Optimization of peak path of industrial carbon emissions in Shanghai based on integrated intelligent algorithm

Xiaoye Lin

doi:10.1117/12.2687929

24 October 2023 Optimization of peak path of industrial carbon emissions in Shanghai based on integrated intelligent algorithm

Xiaoye Lin

Author Affiliations +

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128040S (2023) https://doi.org/10.1117/12.2687929
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

With the continuous advancement of industrialization, energy consumption is increasing, and carbon emissions are also rising, causing great harm to greenhouse gases and the environment. Based on the objectives of energy conservation and emission reduction, reducing pollutant generation and promoting sustainable economic development, it has become one of the important tasks for our society to increase industrial technology innovation to achieve low energy consumption and high efficiency. Based on Shanghai energy conservation and environmental protection industry as the research object, this paper uses integrated intelligent algorithm to model and analyze. Firstly, the grey system theory is used to build the model of influencing factors and ways of carbon emissions of low-energy industrial enterprises in Shanghai, and then the ant colony optimization method is used to build the distribution map of CO2 emission intensity in the nuclear fusion chemical project in Shanghai society to predict the carbon source value and calculate the carbon dioxide emission reduction. From the experimental results, it can be seen that the optimization efficiency of Shanghai's industrial carbon emission peak path model by integrating intelligent algorithms is in the range of 55% - 72%, the carbon emissions before optimization are 5678kg - 6735kg, and the carbon emissions after optimization are 3673kg - 4231kg. This shows that the optimization model meets the needs of users.

Citation Download Citation

Xiaoye Lin "Optimization of peak path of industrial carbon emissions in Shanghai based on integrated intelligent algorithm", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128040S (24 October 2023); https://doi.org/10.1117/12.2687929

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