Providing a Scientific Arm to Renewable Energy Cooperatives
| Autor: | Chalkiadakis, Georgios, Akasiadis, Charilaos, Savvakis, Nikolaos, Tsoutsos, Theocharis, Hoppe, Thomas, Coenen, Frans, Nižetić, Sandro, Papadopoulos, Agis |
|---|---|
| Přispěvatelé: | Department of Governance and Technology for Sustainability |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
020209 energy Behavioural analysis media_common.quotation_subject Energy (esotericism) 02 engineering and technology Smart grid 7. Clean energy 01 natural sciences 0202 electrical engineering electronic engineering information engineering Renewable energy sources cooperative (REScoop) Energy poverty 0105 earth and related environmental sciences media_common Demand-side management business.industry Environmental economics Democracy Renewable energy 13. Climate action Statistical analysis Greenhouse gas Key (cryptography) Business |
| Zdroj: | Green Energy and Technology Green Energy and Technology-The Role of Exergy in Energy and the Environment The Role of Exergy in Energy and the Environment, 717-731 STARTPAGE=717;ENDPAGE=731;TITLE=The Role of Exergy in Energy and the Environment The Role of Exergy in Energy and the Environment The Role of Exergy in Energy and the Environment ISBN: 9783319898445 |
| ISSN: | 1865-3529 1865-3537 |
| Popis: | Summarization: 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. Appearing in: The Role of Exergy in Energy and the Environment |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|