Providing a Scientific Arm to Renewable Energy Cooperatives

Georgios Chalkiadakis, Charilaos Akasiadis, Nikolaos Savvakis, Theocharis Tsoutsos, Thomas Hoppe, Frans Coenen

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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.
Original languageEnglish
Title of host publicationThe Role of Exergy in Energy and the Environment
EditorsSandro Nižetić, Agis Papadopoulos
Place of PublicationCham
PublisherSpringer
Pages717-731
Number of pages16
ISBN (Electronic)978-3-319-89845-2
ISBN (Print)978-3-319-89844-5
DOIs
Publication statusPublished - Jul 2018

Publication series

NameGreen Energy and Technology
PublisherSpringer
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

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Artificial intelligence
Learning systems
Statistical methods
Industry

Keywords

  • Smart grid
  • Renewable energy sources cooperative (REScoop)
  • Behavioural analysis
  • Statistical analysis
  • Demand-side management

Cite this

Chalkiadakis, G., Akasiadis, C., Savvakis, N., Tsoutsos, T., Hoppe, T., & Coenen, F. (2018). Providing a Scientific Arm to Renewable Energy Cooperatives. In S. Nižetić, & A. Papadopoulos (Eds.), The Role of Exergy in Energy and the Environment (pp. 717-731). (Green Energy and Technology). Cham: Springer. https://doi.org/10.1007/978-3-319-89845-2_51
Chalkiadakis, Georgios ; Akasiadis, Charilaos ; Savvakis, Nikolaos ; Tsoutsos, Theocharis ; Hoppe, Thomas ; Coenen, Frans. / Providing a Scientific Arm to Renewable Energy Cooperatives. The Role of Exergy in Energy and the Environment. editor / Sandro Nižetić ; Agis Papadopoulos . Cham : Springer, 2018. pp. 717-731 (Green Energy and Technology).
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Chalkiadakis, G, Akasiadis, C, Savvakis, N, Tsoutsos, T, Hoppe, T & Coenen, F 2018, Providing a Scientific Arm to Renewable Energy Cooperatives. in S Nižetić & A Papadopoulos (eds), The Role of Exergy in Energy and the Environment. Green Energy and Technology, Springer, Cham, pp. 717-731. https://doi.org/10.1007/978-3-319-89845-2_51

Providing a Scientific Arm to Renewable Energy Cooperatives. / Chalkiadakis, Georgios; Akasiadis, Charilaos ; Savvakis, Nikolaos; Tsoutsos, Theocharis; Hoppe, Thomas ; Coenen, Frans.

The Role of Exergy in Energy and the Environment. ed. / Sandro Nižetić; Agis Papadopoulos . Cham : Springer, 2018. p. 717-731 (Green Energy and Technology).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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AU - Savvakis, Nikolaos

AU - Tsoutsos, Theocharis

AU - Hoppe, Thomas

AU - Coenen, Frans

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AB - 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.

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KW - Renewable energy sources cooperative (REScoop)

KW - Behavioural analysis

KW - Statistical analysis

KW - Demand-side management

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ER -

Chalkiadakis G, Akasiadis C, Savvakis N, Tsoutsos T, Hoppe T, Coenen F. Providing a Scientific Arm to Renewable Energy Cooperatives. In Nižetić S, Papadopoulos A, editors, The Role of Exergy in Energy and the Environment. Cham: Springer. 2018. p. 717-731. (Green Energy and Technology). https://doi.org/10.1007/978-3-319-89845-2_51