Title: A method for monitoring energy consumption data of near-zero energy buildings based on BIM technology

Authors: Ye Liao

Addresses: School of Intelligent Manufacturing and Building Engineering, Yongzhou Vocational and Technical College, Yongzhou, Hunan, China

Abstract: In order to improve the accuracy, this paper proposes a monitoring method for energy consumption data of near-zero energy buildings based on BIM technology. Firstly, a near-zero energy consumption building BIM model database including family file library and database is established. Secondly, the three-dimensional BIM model is constructed using Ecotect Analysis software. Then, the building energy consumption data output from the BIM model is analysed with the decision tree analysis of algorithms. Finally, the momentum factor is used to optimise the BP neural network model, and the processed energy consumption data is used as the input of the BP neural network to output the monitoring results of near-zero energy consumption building energy consumption data. The experimental results show that the application of this method can accurately monitor short-term energy consumption data for buildings with near-zero energy consumption, and its monitoring error is less than 15 kW h, which has great application value.

Keywords: BIM technology; near-zero energy consumption buildings; energy consumption data; monitoring methods; family file library; momentum factor.

DOI: 10.1504/IJGEI.2025.145981

International Journal of Global Energy Issues, 2025 Vol.47 No.3, pp.243 - 263

Received: 26 May 2023
Accepted: 09 Nov 2023
Published online: 01 May 2025 *

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