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The report proposes a cost-optimal energy pathway for Thailand that exceeds the Revised Power Development Plan (RPDP) targets by adding 32 GW of solar and 6 GW/15 GWh of battery storage by 2037. This shift would result in cumulative cost savings of $1.8 billion and avoid 147 million tonnes of CO2 emissions. The analysis suggests that Thailand can meet its demand without adding 2 GW of planned natural gas capacity, as solar and batteries can cover growth from data centres and EV charging. While wind power is deemed financially unviable unless capital expenditures drop by 10% annually, the report suggests importing hydropower from Lao PDR as a cost-effective alternative to wind, despite risks related to import dependency and climate-driven droughts.

The report proposes a cost-optimal energy pathway for Thailand through 2037, suggesting that increasing solar capacity by 89% and battery storage by 60% relative to the draft revised power development plan (RPDP) 2024 can save $1.8 billion in power generation costs. This pathway aims to meet rising electricity demand from data centres (projected 10 TWh increase) and electric vehicles (projected 3.3 GW peak load increase) while reducing natural gas imports by 1,815 billion cubic feet. The analysis finds that wind energy is not financially viable without a 10% annual CAPEX reduction, suggesting imported hydropower from Lao PDR as a more cost-effective alternative.

The report argues that Central and Eastern European (CEE) countries can significantly lower wholesale power prices and enhance energy security by accelerating the deployment of wind and solar energy. By targeting 200 GW of capacity by 2030, the region could reach a 63% share of renewables in electricity generation. The analysis emphasizes that cross-country collaboration is essential to unlock over 100 GW of offshore wind potential and that aligning national strategies with EU policy could unlock approximately €137 billion in public funding.

The report demonstrates that Europe can achieve a 94-96% clean power system by 2035 at no extra cost compared to stated policies, provided wind and solar deployment quadruples. This transition would enable wider electrification, potentially halving fossil fuel consumption by 2030 and saving between €530 billion and €1 trillion by 2035. Key requirements include expanding interconnection, deploying electrolysers for green hydrogen, and phasing out coal by 2030 and unabated baseload gas after 2025.

The report argues that a coal-free Czechia by 2030 is feasible through a least-cost pathway focused on rapid expansion of wind and solar power, supplemented by flexible gas generation and large-scale heat pumps. It estimates that this transition would reduce power sector emissions by 85% and create approximately 45,000 direct jobs, while requiring €11bn in power sector capital investment.

The document investigates how Karnataka can manage its increasing flexibility needs—driven by high solar and wind capacity—through a portfolio of demand-side measures, energy storage, and powerplant operational changes. It argues that a balanced portfolio of these options can reduce system costs by up to 10% and carbon emissions by up to 35% by 2030, potentially making new coal capacity redundant. Key recommendations include amending grid codes to allow cost recovery for flexible thermal operations, completing agricultural feeder separation, and developing a 'data mission' to support locational pricing and market design.

The report finds that implementing a portfolio of flexibility resources and market reforms could reduce electricity costs by up to 13% and carbon emissions by up to 17% in Tamil Nadu. Key opportunities include leveraging electric vehicle charging, agricultural pumping, and retrofitting coal plants to operate at lower technical minimums. The study emphasizes that while demand flexibility is often the lowest cost, a combined approach with storage and powerplant flexibility provides the highest system reliability and carbon benefits. Integration into a wider India-wide market could further reduce system costs by an additional 6%.