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Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship

  • The effect of urban form on energy consumption has been the subject of various studies around the world. Having examined the effect of buildings on energy consumption, these studies indicate that the physical form of a city has a notable impact on the amount of energy consumed in its spaces. The present study identified the variables that affected energy consumption in residential buildings andThe effect of urban form on energy consumption has been the subject of various studies around the world. Having examined the effect of buildings on energy consumption, these studies indicate that the physical form of a city has a notable impact on the amount of energy consumed in its spaces. The present study identified the variables that affected energy consumption in residential buildings and analyzed their effects on energy consumption in four neighborhoods in Tehran: Apadana, Bimeh, Ekbatan-phase I, and Ekbatan-phase II. After extracting the variables, their effects are estimated with statistical methods, and the results are compared with the land surface temperature (LST) remote sensing data derived from Landsat 8 satellite images taken in the winter of 2019. The results showed that physical variables, such as the size of buildings, population density, vegetation cover, texture concentration, and surface color, have the greatest impacts on energy usage. For the Apadana neighborhood, the factors with the most potent effect on energy consumption were found to be the size of buildings and the population density. However, for other neighborhoods, in addition to these two factors, a third factor was also recognized to have a significant effect on energy consumption. This third factor for the Bimeh, Ekbatan-I, and Ekbatan-II neighborhoods was the type of buildings, texture concentration, and orientation of buildings, respectively.show moreshow less

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Document Type:Article
Author: Maryam Faroughi, Mehrdad Karimimoshaver, Farshid AramORCiD, Ebrahim Solgi, Amir MosaviORCiD, Narjes Nabipour, Kwok-Wing Chau
DOI (Cite-Link):https://doi.org/https://doi.org/10.1080/19942060.2019.1707711Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200110-40585Cite-Link
URL:https://www.tandfonline.com/doi/full/10.1080/19942060.2019.1707711
Parent Title (English):Engineering Applications of Computational Fluid Mechanics
Publisher:Taylor & Francis
Language:English
Date of Publication (online):2020/01/05
Date of first Publication:2020/01/05
Release Date:2020/01/10
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2020
Issue:Volume 14, No. 1
Pagenumber:17
First Page:254
Last Page:270
Tag:urban morphology; urban sustainability
Land surface temperature; energy consumption; remote sensing; residential buildings; smart cities
GND Keyword:Fernerkung; Intelligente Stadt; Oberflächentemperatur
Dewey Decimal Classification:000 Informatik, Informationswissenschaft, allgemeine Werke
BKL-Classification:06 Information und Dokumentation
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)