Maurizio Memoli

Assessing the Optimal Scenario of Collective Self-Consumption Groups in Net Zero Condominiums

Trevisan, Riccardo
;
Ghiani, Emilio;Ladu, Mara;Balletto, Ginevra
2024-01-01

Abstract

The energy transition promoted in European countries to improve the sustainability of the energy sector brings together citizens to generate, share and sell energy produced by locally owned renewable plants. Energy communities (ECs) and collective self-consumption (CSGs) groups are strategic power-sharing models to drive this democratization process in a flexible way. However, these two models face challenges such as regulatory barriers, technical limitations, and social acceptance. In addition, the optimal sizing in terms of consumption and production to locally balance the EC load and generate the best obtainable value for all stakeholders represents another pivotal challenge. In this framework, the study proposes a methodology to assess multiple sizing scenarios of the generation and storage system in condominiums, applying an innovative multi-criteria techno-economic approach that allows to analyze the potential benefits that can be obtained by simulating. A case study of a collective self-consumption group located in a smart building in Italy is developed to assess the relevance of the methodology. The investment case supported by a third-party investor is evaluated and analyzed.
2024
Inglese
ICCSA 2024. Lecture Notes in Computer Science, vol 14818.
9783031652721
9783031652738
Springer
213
224
12
Computational Science and Its Applications – ICCSA 2024 Workshops
Contributo
Esperti anonimi
July 1–4, 2024
Hanoi, Vietnam
internazionale
scientifica
Energy Transition, Collective Self-Consumption Groups, Scenario Analysis, Investment Evaluation
Goal 7: Affordable and clean energy
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Trevisan, Riccardo; Ghiani, Emilio; Ladu, Mara; Balletto, Ginevra
273
4
4.1 Contributo in Atti di convegno
partially_open
info:eu-repo/semantics/conferencePaper
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