Analysis of the deployment scale and investment prediction of China’s coal power carbon capture technology under typical scenarios before 2050

J Jianfang Zong Q Qing Ding H Haitao Wang (Department of Central Laboratory, College & Hospital of Stomatology, Anhui Provincial Key Laboratory of Oral Diseases Research, Anhui Medical University) X Xinyu Cao (Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences) J Jie Wei (College of Energy, College of Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, School of Life Sciences, College of Physical Science and Technology, Discipline of Intelligent Instrument and Equipment, iChEM, Fujian Key Laboratory of Advanced Materials)

Abstract

This study evaluates the potential for green and low-carbon transformation in China’s coal-fired power sector by analyzing seven representative scenarios, including projections for total installed capacity, power generation, and coal-fired power metrics before 2050. Carbon emissions are estimated using a conversion factor of 0.899 kg CO₂ per kWh, while deployment scales and emission reduction potentials for carbon capture technologies are calculated based on IEA (2022) assumptions for low (30%) and high (90%) installation ratios. The study further quantifies installation and operational costs, investment requirements by 2050, and annual investments from 2030 to 2050 under both scenarios. Results demonstrate that high-proportion carbon capture deployment can significantly accelerate the sector’s low-carbon transition, fostering an emerging industry worth over 20 trillion yuan and delivering dual benefits of emissions reduction and economic growth. Policy support for large-scale implementation is critical. By pioneering multi-scenario modelling, this research systematically projects China’s coal-fired CCUS deployment needs under 1.5°C and 2°C climate targets, integrating IEA frameworks with domestic policy scenarios to assess industrial-scale potential and inform decision-making. This work provides the first systematic integration of IEA projections with China-specific policy scenarios, offering policymakers a framework to balance climate targets with energy transition realities.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 5
Published May 27, 2025
Pages e0324240
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (5)

J

Jianfang Zong

Q

Qing Ding

H

Haitao Wang

Department of Central Laboratory, College & Hospital of Stomatology, Anhui Provincial Key Laboratory of Oral Diseases Research, Anhui Medical University

X

Xinyu Cao

Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences

J

Jie Wei

College of Energy, College of Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, School of Life Sciences, College of Physical Science and Technology, Discipline of Intelligent Instrument and Equipment, iChEM, Fujian Key Laboratory of Advanced Materials