Data, Analytics and Algorithms to support Local Energy Communities

Cristian Aguayo,Paula Carroll, Evita Kairiša

2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)(2023)

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摘要
The EU 2050 Climate Law, Green deal and Clean Energy Packages place the “citizen at the centre of the energy transition”. However, new actors in the clean energy transition such as Local Energy Communities (LECs) are challenged to participate in electricity markets in an equitable manner without adequate provision of open source tools and data to perform initial feasibility assessments and to support their day-to-day operations. LECs need support with many decisions, which business model to use, the size and location of renewable energy sources, and subsequent operational decisions on how much electricity to use, buy, store, or sell. In this paper we focus on the role of open renewable energy data for LEC initial feasibility assessments.
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关键词
Open data,Energy communities,Optimisation approaches
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