Data acquisition for urban building energy modeling: A review

Urban Building Energy Modeling (UBEM) is essential for urban energy-related applications. Its generation mainly requires four data inputs, including geometric data, non-geometric data, weather data, and validation and calibration data. A reliable UBEM depends on the quantity and accuracy of the data...

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Published inBuilding and environment Vol. 217; p. 109056
Main Authors Wang, Chao, Ferrando, Martina, Causone, Francesco, Jin, Xing, Zhou, Xin, Shi, Xing
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.06.2022
Elsevier BV
Subjects
Cost analysis
Data acquisition
Data science
Energy
Geography
Meteorological data
Modelling
UBEM
Urban building energy modeling
Urban energy simulation
Data science
UBEM
Urban building energy modeling
Urban energy simulation
Data acquisition
Online AccessGet full text
ISSN0360-1323
1873-684X
DOI10.1016/j.buildenv.2022.109056

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Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related applications. Its generation mainly requires four data inputs, including geometric data, non-geometric data, weather data, and validation and calibration data. A reliable UBEM depends on the quantity and accuracy of the data inputs. However, the lack of available data and the difficulty in determining stochastic data are two of the main barriers in the development of UBEM. To bridge the research gaps, this paper reviews appropriate acquisition approaches for four data inputs, learning from both building science and other disciplines such as geography, transportation and computer science. In addition, detailed evaluations are also conducted in each part of the study, and the performance of the approaches are discussed, as well as the availability and cost of the implemented data. Systematic discussion, multidisciplinary analysis and comprehensive evaluation are the highlights of this review. •Appropriate and potential data acquisition approaches for UBEM are summarized.•The approaches are learnt from both building science and other disciplines.•Detailed evaluations are conducted on the performance of the approaches.•The availability and cost of the implemented data are also analyzed.
AbstractList Urban Building Energy Modeling (UBEM) is essential for urban energy-related applications. Its generation mainly requires four data inputs, including geometric data, non-geometric data, weather data, and validation and calibration data. A reliable UBEM depends on the quantity and accuracy of the data inputs. However, the lack of available data and the difficulty in determining stochastic data are two of the main barriers in the development of UBEM. To bridge the research gaps, this paper reviews appropriate acquisition approaches for four data inputs, learning from both building science and other disciplines such as geography, transportation and computer science. In addition, detailed evaluations are also conducted in each part of the study, and the performance of the approaches are discussed, as well as the availability and cost of the implemented data. Systematic discussion, multidisciplinary analysis and comprehensive evaluation are the highlights of this review. •Appropriate and potential data acquisition approaches for UBEM are summarized.•The approaches are learnt from both building science and other disciplines.•Detailed evaluations are conducted on the performance of the approaches.•The availability and cost of the implemented data are also analyzed.
Urban Building Energy Modeling (UBEM) is essential for urban energy-related applications. Its generation mainly requires four data inputs, including geometric data, non-geometric data, weather data, and validation and calibration data. A reliable UBEM depends on the quantity and accuracy of the data inputs. However, the lack of available data and the difficulty in determining stochastic data are two of the main barriers in the development of UBEM. To bridge the research gaps, this paper reviews appropriate acquisition approaches for four data inputs, learning from both building science and other disciplines such as geography, transportation and computer science. In addition, detailed evaluations are also conducted in each part of the study, and the performance of the approaches are discussed, as well as the availability and cost of the implemented data. Systematic discussion, multidisciplinary analysis and comprehensive evaluation are the highlights of this review.
ArticleNumber 109056
Author Shi, Xing
Zhou, Xin
Wang, Chao
Ferrando, Martina
Causone, Francesco
Jin, Xing
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  email: 20101@tongji.edu.cn
  organization: Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat, Ministry of Education, Shanghai, 200092, China
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UBEM
Urban building energy modeling
Urban energy simulation
Data acquisition
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Snippet Urban Building Energy Modeling (UBEM) is essential for urban energy-related applications. Its generation mainly requires four data inputs, including geometric...
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SubjectTerms Cost analysis
Data acquisition
Data science
Energy
Geography
Meteorological data
Modelling
UBEM
Urban building energy modeling
Urban energy simulation
Title Data acquisition for urban building energy modeling: A review
URI https://dx.doi.org/10.1016/j.buildenv.2022.109056
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