Technology interactions reshape the economics of China's coal power decarbonization

📅 2026-08-11
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This study identifies the cost-optimal decarbonization pathway for China’s coal-fired power system under the synergistic deployment of multiple emission reduction technologies. To this end, an optimization model incorporating plant-level heterogeneity and shared resource constraints—specifically biomass availability and CO₂ storage capacity—is developed to systematically quantify, for the first time, the interaction effects among energy efficiency retrofits, biomass co-firing, and carbon capture on marginal abatement costs and technology portfolios. The results indicate that approximately 1.2 Gt CO₂ per year of emissions reductions can be achieved at negative marginal cost, with a marginal cost of $56 per ton CO₂ for achieving carbon neutrality. In deep decarbonization phases, the optimal pathway shifts from efficiency improvements to biomass co-firing and ultimately relies on biomass-integrated carbon capture to deliver net-negative emissions.
📝 Abstract
Decarbonizing existing coal-fired power plants can contribute to near-term climate mitigation, but identifying cost-effective retrofit strategies is complicated by interactions among mitigation technologies. Here we develop an interaction-aware optimization framework that jointly evaluates energy conservation, biomass co-firing, and carbon capture across 1,885 coal-fired power plants in China while accounting for plant heterogeneity and shared biomass and CO2 storage resources. We find that technology interactions alter both mitigation costs and the emission reductions attributable to individual measures, thereby changing cost-optimal technology portfolios and marginal abatement cost curve at the fleet level. Approximately 1.2 Gt CO2 yr-1 can be mitigated at negative marginal cost, while reaching carbon neutrality requires a marginal abatement cost of US$56 t CO2-1. Progressively deeper mitigation shifts the cost-optimal portfolio from energy conservation toward biomass co-firing and ultimately carbon capture, with biomass combined with carbon capture enabling net-negative emissions. Explicitly accounting for interactions among mitigation technologies therefore provides a more consistent basis for evaluating coal-power decarbonization and coordinating retrofit investment, infrastructure development, and climate policy.
Problem

Research questions and friction points this paper is trying to address.

coal power decarbonization
technology interactions
mitigation technologies
cost-effective retrofit
carbon neutrality
Innovation

Methods, ideas, or system contributions that make the work stand out.

technology interactions
interaction-aware optimization
coal power decarbonization
marginal abatement cost curve
biomass co-firing with carbon capture
🔎 Similar Papers
No similar papers found.
Y
Yun-Long Zhang
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China; Beijing Lab for System Engineering of Carbon Neutrality, Beijing Municipal Education Commission, Beijing 100081, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China; Division of Physical Resource Theory, Department of Environmental and Energy Sciences, Chalmers University of Technology, 412 96, Göteborg, Sweden
J
Jia-Ning Kang
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China; Beijing Lab for System Engineering of Carbon Neutrality, Beijing Municipal Education Commission, Beijing 100081, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China; School of Management, Beijing Institute of Technology, Beijing 100081, China
X
Xiaoming Kan
Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden
L
Lan-Cui Liu
School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China
Z
Zhimin Huang
Robert B. Willumstad School of Business, Adelphi University, Garden City, NY 11530, USA
S
Song Peng
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China; Beijing Lab for System Engineering of Carbon Neutrality, Beijing Municipal Education Commission, Beijing 100081, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China; School of Management, Beijing Institute of Technology, Beijing 100081, China
B
Biying Yu
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China; Beijing Lab for System Engineering of Carbon Neutrality, Beijing Municipal Education Commission, Beijing 100081, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China; School of Management, Beijing Institute of Technology, Beijing 100081, China
Y
Yi-Ming Wei
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China; Beijing Lab for System Engineering of Carbon Neutrality, Beijing Municipal Education Commission, Beijing 100081, China; Basic Science Center for Energy and Climate Change, Beijing 100081, China; School of Management, Beijing Institute of Technology, Beijing 100081, China