Exploring demand response opportunities in energy communities

An agent-based modeling approach for attaining self-sufficiency in mixed energy communities in the Netherlands

Master thesis (2022)

Authors

A. Soni Technology, Policy and Management

Contributors

Stefan Pfenninger Energy and Industry (supervisor 1)
T. Hoppe Organisation & Governance - TPM (supervisor 1)
J.H. Kwakkel Policy Analysis - TPM (supervisor 1)
Marianne Postmus (supervisor 1)
Faculty
Technology, Policy and Management
Copyright: © 2022 Anmol Soni
Agent based model Energy Community Demand Response
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Published Date

11-08-2022

Language

English

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Faculty

Technology, Policy and Management

Abstract

Amidst the discourse regarding the decentralization of urban energy systems, energy community has emerged as a solution for optimizing the electricity demand and distributed generation. Community energy projects also facilitate collaboration amongst local prosumers. An energy community is a collective of residential electricity consumers (or prosumers) and non-energy small and mediumsized enterprises (SMEs) formulating a social network involved in decentralized energy production. This study is focused on exploring demand response opportunities in community energy projects located in the Netherlands to reduce their dependence on the grid. Existing studies on community energy projects are primarily focused on residential members, and have little to no inclusion of nonresidential community members. However, recent studies regarding demand response in the energy community highlight the benefits of having a mixed configuration of residential and non-residential members. Introducing non-residential community members such as SMEs, offices, and schools with a complementary demand profile can help the community in attaining self-sufficiency through demand response. Formulating energy communities with a mixed configuration (i.e. including residential and non-residential community members) optimizes local electricity generation and consumption thus avoiding congestion in the distribution network....