S2S4E was a three-year project that finished in December 2020. A full overview of the project results can be found in the project website: www.s2s4e.eu. Some of the key achievements are listed below for five key aspects of the project:
Climate science advances:
The project has built methodologies and tools to analyse climate variability in the past and assess its impact on the energy sector. Initial efforts were focused on defining and analysing eight case studies for key periods in the past during which S2S predictions could have helped energy users to anticipate and react to extreme events. This knowledge helped prepare the methodologies and workflows to improve S2S climate predictions for energy and the integration of these predictions in an operational environment. A key exploitable result is the contribution to the R-package CSTools that provides process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products.
Operationalisation of climate services:
S2S4E aimed to demonstrate and learn from the operationalisation of climate services. In June 2019, the project launched the S2S4E Decision Support Tool (www.s2s4e.eu/dst) a forecasting service that offered integrated S2S forecasts for electricity demand and power generation from solar panels, wind turbines and hydropower plants. The tool provided operational forecasts every week during 1.5 years. Currently, the tool and all the past forecasts released throughout the project (until December 2020) are open and available online, while there is an active strategy to commercialise the operational version of the tool.
Knowledge transfer:
The project had an active engagement and knowledge transfer strategy to ensure the impact and application of the project outcomes. This included the production of monthly forecast outlooks, a series of webinars (focusing on forecasts for each season and promoting climate services for energy), the release of weekly temperature extremes forecasts on social media during summer and winter 2020, and the punctual release of forecasts for the Euro-Atlantic teleconnections. S2S4E was present in diverse fairs and energy-relevant events to share key results, and closed the project with a research day bringing together the climate science and energy modelling communities.
Policy advice:
S2S4E aimed to inform policy makers on how S2S forecasts can support the clean energy transition by enhancing the renewable energy share in the energy mix. A comprehensive report analysing energy policies and interventions with an annex database was produced in D6.2. At the end of the project, a white report was released (
https://www.bsc.es/Zd3(odnośnik otworzy się w nowym oknie)) including six policy recommendations to increase the use of S2S forecasts and improve the quality of such forecasts.