Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/82176
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Civil and Environmental Engineering | - |
dc.creator | Faroughi, M | - |
dc.creator | Karimimoshaver, M | - |
dc.creator | Aram, F | - |
dc.creator | Solgi, E | - |
dc.creator | Mosavi, A | - |
dc.creator | Nabipour, N | - |
dc.creator | Chau, KW | - |
dc.date.accessioned | 2020-05-05T05:58:58Z | - |
dc.date.available | 2020-05-05T05:58:58Z | - |
dc.identifier.issn | 1994-2060 | - |
dc.identifier.uri | http://hdl.handle.net/10397/82176 | - |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | © 2020 The Author(s). | en_US |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | The following publication Maryam Faroughi, Mehrdad Karimimoshaver, Farshid Aram, Ebrahim Solgi,Amir Mosavi, Narjes Nabipour & Kwok-Wing Chau (2020) Computational modeling of land surfacetemperature using remote sensing data to investigate the spatial arrangement of buildings andenergy consumption relationship, Engineering Applications of Computational Fluid Mechanics, 14:1,254-270 is available at https://dx.doi.org/10.1080/19942060.2019.1707711 | en_US |
dc.subject | Land surface temperature | en_US |
dc.subject | Energy consumption | en_US |
dc.subject | Residential buildings | en_US |
dc.subject | Urban morphology | en_US |
dc.subject | Urban sustainability | en_US |
dc.subject | Remote sensing | en_US |
dc.title | Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 254 | - |
dc.identifier.epage | 270 | - |
dc.identifier.volume | 14 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1080/19942060.2019.1707711 | - |
dcterms.abstract | 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 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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Engineering applications of computational fluid mechanics, 2020, v. 14, no. 1, p. 254-270 | - |
dcterms.isPartOf | Engineering applications of computational fluid mechanics | - |
dcterms.issued | 2020 | - |
dc.identifier.isi | WOS:000505395000001 | - |
dc.identifier.scopus | 2-s2.0-85077290098 | - |
dc.identifier.eissn | 1997-003X | - |
dc.description.validate | 202006 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Faroughi_Computational_Modeling_Land.pdf | 5.84 MB | Adobe PDF | View/Open |
Page views
129
Last Week
1
1
Last month
Citations as of Oct 13, 2024
Downloads
88
Citations as of Oct 13, 2024
SCOPUSTM
Citations
49
Citations as of Oct 17, 2024
WEB OF SCIENCETM
Citations
47
Citations as of Oct 17, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.