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Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation

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...

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Autores principales: Palme, M., Inostroza, L., Villacreses, G., Lobato, A., Carrasco, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596256/
https://www.ncbi.nlm.nih.gov/pubmed/28932771
http://dx.doi.org/10.1016/j.dib.2017.08.035
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author Palme, M.
Inostroza, L.
Villacreses, G.
Lobato, A.
Carrasco, C.
author_facet Palme, M.
Inostroza, L.
Villacreses, G.
Lobato, A.
Carrasco, C.
author_sort Palme, M.
collection PubMed
description 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 Valparaíso). 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 Valparaíso); 3) weather data (text) with the resulting rural and urban weather; 4) BPS models (text) data containing the TRNSYS models (four building models).
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spelling pubmed-55962562017-09-20 Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation Palme, M. Inostroza, L. Villacreses, G. Lobato, A. Carrasco, C. Data Brief Engineering 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 Valparaíso). 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 Valparaíso); 3) weather data (text) with the resulting rural and urban weather; 4) BPS models (text) data containing the TRNSYS models (four building models). Elsevier 2017-08-31 /pmc/articles/PMC5596256/ /pubmed/28932771 http://dx.doi.org/10.1016/j.dib.2017.08.035 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Palme, M.
Inostroza, L.
Villacreses, G.
Lobato, A.
Carrasco, C.
Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title_full Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title_fullStr Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title_full_unstemmed Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title_short Urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
title_sort urban weather data and building models for the inclusion of the urban heat island effect in building performance simulation
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596256/
https://www.ncbi.nlm.nih.gov/pubmed/28932771
http://dx.doi.org/10.1016/j.dib.2017.08.035
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