A Systemic and Multi-disciplinary Diagnosis Model for Microgrids Sustainability Studies - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

A Systemic and Multi-disciplinary Diagnosis Model for Microgrids Sustainability Studies

Abstract

There is a growing research interest in studying microgrids in rural areas as a means to promote energy access. These microgrids could be the key to energy access on a global scale because of their many advantages compared to classic grid expansion. Despite all these qualities, feedback from microgrids in rural areas shows that most fail to reach sustainability, but the reasons for their long-term failure are still not a consensus in the literature. This work intends to contribute to understanding microgrids' sustainability and their expansion by modelling them using a systemic vision approach. For this purpose, we propose a diagnosis tool that includes energy, financial, information and social aspects. A series of study cases are analyzed through this approach, showing it as a possible diagnostic tool for microgrids in the short and long term.
Fichier principal
Vignette du fichier
A Systemic and Multi-disciplinary Diagnosis Model for Microgrids Sustainability Studies.pdf (275.04 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03778769 , version 1 (16-09-2022)

Licence

Identifiers

  • HAL Id : hal-03778769 , version 1

Cite

Antoine Boche, Clément Foucher, Luiz Fernando Lavado Villa. A Systemic and Multi-disciplinary Diagnosis Model for Microgrids Sustainability Studies. International Conference on Innovations in Energy Engineering & Cleaner Production (IEE CP 2022), IEEE, Jul 2022, Oxford, United Kingdom. ⟨hal-03778769⟩
139 View
47 Download

Share

Gmail Mastodon Facebook X LinkedIn More