A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Data acquisition for urban building energy modeling: A review
https://orcid.org/0000-0002-6320-9317
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.
Highlights 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.
Data acquisition for urban building energy modeling: A review
https://orcid.org/0000-0002-6320-9317
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.
Highlights 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.
Data acquisition for urban building energy modeling: A review
https://orcid.org/0000-0002-6320-9317
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.
Highlights 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.
Data acquisition for urban building energy modeling: A review
Wang, Chao (author) / Ferrando, Martina (author) / Causone, Francesco (author) / Jin, Xing (author) / Zhou, Xin (author) / Shi, Xing (author)
Building and Environment ; 217
2022-03-31
Article (Journal)
Electronic Resource
English