Including greenhouse gas emissions and behavioural responses in the optimal design of PV self-sufficient energy communities

• Sacha Hodencq ^[1] ; Jonathan Coignard ^[1] ; Nana Kofi Twum-Duah ^[1] ; Lucas Hajiro Neves Mosquini ^[1]
  1. [1] Grenoble Alpes University

     Grenoble Alpes University

     Arrondissement de Grenoble, Francia

     
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 41, Nº Extra 6, 2022, págs. 2072-2083
• Idioma: inglés
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• Resumen

  • Purpose – This paper aims to consider both the greenhouse gas (GHG) emissions and behavioural response in the optimal sizing of solar photovoltaic systems (PV modules and batteries) for energy communities. The objective is to achieve a high self-sufficiency rate whilst taking into account the grid carbon intensity and the global warming potential of system components.

    Design/methodology/approach – Operation and sizing of energy communities leads to optimization problems spanning across multiple timescales. To compute the optimisation in a reasonable time, the authors first apply a simulation periods reduction using a clustering approach, before solving a linear programming problem.

    Findings – The results show that the minimum GHG emissions is achieved for self-sufficiency rates of 19% in France and 50% in Germany.

    Research limitations/implications – The analysis is restricted to specific residential profiles: further work will focus on exploring different types of consumption profiles.

    Practical implications – This paper provides relevant self-sufficiency orders of magnitude for energy communities.

    Originality/value – This paper combines various approaches in a single use case: environmental considerations, behavioural response as well as multi-year energy system sizing.