{"query_echo":{"q":"","filters":{"analysis_type":["energy modelling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'energy modelling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=energy+modelling","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-002817","url":"https://climateinsightsdirectory.org/document/sei-002817","title":"UA-GRIDEX Project Report: Promoting Resilience and Uninterrupted Access to Essential Municipal Services in Ukraine through Exploring the Potential of Renewable Energy Solutions for a Municipal Water Station","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2025-08","source_url":"https://www.sei.org/wp-content/uploads/2025/11/ua-gridex-anonymised-project-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates renewable energy options for a municipal water station in Ukraine serving 400,000 residents. It compares 100% decentralised systems (PV+Battery vs. Wind+Battery) and feasible grid-connected hybrid systems, finding that while wind is more cost-effective, solar PV is the only viable on-site installation due to space constraints. For heating, water-to-water heat pumps are identified as the optimal solution. The report also maps international financing opportunities from institutions like the EBRD, EIB, and World Bank to support implementation.","ai_generated":true,"unit":"sei-002817#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A comparison of 100% decentralised renewable energy solutions shows that a wind + battery system is significantly more cost-effective than a solar PV + battery system, with a total lifetime cost of €46.2 million and an LCOE of 0.131 €/kWh, compared to €146 million and 0.412 €/kWh for the solar option.","ai_generated":true,"unit":"sei-002817#insight-1","date_modified":"2026-10-23"},{"text":"On-site installation of utility-scale wind turbines is physically unfeasible due to the facility's limited available area of 8,712 m²; a single 2 MW wind turbine would require approximately 170,100 square meters.","ai_generated":true,"unit":"sei-002817#insight-2","date_modified":"2026-10-23"},{"text":"Among the evaluated heating technologies, the water-to-water heat pump (WWHP) is the most efficient and economical choice, featuring the highest coefficient of performance (COP) of 5.515 and the lowest total annual cost of €290,011.","ai_generated":true,"unit":"sei-002817#insight-3","date_modified":"2026-10-23"},{"text":"Integrating solar PV to power the heating system further reinforces the WWHP as the optimal choice, with a total joint system cost of €850,936, which is lower than the costs for air-to-water (€1,112,880) or air-to-air (€1,219,604) configurations.","ai_generated":true,"unit":"sei-002817#insight-4","date_modified":"2026-10-23"},{"text":"The report identifies several feasible grid-connected hybrid solutions; a Solar PV + Grid configuration has an LCOE of €0.113/kWh and relies on the grid for 90.6% of its energy, while adding a battery (Solar PV + Battery + Grid) results in an LCOE of €0.114/kWh.","ai_generated":true,"unit":"sei-002817#insight-5","date_modified":"2026-10-23"},{"text":"The facility's energy resilience is currently limited by legal restrictions that prohibit the export of excess renewable electricity to the grid, leading to significant unused energy in the modelled 100% renewable scenarios (40.5 GWh for PV and 37.4 GWh for wind).","ai_generated":true,"unit":"sei-002817#insight-6","date_modified":"2026-10-23"},{"text":"The estimated cost for a solar power solution at the water station is between €2.5 and 3.5 million, and the report recommends a blended financing model combining loans, grants, and technical assistance.","ai_generated":true,"unit":"sei-002817#insight-7","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","photovoltaics","wind power","battery energy storage system","heat pump","Resilience (power system)","distributed generation","energy efficiency","climate finance","energy transition"],"geography_discussed":["Estonia","Sweden"],"frame_perspective":[],"analysis_type":["techno-economic analysis","energy modelling","financial mapping"]},{"id":"seforall-000156","url":"https://climateinsightsdirectory.org/document/seforall-000156","title":"Nigeria Energy Transition & Investment Plan Update","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":"2024-11","source_url":"https://www.seforall.org/system/files/2025-05/Nigeria-ETIP-u.