Clustering of European climates and representative climate identification for building energy simulation analyses

G. Pernigotto, Angélica Walsh, Andrea Gasparella, Jan Hensen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 16th International IBPSA Conference (Building Simulation 2019)
PublisherInternational Building Performance Simulation Association (IBPSA)
Number of pages8
Publication statusPublished - 4 Sep 2019
EventBuilding Simulation 2019: 16th Conference of IBPSA (BS2019) - largo Angelicum, 1 – 00184 Rome, Rome , Italy
Duration: 2 Sep 20194 Sep 2019
http://buildingsimulation2019.org/

Conference

ConferenceBuilding Simulation 2019: 16th Conference of IBPSA (BS2019)
Abbreviated titleBS 2019
Country/TerritoryItaly
CityRome
Period2/09/194/09/19
Internet address

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