AI for predicting the climate change impact in RES and energy demand at regional (local) level
Enabling the local agency to plan the deployment of renewable sources in an effective manner, considering the future changing conditions derived from climate change.
What is the challenge that is being addressed?
Varying weather conditions derived by climate change will have an impact on renewable resources as well as on the energy demand (i.e.: HVAC) at regional (local) level. However, even when there are models that predict how climate change will evolve over time, they do so at a very low resolution, deeming it necessary to downscale these models at a finer scale, by referencing them to in situ data. In this sense, AI can support to predict such local climate impacts and their consequences related to the energy demand the renewable energy generation potential. This pilot will be led by FAEN (Fundación Asturiana de la Energía), who holds the competences for the deployment of renewable energy sources in the region of Asturias, Spain.
What is the AI solution the project plans to implement?
Focusing on the regional scale [in particular, in the region of Asturias, Spain] and with the aim to support the generation of energy strategies that contemplate climate impacts, the pilot will exploit Copernicus data (mainly data coming from C3S and the Atmosphere Data Store (ADS)) and other complementary sources and will, on the one hand, downscale Essential Climate Variables (ECVs) depicted in the models to the regional level to have a more accurate climate change impact model at this finer scale. This will, secondly, enable to predict the potential (long term) of renewable resources [wind, hydro, solar radiation] by assessing the expected vulnerabilities that may arise from these climate change impacts.
As a result, the pilot will enable the local agency to plan the deployment of renewable sources in an effective manner, considering the future changing conditions derived from climate change.
Who will help implement this solution?
This pilot is implemented within the framework of the “I-NΕRGΥ: Artificial Intelligence for Next Generation Energy” Project. The I-NERGY Project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement No. 101016508.
The responsible partner for this Use Case is FAEN (https://www.faen.es/).