Influence of built environment on building energy consumption: a case study in Nanjing, China

被引:35
|
作者
Wang, Peng [1 ,2 ]
Yang, Yuting [1 ]
Ji, Cheng [1 ]
Huang, Lei [2 ]
机构
[1] Jiangsu Univ, Fac Civil Engn & Mech, Zhenjiang 212013, Peoples R China
[2] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Built environment; Building energy consumption; Regression analysis; Moderating effect; ELECTRICITY CONSUMPTION; RENEWABLE ENERGY; RIVER DELTA; URBAN FORM; IMPACT;
D O I
10.1007/s10668-023-02930-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Built environment plays a significant role in optimizing building energy consumption. However, few studies have explored the comprehensive effect between built environment metrics on building energy consumption. Thus, this study aims to explore interrelationships between built environment on building energy consumption focused on moderating effect. In this study, we established a built environment measure system from the perspective of land use and land cover, landscape structure and building configuration. This study explored the correlation between built environment and building energy consumption and analyzed the moderating effect of building configuration emphatically. Results show that: for integrated grids group, normalized difference vegetation index (NDVI) and modified normalized difference water index (MNDWI) have a positive influence and impervious area (IA) has a negative influence, with NDVI has the greatest impact. Building floor (BF), building coverage ratio (BCR) and aspect ratio can weaken the positive relationship between NDVI and energy use intensity of grid (EUIgrid). BCR weakens the positive effect of MNDWI on EUIgrid. The moderating effect of building configuration on EUI varies in the same grid group and among different grid groups. For sample 1, BCR inhibits the negative effect of mean perimeter-area ration (PARA-MN) on EUIgrid. For sample 2, BF promotes the negative effect of number of patches and land use richness index (R) on EUIgrid. And sky view factor inhibits the positive effect of IA on EUIgrid. This study reveals the pathways of built environment on building energy consumption. As a result, the keys of optimizing building energy consumption are the reasonable planning and optimization of the urban built environment of different land cover.{GRAPHIS}
引用
收藏
页码:5199 / 5222
页数:24
相关论文
共 50 条
  • [31] A systematic procedure to study the influence of occupant behavior on building energy consumption
    Yu, Zhun
    Fung, Benjamin C. M.
    Haghighat, Fariborz
    Yoshino, Hiroshi
    Morofsky, Edward
    ENERGY AND BUILDINGS, 2011, 43 (06) : 1409 - 1417
  • [32] The performance and analysis of office building energy consumption in the west of Inner Mongolia Autonomous Region, China
    Lu, Shilei
    Zheng, Shaoqun
    Kong, Xiangfei
    ENERGY AND BUILDINGS, 2016, 127 : 499 - 511
  • [33] How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River
    Fan, Zhengxi
    Duan, Jin
    Luo, Menglin
    Zhan, Huanran
    Liu, Mengru
    Peng, Wangchongyu
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (09)
  • [34] Assessment of Influence Mechanisms of Built Environment on Street Vitality Using Multisource Spatial Data: A Case Study in Qingdao, China
    Li, Mingyi
    Pan, Jinghu
    SUSTAINABILITY, 2023, 15 (02)
  • [35] Unveiling the influence of the extended online-to-offline food delivery service environment on urban residents' usage: A case study of Nanjing, China
    Kong, Yu
    Zhen, Feng
    Zhang, Shanqi
    Chang, Enyu
    Cheng, Long
    Witlox, Frank
    CITIES, 2024, 152
  • [36] The synergistic effect of multiple design factors on building energy consumption of office blocks: A case study of Wuhan, China
    Li, Gaomei
    Sun, Cheng
    Sang, Mengcheng
    Chen, Shuqin
    Li, Jinjin
    Han, Yunsun
    Xu, Shen
    JOURNAL OF BUILDING ENGINEERING, 2024, 95
  • [37] Exploring multi-scale spatial relationship between built environment and public bicycle ridership: A case study in Nanjing
    Lyu, Cheng
    Wu, Xinhua
    Liu, Yang
    Yang, Xun
    Liu, Zhiyuan
    JOURNAL OF TRANSPORT AND LAND USE, 2020, 13 (01) : 447 - 467
  • [38] Influence of Built Environment on Urban Vitality: Case Study of Shanghai Using Mobile Phone Location Data
    Wu, Wanshu
    Niu, Xinyi
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2019, 145 (03)
  • [39] The net effects of the built environment on household vehicle emissions: A case study of Austin, TX
    Choi, Kwangyul
    Zhang, Ming
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 50 : 254 - 268
  • [40] Enhanced supervision strategies for effective reduction of building energy consumption-A case study of Ningbo
    Yao, Jian
    Zhu, Neng
    ENERGY AND BUILDINGS, 2011, 43 (09) : 2197 - 2202