OPTIMIZATION MODEL OF CARBON EMISSION BENEFITS IN INDUSTRIAL PARKS CONSIDERING CONSUMPTION OF RENEWABLE ENERGY

Liu Xinyue; Wang Guo; Min Yongzhi

doi:10.19912/j.0254-0096.tynxb.2023-0165

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (6) : 140-149. DOI: 10.19912/j.0254-0096.tynxb.2023-0165

OPTIMIZATION MODEL OF CARBON EMISSION BENEFITS IN INDUSTRIAL PARKS CONSIDERING CONSUMPTION OF RENEWABLE ENERGY

Liu Xinyue, Wang Guo, Min Yongzhi

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Abstract

In order to achieve the comprehensive analysis and optimal choice of carbon emission allowance purchase schemes for industrial parks under the background of renewable energy consumption guarantee mechanism, this paper establishes a carbon emission benefit optimization model for industrial parks. Specifically, the industrial park after carbon asset accounting is taken as the subject of the study, and considering the weight of renewable energy consumption responsibility, with the minimum expenditure of carbon emission and the maximum renewable energy consumption as the objective functions, and a carbon emission optimization model with both economic and ecological benefits is finally constructed. In addition, we conducted a sensitivity analysis was conducted on the influence factors of enterprise type and carbon emission index, and used the improved NSGA-Ⅱ algorithm was uds to realize the solution and optimization of the model. Finally, the arithmetic analysis shows that the optimization model can effectively reduce the expenditure on purchasing carbon missions in the industrial park and increase the amount of renewable energy consumption in the park, and ensure the economy and low-carbon of the park.

Key words

carbon emissions / renewable energy / sensitivity analysis / benefit maximization / improved NSGA-Ⅱ algorithm / industrial park

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Liu Xinyue, Wang Guo, Min Yongzhi. OPTIMIZATION MODEL OF CARBON EMISSION BENEFITS IN INDUSTRIAL PARKS CONSIDERING CONSUMPTION OF RENEWABLE ENERGY[J]. Acta Energiae Solaris Sinica. 2024, 45(6): 140-149 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0165

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