Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective

Fan, Jing-Li; Xu, Mao; Li, Fengyu; Yang, Lin; Xian, Zhang

doi:10.1016/j.apenergy.2018.07.117

Cited by 118 publications

(35 citation statements)

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“…One possible method to reduce the stranded risk is to introduce CCS technology into coal power plants. As Fan pointed out in a previous study (Fan et al 2018), if CCS commercialization can be achieved in 2030, the CCS retrofitting potential would reach 460 GW.…”

Section: Discussionmentioning

confidence: 84%

“…Wand et al analyzed the low-carbon transitions of China's power system with the China TIMES model, and concluded that investing in coal-based power plants could become uneconomic once a stringent climate target is introduced into the system (Wang et al 2019). Fan et al explored the carbon capture and storage (CCS) retrofit potential of coalfired power plants in China and concluded that CCS should realize commercialization before 2040 to make CCS retrofit a cost-effective solution (Fan et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Early transformation of the Chinese power sector to avoid additional coal lock-in

Wang

Chen

Bertram

et al. 2020

Environ. Res. Lett.

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Emission reduction from the coal-dominated power sector is vital for achieving China's carbon mitigation targets. Although the coal expansion has been slowed down due to the cancellation of and delay in new construction, coal-based power was responsible for over one third of China's energyrelated CO 2 emissions by 2018. Moreover, with a technical lifetime of over 30 years, current investment in coal-based power could hinder CO 2 mitigation until 2050. Therefore, it is important to examine whether the current coal-based power planning aligns with the long-term climate targets. This paper introduces China's Nationally Determined Contribution (NDC) goals and an ambitious carbon budget along with global pathways well-below 2 degrees that are divided into five integrated assessment models, which are two national and three global models. We compare the models' results with bottom-up data on current capacity additions and expansion plans to examine if the NDC targets are in line with 2-degree pathways. The key findings are: 1. NDC goals alone are unlikely to lead to significant reductions in coal-based power generation. On the contrary, more plants may be built before 2030; 2. this would require an average of 187-261 TWh of annual coal-based power capacity reduction between 2030 and 2050 to achieve a 2°C compatible trajectory, which would lead to the stranding of large-scale coal-based power plants; 3. if the reduction in coal power can be brought forward to 2020, the average annual coal-based power reduction required would be 104-155 TWh from 2020 to 2050 and the emissions could peak earlier; 4. early regulations in coal-based power would require accelerated promotion of alternatives between 2020 and 2030, with nuclear, wind and solar power expected to be the most promising alternatives. By presenting the stranding risk and viability of alternatives, we suggest that both the government and enterprises should remain cautious about making new investment in coal-based power sector.

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Section: Discussionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Early transformation of the Chinese power sector to avoid additional coal lock-in

Wang

Chen

Bertram

et al. 2020

Environ. Res. Lett.

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“…How to achieve net zero or even negative emissions in the coal power industry has become the key to achieving net zero emissions globally. At present, on the premise of not adding huge stranded assets caused by coal phase‐out, there are three technical solutions for low‐carbon transformation of coal‐fired power plants, namely carbon capture and storage (CCS), biomass‐coal co‐firing and co‐firing with CCS (Fan et al., 2018; Guo & Huang, 2020; Singh & Rao, 2016; Wang & Du, 2016; Welfle et al., 2020; Wu et al, 2014). Among these technologies, only biomass‐coal co‐firing with CCS can actually realize the net zero emission of coal‐fired power plant, which can extract carbon dioxide from atmosphere while co‐firing or CCS technology can only reduce carbon emission.…”

Section: Introductionmentioning

confidence: 99%

Retrofitting coal‐fired power plants with biomass co‐firing and carbon capture and storage for net zero carbon emission: A plant‐by‐plant assessment framework

et al. 2020

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“…Carbon capture and storage technology is one of the most promising options to solve the global environmental crisis [1][2]. CO2 transportation by the large-scale long-distance pipelines may pass through factories, ports and cities.…”

Section: Introductionmentioning

confidence: 99%

Localization of CO₂ gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling

Han

Song

Yan

2019

Meas. Sci. Technol.

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Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective

Cited by 118 publications

References 35 publications

Early transformation of the Chinese power sector to avoid additional coal lock-in

Early transformation of the Chinese power sector to avoid additional coal lock-in

Retrofitting coal‐fired power plants with biomass co‐firing and carbon capture and storage for net zero carbon emission: A plant‐by‐plant assessment framework

Localization of CO₂ gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling

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Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective

Cited by 118 publications

References 35 publications

Early transformation of the Chinese power sector to avoid additional coal lock-in

Early transformation of the Chinese power sector to avoid additional coal lock-in

Retrofitting coal‐fired power plants with biomass co‐firing and carbon capture and storage for net zero carbon emission: A plant‐by‐plant assessment framework

Localization of CO2 gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling

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Localization of CO₂ gas leakages through acoustic emission multi-sensor fusion based on wavelet-RBFN modeling