CALCULATION AND EVALUATION OF BUILDING THERMAL ENERGY CONSUMPTION AND CARBON EMISSIONS BASED ON BIM TECHNOLOGY

被引:2
|
作者
Chen, Feifei [1 ]
Yang, Yang [2 ,3 ,4 ]
LI, Jing [1 ]
Tian, Aruomeng [4 ]
机构
[1] Shijiazhuang Inst Railway Technol, Shijiazhuang, Hebei, Peoples R China
[2] Hebei Univ Sci & Technol, Shijiazhuang, Hebei, Peoples R China
[3] Innovat Ctr Disaster Prevent & Mitigat Technol Geo, Shijiazhuang, Hebei, Peoples R China
[4] Engn Technol Res Ctr Intelligent & Low Carbon Asse, Shijiazhuang, Hebei, Peoples R China
来源
THERMAL SCIENCE | 2023年 / 27卷 / 2A期
关键词
BIM; building construction; carbon emission accounting; low carbon development;
D O I
10.2298/TSCI2302223C
中图分类号
O414.1 [热力学];
学科分类号
摘要
In order to calculate the carbon emissions in the construction process to achieve low-carbon buildings and low-carbon construction, the author puts forward the calculation and evaluation of building thermal energy consumption and carbon emissions based on building information modeling (BIM) technology. The author first proposed the important value and application of BIM technology in energy consumption evaluation of green buildings, taking a gymnasium as an example, a carbon emission accounting system for building construction and installation process is established based on BIM technology, and the carbon emissions in building construction and installation process are calculated and analyzed. The results show that the carbon emission during the construction and installation of a gymnasium is 766300 tons, of which the carbon emission caused by building materials is 737200 tons, the carbon emission caused by mechanical equipment is 4500 tons, and that caused by office and living is 34500 tons, accounting for 94.90%, 0.59%, and 4.51%, respectively. In conclusion through data analysis, determine the largest carbon emission source in the construction process, and then propose targeted carbon emission reduction measures in the construction process of the construction industry.
引用
收藏
页码:1223 / 1230
页数:8
相关论文
共 50 条
  • [41] Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization
    Xi JI
    Zhanming CHEN
    Jinkai LI
    Frontiers of Earth Science, 2014, 8 (01) : 32 - 43
  • [42] Analysis of the Energy Consumption Structure in Shanxi Province Based on Carbon Emissions
    Li, Jinjian
    Zhang, Yan
    Liu, Gengyuan
    Zheng, Hongmei
    Xia, Linlin
    Sun, Xiaoxi
    JOURNAL OF ENVIRONMENTAL ACCOUNTING AND MANAGEMENT, 2016, 4 (01) : 23 - 36
  • [43] Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization
    Xi Ji
    Zhanming Chen
    Jinkai Li
    Frontiers of Earth Science, 2014, 8 : 32 - 43
  • [44] Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization
    Ji, Xi
    Chen, Zhanming
    Li, Jinkai
    FRONTIERS OF EARTH SCIENCE, 2014, 8 (01) : 32 - 43
  • [45] Benchmarking Evaluation of Building Energy Consumption Based on Data Mining
    Wu, Thomas
    Wang, Bo
    Zhang, Dongdong
    Zhao, Ziwei
    Zhu, Hongyu
    SUSTAINABILITY, 2023, 15 (06)
  • [46] Building BIM Energy Consumption Prediction Based On Intelligent Computing Wavelet Neural Networks
    Zou, Ji-Xue
    Hu, Wu-Chih
    Manjunath, Guruprasad
    Journal of Network Intelligence, 2024, 9 (02): : 716 - 730
  • [47] Evaluation of energy use intensity (EUI) and energy cost of commercial building in India using BIM technology
    Mahiwal S.G.
    Bhoi M.K.
    Bhatt N.
    Asian Journal of Civil Engineering, 2021, 22 (5) : 877 - 894
  • [48] Calculation and decomposition model of carbon emissions from transportation energy consumption in Jiangsu province, China
    He, Meiling
    Jing, Peng
    Wu, Xiaohui
    Hu, Qifan
    Energy Education Science and Technology Part A: Energy Science and Research, 2014, 32 (05): : 4423 - 4430
  • [49] Green Evaluation for Building Interior Decoration Based on BIM-BN Technology
    Fan, Wenhan
    Yan, Baofeng
    Bao, Quanxi
    Zhao, Yueqin
    Zhou, Jianliang
    BUILDINGS, 2023, 13 (03)
  • [50] Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II
    Hosamo, Haidar Hosamo
    Tingstveit, Merethe Solvang
    Nielsen, Henrik Kofoed
    Svennevig, Paul Ragnar
    Svidt, Kjeld
    ENERGY AND BUILDINGS, 2022, 277