Title: A low carbon treatment technology of green building construction waste based on genetic algorithm

Authors: Jinhua Kang; Guanglei Zhao

Addresses: School of Civil Engineering, Henan Vocational University of Science and Technology, Zhoukou 466000, China ' School of Civil Engineering, Henan Vocational University of Science and Technology, Zhoukou 466000, China

Abstract: In this paper, a low-carbon treatment method of green construction waste based on genetic algorithm is proposed in this paper. Firstly, the group organisation method is used to search in the search solution space to calculate the carbon emission of green building construction waste. According to the calculation method of carbon emissions, the product of activity data and emissions is obtained. Then, through the model objectives and constraints, a single cycle multi-objective mathematical model with waste treatment cost and low-carbon emission as the objective function is established. Finally, the genetic algorithm is used to solve the model to realise the low-carbon treatment of green building construction waste. The experimental results show that the proposed low-carbon treatment time of green building waste is only 16.7 s and the carbon emission is only 0.13 g, which can effectively improve the low-carbon treatment efficiency of green building waste.

Keywords: genetic algorithm; emission factor method; green building; construction waste; low-carbon treatment.

DOI: 10.1504/IJGEI.2023.132012

International Journal of Global Energy Issues, 2023 Vol.45 No.4/5, pp.408 - 420

Received: 14 Mar 2022
Accepted: 27 Jul 2022
Published online: 06 Jul 2023 *

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