2017
DOI: 10.1016/j.apenergy.2017.10.041
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Big data GIS analysis for novel approaches in building stock modelling

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Cited by 81 publications
(51 citation statements)
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References 49 publications
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“…Accounting of spatial aspects. Use of regional archetypes [29][30][31], spatial data [53][54][55], GIS integration [32,33,35,56,57].…”
Section: Spatial Dimensionmentioning
confidence: 99%
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“…Accounting of spatial aspects. Use of regional archetypes [29][30][31], spatial data [53][54][55], GIS integration [32,33,35,56,57].…”
Section: Spatial Dimensionmentioning
confidence: 99%
“…Methodological advancement on GIS-LCA integration is needed [60,61]. GIS integration can support efficient spatial information management and processing and improve model accuracy [15,33,36,56,57,60].…”
Section: Spatial Dimensionmentioning
confidence: 99%
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“…To that end, we developed a new thermal model featuring an improved three‐dimensional building database and new approaches for energy demand calculation (Buffat et al. ).…”
Section: Discussionmentioning
confidence: 99%
“…We are working on a follow-up publication which investigates this trade-off more closely by coupling the material flow model with a thermal energy demand simulation. To that end, we developed a new thermal model featuring an improved three-dimensional building database and new approaches for energy demand calculation (Buffat et al 2017).…”
Section: Discussionmentioning
confidence: 99%