The Prospects of Carbon Capture and Storage in China's Power Sector under the 2 °C Target: A Component-based Learning Curve Approach. (October 2020)

• Record Type: Journal Article
• Authors: Kang, Jia-Ning; Wei, Yi-Ming; Liu, Lancui; Han, Rong; Chen, Hao; Li, Jiaquan; Wang, Jin-Wei; Yu, Bi-Ying
• Is Part Of: International journal of greenhouse gas control. Volume 101(2020)
• Publication Date: 2020-10
• Subjects: Carbon capture and storage -- Component-based learning curve -- Technological progress -- China's thermal power sector; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2020.103149
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: The study quantifies component-based learning curves of four CCS pathways. A nonlinear programming approach of CCS technology selection was developed. An empirical analysis of China's power sector was carried out. Advanced CCS technology roadmaps in line with 2 °C target were put forward. Abstract: Carbon capture and storage (CCS) is indispensable in achieving the well below 2 °C warming target, especially for China with coal-dominated energy structures. However, high investment makes the development of CCS far from the global warming target. Concerns about the high cost have led to a spread of pessimistic attitude towards the future of CCS to some extent. Therefore, this study provides the first instance to determine the unit CO2 avoided cost learning curves of various CCS pathways for China's thermal power generation based on a component-based approach, and establishes a non-linear technology optimization model with endogenous technological progress. Model developed by this study aims to explore the economically optimal CCS deployment strategy for achieving the necessary emission reductions in line with 2 °C target in China and the amount of investment required. Results show that the nominal learning rates of CO2 avoided costs are in the range of 0.018 to 0.151 for four CCS pathways. The strategic priority should be given to the integrated gasification combined cycle (IGCC) pathway and the supercritical pulverized coal (SPC) pathway, considering that they have greater cost reduction potential than that of oxy-combustion and gas-fired pathway. To achieve the 2 °C target, the total abatement cost will be at least 330 billion US dollars with a CCS capacity of 499 GW for power sector by 2050. The preferred time of large-scale deployment of CCS in China's power sector is around 2030. Postponing CCS commercialization will surge the abatement cost to $626 billion by 2050. In addition, this study provides the long term break-even CO2 prices for implementing CCS, ranging from approximately $46/ton CO2 to $62/ton CO2, which is informative for the future subsidy setting and carbon trading market.