Impact of distributed energy resources investment capacities on the carbon footprint of renewable energy communities

This paper investigates how distributed energy resources investment capacities impact the carbon footprint of a renewable energy community. The investigation is conducted through the formulation of an optimisation problem minimising an economic (cost) and an environmental (carbon footprint) objectives. It considers new investments and the carbon intensity of energy from the grid. It provides results for grid users acting alone, forming a renewable energy community but investing alone, or allowing co-investment in the community. Multiple case studies are tested to compare the effects of different tariffs and investment budgets. Various locations for renewable energy communities are also tested to see the limitations for profitability depending on the local solar intensity and carbon emission of the external electricity mix. The principal ideas are to demonstrate: that the community framework can reduce the carbon footprint of the system, that a community framework increases the benefits and that an energy bill minimization for all members (maximizing self-consumption) provides an efficient proxy for minimizing carbon footprint.

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Publication Details

Journal
IET conference proceedings.
Published
2025-02-01
DOI
https://doi.org/10.1049/icp.2024.4642
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of distributed energy resources investment capacities on the carbon footprint of renewable energy communities

Bertrand Cornélusse, Mevludin Glavić, Thomas Stegen
IET conference proceedings.
Integrated Energy Systems Optimization
article

Impact of distributed energy resources investment capacities on the carbon footprint of renewable energy communities

Bertrand Cornélusse, Mevludin Glavić, Thomas Stegen
article en

Abstract

This paper investigates how distributed energy resources investment capacities impact the carbon footprint of a renewable energy community. The investigation is conducted through the formulation of an optimisation problem minimising an economic (cost) and an environmental (carbon footprint) objectives. It considers new investments and the carbon intensity of energy from the grid. It provides results for grid users acting alone, forming a renewable energy community but investing alone, or allowing co-investment in the community. Multiple case studies are tested to compare the effects of different tariffs and investment budgets. Various locations for renewable energy communities are also tested to see the limitations for profitability depending on the local solar intensity and carbon emission of the external electricity mix. The principal ideas are to demonstrate: that the community framework can reduce the carbon footprint of the system, that a community framework increases the benefits and that an energy bill minimization for all members (maximizing self-consumption) provides an efficient proxy for minimizing carbon footprint.

IET conference proceedings.Vol. 2024(29)
University of Liège (BE)
Openalex Percentile: Top 97%
Integrated Energy Systems Optimization
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