Energy Consumption and Outdoor Thermal Comfort Characteristics in High-Density Urban Areas Based on Local Climate Zone-A Case Study of Changsha, China

被引:0
作者
Chen, Yaping [1 ]
Wang, Chun [2 ]
Hu, Yinze [3 ]
机构
[1] Hunan Univ Technol & Business, Sch Design & Art, Changsha 410205, Peoples R China
[2] Hunan Normal Univ, Sch Informat Sci & Engn, Changsha 410081, Peoples R China
[3] Hunan Lugu Architectural Technol Co Ltd, Changsha, Peoples R China
关键词
energy consumption; urban from; outdoor thermal comfort; LCZ; FORM; IMPACT; MODEL; CITY; HOT; MICROCLIMATE; PERFORMANCE; BUILDINGS; DEMAND;
D O I
10.3390/su16167157
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aims to investigate the characteristics of energy consumption and outdoor thermal comfort within the high-density urban fabric of Changsha. Two different types of building (residential and office), as well as three building forms (point, slab, and enclosed) were analyzed under the local climate zone scheme. Utilizing the ENVI-met 5.6.1 and EnergyPlus 23.2.0 software, simulations were conducted to assess the thermal comfort and energy consumption of 144 architectural models. Then, multiple regression and spatial regression were applied to predict the energy consumption characteristics of the study area. The results showed the following: (1) In the high-density urban area of Changsha, the central business district and historic old town adjacent to the Xiangjiang River are identified as areas with high energy use intensity. (2) Among the residential categories, the point-types LCZ-3 and LCZ-6, as well as the slab-type LCZ-4, exhibit the lowest energy use intensity. In contrast, the enclosed office buildings, LCZ-2 and LCZ-5, are characterized by the highest energy use intensity. (3) Urban form parameters such as floor area ratio and building shape coefficient have a significant impact on EUIwinter, while EUIsummer is highly related to the normalized difference vegetation index and building shape coefficient (BSC). (4) The slab-type LCZ-4 stands out with its notably lower cooling and heating energy use intensity, coupled with excellent thermal comfort, making it particularly well-suited for the climatic conditions of Changsha.
引用
收藏
页数:33
相关论文
共 43 条
  • [1] The effect of neighbourhood-level urban form on residential building energy use: A GIS-based model using building energy benchmarking data in Seattle
    Ahn, YongJin
    Sohn, Dong-Wook
    [J]. ENERGY AND BUILDINGS, 2019, 196 : 124 - 133
  • [2] Is it fundamental to model the inter-building effect for reliable building energy simulations? Interaction with shading systems
    Ascione, Fabrizio
    Bianco, Nicola
    Iovane, Teresa
    Mastellone, Margherita
    Mauro, Gerardo Maria
    [J]. BUILDING AND ENVIRONMENT, 2020, 183
  • [3] Assessing the synergies between heat waves and urban heat islands of different local climate zones in Guangzhou, China
    Chen, Guang
    Chen, Yiqi
    He, Hao
    Wang, Junsong
    Zhao, Lihua
    Cai, Yunnan
    [J]. BUILDING AND ENVIRONMENT, 2023, 240
  • [4] Can information and communication technology reduce CO2 emission? A quantile regression analysis
    Chen, Xiaohong
    Gong, Xiaomei
    Li, Dayuan
    Zhang, Jiaping
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (32) : 32977 - 32992
  • [5] Spatial and temporal characteristics of nighttime UHII based on local climate zone scheme using mobile measurement-A case study of Changsha
    Chen, Yaping
    Li, Jiayu
    Hu, Yinze
    Liu, Luyun
    [J]. BUILDING AND ENVIRONMENT, 2023, 228
  • [6] Effect of local climate zone (LCZ) and building category (BC) classification on the simulation of urban climate and air-conditioning load in Hong Kong
    Du, Ruiqing
    Liu, Chun -Ho
    Li, Xian-Xiang
    Lin, Chuan-Yao
    [J]. ENERGY, 2023, 271
  • [7] Impact of urban heat island mitigation measures on microclimate and pedestrian comfort in a dense urban district of Lebanon
    Fahed, Jeff
    Kinab, Elias
    Ginestet, Stephane
    Adolphe, Luc
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2020, 61
  • [8] Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts
    Fonseca, Jimeno A.
    Schlueter, Arno
    [J]. APPLIED ENERGY, 2015, 142 : 247 - 265
  • [9] Urban form and function as building performance parameters
    Futcher, Julie Ann
    Kershaw, Tristan
    Mills, Gerald
    [J]. BUILDING AND ENVIRONMENT, 2013, 62 : 112 - 123
  • [10] Experimental Study on the Carbon Sequestration Benefit in Urban Residential Green Space Based on Urban Ecological Carrying Capacity
    Gong, Yinglin
    Luo, Xiaoyong
    [J]. SUSTAINABILITY, 2022, 14 (13)