Next Article in Journal
Electric Circuit Model for the Aerodynamic Performance Analysis of a Three-Blade Darrieus-Type Vertical Axis Wind Turbine: The Tchakoua Model
Next Article in Special Issue
The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data
Previous Article in Journal
Droop Control Design of Multi-VSC Systems for Offshore Networks to Integrate Wind Energy
Previous Article in Special Issue
Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China
Open AccessArticle

CO2 Emissions from China’s Power Industry: Scenarios and Policies for 13th Five-Year Plan

by Wei Sun 1,*, Ming Meng 1, Yujun He 2 and Hong Chang 3,*
1
School of Economics and Management, North China Electric Power University, Baoding 071003, Hebei, China
2
Department of Electronic & Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China
3
Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai 200237, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Vincenzo Dovì and Antonella Battaglini
Energies 2016, 9(10), 825; https://doi.org/10.3390/en9100825
Received: 22 July 2016 / Revised: 22 September 2016 / Accepted: 8 October 2016 / Published: 14 October 2016
(This article belongs to the Special Issue Energy Policy and Climate Change 2016)
The extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model has been applied to analyzing the relationship between CO2 emissions from power industry and the influential factors for the period from 1997 to 2020. The two groups found through partial least square (PLS) regularity test show two important areas for CO2 emissions reduction from the power industry: economic activity and low-carbon electric technology. Moreover, considering seven influential factors (economic activity, population, urbanization level, industrial structure, electricity intensity, generation structure, and energy intensity) that affect the power CO2 emissions and the practical situation in the power sector, possible development scenarios for the 13th Five-Year Plan period were designed, and the corresponding CO2 emissions from the power sector for different scenarios were estimated. Through scenario analysis, the potential mitigation of emissions from power industry can be determined. Moreover, the CO2 emissions reduction rates in the different scenarios indicate the possible low-carbon development directions and policies for the power industry during the period of the 13th Five Year Plan. View Full-Text
Keywords: CO2 emissions; power industry; PLS; scenario design CO2 emissions; power industry; PLS; scenario design
Show Figures

Figure 1

MDPI and ACS Style

Sun, W.; Meng, M.; He, Y.; Chang, H. CO2 Emissions from China’s Power Industry: Scenarios and Policies for 13th Five-Year Plan. Energies 2016, 9, 825.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop