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A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing
Xu, Chen1,2,3; Li, Yu1,3; Jin, Xueting1,3; Yuan, Liang4; Cheng, Hao1
2017-12-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume9Issue:12Pages:18
Corresponding AuthorCheng, Hao(chengh.12b@igsnrr.ac.cn)
AbstractEnergy consumed the in urban sector accounts for a large proportion of total world delivered energy consumption. Residential building energy consumption is an important part of urban energy consumption. However, there are few studies focused on this issue and that have simulated the energy consumption of residential buildings using questionnaire data. In this research, an eQUEST study was conducted for different residential buildings in the Olympic Central Area in Beijing. Real-time meteorological observation data and an actual energy consumption schedule generated by questionnaire data were used to improve the eQUEST model in the absence of actual energy consumption data. The simulated total energy consumption of residential buildings in the case area in 2015 is 21,262.28 tce, and the average annual energy consumption per unit area is 20.09 kgce/(m(2).a). Space heating accounted for 45% of the total energy consumption as the highest proportion, and the second highest was household appliances, which accounted for 20%. The results showed that old residential buildings, multi-storey buildings and large-sized apartment buildings consume more energy. The internal units, building height, per capita construction area, the number of occupants and length of power use had significant impact on residential energy consumption. The result of this study will provide practical reference for energy saving reconstruction of residential buildings in Beijing.
Keywordresidential building energy consumption eQUEST simulation Beijing city
DOI10.3390/su9122245
WOS KeywordRESIDENTIAL BUILDINGS ; CO2 EMISSIONS ; END-USE ; CHINA ; BEHAVIOR ; IMPACT ; HOUSEHOLD ; SECTOR ; STRATEGIES ; CLIMATE
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation Project 'The Process and Influence Mechanism of Carbon Dioxide Emissions in Different Areas of Beijing Based on Flux Footprint'[41771182] ; Natural Science Foundation Project 'Micro-scale research on stimulation and optimal regulation of carbon emission process in typical function area of metropolis'[41271186]
Funding OrganizationNatural Science Foundation Project 'The Process and Influence Mechanism of Carbon Dioxide Emissions in Different Areas of Beijing Based on Flux Footprint' ; Natural Science Foundation Project 'Micro-scale research on stimulation and optimal regulation of carbon emission process in typical function area of metropolis'
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000419231500093
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56891
Collection中国科学院地理科学与资源研究所
Corresponding AuthorCheng, Hao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Ctr Architecture Res & Design, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
4.Kyushu Univ, Grad Sch Engn, Fukuoka 8190395, Japan
Recommended Citation
GB/T 7714
Xu, Chen,Li, Yu,Jin, Xueting,et al. A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing[J]. SUSTAINABILITY,2017,9(12):18.
APA Xu, Chen,Li, Yu,Jin, Xueting,Yuan, Liang,&Cheng, Hao.(2017).A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing.SUSTAINABILITY,9(12),18.
MLA Xu, Chen,et al."A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing".SUSTAINABILITY 9.12(2017):18.
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