Keywords
electric-power industry, Tapio decoupling model, LMDI model
Abstract
With the increasingly serious problem of industrial carbon emissions, the total carbon emissions of the power industry account for the first in China's total emissions, and controlling carbon emissions of power industry is an important measure to promote the peak of carbon emissions in China as soon as possible. Low-carbon transformation of power industry is the key to reduce global carbon dioxide emissions. This paper focuses on the upstream power generation end of the power industry, supplemented by the midstream transmission end and the downstream demand end, to study the problem of decarbonization in the power industry. Firstly, the decision-making model is constructed by combining the main ways of carbon emission in all links of the power industry. Secondly, energy consumption, power generation and operating income are selected as preliminary indicators to measure carbon emissions, and the panel data of 20 typical power companies in China from 2015 to 2022 are obtained. Tapio decoupling model is used to measure the correlation between carbon emissions and the experienced growth of the power industry, and LMDI model is used to explore the influence mechanism of carbon emissions. Analyze the carbon emissions of the power industry from the supply side to the transmission side and then to the demand side. The results show that: The economic growth and carbon emissions of the power industry have been negatively decoupled in recent three years. ; Among the 20 enterprises, except Huaneng International, the total trend of carbon emissions of the other 19 enterprises is increasing, and most enterprises are in the state of negative decoupling or growth connection, among which Guodian Power is the most unsatisfactory state; The carbon emission reduction measures of Huadian International, which maintains a good decoupling state, are studied, and it is found that green transformation and energy structure optimization of enterprises can effectively achieve carbon emission reduction and promote sustainable and healthy development of enterprises; National enterprises should first reduce the growth rate of carbon e- missions in an orderly manner, and then gradually carry out green transformation. Regional enterprises should form a virtuous circle between economic growth and the development of renewable energy, and gradually carry out green transformation while improving the economic strength of enterprises; Energy structure and power generation benefit are the main decoupling factors of carbon emission growth in power industry, and the growth of energy intensity and power generation scale can effectively reduce carbon emission in power industry. Finally, specific decarbonization paths are proposed from the upstream supply end, the midstream transmission end and the downstream demand end, with a view to helping the whole chain carbon emission decoupling of the power industry. For the upstream power generation end, carbon emissions are mainly reduced by improving the energy structure and improving energy efficiency. In particular, power generation enterprises need to gradually carry out green transformation to form a power generation form and energy structure based on renewable energy and coordinated by various energy sources as a whole; For the midstream transmission end, it is necessary to upgrade the transmission technology and improve the electrical components to optimize the power network and improve the efficiency of power transmission; For the downstream demand end, it is necessary to encourage the use of clean energy by users, while focusing on the optimization of the green power trading market and improving energy efficiency.
DOI
10.16315/j.stm.2024.01.008
Recommended Citation
YU, Chengxue; WU, Wanying; and ZHANG, Zhendong
(2024)
"Study on the path of carbon decoupling in power industry,"
Journal of Science and Technology Management: Vol. 26:
Iss.
1, Article 9.
DOI: 10.16315/j.stm.2024.01.008
Available at:
https://jstm.researchcommons.org/journal/vol26/iss1/9
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.