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OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sacha Hodencq & Mathieu Brugeron & Jaume Fitó & Lou Morriet & Benoit Delinchant & Frédéric Wurtz, 2021. "OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale," Energies, MDPI, vol. 14(18), pages 1-30, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5928-:d:638376
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