Energy Conservation and Emissions Reduction Policy Simulation about Energy-consuming Enterprises

Authors

Yongbo Yang, Sichuan Electric Power Research Institute, Chengdu 610072, China;
Chen Ying, Sichuan Electric Power Research Institute, Chengdu 610072, China;
Yang Jing, Sichuan Electric Power Research Institute, Chengdu 610072, China;
Mingzhong Liu, Sichuan Electric Power Research Institute, Chengdu 610072, China;
Zhenchao Jiang, Sichuan Electric Power Research Institute, Chengdu 610072, China;
Zeng Rong, Sichuan Electric Power Research Institute, Chengdu 610072, China;

Abstract

Abstract: Energy conservation and emissions reduction policy have made some achievements, at the same time there are still some problem such as too much administrative command, lack of market mechanism and the lack of price mechanism. The government is both energy conservation leader, supervisor also rule makers. In order to formulate energy conservation policy, they must have overall cognition on energy conservation and emissions reduction. The dynamic relationship between the government, enterprise and environment was analyzed setting up simulation model for key energy-consuming enterprises based on system dynamics. Through the simulation, the influence of different policies for energy conservation and emissions reduction effect could be studied, providing certain reference basis for the government decisions.

Recommended Citation

Yang, Yongbo; Ying, Chen; Jing, Yang; Liu, Mingzhong; Jiang, Zhenchao; and Rong, Zeng (2020) "Energy Conservation and Emissions Reduction Policy Simulation about Energy-consuming Enterprises," Journal of System Simulation: Vol. 28: Iss. 4, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss4/28

First Page

972

Revised Date

2015-04-01

DOI Link

https://doi.org/

Last Page

978

CLC

TP391.9

Recommended Citation

Yang Yongbo, Chen Ying, Yang Jing, Liu Mingzhong, Jiang Zhenchao, Zeng Rong. Energy Conservation and Emissions Reduction Policy Simulation about Energy-consuming Enterprises[J]. Journal of System Simulation, 2016, 28(4): 972-978.