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Nigeria Energy Transition & Investment Plan Update (ETIP 2.0) outlines a pathway to net-zero emissions by 2060, requiring a total installed power capacity of 277 GW and an additional capital investment of approximately $500 billion USD above business-as-usual levels. The plan emphasizes a massive shift toward solar PV, which is projected to reach 209 GW by 2050, and the phasing out of diesel decentralized generators by 2030. In the transport sector, the plan envisions a transition where electric vehicles make up at least 80% of the fleet by 2050, while the cooking sector aims for universal access by 2030, eventually transitioning to e-cooking. Despite the high upfront costs, the transition is projected to result in fuel savings of $686 billion USD. Key barriers identified include high initial costs for EVs and e-cooking, unreliable grid supply, and a skills gap in green technologies.","ai_generated":true,"unit":"seforall-000156#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Achieving net-zero emissions by 2060 will require a capital investment of approximately $500 billion USD above business-as-usual (BAU) levels, though this is offset by projected fuel savings of $686 billion USD.","ai_generated":true,"unit":"seforall-000156#insight-1","date_modified":"2026-10-23"},{"text":"The power sector requires a total installed capacity of 277 GW by 2060, with a significant shift toward renewables; solar PV is expected to reach 209 GW by 2050 and hydropower 11 GW by 2060.","ai_generated":true,"unit":"seforall-000156#insight-2","date_modified":"2026-10-23"},{"text":"Nigeria aims for universal electricity access by 2030, requiring a nominal investment of $25.8 billion to reach an additional 106 million people and 19.3 million residential households.","ai_generated":true,"unit":"seforall-000156#insight-3","date_modified":"2026-10-23"},{"text":"The transport sector is projected to transition heavily to electric vehicles (EVs), with EVs expected to constitute at least 80% of the fleet by 2050 and nearly all cars being electric by 2060.","ai_generated":true,"unit":"seforall-000156#insight-4","date_modified":"2026-10-23"},{"text":"Hydrogen is identified as a critical future energy source, with production reaching 404 PJ by 2060, including 228 PJ of green hydrogen and 176 PJ of blue hydrogen.","ai_generated":true,"unit":"seforall-000156#insight-5","date_modified":"2026-10-23"},{"text":"The cooking sector targets universal access by 2030, with a planned phase-out of traditional biomass by 2030 and LPG by the early 2050s in favor of e-cooking.","ai_generated":true,"unit":"seforall-000156#insight-6","date_modified":"2026-10-23"},{"text":"Industrial decarbonization will rely on late-stage technology adoption, with biomass CCS for cement and hydrogen DRI for steel production becoming dominant after 2050.","ai_generated":true,"unit":"seforall-000156#insight-7","date_modified":"2026-10-23"},{"text":"The transition is expected to have a net positive impact on employment, creating 840,000 incremental full-time equivalent jobs by 2050, despite a potential loss of 110,000 low-qualified jobs in the oil and gas sector.","ai_generated":true,"unit":"seforall-000156#insight-8","date_modified":"2026-10-23"}],"climate_tags":["carbon neutrality","energy transition","photovoltaics","hydropower","green hydrogen","blue hydrogen","electric vehicle","carbon capture and storage","bio-energy with carbon capture and storage","energy access","climate finance","just transition"],"geography_discussed":["Lagos","Abuja","Ibadan","Enugu State","Ghana","Kenya"],"frame_perspective":[],"analysis_type":["investment analysis","energy modelling","policy assessment"]},{"id":"ember-000437","url":"https://climateinsightsdirectory.org/document/ember-000437","title":"Uttar Pradesh: A State Critical for India’s Energy Transition","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2021-12","source_url":"https://ember-energy.org/app/uploads/2024/09/Uttar-Pradesh_A-State-Critical-for-Indias-Energy-Transition_December-2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Uttar Pradesh is