Paper published in a book (Scientific congresses and symposiums)
Residential Energy Communities: How to minimize the investment risk from an investor perspective
Vangulick, David; Manuel de Villena Millan, Miguel; Fonteneau, Raphaël et al.
2021In Proceedings of the CIRED 2021 Conference
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Keywords :
Bayesian Game; Distribution Network Operator; Grid tariffs; Residential Energy Community
Abstract :
[en] The success of local renewable energy communities, now foreseen by new the European Union directives but also growing worldwide, will rely on the appetite of consumers and investors. This is not obvious when the target local area is a residential community where people have varying expectations. Based on Bayesian game theory (also called game of incomplete information), the purpose of this paper is to define an approach for determining, from the point of view of the renewable energy investor, the level of production capacity and optimum energy price to be offered to the consumers.
Disciplines :
Energy
Energy
Author, co-author :
Vangulick, David ;  Université de Liège - ULiège > Montefiore Institute
Manuel de Villena Millan, Miguel  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Fonteneau, Raphaël ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Ernst, Damien  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Language :
English
Title :
Residential Energy Communities: How to minimize the investment risk from an investor perspective
Publication date :
June 2021
Event name :
CIRED 2021 Conference
Event date :
from 21-06-2021 to 24-06-2021
Audience :
International
Main work title :
Proceedings of the CIRED 2021 Conference
Peer reviewed :
Peer reviewed
Available on ORBi :
since 08 March 2021

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