Energy system optimization modeling is the creation of mathematical models representing various components of an energy system, including energy sources, conversion technologies, transmission, distribution, and end-use sectors. It is a powerful tool that supports policymakers, grid operators, and planners in designing optimal strategies for meeting energy demands while minimizing costs and environmental impacts. This tool is crucial for the development and modernization of Thailand’s power system and the achievement of carbon neutrality.
Organized by Hub Net Zero and JGSEE/KMUTT, in collaboration with Agora Energiewende and supported by Thai-German Cooperation on Energy, Mobility, and Climate Change (TGC EMC)*, this webinar aims to introduce participants to PyPSA (Python for Power System Analysis) – an open-source Python toolbox for advanced energy system modeling. During the session, speakers from Germany and Thailand will provide an overview of PyPSA’s modeling capabilities, a case study and a comparison with other well-known energy system modeling tools.
*TGC EMC is funded by International Climate Initiative (IKI) under Germany Federal Ministry of Economic Affairs and Climate Action (BMWK) to empower Thai key actors in planning and implementing transformative activities in energy, transport, and industry sectors in line with the Government’s 2050 carbon neutrality objective.