lagging behind other high-demand Indian states in renewable energy adoption, with only 30% of its 2022 capacity target achieved by October 2021. The state remains heavily dependent on coal, which accounts for approximately 90% of in-state generation, leaving it vulnerable to supply chain disruptions and high costs. IEEFA modelling suggests that if the state meets its 2030 target of 23.5GW of solar, solar power could meet the majority of future electricity demand growth. However, progress is hindered by the financial instability of state-owned distribution companies (Discoms), characterized by high AT&C losses and expensive long-term thermal power purchase agreements. The report recommends retiring old coal plants, expanding distributed solar, and utilizing open market platforms to improve the financial viability of the electricity sector.","ai_generated":true,"unit":"ember-000437#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of October 2021, Uttar Pradesh had achieved only 30% of its 14.1GW renewable energy capacity commissioning target for 2022, the lowest performance among the top six power demand states in India.","ai_generated":true,"unit":"ember-000437#insight-1","date_modified":"2026-10-23"},{"text":"The state's electricity sector is dominated by coal, which provides about 90% of in-state generation. This reliance creates vulnerability to external supply shocks, as seen in October 2021 when coal shortages forced the state to buy emergency power at Rs22/kWh.","ai_generated":true,"unit":"ember-000437#insight-2","date_modified":"2026-10-23"},{"text":"If Uttar Pradesh achieves its 2030 target of 23.5GW of solar capacity, solar power is estimated to provide approximately 88% of the state's electricity production growth (about 47 TWh) by FY2029/30.","ai_generated":true,"unit":"ember-000437#insight-3","date_modified":"2026-10-23"},{"text":"The financial health of Uttar Pradesh's distribution companies (Discoms) is severely impacted by high aggregate technical and commercial (AT&C) losses, which reached 37% in FY2020/21.","ai_generated":true,"unit":"ember-000437#insight-4","date_modified":"2026-10-23"},{"text":"The state's progress in solar energy is being undermined by the cancellation of previously awarded power purchase agreements (PPAs) by the Uttar Pradesh New and Renewable Energy Development Agency (UPNEDA) in an attempt to secure lower tariffs.","ai_generated":true,"unit":"ember-000437#insight-5","date_modified":"2026-10-23"},{"text":"The average cost of power from coal plants in Uttar Pradesh (Rs4.5/kWh) is significantly higher than current solar tariffs, which are below Rs2.5/kWh.","ai_generated":true,"unit":"ember-000437#insight-6","date_modified":"2026-10-23"}],"climate_tags":["solar energy","coal-fired power station","power purchase agreement","energy efficiency","distributed solar photovoltaics"],"geography_discussed":["India","Gujarat","Rajasthan","Tamil Nadu","Maharashtra","Madhya Pradesh","Jharkhand","Bihar","Odisha"],"frame_perspective":[],"analysis_type":["policy assessment","financial analysis","energy modelling"]},{"id":"sei-002150","url":"https://climateinsightsdirectory.org/document/sei-002150","title":"The 6th ASEAN Energy Outlook 2017-2040","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2020","source_url":"https://cdn.leap.sei.org/documents/AEO6.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 6th ASEAN Energy Outlook (AEO6) projects that ASEAN's energy demand will grow significantly by 2040, driven by GDP and population growth. While the region currently relies heavily on fossil fuels, the report models four scenarios—Baseline, AMS Targets (ATS), APAEC Targets (APS), and Sustainable Development Goals (SDG)—to evaluate the impact of national and regional policies. The APS is the only scenario that meets the APAEC target of a 23% renewable energy share in total primary energy supply (TPES) by 2025. Key findings highlight the potential for solar PV growth, the necessity of improving air conditioner efficiency, the role of biofuels in transport, and the importance of the ASEAN Power Grid for regional integration. The report also emphasizes the social and environmental costs of continued fossil fuel reliance, noting that ambitious policies could sharply reduce GHG emissions and social costs.","ai_generated":true,"unit":"sei-002150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In the Baseline Scenario, ASEAN's total primary energy supply (TPES) is projected to grow by 154% between 2017 and 2040, reaching 1,589 Mtoe, with fossil fuels accounting for 83.8% of the mix by 2040.","ai_generated":true,"unit":"sei-002150#insight-1","date_modified":"2026-10-23"},{"text":"The APAEC Targets Scenario (APS) is the only model that achieves the regional goal of 23% renewable energy in TPES by 2025, with the share continuing to grow to 28.7% by 2040.","ai_generated":true,"unit":"sei-002150#insight-2","date_modified":"2026-10-23"},{"text":"To meet the 2025 APAEC target, ASEAN must aggressively expand solar PV capacity from 32 GW in 2020 to 83 GW by 2025.","ai_generated":true,"unit":"sei-002150#insight-3","date_modified":"2026-10-23"},{"text":"The APS scenario projects a 32.5% reduction in energy intensity by 2025 and nearly 50% by 2040, compared to a 23.3% reduction in the Baseline Scenario by 2025.","ai_generated":true,"unit":"sei-002150#insight-4","date_modified":"2026-10-23"},{"text":"Energy-related GHG emissions in the Baseline Scenario are projected to reach 4,171 Mt CO2-eq by 2040, whereas the APS reduces this to 2,264 Mt CO2-eq.","ai_generated":true,"unit":"sei-002150#insight-5","date_modified":"2026-10-23"},{"text":"The social cost of energy is projected to be USD 1,558 billion by 2040 in the Baseline Scenario, but could be reduced to USD 766 billion under the APS targets.","ai_generated":true,"unit":"sei-002150#insight-6","date_modified":"2026-10-23"},{"text":"The ASEAN Power Grid (APG) can enhance energy security and RE integration; 7 of 16 key interconnection projects were completed by 2019, bringing cross-border capacity to 2,275 MW.","ai_generated":true,"unit":"sei-002150#insight-7","date_modified":"2026-10-23"},{"text":"Air conditioning (AC) ownership is projected to rise to 42% of ASEAN households by 2040, with Indonesia expected to be the largest consumer of electricity for AC.","ai_generated":true,"unit":"sei-002150#insight-8","date_modified":"2026-10-23"},{"text":"Biofuel use could rise from 5 Mtoe in 2017 to 101 Mtoe by 2040 in the APS, significantly reducing oil import dependency in the transport sector.","ai_generated":true,"unit":"sei-002150#insight-9","date_modified":"2026-10-23"},{"text":"As of 2017, approximately 60 million households (240 million people) in ASEAN relied on traditional biomass or kerosene for cooking, leading to an estimated 345,000 premature deaths in 2016 due to household air pollution.","ai_generated":true,"unit":"sei-002150#insight-10","date_modified":"2026-10-23"},{"text":"Power sector investment requirements from 2018 to 2025 are USD 281 billion in the Baseline Scenario, rising to USD 367 billion in the APS due to the higher cost of cleaner technologies.","ai_generated":true,"unit":"sei-002150#insight-11","date_modified":"2026-10-23"},{"text":"The APS scenario could create 303,000 solar and wind jobs by 2040, compared to approximately 174,000 jobs in the Baseline or ATS scenarios.","ai_generated":true,"unit":"sei-002150#insight-12","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","energy efficiency","greenhouse gas emissions","photovoltaics","wind power","hydropower","biofuel","biomass","electric vehicle","carbon capture and storage","clean cooking","energy security","Paris Agreement","Nationally Determined Contributions"],"geography_discussed":["Brunei","Cambodia","Indonesia","Laos","Malaysia","Myanmar","Philippines","Singapore","Thailand","Vietnam","Norway","People's Republic of China","United States"],"frame_perspective":[],"analysis_type":["scenario analysis","energy modelling","socio-economic analysis"]},{"id":"iisd-001331","url":"https://climateinsightsdirectory.org/document/iisd-001331","title":"Towards Assessing the Distributional Impacts of Meeting Kyoto Targets in Canada","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"en","date_published":"2003","source_url":"https://www.iisd.org/system/files/publications/energy_markal_equity.