Open and Reproducible Use Cases for Energy (ORUCE) methodology in systems design and operation: a dwelling photovoltaic self-consumption example
Autor: | Sacha Hodencq, Benoit DELINCHANT, Frédéric Wurtz |
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Přispěvatelé: | Laboratoire de Génie Electrique de Grenoble (G2ELab ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA) |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Building Simulation 2021 Building Simulation 2021, Sep 2021, Bruges, Belgium HAL |
ISSN: | 2522-2708 |
DOI: | 10.26868/25222708.2021.30721 |
Popis: | International audience; Historical energy system modelling as well as the current mainstream approaches are closed and proprietary. Yet, open energy modelling can be of particular interest in the building simulation community. This article presents the Open and Reproducible Use Cases for Energy (ORUCE) methodology, thought as a transferable workflow to make open energy modelling principles and advantages accessible. After underlining open energy modelling importance and best practices, the ORUCE methodology is presented for the first time, and applied for the energy design and operation of a dwelling photovoltaic selfconsumption system. Finally, the quantitative results of the application as well as the qualitative results of the methodology are discussed. Key Innovations ORUCE methodology: an easy to apply workflow for district scale open energy modelling whatever the model or framework, underlining the importance of use cases for open knowledge capitalisation. A dwelling photovoltaic self-consumption system open design and operation; making this study case reproducible, transferable and available for benchmark. Practical Implications Building simulation practitioners should consider using open data and models capitalised as ORUCE in order to collaborate and to maintain optimal performances on the whole building life cycle. |
Databáze: | OpenAIRE |
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