National scale electricity sector model to strategize national clean energy transition

This study develops an open-source model adapted from Python for Power System Analysis (PyPSA), to analyze transition pathways through 2030 and 2050, validated against 2019 national data for Thailand's fossil fuel-dominated power sector. Utilizing 30 km × 30 km resource potential, hourly demand data, national policies, and energy strategies, PyPSA-TH (Thailand) evaluates ten scenarios. Pledged and higher ambition scenarios integrate supply-side renewable energy expansion with demand-side energy efficiency, flexibility, and regional hydro imports. In 100% clean energy scenarios (2050), model results project an installed capacity of 369.71 GW (7.4-fold higher than 2019), primarily driven by solar (132.74 GW), wind (76.10 GW), and battery storage (83.44 GW), generating 523.5 TWh. 100% clean energy supply combined with energy efficiency and demand-side flexibility scenario indicates a need for an installed capacity of 207.10 GW, where solar drives the key share (56.82 GW), followed by wind (48.14 GW) and battery storage (25.61 GW). Combining supply- and demand-side measures reduces power generation costs to €0.065/kWh, from €0.070/kWh with supply-side interventions alone. Demand-side strategies lower land requirements to 3152.64 km 2 (0.61% of Thailand's land) from 5612.87 km 2 (1.09%) compared to supply-side-only measures and investment needs for capacity expansion rises by 48%, generating 9.43 million new jobs, 1.33 times more than supply-side-only pathways. The emission pathway associated with supply-plus demand-side strategies provides clear near-term benefits compared to supply-side-only planning strategies. PyPSA-TH's transparent and reproducible framework is useful in deriving policy guidelines, including green financing and land-use management, to achieve a sustainable energy future for Thailand and similar developing nations. • Modeled Thailand's power sector transition towards 100 % clean energy by 2050. • Supply-side-only led transition needs 369.71 GW, led by solar, wind, and storage. • Demand-side measures cut capacity need to 207.10 GW needs less financial mobilization. • Combining supply and demand cuts generation costs to €0.065/kWh and reduces land use. • Demand-side measures cut 48 % investment & boost 1.33-fold jobs over supply-side-only.

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Publication Details

Journal
Energy Strategy Reviews
Published
2025-09-01
DOI
https://doi.org/10.1016/j.esr.2025.101868
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

National scale electricity sector model to strategize national clean energy transition

Joyashree Roy, Firuz Ahamed Nahid, Weerakorn Ongsakul
Energy Strategy Reviews
Integrated Energy Systems Optimization
article

National scale electricity sector model to strategize national clean energy transition

Joyashree Roy, Firuz Ahamed Nahid, Weerakorn Ongsakul
article en

Abstract

This study develops an open-source model adapted from Python for Power System Analysis (PyPSA), to analyze transition pathways through 2030 and 2050, validated against 2019 national data for Thailand's fossil fuel-dominated power sector. Utilizing 30 km × 30 km resource potential, hourly demand data, national policies, and energy strategies, PyPSA-TH (Thailand) evaluates ten scenarios. Pledged and higher ambition scenarios integrate supply-side renewable energy expansion with demand-side energy efficiency, flexibility, and regional hydro imports. In 100% clean energy scenarios (2050), model results project an installed capacity of 369.71 GW (7.4-fold higher than 2019), primarily driven by solar (132.74 GW), wind (76.10 GW), and battery storage (83.44 GW), generating 523.5 TWh. 100% clean energy supply combined with energy efficiency and demand-side flexibility scenario indicates a need for an installed capacity of 207.10 GW, where solar drives the key share (56.82 GW), followed by wind (48.14 GW) and battery storage (25.61 GW). Combining supply- and demand-side measures reduces power generation costs to €0.065/kWh, from €0.070/kWh with supply-side interventions alone. Demand-side strategies lower land requirements to 3152.64 km 2 (0.61% of Thailand's land) from 5612.87 km 2 (1.09%) compared to supply-side-only measures and investment needs for capacity expansion rises by 48%, generating 9.43 million new jobs, 1.33 times more than supply-side-only pathways. The emission pathway associated with supply-plus demand-side strategies provides clear near-term benefits compared to supply-side-only planning strategies. PyPSA-TH's transparent and reproducible framework is useful in deriving policy guidelines, including green financing and land-use management, to achieve a sustainable energy future for Thailand and similar developing nations. • Modeled Thailand's power sector transition towards 100 % clean energy by 2050. • Supply-side-only led transition needs 369.71 GW, led by solar, wind, and storage. • Demand-side measures cut capacity need to 207.10 GW needs less financial mobilization. • Combining supply and demand cuts generation costs to €0.065/kWh and reduces land use. • Demand-side measures cut 48 % investment & boost 1.33-fold jobs over supply-side-only.

Energy Strategy ReviewsVol. 61
Asian Institute of Technology (TH), International University of Business Agriculture and Technology (BD)
Openalex Percentile: Top 77%
Integrated Energy Systems Optimization
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