Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics

Author:

Wu Zhenfen123,Wang Zhe123,Yang Qiliang123,Li Changyun4

Affiliation:

1. Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China

2. Yunnan Provincial Field Scientific Observation and Research Station on Water-Soil-Crop System in Seasonal Arid Region, Kunming University of Science and Technology, Kunming 650500, China

3. Yunnan Provincial Key Laboratory of High-Efficiency Water Use and Green Production of Characteristic Crops in Universities, Kunming University of Science and Technology, Kunming 650500, China

4. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

Abstract

In response to global climate change, China has committed to peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, commonly known as the “30–60 Dual Carbon”. Under the background of “30–60 Dual Carbon”, this article takes the electric power industry, which is the main industry contributing to China’s carbon emission, as the research object, explores the time and peak value of the carbon peak of the electric power industry, and analyzes whether carbon neutrality can be realized under the peak method, so as to get the carbon neutrality path of the electric power industry and serve as the theoretical basis for the formulation of relevant policies. The Environmental Kuznets Curve inspection and the relationship analysis are carried out, then the system dynamics model is constructed, the carbon emissions from 2020 to 2040 are simulated, and the peak time is predicted. Three different scenarios are set to explore the path of electricity carbon neutralization under the premise of a fixed peak. It is shown that Gross Domestic Product per capita index factors have the largest positive contribution, and thermal power share index factors have the largest negative contribution to electricity carbon emissions. Based on the current efforts of the new policy, carbon emissions can achieve the peak carbon emissions’ target before 2030, and it is expected to peak in 2029, with a peak range of about 4.95 billion tons. After the power industry peaks in 2029, i.e., Scenario 3, from coal 44%, gas 9% (2029) to coal 15%, gas 7% (2060), where the CCUS technology is widely used, this scenario can achieve carbon neutrality in electricity by 2060. Adjusting the power supply structure, strictly controlling the proportion of thermal power, optimizing the industrial structure, and popularization of carbon capture, utilization, and storage technology will all contribute to the “dual carbon” target of the power sector.

Funder

Applied Basic Research Key Project of Yunnan

Yunnan Science and Technology Talent and Platform Program

Yunnan Fundamental Research Projects

Yunnan Technology Innovation Center of Phosphorus Resource

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference34 articles.

1. Power Industry Carbon Emissions Prediction Based on System Dynamics;Wang;Smart Power,2016

2. Peak year prediction of Shanxi province’s carbon emission based on IPAT model and scenario analysis;Zhu;Resour. Sci.,2016

3. Scenario prediction and emission reduction potential assessment of China’s industrial carbon emissions peaking. China Population, Resources and Environment;Wang;China Popul. Resour. Environ.,2017

4. Carbon emissions and its peak prediction of thermal power industry in Guangdong province;Fu;Energy China,2016

5. A comparative study of stage characteristics and factorial decomposition of CO2 emissions between China and the USA;Zhang;Environ. Sci. Pollut. Res.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3