https://doi.org/10.1051/epjconf/202533201006
Monte Carlo dynamic assessment of dual carbon effect in Dongguan
1 Department of Intelligent Manufacturing, Elite Engineers College, Dongguan University of Technology, Dongguan, China
2 Department of Computer Science and Technology, Elite Engineers College, Dongguan University of Technology
* Corresponding author's email: young@dgut.edu.cn
Published online: 9 July 2025
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
