DYNAMIC OPTIMIZATION OF LAYOUT OF CONSTRUCTION WASTE RECYCLING FACILITIES: A CASE STUDY OF XINING, CHINA

WU Kunlun; GONG Zhiqi; WU Jia

doi:10.13205/j.hjgc.202306026

Volume 41 Issue 6

Jun. 2023

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WU Kunlun, GONG Zhiqi, WU Jia. DYNAMIC OPTIMIZATION OF LAYOUT OF CONSTRUCTION WASTE RECYCLING FACILITIES: A CASE STUDY OF XINING, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 194-201,258. doi: 10.13205/j.hjgc.202306026

Citation:

WU Kunlun, GONG Zhiqi, WU Jia. DYNAMIC OPTIMIZATION OF LAYOUT OF CONSTRUCTION WASTE RECYCLING FACILITIES: A CASE STUDY OF XINING, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 194-201,258. doi: 10.13205/j.hjgc.202306026

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DYNAMIC OPTIMIZATION OF LAYOUT OF CONSTRUCTION WASTE RECYCLING FACILITIES: A CASE STUDY OF XINING, CHINA

doi: 10.13205/j.hjgc.202306026

WU Kunlun¹,
GONG Zhiqi^{1,2
,
,},
WU Jia¹

1. School of Civil Engineering, Qinghai University, Xining 810016, China;
2. Key Laboratory of Energy-saving Building Materials and Engineering Safety of Qinghai, Xining 810016, China

Received Date: 2022-09-13
Available Online: 2023-09-02

Abstract

Abstract

The layout of construction waste recycling facilities is the key to the construction of waste recycling network. In order to realize the multi-cycle consideration of facility location layout, a time-sharing evolution planning method was proposed, which integrated the facility processing capacity, social negative effect and construction waste production characteristics in different periods, and established a multi-objective programming model to minimize the regional economic cost and environmental negative impact. The genetic algorithm was used to solve the problem intelligently, and the dynamic optimization scheme of the facility location layout was obtained. Taking the main urban area of Xining as an example, a three-period construction waste recycling facility network was established to verify the effectiveness of the model. The results showed that the candidate points at B2 and B3 in stage t₁ (2020), and B2, B3 and B5 in stage t₂ (2025) and t₃ (2030) were the optimal location, and the fitness values converged to 3.7925×10⁸, 4.392×10⁸ and 5.0205×10⁸, respectively. This model can effectively balance the contradiction between economy and environment in facility location layout, and realize the dynamic optimization of facility location. The research provides certain reference for government and other relevant decision-makers to construct regional construction waste recycling facility networks.
- construction waste,
- facility layout,
- dynamic optimization,
- genetic algorithm

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References(25)

References

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