Simulation and Analysis of the Energy Consumption for Public Buildings in Different Climate Regions of China

被引:6
|
作者
Zhao, Bingwen [1 ]
Qi, Lijuan [1 ]
Yang, Ting [1 ]
机构
[1] Zhejiang Sci Tech Univ, Sch Civil Engn & Architecture, Hangzhou 310018, Zhejiang, Peoples R China
关键词
Different climatic regions; Building envelope; Public building; Energy simulation; EnergyPlus; SAVINGS;
D O I
10.1016/j.proeng.2017.10.110
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Based on a public building in China, this paper built a benchmark model and analyzed the influence of main thermal performance of building envelopes on energy consumption in different climatic regions by EnergyPlus. The results showed that in the order of hot summer and warm winter region, hot summer and cold winter region, cold region, severe cold region, the energy-saving effect was getting better and better with the increase of roof insulation, exterior wall insulation and exterior window insulation. If SHGC of exterior window was reduced, building energy consumption decreased in hot summer and warm winter region, hot summer and cold winter region, but it increased in cold region and severe cold region. For hot summer and warm winter region, hot summer and cold winter region, the factors that affected energy consumption was as follows: SHGC > K-win > K-wal > K-ro, for cold region and severe cold region, it was as follows: K-win > K-wal > SHGC > K-ro. (c) 2017 The Authors. Published by Elsevier Ltd.
引用
下载
收藏
页码:2940 / 2947
页数:8
相关论文
共 50 条
  • [1] Comparison and analysis of energy consumption of energy-efficient office buildings in different climate regions in China: Case studies
    Zhang K.
    Zhu N.
    Frontiers in Energy, 2013, 7 (3) : 399 - 405
  • [2] Comparison and analysis of energy consumption of energy-efficient office buildings in different climate regions in China:case studies
    Ke ZHANG
    Neng ZHU
    Frontiers in Energy, 2013, 7 (03) : 399 - 405
  • [3] Influence of retro-reflective material on public buildings energy consumption in different climate regions
    1600, Journal of Chemical and Pharmaceutical Research, 3/668 Malviya Nagar, Jaipur, Rajasthan, India (05):
  • [4] Discussion of the Adaption of Between Blinds Glass for Residential Buildings in Different Climate Regions of China Based on Energy Consumption Analysis
    Ma, Nisha
    Li, Qiong
    Meng, Qinglin
    Cao, Aisi
    Wang, Junsong
    9TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING (ISHVAC) JOINT WITH THE 3RD INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT (COBEE), 2015, 121 : 1150 - 1157
  • [5] Energy consumption simulation for residential buildings with shading devices in different regions
    Liu, Junjie
    Zhou, Xiaojie
    Gao, Zhihong
    PROCEEDINGS OF THE ENERGY SUSTAINABILITY CONFERENCE 2007, 2007, : 627 - 631
  • [6] Simulation Analysis and Scheme Optimization of Energy Consumption in Public Buildings
    Liu, Yang
    Zou, Shiqing
    Chen, Hongyu
    Wu, Xianguo
    Chen, Wenman
    ADVANCES IN CIVIL ENGINEERING, 2019, 2019
  • [7] Future Climate Change on Energy Consumption of Office Buildings in Different Climate Zones of China
    Chen, Yuehao
    Li, Mingcai
    Xiong, Mingming
    Cao, Jingfu
    Li, Ji
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2018, 27 (01): : 45 - 53
  • [8] Climate change impacts on extreme energy consumption of office buildings in different climate zones of China
    Li, Mingcai
    Shi, Jun
    Cao, Jingfu
    Fang, Xiaoyi
    Wang, Min
    Wang, Xin
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 140 (3-4) : 1291 - 1298
  • [9] The effects of climate change on heating energy consumption of office buildings in different climate zones in China
    Fanchao Meng
    Mingcai Li
    Jingfu Cao
    Ji Li
    Mingming Xiong
    Xiaomei Feng
    Guoyu Ren
    Theoretical and Applied Climatology, 2018, 133 : 521 - 530
  • [10] Climate change impacts on extreme energy consumption of office buildings in different climate zones of China
    Mingcai Li
    Jun Shi
    Jingfu Cao
    Xiaoyi Fang
    Min Wang
    Xin Wang
    Theoretical and Applied Climatology, 2020, 140 : 1291 - 1298