Author
Listed:
- Shangyi Shen
(Beijing Institute of Metrology)
- Susu Pan
(Beijing Institute of Metrology)
- Luan Guo
(Beijing Institute of Metrology)
- Qingbin Lv
(Beijing Institute of Metrology)
- Haixin Lai
(Beijing Institute of Metrology)
- Yang Yang
(Beijing Institute of Metrology)
- Meitong Hu
(Beijing Institute of Metrology)
Abstract
In terms of carbon emission monitoring, China started late and has not yet formed a perfect standard system, but in the power industry, it has begun to promote continuous monitoring of greenhouse gas emissions based on stationary source flue gas. In terms of carbon measurement, the State Council has successively issued the Action Plan for Carbon Peaking Before 2030 and the Measurement Development Plan (2021–2035), emphasizing the improvement of the measurement and monitoring system to provide support for greenhouse gas emissions. In this study, the current situation and challenges of carbon emission monitoring system and measurement needs of industrial enterprises in China are deeply analyzed. In addition, the advantages and disadvantages of common automatic greenhouse gas monitoring techniques, including gas chromatography, non-dispersive infrared and Fourier transform infrared spectroscopy, were introduced in detail. Finally, suggestions are put forward for development needs, emphasizing measures such as unifying industry standards, formulating incentive policies, improving data accuracy, and improving the management platform. This paper provides an in-depth and professional research foundation for the carbon emission monitoring system of industrial enterprises, and provides strong support for relevant policy formulation and technology research and development in the future.
Suggested Citation
Shangyi Shen & Susu Pan & Luan Guo & Qingbin Lv & Haixin Lai & Yang Yang & Meitong Hu, 2025.
"Carbon Emission Monitoring System and Measurement Needs of Industrial Enterprises,"
Advances in Economics, Business and Management Research, in: Soon M. Chung & Fairouz Kamareddine & Azah Kamilah Draman & Sim Kwan Yong (ed.), Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), pages 282-296,
Springer.
Handle:
RePEc:spr:advbcp:978-94-6463-656-7_28
DOI: 10.2991/978-94-6463-656-7_28
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