Optimization of carbon peak path in Fujian Province based on sparrow search algorithm
In response to the urgent global challenge of carbon emission reduction, reliable pathways to carbon peaking are of significant importance for the implementation of carbon reduction in China. However, the process of carbon dioxide emissions involves numerous influencing factors, and the combinations...
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Editorial Office of Energy Environmental Protection
2024-06-01
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| Series: | 能源环境保护 |
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| Online Access: | https://eep1987.com/en/article/4954 |
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| author | CAI Huang LIN Xiaoyu* CAI Zhiling ZHONG Yiwen ZHONG Fenglin |
| author_facet | CAI Huang LIN Xiaoyu* CAI Zhiling ZHONG Yiwen ZHONG Fenglin |
| author_sort | CAI Huang |
| collection | DOAJ |
| description | In response to the urgent global challenge of carbon emission reduction, reliable pathways to carbon peaking are of significant importance for the implementation of carbon reduction in China. However, the process of carbon dioxide emissions involves numerous influencing factors, and the combinations of their change rates are diverse. Traditional scenario analysis methods only enumerate a limited number of possible scenarios and struggle to select the optimal combination of change rates. To address this, this paper takes Fujian Province as an example, and constructs an SSA-SVR (Sparrow Search Algorithm-Support Vector Regression) model based on the analysis of Fujian′s energy consumption and carbon emission data. The model comprehensively considers 14 key factors affecting carbon emissions and uses the SVR model to predict and verify Fujian′s carbon emissions from 1999 to 2022, ensuring the accuracy and reliability of the model. By optimizing the annual change rate combinations of these factors through the SSA algorithm, the study seeks to find possible pathways to meet the carbon peak target by 2030. The research finds that although there are significant differences in the carbon emissions of all explored pathways, they can all achieve a carbon peak by 2030. The experimental results also show that the SSA -SVR model can explore a variety of effective carbon peak pathways, providing policy makers with a diverse selection of emission reduction pathways and offering a scientific basis and strategic recommendations for the industrial sector of Fujian Province to achieve the carbon peak target. |
| format | Article |
| id | doaj-art-cde96ce334ce45dba4ba475fd63aee44 |
| institution | DOAJ |
| issn | 2097-4183 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | Editorial Office of Energy Environmental Protection |
| record_format | Article |
| series | 能源环境保护 |
| spelling | doaj-art-cde96ce334ce45dba4ba475fd63aee442025-08-20T03:17:56ZzhoEditorial Office of Energy Environmental Protection能源环境保护2097-41832024-06-0138317318310.20078/j.eep.20240406Optimization of carbon peak path in Fujian Province based on sparrow search algorithmCAI Huang0LIN Xiaoyu* 1CAI Zhiling2ZHONG Yiwen3ZHONG Fenglin41. College of Computer and Information Science, Fujian Agriculture and Forestry University; 2. Key Laboratory of Smart Agriculture and Forestry Fujian Agriculture and Forestry University, Fujian Province University1. College of Computer and Information Science, Fujian Agriculture and Forestry University; 2. Key Laboratory of Smart Agriculture and Forestry Fujian Agriculture and Forestry University, Fujian Province University1. College of Computer and Information Science, Fujian Agriculture and Forestry University; 2. Key Laboratory of Smart Agriculture and Forestry Fujian Agriculture and Forestry University, Fujian Province University1. College of Computer and Information Science, Fujian Agriculture and Forestry University; 2. Key Laboratory of Smart Agriculture and Forestry Fujian Agriculture and Forestry University, Fujian Province UniversityCollege of Horticulture, Fujian Agriculture and Forestry UniversityIn response to the urgent global challenge of carbon emission reduction, reliable pathways to carbon peaking are of significant importance for the implementation of carbon reduction in China. However, the process of carbon dioxide emissions involves numerous influencing factors, and the combinations of their change rates are diverse. Traditional scenario analysis methods only enumerate a limited number of possible scenarios and struggle to select the optimal combination of change rates. To address this, this paper takes Fujian Province as an example, and constructs an SSA-SVR (Sparrow Search Algorithm-Support Vector Regression) model based on the analysis of Fujian′s energy consumption and carbon emission data. The model comprehensively considers 14 key factors affecting carbon emissions and uses the SVR model to predict and verify Fujian′s carbon emissions from 1999 to 2022, ensuring the accuracy and reliability of the model. By optimizing the annual change rate combinations of these factors through the SSA algorithm, the study seeks to find possible pathways to meet the carbon peak target by 2030. The research finds that although there are significant differences in the carbon emissions of all explored pathways, they can all achieve a carbon peak by 2030. The experimental results also show that the SSA -SVR model can explore a variety of effective carbon peak pathways, providing policy makers with a diverse selection of emission reduction pathways and offering a scientific basis and strategic recommendations for the industrial sector of Fujian Province to achieve the carbon peak target.https://eep1987.com/en/article/4954carbon emission reductionscenario analysissparrow search algorithmcarbon peak pathway |
| spellingShingle | CAI Huang LIN Xiaoyu* CAI Zhiling ZHONG Yiwen ZHONG Fenglin Optimization of carbon peak path in Fujian Province based on sparrow search algorithm 能源环境保护 carbon emission reduction scenario analysis sparrow search algorithm carbon peak pathway |
| title | Optimization of carbon peak path in Fujian Province based on sparrow search algorithm |
| title_full | Optimization of carbon peak path in Fujian Province based on sparrow search algorithm |
| title_fullStr | Optimization of carbon peak path in Fujian Province based on sparrow search algorithm |
| title_full_unstemmed | Optimization of carbon peak path in Fujian Province based on sparrow search algorithm |
| title_short | Optimization of carbon peak path in Fujian Province based on sparrow search algorithm |
| title_sort | optimization of carbon peak path in fujian province based on sparrow search algorithm |
| topic | carbon emission reduction scenario analysis sparrow search algorithm carbon peak pathway |
| url | https://eep1987.com/en/article/4954 |
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