[Zurück]

N. Ghiassi, A. Mahdavi:
"Urban Energy Modeling Using Multivariate Cluster Analysis";
Vortrag: Proceedings of the CESBP Central European Symposium on Building Physics AND BauSIM 2016, Dresden, Germany; 14.09.2016 - 16.09.2016; in: "Proceedings of BauSim 2016", J. Grunewald et al. (Hrg.); Technische Universität Dresden / Scientific Committee of the CESBP // Fraunhofer IRB Verlag, (2016), 978‐3‐8167‐9798‐2; S. 329 - 336.

[no german version available] Performance simulation tools offer many possibilities to study the implications of various physical,
technological, operational, and contextual factors for the energy performance of buildings. However, using such tools for urban-scale inquiries has been hampered by their substantial informational and computational requirements. To facilitate the
computationally efficient simulation-based thermal assessment of large building assemblies, the present research proposes a sampling-based framework. The suggested method relies on Multivariate Cluster Analysis (MCA) based on energy-related building parameters, to ensure that the selected sample reflects
the energy behavioral diversity of the urban area
under study.

Performance simulation tools offer many possibilities to study the implications of various physical,
technological, operational, and contextual factors for the energy performance of buildings. However, using such tools for urban-scale inquiries has been hampered by their substantial informational and computational requirements. To facilitate the
computationally efficient simulation-based thermal assessment of large building assemblies, the present research proposes a sampling-based framework. The suggested method relies on Multivariate Cluster Analysis (MCA) based on energy-related building parameters, to ensure that the selected sample reflects
the energy behavioral diversity of the urban area
under study.