This research presents a methodology to cluster weather climates with the purpose of generating homogeneous and distinct groups suitable for the selection of representative cities, to use as reference for robust generalization of building simulation findings. The proposed methodology is based on Hierarchical Clustering and Kolmogorov-Smirnov tests, applied to dry bulb temperature, water vapour partial pressure and solar irradiation data. As an example, a dataset with more than 300 European climates is analysed, a new classification is prepared and compared with the well-known Köppen-Geiger system. Results on this paper provide preliminary indications of the large potential of this approach to identify representative cities for Building Energy Simulation analyses.
|Titel||Proceedings of the 16th International IBPSA Conference (Building Simulation 2019)|
|Uitgeverij||International Building Performance Simulation Association (IBPSA)|
|Status||Gepubliceerd - 4 sep 2019|
|Evenement||Building Simulation 2019: 16th Conference of IBPSA (BS2019) - largo Angelicum, 1 – 00184 Rome, Rome , Italië|
Duur: 2 sep 2019 → 4 sep 2019
|Congres||Building Simulation 2019: 16th Conference of IBPSA (BS2019)|
|Verkorte titel||BS 2019|
|Periode||2/09/19 → 4/09/19|
Pernigotto, G., Walsh, A., Gasparella, A., & Hensen, J. (2019). Clustering of European climates and representative climate identification for building energy simulation analyses. In Proceedings of the 16th International IBPSA Conference (Building Simulation 2019) International Building Performance Simulation Association (IBPSA).