Sub-seasonal to Seasonal climate forecasting for Energy (S2S4E)

S2S4E was a three-year project conducting research on climate services for clean energy. The consortium included climate research institutions, renewable energy producers, a consulting company and other industrial partners from seven countries across Europe. In the project, an operational Decision Support Tool (S2S4E DST) was co-developed together with stakeholders from the energy sector. The S2S4E DST provided sub-seasonal to seasonal climate predictions for renewable energy production and electricity demand, demonstrating how these forecasts can help energy companies plan their operations and prepare for climate variability and extreme weather events. This enhances their climate change adaptation capacities and supports the integration of a larger share of renewables into the energy mix, contributing to climate change mitigation.

The tool integrated sub-seasonal climate predictions of up to 4 weeks with seasonal climate predictions of up to 3 months. Sub-seasonal and seasonal climate data were post-processed to improve their reliability and to produce energy indicators useful for the renewable energy sector. The forecasts available in the DST include temperature, rain, wind speed and solar radiation; they are also used to produce forecasts of energy indicators, such as energy demand due to intensive use of air conditioning systems for cooling during a heatwave.

The tool is no longer fully operational since the project’s end in 2020 but stored forecasts for 2020 are still accessible. According to the tool’s website, the Project partner Nnergix maintains an operational commercial version of the tool, accessible upon request.

ECCA 2021 - Climate Adaptation solutions video - S2S4E