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

Xiao, Ma / Xin, Qiu

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.

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

Xiao, Ma / Xin, Qiu

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.

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

Xiao, Ma / Xin, Qiu

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.

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Title:

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

Additional title:

Lect.Notes Social.Inform.

Contributors:

Liu, Shuai (editor) / Xia, Liyun (editor) / Xiao, Ma (author) / Xin, Qiu (author)

Conference:

International Conference on Advanced Hybrid Information Processing ; 2020 ; Binzhou, China

Published in:

Advanced Hybrid Information Processing ; Chapter: 43 ; 463-474

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 348

Publication date:

2021-01-29

Size:

12 pages

ISBN:

978-3-030-67874-6 , 978-3-030-67873-9

ISSN:

1867-822X , 1867-8211

DOI:

https://doi.org/10.1007/978-3-030-67874-6_43

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Big data , BIM technology , Building energy consumption , Numerical simulation Computer Science , Data Mining and Knowledge Discovery , Artificial Intelligence , Computer Systems Organization and Communication Networks , Database Management , Data Structures and Information Theory

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