🎉 We’re very excited to see findings from our report on the impacts of 24/7 CFE in Taiwan covered by major publications including TVBS, United Daily News, Central News Agency and Chinese Television System. ⭐ https://t.co/Nc7bcM6eWw 👉🏻 Read the report https://t.co/8vY2LPZ7NF

@IEA @SEforALLorg Join our next 24/7 CFE Webinar, focusing on the findings from our latest report on Malaysia, by signing up here:

Did you join our webinar discussing our report modelling Singapore's path to 24/7 Carbon-Free Electricity (CFE)? @IEA @SEforALLorg 🎞️ Missed the session? Watch the replay here: https://t.co/13OMFh865g

As promised, we’re adding two more countries to Scenario Builder: 🇻🇳 Vietnam: a market full of surprises and ever-rising decarbonisation ambitions. 🇹🇭 Thailand: at a pivotal moment to redefine the role of natural gas. Access Scenario Builder here 👉🏻 https://t.co/lMOZWYLJVL

Explore the complete findings, interactive maps, and technical methodology 👉🏻  https://t.co/pQdVXMfy4p

Explore the complete findings, interactive maps, and technical methodology at 👉🏻  https://t.co/pQdVXMfy4p

4️⃣ Our estimates of distributed solar in Pakistan can be viewed at the national, regional, or sectoral level — or mapped by hexagonal cells in detailed visualisations.

3️⃣ We then used building and land-cover data to link solar patterns to building size and agricultural land. These relationships let us extrapolate the amount of solar found in our image samples to a total capacity across Pakistan — from city rooftops to rural fields

2️⃣ Using a mix of machine learning and manual checks, we identified and labelled every rooftop and ground-mounted installation visible in our set of sample images — which amounted to more than 27,000 solar sites.

1️⃣ We divided Pakistan into thousands of small hexagonal cells, then selected around 1,000 representative locations. Each one was covered by highly-detailed satellite images that can capture features as small as 30 centimetres across, covering both urban and rural areas.

📈 Pakistan has emerged as one of the world’s fastest-growing solar markets, but comprehensive data on actual installations remains limited.‌ TransitionZero needed a fast, scalable way to see how solar is really spreading. This is what we did…

⚡ We’re partnering with @Googleorg to make clean energy planning faster, smarter, and more accessible across Asia. Read more here 👉 https://t.co/NfKzS0mFz1

TransitionZero is proud to partner with @GreenGrids to accelerate the delivery of grid infrastructure that enables countries to meet their climate commitments. Read all the details here 👉🏻 https://t.co/1vmuU9zaAu @Tiberius42

Reaching 80% CFE would also result in deep emissions cuts for the Taiwanese power system — 5MtCO2e per year, while requiring less overall capacity than annual matching, thanks to its reliance on geothermal for firm, clean supply.

The results are clear: if 5% of Taiwan’s grid electricity demand adopted 80% CFE, prioritising maximising cheaper onshore wind, solar and geothermal before turning to more expensive technologies, it would translate into system-wide savings of roughly US$1 billion per year.

To find out, we developed a 1-node model of Taiwan’s 2030 power system using the open-source Python for Power System Analysis (PyPSA) package, with hourly resolution.

Using a detailed, open-source model, we examined how 24/7 carbon-free energy could affect grid planners and corporate buyers. Specifically, what would it mean if 5% of commercial and industrial demand was met with 24/7 CFE by 2030?

Our analysis shows strong benefits for commercial and industrial Taiwanese consumers to move toward hourly-matched 24/7 carbon-free energy (CFE) can support Taiwan’s decarbonisation goals.

🇹🇼 In 2024, the Taiwanese government raised its 2030 emissions reduction target from 24% to 28% below 2005 levels. The country faces both opportunities and obstacles in shifting to a grid powered by low-cost, variable renewable energy.

🇹🇼 In 2024, the Taiwanese government raised its 2030 emissions reduction target from 24% to 28% below 2005 levels. The country faces both opportunities and obstacles in shifting to a grid powered by low-cost, variable renewable energy.