Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
| Autor: | Andrea Lobato, Claudio Carrasco, Luis Inostroza, Geovanna Villacreses, Massimo Palme |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Meteorology
020209 energy Urban heat island 0211 other engineering and technologies 02 engineering and technology TRNSYS lcsh:Computer applications to medicine. Medical informatics Software Engineering Geographical Information Systems Urban climate Building performance simulation 021105 building & construction 0202 electrical engineering electronic engineering information engineering Information system Research article Urban Weather Generator lcsh:Science (General) Principal Component Analysis Multidisciplinary business.industry Energy consumption Weather data Environmental science lcsh:R858-859.7 business lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 14, Iss C, Pp 671-675 (2017) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | This data article presents files supporting calculation for urban heat island (UHI) inclusion in building performance simulation (BPS). Methodology is used in the research article "From urban climate to energy consumption. Enhancing building performance simulation by including the urban heat island effect" (Palme et al., 2017) [1]. In this research, a Geographical Information System (GIS) study is done in order to statistically represent the most important urban scenarios of four South-American cities (Guayaquil, Lima, Antofagasta and Valparaiso). Then, a Principal Component Analysis (PCA) is done to obtain reference Urban Tissues Categories (UTC) to be used in urban weather simulation. The urban weather files are generated by using the Urban Weather Generator (UWG) software (version 4.1 beta). Finally, BPS is run out with the Transient System Simulation (TRNSYS) software (version 17). In this data paper, four sets of data are presented: 1) PCA data (excel) to explain how to group different urban samples in representative UTC; 2) UWG data (text) to reproduce the Urban Weather Generation for the UTC used in the four cities (4 UTC in Lima, Guayaquil, Antofagasta and 5 UTC in Valparaiso); 3) weather data (text) with the resulting rural and urban weather; 4) BPS models (text) data containing the TRNSYS models (four building models). |
| Databáze: | OpenAIRE |
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