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research develops MARKAL-Equity to assess how different income terciles in Canada respond to the energy price increases associated with meeting Kyoto targets. Findings indicate that low-income households are the most vulnerable, experiencing the greatest reductions in energy service demand and consumption, and lacking the financial capacity to switch to more efficient technologies compared to middle- and high-income groups.","ai_generated":true,"unit":"iisd-001331#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Low-income households in Canada spend a significantly larger portion of their budget on energy than high-income households; specifically, the percentage of total expenditure spent on energy by low-income households is four times greater than that of high-income households.","ai_generated":true,"unit":"iisd-001331#insight-1","date_modified":"2026-10-23"},{"text":"Low-income households are more sensitive to energy price changes than higher-income groups, being twice as responsive to price changes affecting space heating as high-income households.","ai_generated":true,"unit":"iisd-001331#insight-2","date_modified":"2026-10-23"},{"text":"Under the Kyoto target scenario, the residential sector's total emissions are projected to decrease by 28 Mt, or 77 per cent, by 2020.","ai_generated":true,"unit":"iisd-001331#insight-3","date_modified":"2026-10-23"},{"text":"Income differentiation reveals that the burden of meeting Kyoto targets is not evenly distributed; the low-income group experiences a greater loss in demand for energy services (up to 16% for space heating in old apartments in British Columbia) compared to the high-income group (up to 10%).","ai_generated":true,"unit":"iisd-001331#insight-4","date_modified":"2026-10-23"},{"text":"Low-income households are unable to fundamentally change their fuel consumption patterns or technology choices in response to carbon constraints, unlike other income groups who switch to more efficient options.","ai_generated":true,"unit":"iisd-001331#insight-5","date_modified":"2026-10-23"},{"text":"The middle-income group tends to adopt less efficient technologies, specifically wood stoves, which results in a slight increase in their overall energy consumption by 2020 despite a reduction in their demand for energy services.","ai_generated":true,"unit":"iisd-001331#insight-6","date_modified":"2026-10-23"},{"text":"High-income households are the most responsive in changing technologies to adapt to carbon constraints, showing a clear preference for electric space heating.","ai_generated":true,"unit":"iisd-001331#insight-7","date_modified":"2026-10-23"},{"text":"Solar space heating emerges as a technology under carbon constraints, but the model indicates it is primarily adopted by the low-income group in the simulation, highlighting a need for budget constraints in the model to reflect actual buying power.","ai_generated":true,"unit":"iisd-001331#insight-8","date_modified":"2026-10-23"},{"text":"By 2020, the low-income group faces the most severe reduction in total residential energy consumption, decreasing by 13 per cent, while the middle-income group sees the smallest reduction at 4 per cent.","ai_generated":true,"unit":"iisd-001331#insight-9","date_modified":"2026-10-23"},{"text":"The study recommends transitional policies specifically targeted at low-income households, such as financial assistance to purchase more efficient space heating technologies, to mitigate the impact of increased energy prices.","ai_generated":true,"unit":"iisd-001331#insight-10","date_modified":"2026-10-23"}],"climate_tags":["Kyoto Protocol","greenhouse gas emissions","energy efficiency","energy price","climate policy","energy modeling"],"geography_discussed":["British Columbia","Quebec","Ontario","Manitoba","Saskatchewan","Alberta","Atlantic Canada"],"frame_perspective":[],"analysis_type":["distributional analysis","energy modelling","policy assessment"]},{"id":"sei-001209","url":"https://climateinsightsdirectory.org/document/sei-001209","title":"An Energy Sector Roadmap to Net zero Emissions for Lao PDR","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://leap.sei.org/documents/ACCEPTIILao2025.