Systemic Risks of Excessive CCS Deployment in Power-Sector Decarbonization

Carbon capture and storage (CCS) is widely acknowledged as a key strategy for deep decarbonization of the power sector. However, the systemic risks associated with excessive CCS deployment remain underexplored, particularly in fossil-dependent economies like China. Using a scenario-driven integrated framework coupling the Global Change Assessment Model (GCAM) with an input-output model, we quantitatively evaluate the implications of excessive CCS adoption in China's power transition. Results indicate that excessive CCS deployment leads to a 14.63 petawatt-hour increase in thermal power generation by 2060, simultaneously causing a significant crowding-out of wind and solar capacity. This shift results in a 4,128 MtCO<sub>2</sub> emission rebound by 2060, exceeding 10 Gt by 2100─around 3% of the remaining carbon budget for the 1.5 °C target. Concurrently, air pollutant emissions, including CO, NO<i><sub>x</sub></i>, and SO<sub>2</sub> rise substantially, with CO annual emissions projected to double post-2050. Additionally, the pathway is projected to reduce employment by an additional 11 million and take up nearly a quarter of China's annual water use by 2060. Contrary to prevailing narratives emphasizing CCS cost-efficiency, this study highlights its structural trade-offs and underscores the need for system-wide optimization frameworks and adaptive governance mechanisms to ensure long-term sustainability.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2025-12-27
DOI
https://doi.org/10.1021/acs.est.5c10957
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systemic Risks of Excessive CCS Deployment in Power-Sector Decarbonization

Yang Ou, Nana Deng, Bo Wang, Zhaohua Wang et al.
Environmental Science & Technology
Integrated Energy Systems Optimization
article

Systemic Risks of Excessive CCS Deployment in Power-Sector Decarbonization

Yang Ou, Nana Deng, Bo Wang, Zhaohua Wang, Fuhua Nie
article en

Abstract

Carbon capture and storage (CCS) is widely acknowledged as a key strategy for deep decarbonization of the power sector. However, the systemic risks associated with excessive CCS deployment remain underexplored, particularly in fossil-dependent economies like China. Using a scenario-driven integrated framework coupling the Global Change Assessment Model (GCAM) with an input-output model, we quantitatively evaluate the implications of excessive CCS adoption in China's power transition. Results indicate that excessive CCS deployment leads to a 14.63 petawatt-hour increase in thermal power generation by 2060, simultaneously causing a significant crowding-out of wind and solar capacity. This shift results in a 4,128 MtCO<sub>2</sub> emission rebound by 2060, exceeding 10 Gt by 2100─around 3% of the remaining carbon budget for the 1.5 °C target. Concurrently, air pollutant emissions, including CO, NO<i><sub>x</sub></i>, and SO<sub>2</sub> rise substantially, with CO annual emissions projected to double post-2050. Additionally, the pathway is projected to reduce employment by an additional 11 million and take up nearly a quarter of China's annual water use by 2060. Contrary to prevailing narratives emphasizing CCS cost-efficiency, this study highlights its structural trade-offs and underscores the need for system-wide optimization frameworks and adaptive governance mechanisms to ensure long-term sustainability.

Environmental Science & TechnologyVol. 60(1)
Beijing Institute of Technology (CN), Ministry of Economy, Trade and Industry (JP), Peking University (CN), Intelligent Decision Systems (Spain) (ES), Ministry of Industry and Information Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.