4.1 Article Data Paper

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

期刊

DATA IN BRIEF
卷 14, 期 -, 页码 671-675

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.dib.2017.08.035

关键词

Building performance simulation; Urban heat island; Geographical Information Systems; Urban Weather Generator; Principal Component Analysis

资金

  1. Conicyt (Chile) [Fondecyt 11140578]
  2. Senescyt (Ecuador) [Prometeo 006-2015]
  3. University of Valparaiso (Chile) [DIUV 53/2013, DIUV 52/2013]

向作者/读者索取更多资源

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). (C) 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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