youths with autism Source: Lianhe Zaobao © SPH Media Limited. Permission required for reproduction. 25 Mar 2025 SP Group donates $700,000 to support youths with autism and their caregivers Source: Shin Min Daily News © SPH Media Limited. Permission required for reproduction. 14 Mar 2025 Seven buildings in Tampines begin using shared cooling system Source: The Straits Times © SPH Media Limited. Permission required for reproduction. 14 Mar 2025 New distributed cooling network in Tampines helps buildings to cut emissions Source: Lianhe Zaobao © SPH Media Limited. Permission required for reproduction. 14 Mar 2025 Tampines becomes first town centre retrofitted with sustainable distributed district cooling system Source: Berita Harian © SPH Media Limited. Permission required for reproduction. 14 Mar 2025 7 buildings in Tampines begin using shared cooling system Source: Tamil Murasu © SPH Media Limited. Permission required for reproduction. 25 Feb 2025 First Six EV chargers in Tengah launched, up to 32 ready by end-2025 Source: The Straits Times © SPH Media Limited. Permission required for reproduction. 25 Feb 2025 First batch of EV chargers at Tengah launched, powering green mobility Source: Lianhe Zaobao © SPH Media Limited. Permission required for reproduction. 25 Feb 2025 First six EV chargers installed In Tengah Source: Berita Harian © SPH Media Limited. Permission required for reproduction. 1 ... 5 6 7 ... 49

Media Release Tan Sri Hassan Marican to retire as Chairman of SP Group, succeeded by current Deputy Chairman Ms Leong Wai Leng Singapore, 28 December 2022 – SP Group (SP) announced that its Chairman Tan Sri Hassan Marican will be retiring from the SP Board on 1 January 2023. He will be succeeded by Ms Leong Wai Leng, currently Deputy Chairman of the SP Board. Tan Sri Hassan has been a director of SP’s Board since February 2011, and Chairman since June 2012. Under his stewardship, the company has been steadfast in maintaining the world-class performance of Singapore’s electricity and gas networks to ensure reliable and secure utilities supply to more than 1.6 million residential, commercial and industrial customers in Singapore. Beyond essential utilities, SP has expanded its services to a full suite of sustainable energy solutions for customers in Singapore, China, Vietnam and Thailand. Tan Sri Hassan has also paved the way for the expansion of SP’s philanthropy and community outreach efforts, from programmes for seniors to initiatives that benefit children and youth from vulnerable backgrounds. Ms Leong Wai Leng joined SP’s Board in April 2021. She is the Chief Financial Officer (CFO) of Temasek Holdings (TH) and Temasek International (TI), and Head of Singapore Projects at Temasek International. With effect from 1 January 2023, she will be appointed President, Singapore Market TI and relinquish her position as CFO of TH and TI. Ms Leong has extensive experience in both the public and private sectors. Prior to joining Temasek, she has held senior leadership positions in public listed companies in the engineering, industrial, hospitality and real estate sectors. In concluding his tenure at SP, Tan Sri Hassan said, “It has been a privilege to serve on the Board of SP Group for close to 12 years, working with my esteemed fellow Board members, and the committed management team. I salute the employees of the company who provide essential and sustainable services to households and businesses, and have been unwavering 1 in their duties especially in the last three years of challenges and uncertainty. I am confident that under Wai Leng’s stewardship as Chairman, SP will thrive and scale new heights in business and service excellence.” Ms Leong, who assumes her role as SP’s Chairman on 1 January 2023, said, “It is my honour to take up the mantle of Chairman and I am grateful to the Directors of the SP Board for their support. I have witnessed the steady progress of SP Group in its transformational journey, making many notable advancements in the engineering, energy and sustainability sectors. I look forward to working with the Board and management in bringing more of these endeavours to fruition.” SP Group paid tribute to Tan Sri Hassan for his leadership and care for people and the community. An established corporate leader in the international business community, SP said that the management and staff have gained tremendously from his vast experience and counsel in achieving several firsts in engineering excellence and building SP’s position as a leading sustainable energy solutions player in Singapore and the region. SP welcomes Ms Leong to her new role and looks forward to her leadership in guiding the company to achieve even more for all stakeholders. - Ends - 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, China, Vietnam and Thailand. 