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Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II

Research Article

Simulation Analysis of Building Energy Consumption Based on Big Data and BIM Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-67874-6_43,
        author={Ma Xiao and Qiu Xin},
        title={Simulation Analysis of Building Energy Consumption Based on Big Data and BIM Technology},
        proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2021},
        month={1},
        keywords={Big data BIM technology Building energy consumption Numerical simulation},
        doi={10.1007/978-3-030-67874-6_43}
    }
    
  • Ma Xiao
    Qiu Xin
    Year: 2021
    Simulation Analysis of Building Energy Consumption Based on Big Data and BIM Technology
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-67874-6_43
Ma Xiao1,*, Qiu Xin1
  • 1: CCTEG Chongqing Engineering Co., Ltd.
*Contact email: mxiao2546@163.com

Abstract

In order to solve the problem of discrepancy between simulation results and measured results of building energy consumption simulation and analysis, a method based on big data and BIM technology is designed. The 3D building information model is constructed by BIM technology, and the factors affecting building energy consumption are obtained. The building energy consumption is simulated and predicted by heat balance method and Design Builder. Finally, data mining technology is used to modify the prediction results, and static energy analysis method is used to analyze the revised results. So far, the design of building energy consumption simulation and analysis method based on big data and BIM technology is completed. Compared with the original method, the simulation results of this method are close to the measured ones. In summary, the energy consumption simulation ability of this method is better than the original method.

Keywords
Big data BIM technology Building energy consumption Numerical simulation
Published
2021-01-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67874-6_43
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