LAPSE:2023.36809
Published Article
LAPSE:2023.36809
Optimization of Cost−Carbon Reduction−Technology Solution for Existing Office Parks Based on Genetic Algorithm
Zhenlan Dou, Lu Jin, Yinhui Chen, Zishuo Huang
September 21, 2023
With limited investment costs, how to fully utilize the carbon-reduction capacity of a campus in terms of buildings, equipment, and energy is an important issue when realizing the low-carbon retrofit of office parks. To this end, this paper establishes a mathematical optimization model for the decarbonization-based retrofit of existing office parks, based on the genetic algorithm, taking into account the relationship between cost, energy-consumption, and carbon-emissions, and taking the maximum carbon reduction of the park over its whole life as the optimization goal. The validity of the model was verified in conjunction with a case study of an office park in Nanchang, China. The case study shows that, compared with current typical parks, the carbon reduction through an office park’s decarbonization retrofit has a non-linear correlation with the investment cost, and when the total investment cost of the park is above CNY 60 million, the increase in carbon reduction with the increase in the investment cost is gradually weakened, and the park achieves the maximum carbon reduction of 236,087 t when the investment cost reaches CNY 103 million. Under the current technical and economic conditions, the investment-cost−carbon-reduction benefits of different carbon-reduction technologies are different, the carbon-reduction benefit of increasing renewable energy utilization is the best, and the carbon-reduction benefit of upgrading the energy efficiency of the park’s supply-and-use system is lower than that of renewable energy utilization, but better than that of upgrading the performance of the building envelope system. In addition, the configuration of the parameters of the same low-carbon technology in different forms of buildings varies significantly, due to differences in the building form and daily use. The model established in this paper is able to give a comprehensive optimized building−equipment−energy configuration plan for existing office parks, when maximizing carbon reduction under different investment costs, which guides the park’s decarbonization retrofit.
Keywords
carbon reduction, cost benefits, existing office parks, Genetic Algorithm, retrofit, whole life cycle
Suggested Citation
Dou Z, Jin L, Chen Y, Huang Z. Optimization of Cost−Carbon Reduction−Technology Solution for Existing Office Parks Based on Genetic Algorithm. (2023). LAPSE:2023.36809
Author Affiliations
Dou Z: State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China
Jin L: China Electric Power Research Institute, Beijing 100192, China
Chen Y: College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Huang Z: College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Journal Name
Processes
Volume
11
Issue
8
First Page
2452
Year
2023
Publication Date
2023-08-15
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11082452, Publication Type: Journal Article
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LAPSE:2023.36809
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doi:10.3390/pr11082452
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Sep 21, 2023
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Sep 21, 2023
 
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Calvin Tsay
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