<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for low-carbon operation of smart parks with economy, independence, and carbon emissions as objective functions, and constrains them from four aspects: power grid, natural gas pipeline network, equipment output, and energy storage battery limit. The problem can be solved using the sparrow optimization algorithm. Finally, the carbon emissions, power dispatching, and power consumption of the sample parks under the low-carbon operation control mode were analyzed. The results show that the carbon emissions of the park are reduced by 2035.93kg, and the total operating cost is reduced by 1680.11 yuan during the typical daily operation in summer after the intelligent optimization algorithm is used. The park’s carbon emissions decreased by 1686.53kg, and the total operating cost decreased by 1582.42 yuan during the typical daily operation in winter. The importance of this study lies in the low-carbon and modernization of smart parks.</p>
</abstract>

This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for low-carbon operation of smart parks with economy, independence, and carbon emissions as objective functions, and constrains them from four aspects: power grid, natural gas pipeline network, equipment output, and energy storage battery limit. The problem can be solved using the sparrow optimization algorithm. Finally, the carbon emissions, power dispatching, and power consumption of the sample parks under the low-carbon operation control mode were analyzed. The results show that the carbon emissions of the park are reduced by 2035.93kg, and the total operating cost is reduced by 1680.11 yuan during the typical daily operation in summer after the intelligent optimization algorithm is used. The park’s carbon emissions decreased by 1686.53kg, and the total operating cost decreased by 1582.42 yuan during the typical daily operation in winter. The importance of this study lies in the low-carbon and modernization of smart parks.

Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for...

Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms

Publié en ligne: 03 juin 2024

Pages: -

Reçu: 02 mars 2024

Accepté: 08 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1311

Mots clés
Intelligent optimization algorithm, Linear programming model, Sparrow optimization algorithm, Objective function, Smart parks

© 2024 Wenguang Zhao, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms

Publié en ligne: 03 juin 2024

Pages: -

Reçu: 02 mars 2024

Accepté: 08 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1311

Mots clésIntelligent optimization algorithm, Linear programming model, Sparrow optimization algorithm, Objective function, Smart parks

© 2024 Wenguang Zhao, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Intelligent optimization algorithm, Linear programming model, Sparrow optimization algorithm, Objective function, Smart parks