Title: Research on emission reduction potential prediction method under green building planning based on multi-factor analysis

Authors: Huanan Liang; Zhibin Xu

Addresses: Department of Architectural Engineering, Luohe Vocational Technology College, Luohe, Henan, China ' Department of Architectural Engineering, Luohe Vocational Technology College, Luohe, Henan, China

Abstract: In order to overcome the problem of large prediction error of traditional methods, a prediction method of green building emission reduction potential based on multi-factor analysis is proposed. The capacity forecast is divided into four stages: building materials transportation, construction, operation and maintenance, and demolition and recycling. The energy consumption of construction equipment is calculated by the rated estimation method, the carbon emission in the operation, maintenance and demolition and recycling stage is calculated and the weight of emission reduction potential index is calculated by the deviation maximisation method. Build a carbon emission prediction model and substitute the above results into the model to realise the multi-factor analysis of emission reduction potential prediction. The experimental results show that the prediction error of emission reduction potential of this method is only 1.032%, which shows that the prediction effect of emission reduction potential of this method is good.

Keywords: green building planning; emission reduction potential; prediction; multiple factors; weight; correlation.

DOI: 10.1504/IJGEI.2023.130681

International Journal of Global Energy Issues, 2023 Vol.45 No.3, pp.273 - 287

Received: 30 Dec 2021
Accepted: 01 Jun 2022
Published online: 02 May 2023 *

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