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Scalable Building Energy Efficiency Balancing
Buildings, especially existing buildings, consume too much energy in a way we do not monitor and control continuously. Such overconsumption both substantially counteracts efforts to slow down climate change and is financially costly, which is a highly pressing topic in current times. Yet under the premise of applying Building Information Modeling (BIM), the automated and scalable generation of digital twins from building models for building energy efficiency balancing is feasible as we demonstrate. Consequently, existing and new buildings can be twinned for building energy efficiency balancing both to identify necessary refurbishments for existing buildings, and, in the event of new buildings, take the right decisions during the planning and design, and operation phase, respectively. Our proposal has been evaluated in the course of expert interviews to verify both its practical feasibility and relevance.
Scalable Building Energy Efficiency Balancing
Buildings, especially existing buildings, consume too much energy in a way we do not monitor and control continuously. Such overconsumption both substantially counteracts efforts to slow down climate change and is financially costly, which is a highly pressing topic in current times. Yet under the premise of applying Building Information Modeling (BIM), the automated and scalable generation of digital twins from building models for building energy efficiency balancing is feasible as we demonstrate. Consequently, existing and new buildings can be twinned for building energy efficiency balancing both to identify necessary refurbishments for existing buildings, and, in the event of new buildings, take the right decisions during the planning and design, and operation phase, respectively. Our proposal has been evaluated in the course of expert interviews to verify both its practical feasibility and relevance.
Scalable Building Energy Efficiency Balancing
Zech, Philipp (Autor:in) / Plorer, Daniel (Autor:in) / Pfluger, Rainer (Autor:in) / Breu, Ruth (Autor:in)
20.05.2024
579613 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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