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report outlines a pathway for Lao PDR to reach net zero emissions by 2050, utilizing LEAP and NEMO modelling to compare a Baseline Scenario with a transformative Net Zero Scenario. Key findings highlight the necessity of diversifying the energy mix beyond hydropower, electrifying transport and cooking, and implementing carbon removal technologies. The analysis emphasizes that while hydropower remains dominant, the country must scale up solar, wind, and biomass to ensure resilience against climate-induced droughts. Achieving the target requires significant infrastructure upgrades, including grid modernization and the deployment of direct air capture (DAC) to offset residual industrial and agricultural emissions. The report also addresses critical economic challenges, such as high public debt and currency depreciation, and recommends strengthening regional cooperation through the ASEAN Power Grid and the APAEC framework.","ai_generated":true,"unit":"sei-001209#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Lao PDR's energy sector is heavily reliant on hydropower, which is vulnerable to climate variability, specifically drought-induced water shortages that threaten energy security and export revenues.","ai_generated":true,"unit":"sei-001209#insight-1","date_modified":"2026-10-23"},{"text":"Under the Net Zero Scenario, electricity generation capacity must grow significantly, reaching nearly 30 GW by 2030, compared to 18 GW in the Baseline Scenario, to support increased demand, hydrogen production, and direct air capture (DAC).","ai_generated":true,"unit":"sei-001209#insight-2","date_modified":"2026-10-23"},{"text":"The industrial sector is projected to become the largest energy consumer by 2050, surpassing transport, commercial, and residential sectors.","ai_generated":true,"unit":"sei-001209#insight-3","date_modified":"2026-10-23"},{"text":"Direct air capture (DAC) will play a critical role in the final years of the transition, accounting for almost 40% of final electricity demands across all sectors by 2050.","ai_generated":true,"unit":"sei-001209#insight-4","date_modified":"2026-10-23"},{"text":"To achieve net zero by 2050, Lao PDR must be capable of securely storing over 6 million tonnes of CO2 annually to offset residual emissions from industrial processes, waste, and transport.","ai_generated":true,"unit":"sei-001209#insight-5","date_modified":"2026-10-23"},{"text":"The residential sector requires a dramatic shift away from traditional biomass; the Net Zero Scenario targets universal access to clean cooking technologies by 2030.","ai_generated":true,"unit":"sei-001209#insight-6","date_modified":"2026-10-23"},{"text":"Road transport is expected to be the second-largest energy consumer, requiring a transition to electric vehicles (EVs), biofuels, and hydrogen to reduce emissions.","ai_generated":true,"unit":"sei-001209#insight-7","date_modified":"2026-10-23"},{"text":"Lao PDR faces severe macroeconomic constraints, including high external debt service (increasing from 27% to 43% of government revenue) and high inflation, which average 25.3% in 2024, limiting the fiscal space for clean energy investments.","ai_generated":true,"unit":"sei-001209#insight-8","date_modified":"2026-10-23"},{"text":"The country's economic stability is heavily dependent on China, which was the largest trading partner in 2022, with exports of raw materials valued at USD 2.73 billion and imports of machinery and electronics at USD 2.1 billion.","ai_generated":true,"unit":"sei-001209#insight-9","date_modified":"2026-10-23"},{"text":"Regional cooperation via the ASEAN Power Grid and the Lao PDR-Thailand-Malaysia-Singapore Power Integration Project (LTMS-PIP) is essential for diversifying the energy mix and securing economic resilience.","ai_generated":true,"unit":"sei-001209#insight-10","date_modified":"2026-10-23"}],"climate_tags":["carbon neutrality","hydropower","solar energy","wind power","bioenergy","energy efficiency","electric vehicle","green hydrogen","carbon capture and storage","direct air capture","bio-energy with carbon capture and storage","energy storage","Sustainable Aviation Fuel","renewable natural gas","biodiesel","climate finance","Nationally Determined Contributions"],"geography_discussed":["ASEAN","Thailand","People's Republic of China","Vietnam","Cambodia","Myanmar","Malaysia","Singapore"],"frame_perspective":[],"analysis_type":["energy modelling","scenario analysis","policy roadmap"]}]}