Methodologies for Synthetic Spatial Building Stock Modelling: Data-Availability-Adapted Approaches for the Spatial Analysis of Building Stock Energy Demand

Buildings are responsible for around 30 to 40% of the energy demand and greenhouse gas (GHG) emissions in European countries. Building stock energy models (BSEMs) are an established method to assess the energy demand and environmental impact of building stocks. Spatial analysis of building stock ene...

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Principais autores:	Claudio Nägeli, Liane Thuvander, Holger Wallbaum, Rebecca Cachia, Sebastian Stortecky, Ali Hainoun
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2022-09-01
叢編:	Energies
主題:	building stock modelling spatial building stock modelling bottom-up model synthetic building stock
在線閱讀:	https://www.mdpi.com/1996-1073/15/18/6738
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