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Published in: Mitigation and Adaptation Strategies for Global Change 7/2020

01-04-2020 | Original Article

Technology-side carbon abatement cost curves for China’s power generation sector

Authors: Lin-Ju Chen, Zhen-Hai Fang, Fei Xie, Hai-Kuo Dong, Yu-Heng Zhou

Published in: Mitigation and Adaptation Strategies for Global Change | Issue 7/2020

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Abstract

China is among the largest emitters of carbon dioxide (CO2), worldwide Thus, its emissions mitigation is of global concern. The power generation sector is responsible for nearly half of China’s total CO2 emissions and plays a key role in emissions mitigation. This study is an integrated evaluation of abatement technologies, including both low-carbon power generation technologies and retrofitting options for coal power plants. We draw marginal abatement cost curves for these technologies using the conservation supply curve method. Using scenario analysis for the years 2015 to 2030, we discuss the potential performance of abatement technologies. Marginal costs for the analyzed abatement technologies range from RMB − 357.41/ton CO2 to RMB 927.95/ton CO2. Furthermore, their cumulative mitigation potential relative to the baseline scenario could reach 35 billion tons of CO2 in 2015–2030, with low-carbon power generation technologies and coal power abatement technologies contributing 55% and 45% of the total mitigation, respectively. Our case study of China demonstrates the power generation sector’s great potential to mitigate global emissions, and we suggest nuclear power, hydropower, and the comprehensive retrofitting of coal power as key technology options for the low-carbon transition of the energy system and long-term emissions mitigation strategies.
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Literature
go back to reference Bee’r JM (2000) Combustion technology developments in power generation in response to environmental challenges. Prog Energy Combust Sci 26(4–6):301–327CrossRef Bee’r JM (2000) Combustion technology developments in power generation in response to environmental challenges. Prog Energy Combust Sci 26(4–6):301–327CrossRef
go back to reference Brear MJ, Jeppesen M, Chattopadhyay D et al (2016) Least cost, utility scale abatement from Australia’s NEM (National Electricity Market). Part 2: Scenarios and policy implications. Energy 101:621–628CrossRef Brear MJ, Jeppesen M, Chattopadhyay D et al (2016) Least cost, utility scale abatement from Australia’s NEM (National Electricity Market). Part 2: Scenarios and policy implications. Energy 101:621–628CrossRef
go back to reference Chen LJ, Zhu L, Fan Y (2013) Long-term impacts of carbon tax and feed-in tariff policies on China’s generating portfolio and carbon emissions: a multi-agent-based analysis. Energy & Environment 24(7):1270–1293 Chen LJ, Zhu L, Fan Y (2013) Long-term impacts of carbon tax and feed-in tariff policies on China’s generating portfolio and carbon emissions: a multi-agent-based analysis. Energy & Environment 24(7):1270–1293
go back to reference Du L, Hanley A, Zhang N (2016) Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: a parametric meta-frontier analysis. Resour Energy Econ 43:14–32CrossRef Du L, Hanley A, Zhang N (2016) Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: a parametric meta-frontier analysis. Resour Energy Econ 43:14–32CrossRef
go back to reference Du Y, Song B, Duan H, Tsvetanov TG, Wu Y (2019) Multi-renewable management: Interactions between wind and solar within uncertain technology ecological system. Energy Conversion and Management 187:232-247CrossRef Du Y, Song B, Duan H, Tsvetanov TG, Wu Y (2019) Multi-renewable management: Interactions between wind and solar within uncertain technology ecological system. Energy Conversion and Management 187:232-247CrossRef
go back to reference Duan HB, Fan Y, Zhu L (2013) What’s the most cost-effective policy of CO2 targeted reduction: an application of aggregated economic technological model with CCS? Appl Energy 112:866–875CrossRef Duan HB, Fan Y, Zhu L (2013) What’s the most cost-effective policy of CO2 targeted reduction: an application of aggregated economic technological model with CCS? Appl Energy 112:866–875CrossRef
go back to reference Duan HB, Zhang G, Wang S et al (2018) Robust climate change research: a review on multi-model analysis. Environ Res Lett 14(3):033001CrossRef Duan HB, Zhang G, Wang S et al (2018) Robust climate change research: a review on multi-model analysis. Environ Res Lett 14(3):033001CrossRef
go back to reference Duan HB, Zhang G, Wang S et al (2019) Integrated benefit-cost analysis of China’s optimal adaptation and targeted mitigation. Ecol Econ 160:76–86CrossRef Duan HB, Zhang G, Wang S et al (2019) Integrated benefit-cost analysis of China’s optimal adaptation and targeted mitigation. Ecol Econ 160:76–86CrossRef
go back to reference Fleiter T, Fehrenbach D, Worrell E et al (2012) Energy efficiency in the German pulp and paper industry – a model-based assessment of saving potentials. Energy 40:84–99CrossRef Fleiter T, Fehrenbach D, Worrell E et al (2012) Energy efficiency in the German pulp and paper industry – a model-based assessment of saving potentials. Energy 40:84–99CrossRef
go back to reference Franco A, Diaz AR (2009) The future challenges for “clean coal technologies”: joining efficiency increase and pollutant emission control. Energy 34:348–354CrossRef Franco A, Diaz AR (2009) The future challenges for “clean coal technologies”: joining efficiency increase and pollutant emission control. Energy 34:348–354CrossRef
