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

Author:

Chen Yaping1,Wang Chun2,Hu Yinze3

Affiliation:

1. School of Design and Art, Hunan University of Technology and Business, Changsha 410205, China

2. School of Information Science and Engineering, Hunan Normal University, Changsha 410081, China

3. Hunan Lugu Architectural Technology Co., Ltd., Changsha 410036, China

Abstract

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.

Funder

Natural Science Foundation of Hunan Province, China

Natural Science Foundation of Changsha, China

Excellent Youth Foundation of Hunan Educational Committee

Hunan Provincial Social Science Achievement Evaluation Committee

“Digital Intelligence” Interdisciplinary Research Project of Hunan University of Technology and Business

Publisher

MDPI AG

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