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DataRen, a Territorial Energy Demand Modelling Tool

Published in 11th International Symposium on Digital Earth (ISDE 11). Prague, the Czech Republic - 2–4 July 2019 - Bristol: IOP Publishing. 2019, p. 012093
Collection IOP Conference Series: Earth and Environmental Science; 290
Abstract This paper presents a tool allowing for characterization of heat, electricity and cooling demand for any portion of the territory of the Canton of Geneva (Switzerland). This project is conducted in cooperation with the local energy utility company Services Industriels de Genève and its final goal is to offer to all stakeholders a uniform spatio-temporal database to be used for the purpose of territorial energy planning. The added value is to consolidate the various data and estimations models into a single data container and to share the resulting data (GIS and hourly load curves) on a web-service platform. The model behind the tool operates in two steps. First the yearly demand of the various energy services (space heating, domestic hot water production, electricity, comfort cooling and process cooling) are estimated at building level, whenever possible using energy bills. Data gaps are filled using statistical extrapolations models. In a second step, these annual aggregated demands (at district level) are characterized in terms of hourly dynamic, for a common reference year, by re-scaling monitored load curves collected on various case studies. Finally, for a chosen district the tool evaluates the impact on energy demand of some prospective scenarios, as adding of new buildings and / or retrofitting existing ones.
Keywords ToolTerritorial energy planningHeatElectricityCooling
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Research groups Systèmes énergétiques
ISE Pôle Sciences
ISE Energie
Project SIG
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DE OLIVEIRA FILHO, Fleury, SCHNEIDER, Stefan, HOLLMULLER, Pierre. DataRen, a Territorial Energy Demand Modelling Tool. In: Central Europe towards Sustainable Building (CESB19). Prague, the Czech Republic. Bristol : IOP Publishing, 2019. p. 012093. (IOP Conference Series: Earth and Environmental Science; 290) doi: 10.1088/1755-1315/290/1/012093 https://archive-ouverte.unige.ch/unige:120386

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Deposited on : 2019-07-05

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