Monte Carlo dynamic assessment of dual carbon effect in Dongguan
Dongguan is one of the most developed manufacturing regions in China, and effective control of the “dual carbon” goal is crucial for this area. This study applies linear programming and the Monte Carlo method to build a platform that monitors carbon dioxide emissions from various industries in real...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01006.pdf |
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| _version_ | 1849430365879402496 |
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| author | Young Lih-jier Zhou Yuzhou Zhang Huicheng Jian Changhao Zhang Fuyuan Wei Zemeng |
| author_facet | Young Lih-jier Zhou Yuzhou Zhang Huicheng Jian Changhao Zhang Fuyuan Wei Zemeng |
| author_sort | Young Lih-jier |
| collection | DOAJ |
| description | Dongguan is one of the most developed manufacturing regions in China, and effective control of the “dual carbon” goal is crucial for this area. This study applies linear programming and the Monte Carlo method to build a platform that monitors carbon dioxide emissions from various industries in real time. By inputting relevant parameters, the platform dynamically analysisCO2 levels in the atmosphere. Results indicate that by 2060, CO2 levels could reach 34.7 million tons before achieving neutrality. The platform can estimate timelines for achieving carbon peaking and neutrality. |
| format | Article |
| id | doaj-art-37acd52eb0ca43b6a9d91be0aeb86bef |
| institution | Kabale University |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-37acd52eb0ca43b6a9d91be0aeb86bef2025-08-20T03:28:01ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013320100610.1051/epjconf/202533201006epjconf_icpms2025_01006Monte Carlo dynamic assessment of dual carbon effect in DongguanYoung Lih-jier0Zhou Yuzhou1Zhang Huicheng2Jian Changhao3Zhang Fuyuan4Wei Zemeng5Department of Intelligent Manufacturing, Elite Engineers College, Dongguan University of TechnologyDepartment of Computer Science and Technology, Elite Engineers College, Dongguan University of TechnologyDepartment of Computer Science and Technology, Elite Engineers College, Dongguan University of TechnologyDepartment of Computer Science and Technology, Elite Engineers College, Dongguan University of TechnologyDepartment of Computer Science and Technology, Elite Engineers College, Dongguan University of TechnologyDepartment of Intelligent Manufacturing, Elite Engineers College, Dongguan University of TechnologyDongguan is one of the most developed manufacturing regions in China, and effective control of the “dual carbon” goal is crucial for this area. This study applies linear programming and the Monte Carlo method to build a platform that monitors carbon dioxide emissions from various industries in real time. By inputting relevant parameters, the platform dynamically analysisCO2 levels in the atmosphere. Results indicate that by 2060, CO2 levels could reach 34.7 million tons before achieving neutrality. The platform can estimate timelines for achieving carbon peaking and neutrality.https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01006.pdf |
| spellingShingle | Young Lih-jier Zhou Yuzhou Zhang Huicheng Jian Changhao Zhang Fuyuan Wei Zemeng Monte Carlo dynamic assessment of dual carbon effect in Dongguan EPJ Web of Conferences |
| title | Monte Carlo dynamic assessment of dual carbon effect in Dongguan |
| title_full | Monte Carlo dynamic assessment of dual carbon effect in Dongguan |
| title_fullStr | Monte Carlo dynamic assessment of dual carbon effect in Dongguan |
| title_full_unstemmed | Monte Carlo dynamic assessment of dual carbon effect in Dongguan |
| title_short | Monte Carlo dynamic assessment of dual carbon effect in Dongguan |
| title_sort | monte carlo dynamic assessment of dual carbon effect in dongguan |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/17/epjconf_icpms2025_01006.pdf |
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