OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale
Sacha Hodencq,
Mathieu Brugeron,
Jaume Fitó,
Lou Morriet,
Benoit Delinchant and
Frédéric Wurtz
Additional contact information
Sacha Hodencq: University Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
Mathieu Brugeron: University Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
Jaume Fitó: Laboratoire Optimisation de la Conception et Ingénierie de l’Environnement (LOCIE), CNRS UMR 5271—Université Savoie Mont Blanc, Polytech Annecy-Chambéry, Campus Scientifique, Savoie Technolac, CEDEX, 73376 Le Bourget-Du-Lac, France
Lou Morriet: University Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
Benoit Delinchant: University Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
Frédéric Wurtz: University Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France
Energies, 2021, vol. 14, issue 18, 1-30
Abstract:
Energy modelling is key in order to face the challenges of energy transition. There is a wide variety of modelling tools, depending on their purpose or study phase. This article summarises their main characteristics and highlights ones that are relevant when it comes to the preliminary design of energy studies at district scale. It introduces OMEGAlpes, a multi-carrier energy modelling tool to support stakeholders in the preliminary design of district-scale energy systems. OMEGAlpes is a Mixed-Integer Linear Programming (MILP) model generation tool for optimisation. It aims at making energy models accessible and understandable through its open-source development and the integration of energy stakeholders and their areas of responsibility into the models. A library of use cases developed with OMEGAlpes is presented and enables the presentation of past, current, and future development with the tool, opening the way for future developments and collaborations.
Keywords: energy modelling; MILP optimisation; district scale; open-source; stakeholders; use cases (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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