- genre: lightning talk
- title: ESOPUS-data: More than a century of time series for power system analysis
- presenter: @eantonini
- description: Deeply decarbonized power systems often rely on large shares of variable renewable energy and electrification of end-use consumption, such as heating, which make them highly dependent on weather variability and climate change. Weather exhibits fluctuations on temporal scales ranging from sub-hourly to yearly while climate variations occur on decadal scales. To investigate the intricate interplay between weather patterns, climate variations, and power systems, here we present a framework to generate time series of wind power generation, solar power generation, hydropower generation, heating demand, and cooling demand. The framework can generate time series at high temporal resolution for any country and for any period between 1940 and 2100. Our framework serves as a tool for understanding and addressing the challenges posed by the evolving energy landscape in the face of climate change.