Providing a scientific arm to renewable energy cooperatives

Book chapter (2018)

Authors

Georgios Chalkiadakis Technical University of Crete
Charilaos Akasiadis Technical University of Crete
Nikolaos Savvakis Technical University of Crete
Theocharis Tsoutsos Technical University of Crete
T. Hoppe Organisation & Governance - TPM
F.H.J.M. Coenen University of Twente
Research Group
Organisation & Governance (TPM) (TU Delft)
Statistical analysis Smart grid Demand-side management Behavioural analysis Renewable energy sources cooperative (REScoop)
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Technology, Policy and Management

Department

Multi Actor Systems

Research Group

Organisation & Governance

Abstract

Renewable Energy-Supplying cooperatives (REScoops) are cooperatives of renewable energy producers and/or consumers, which are under formulation in the emerging European smart grid. Their emergence highlights the importance of proconsuming green energy and simultaneously puts forward principles such as energy democracy and self-consumption, assists the fight against energy poverty, and helps reduce GHG emissions. To this end, the incorporation of scientific and technological solutions into the REScoops’ everyday business and practices, is key for improving these practices and assessing their potential benefits, and as such for enabling them to deliver the maximum possible gains to their members and society at large. This chapter outlines three key axes of scientific research and solutions that can be used for REScoops, namely, (a) a statistical analysis, (b) an applied behavioural analysis, and (c) an artificial intelligence/machine learning one. Also presented are results and lessons learned from providing such solutions to European REScoops as part of the H2020 REScoop Plus project.