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. 2 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 and LinkedIn at spgrp.sg/linkedin. 3

新 能 源 与 中 企 合 作 在 广 州 知 识 城 开 发 供 冷 供 热 解 决 方 案 新 加 坡 能 源 集 团 与 中 新 广 州 知 识 城 投 资 开 发 公 司 签 署 合 作 协 议 , 双 方 成 立 合 资 企 业 , 在 中 新 广 州 知 识 城 开 发 节 省 能 源 的 供 冷 供 热 解 决 方 案 。 新 能 源 集 团 总 裁 黄 天 源 和 广 州 知 识 城 合 资 公 司 总 裁 陈 长 新 昨 天 在 新 加 坡 — 广 东 合 作 理 事 会 的 第 11 次 会 议 上 签 署 了 该 合 资 协 议 。 广 东 省 省 长 马 兴 瑞 和 我 国 交 通 部 长 王 乙 康 分 别 在 广 州 和 新 加 坡 主 持 了 此 次 线 上 视 频 会 议 。 在 这 项 协 议 下 , 新 能 源 将 与 知 识 城 合 资 公 司 共 同 开 发 九 龙 湖 “ 知 识 塔 ” 片 区 的 区 域 供 冷 供 热 系 统 。 知 识 城 合 资 公 司 是 由 广 州 开 发 区 管 委 会 和 凯 德 新 能 源 与 知 识 城 合 资 公 司 将 在 中 新 广 州 知 识 城 的 九 龙 湖 “ 知 识 塔 ” 片 区 , 共 同 开 发 节 能 的 供 冷 供 热 解 决 方 案 。 图 为 俯 瞰 中 新 广 州 知 识 城 的 实 景 。( 知 识 城 合 资 公 司 提 供 ) 集 团 合 资 建 立 。 这 不 是 新 能 源 第 一 次 把 该 技 术 引 进 中 国 。 从 去 年 9 月 起 , 新 能 源 也 为 凯 德 集 团 的 中 国 的 投 资 项 目 重 庆 来 福 士 广 场 经 营 类 似 的 节 能 供 冷 供 热 系 统 , 可 节 省 高 达 40% 以 上 的 电 力 。

Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search Singapore's First Digital Twin for National Power Gridhttps://www.spgroup.com.sg/about-us/media-resources/news-and-media-releases/Digital-Twin-for-National-Power-Grid Media Release Singapore's First Digital Twin for National Power Grid 27 October 2021 Singapore’s First Digital Twin for National Power Grid Created in collaboration with government agencies, industry players and research experts to enhance power grid resilience A brighter and more sustainable energy future – this is what Singapore’s first digital twin for the power grid will enable. Supported by the Energy Market Authority (EMA), SP Group (SP) and the Science and Technology Policy and Plans Office (S&TPPO) under the Prime Minister’s Office, the upcoming Grid Digital Twin will serve to enhance Singapore’s grid resilience to ensure grid reliability and support the deployment of cleaner energy sources.   The Grid Digital Twin is a virtual representation of the physical power grid assets and network and operates using real-time and historical data. It comprises two key models: Asset Twin1 for the health management of grid assets (such as substations, transformers, cables); and Network Twin2 for the assessment of impact on the grid when connecting new energy sources or consumers to the grid. The Grid Digital Twin is currently in a prototype stage and is expected to be fully developed over the next few years. When fully deployed, it will enable SP to better plan, operate and maintain the national power grid through modelling and simulations so that the actual works can be carried out in a more effective and efficient way. (Refer to Annex for more information.) Key benefits of the Grid Digital Twin include improving network planning analysis and remote monitoring of asset conditions, thereby saving manpower resources in carrying out extensive physical inspections. As the Grid Digital Twin provides a more holistic model of the grid, it can facilitate planning of infrastructure for different needs (such as installation of electric vehicle chargers, and connection of solar photovoltaic systems and energy storage systems). Progressive enhancements to the Grid Digital Twin are in place to make it more accurate and efficient, as SP continues to digitise the existing electricity assets under the network.   In tandem with the Singapore Green Plan 2030, Singapore is looking to greener sources of energy and more diversification of energy supply, such as solar deployments, energy storage systems and vehicle-to-grid technologies. In addition, power grid operations will become more complex with increasing electrification and deployment of more distributed energy resources (DERs). Currently, the national power grid comprises over 18,000 transformers, with more than 27,000 km of underground cables interconnecting over 11,000 substations. The Grid Digital Twin will therefore help to future-proof our power grid, to ensure that it is well-equipped to manage such complexities while maintaining reliability of grid operations.   