ORIGINAL RESEARCH
Prediction and Control Model of Carbon Emissions
from Thermal Power Based on System Dynamics
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School of Economics, Management and Law, University of South China, Hengyang 421000, China
Submission date: 2020-12-23
Final revision date: 2021-03-29
Acceptance date: 2021-04-08
Online publication date: 2021-09-10
Publication date: 2021-12-02
Corresponding author
Tian Xie
School of Economics, Management and Law, University of South China, Hengyang, China
Pol. J. Environ. Stud. 2021;30(6):5465-5477
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ABSTRACT
Thermal power is the main part in China’s energy structure of power industry. Because of huge
carbon emissions and relatively high energy consumption, thermal power has been listed as an
important industry for energy conservation and emission reduction. Therefore, the growth rate, carbon
emissions growth peak and developing trend of China’s thermal power are modeled and simulated
based on System Dynamics. With three scenarios set up, so as to explore the impact of the economic
development, optimization of power structure and improve CCS technology and adjust national policy
on carbon emissions thermal power industry in the future. The results show that, according to the
current development trend, the total amount of carbon emissions in thermal power industry will reach
a peak of 4.228 billion t in 2026. At the same time, there is a significant positive correlation between
economic development and thermal power carbon emissions. The current best and fastest way for China
is reducing the proportion of thermal power generation and increasing the proportion of non-fossil
power generation. The widespread use of the CCS technology will also greatly reduce thermal power
carbon emissions. The simulation results of this paper provide the Chinese government with suggestions
for carbon emissions reduction, power structure determination, the long-time development of thermal
power.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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