Modeling the energy community members’ willingness to change their behaviour with multi-agent systems: A stochastic approach

Mircea Stefan Simoiu, Ioana Fagarasan, Stéphane Ploix and Vasile Calofir

Renewable Energy, 2022, vol. 194, issue C, 1233-1246

Abstract: Collective actions in the context provided by energy communities and more sobriety from energy users could both represent a potential solution for significantly reducing carbon emissions in residential areas. However, research are needed to properly understand, model and simulate the collective behaviour of communities owning a PV plant with energy sharing mechanisms suggested by an European directive. In this context, we propose a multi-agent modeling framework for simulating energy communities that is built upon a stochastic interpretation of the willingness of energy users to modify their consumption. The proposed concept includes an intelligent decision support system that assists community members during their daily activities and provides optimal recommendations to minimise the collective net-energy-exchanged-with-the-grid. The paper includes a case study where we present the impact of different community configurations. We emphasize that a community with just 25% of enthusiastic members provides a significant decrease in net-energy-exchanged-with-the-grid comparing to the reference scenario.

Keywords: Energy community; Multi-agent simulation; Recommendation system; Systems with humans; Net energy exchanged with the grid; Behaviour model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148122008357
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:194:y:2022:i:c:p:1233-1246

DOI: 10.1016/j.renene.2022.06.004

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().