Mr Ngiam Shih Chun, Chief Executive of EMA, said, “The digital twin for our national power grid will help to enhance the reliability of our electricity supply and support our transition towards greater energy sustainability. With the pressing need to tackle climate change, the power grid needs to evolve to support a more complex power system that will connect to more diverse sources of cleaner energy as well as a growing network to meet rising demand.”   Mr Stanley Huang, Group Chief Executive Officer of SP Group, said, “SP Group works closely with EMA to explore measures to improve Singapore’s grid reliability and resilience. Harnessing the power of digitisation, the Grid Digital Twin enables us to monitor and test different scenarios based on a virtual replica of the grid. We can then effectively test potential upgrades and enhancements, and future-ready innovations such as the projects under the SP Group - NTU Joint Lab to support our ambition to empower the future of energy.”   When completed, the Grid Digital Twin will be a key initiative in contributing towards Singapore’s overall efforts for greater sustainability through enhanced grid network planning and operations.   Annex: Factsheet on the Singapore Power Grid Digital Twin -- End -- About Energy Market Authority The Energy Market Authority (EMA) is a statutory board under the Singapore Ministry of Trade and Industry. Through our work, we seek to forge a progressive energy landscape for sustained growth. We aim to ensure a reliable and secure energy supply, promote effective competition in the energy market and develop a dynamic energy sector in Singapore. Visit www.ema.gov.sg for more information. Instagram: @EMA_Singapore | Facebook: facebook.com/EnergyMarketAuthority | Twitter: @EMA_sg | LinkedIn: linkedin.com/company/energy-market-authority-ema-/ About SP Group SP Group is a leading utilities group in the Asia Pacific, empowering the future of energy with low-carbon, smart energy solutions for its customers. It owns and operates electricity and gas transmission and distribution businesses in Singapore and Australia, and sustainable energy solutions in Singapore and China. As Singapore’s national grid operator, about 1.6 million industrial, commercial and residential customers benefit from its world-class transmission, distribution and market support services. These networks are amongst the most reliable and cost-effective world-wide. Beyond traditional utilities services, SP Group provides a suite of sustainable and renewable energy solutions such as microgrids, cooling and heating systems for business districts and residential townships, solar energy solutions, electric vehicle fast charging and digital energy solutions for customers in Singapore and the region. For more information, please visit spgroup.com.sg or for follow us on Facebook at fb.com/SPGroupSG, on LinkedIn at spgrp.sg/linkedin and on Twitter @SPGroupSG.   ANNEX FACTSHEET ON THE SINGAPORE POWER GRID DIGITAL TWIN A digital twin is a virtual model of physical infrastructure, processes and systems that can carry out various functions such as intelligent data analysis, computer modelling and simulation and machine learning to support users in improving planning and decision-making processes. 2. The digital twin of Singapore’s power grid will comprise two key models: Asset Twin to optimise the planning, operations and maintenance of SP’s grid assets (such as substations, transformers, switchgears and cables). The Asset Twin is able to remotely monitor and analyse the condition and performance of assets and identify potential risks in grid operations early. This allows SP Group (SP) to make informed decisions on renewal and maintenance plans accordingly. The Asset Twin is underpinned by five research projects awarded by the Energy Market Authority (EMA) to SP and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory3   Network Twin for impact assessment on grid. This uses modelling and simulations to determine the impact of additional loads (such as charging of electric vehicles) and distributed energy resources (such as solar photovoltaics and energy storage systems) on the grid. Using an advanced software framework known as the Multi Energy System Modelling & Optimisation (MESMO)4, the Network Twin is able to provide SP with a high-level assessment of the impact of demands on the grid and any upgrades required for different scenarios. The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO).   Key benefits of the Grid Digital Twin are: Enhanced condition monitoring of assets and prioritisation of asset renewal, by having a decision tool that can identify risks and prioritise grid assets renewal plans. The tool will take into account health, utilisation and failure history of the grid assets.   Improvement in carrying out network planning analysis by having a better network utilisation when balancing new or peak electricity loads.   Optimisation of asset investment, by identifying potential synergies between asset renewal and upgrades for load growth without compromising grid resilience.   Grid Digital Twin comprising the Asset Twin and Network Twin (Image Credit: Energy Market Authority) KEY VISUAL FOR ASSET TWIN Overview of Asset Health and Criticality Index for the Distribution Network (Image Credit: SP Group-NTU Joint Laboratory) KEY VISUAL FOR NETWORK TWIN Dashboard for analysing electric vehicle charging impact on the distribution grid using the Network Twin (Image Credit: Institute of High Performance Computing and TUMCREATE) 1 The Asset Twin is underpinned by five research projects awarded by EMA to SP Group and Nanyang Technological University (NTU) under the SP Group - NTU Joint Laboratory. 2 The Network Twin is being developed by the Institute of High Performance Computing (IHPC) at the Agency for Science, Technology and Research (A*STAR), together with its technology partner TUMCREATE Ltd. The project is funded by the Public Sector Science & Technology Policy & Plans Office (S&TPPO). 3 The SP Group - NTU Joint Lab was established between SP Group and NTU in 2020, to explore energy-related projects in the areas of asset management and network operations. 4 MESMO is one of two primary simulation technologies that is used in the Singapore Integrated Transport Energy Model (SITEM) project. More details on SITEM can be found on A*STAR’s website: www.a-star.edu.sg/News-and-Events/a-star-news/news/press-releases/supporting-singapore-s- transition-to-electric-vehicles. Searchhttps://www.spgroup.com.sg/search?tag=digital-twin Search 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 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 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 u

Consumption_Elect Average consumption of Electricity (kWh) Premises Types Jun-21 Jan-22 Feb-22 Mar-22 Apr-22 May-22 Jun-22 Jul-22 Aug-22 Sep-22 Oct-22 Nov-22 Dec-22 Jan-23 Feb-23 Mar-23 Apr-23 May-23 Jun-23 Jul-23 Aug-23 Sep-23 Oct-23 Nov-23 Dec-23 HDB 1-Room 154 137 135 128 140 145 150 139 143 139 132 130 127 125 121 111 127 142 152 147 145 143 146 144 135 HDB 2-Room 204 183 182 169 183 189 199 186 186 184 172 171 165 166 158 148 166 185 202 190 190 189 190 188 176 HDB 3-Room 292 253 253 239 259 268 276 259 264 257 245 245 235 233 226 212 242 270 288 271 272 269 274 269 247 HDB 4-Room 400 351 349 329 354 370 380 356 361 354 333 334 320 318 309 289 326 367 391 371 371 367 374 370 342 HDB 5-Room 465 406 408 382 411 431 445 414 420 416 388 389 373 369 363 338 381 428 456 437 434 427 437 436 401 HDB Executive 574 497 498 470 500 527 543 506 514 504 472 476 448 453 443 414 473 528 561 531 536 528 541 530 478 Apartment 609 497 503 488 533 573 576 527 523 519 498 496 469 450 425 414 465 543 585 546 514 515 537 541 483 Terrace 891 789 811 771 816 873 865 817 833 815 781 785 752 748 727 686 756 867 902 868 866 859 890 881 804 Semi-Detached 1,225 1,078 1,099 1,029 1,090 1,196 1,174 1,092 1,097 1,091 1,030 1,054 995 997 962 930 1,024 1,182 1,233 1,159 1,134 1,150 1,187 1,174 1,065 Bungalow 2,433 2,194 2,141 2,063 2,218 2,365 2,403 2,168 2,144 2,146 2,004 2,182 1,986 2,073 1,938 1,901 2,016 2,303 2,482 2,320 2,219 2,298 2,308 2,358 2,075

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