go back to reference Gnansounou E, Dong J, Bedniaguine D (2004) The strategic technology options for mitigating CO2 emissions in power sector: assessment of Shanghai electricity-generating system. Ecol Econ 50:117–133CrossRef Gnansounou E, Dong J, Bedniaguine D (2004) The strategic technology options for mitigating CO2 emissions in power sector: assessment of Shanghai electricity-generating system. Ecol Econ 50:117–133CrossRef
go back to reference Goh T, Ang BW (2018) Quantifying CO2 emission reductions from renewables and nuclear energy – some paradoxes. Energy Policy 113:651–662CrossRef Goh T, Ang BW (2018) Quantifying CO2 emission reductions from renewables and nuclear energy – some paradoxes. Energy Policy 113:651–662CrossRef
go back to reference Hasanbeigi A, Menke C, Therdyothin A (2010) The use of conservation supply curves in energy policy and economic analysis: the case study of Thai cement industry. Energy Policy 38:392–405CrossRef Hasanbeigi A, Menke C, Therdyothin A (2010) The use of conservation supply curves in energy policy and economic analysis: the case study of Thai cement industry. Energy Policy 38:392–405CrossRef
go back to reference Jeppesen M, Brear MJ, Chattopadhyay D et al (2016) Least cost, utility scale abatement from Australia’s NEM (National Electricity Market). Part 1: Problem formulation and modelling. Energy 101:606–620CrossRef Jeppesen M, Brear MJ, Chattopadhyay D et al (2016) Least cost, utility scale abatement from Australia’s NEM (National Electricity Market). Part 1: Problem formulation and modelling. Energy 101:606–620CrossRef
go back to reference Jin T, Kim J (2018) What is better for mitigating carbon emissions – renewable energy or nuclear energy? A panel data analysis. Renew Sust Energ Rev 91:464–471CrossRef Jin T, Kim J (2018) What is better for mitigating carbon emissions – renewable energy or nuclear energy? A panel data analysis. Renew Sust Energ Rev 91:464–471CrossRef
go back to reference Lee CY, Zhou P (2015) Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010. Energy Econ 51:493–502CrossRef Lee CY, Zhou P (2015) Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010. Energy Econ 51:493–502CrossRef
go back to reference Li A, Hu M, Sun C et al (2017) Optimal CO2 abatement pathway with induced technological progress for Chinese coal-fired power industry. Energy Sustain Dev 36:55–63CrossRef Li A, Hu M, Sun C et al (2017) Optimal CO2 abatement pathway with induced technological progress for Chinese coal-fired power industry. Energy Sustain Dev 36:55–63CrossRef
go back to reference Li Y, Zhu L (2014) Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector. Appl Energy 130:603–616CrossRef Li Y, Zhu L (2014) Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector. Appl Energy 130:603–616CrossRef
go back to reference Liddle B, Sadorsky P (2017) How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions? Appl Energy 197:212–221CrossRef Liddle B, Sadorsky P (2017) How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions? Appl Energy 197:212–221CrossRef
go back to reference Lin B, Wu Y, Zhang L (2012) Electricity saving potential of the power generation industry in China. Energy 40:307–316CrossRef Lin B, Wu Y, Zhang L (2012) Electricity saving potential of the power generation industry in China. Energy 40:307–316CrossRef
go back to reference Lin B, Yang L (2013) The potential estimation and factor analysis of China’s energy conservation on thermal power industry. Energy Policy 62:354–362CrossRef Lin B, Yang L (2013) The potential estimation and factor analysis of China’s energy conservation on thermal power industry. Energy Policy 62:354–362CrossRef
go back to reference Liu T, Xu G, Cai P et al (2011) Development forecast of renewable energy power generation in China and its influence on the GHG control strategy of the country. Renew Energy 36:1284–1292CrossRef Liu T, Xu G, Cai P et al (2011) Development forecast of renewable energy power generation in China and its influence on the GHG control strategy of the country. Renew Energy 36:1284–1292CrossRef
go back to reference Oboirien BO, North BC, Obayopo SO et al (2018) Analysis of clean coal technology in Nigeria for energy generation. Energy Strateg Rev 20:64–70CrossRef Oboirien BO, North BC, Obayopo SO et al (2018) Analysis of clean coal technology in Nigeria for energy generation. Energy Strateg Rev 20:64–70CrossRef
go back to reference Peng BB, Fan Y, Xu JH (2016) Integrated assessment of energy efficiency technologies and CO2 abatement cost curves in China’s road passenger car sector. Energy Convers Manag 109:195–212CrossRef Peng BB, Fan Y, Xu JH (2016) Integrated assessment of energy efficiency technologies and CO2 abatement cost curves in China’s road passenger car sector. Energy Convers Manag 109:195–212CrossRef
go back to reference Peng J, Yu BY, Liao H et al (2018) Marginal abatement costs of CO2 emissions in the thermal power sector: a regional empirical analysis from China. J Clean Prod 171:163–174CrossRef Peng J, Yu BY, Liao H et al (2018) Marginal abatement costs of CO2 emissions in the thermal power sector: a regional empirical analysis from China. J Clean Prod 171:163–174CrossRef
go back to reference Pérez de Arce M, Sauma E, Contreras J (2016) Renewable energy policy performance in reducing CO 2 emissions. Energy Econ 54:272–280CrossRef Pérez de Arce M, Sauma E, Contreras J (2016) Renewable energy policy performance in reducing CO 2 emissions. Energy Econ 54:272–280CrossRef
go back to reference Qi T, Zhang X, Karplus VJ (2014) The energy and CO2 emissions impact of renewable energy development in China. Energy Policy 68:60–69CrossRef Qi T, Zhang X, Karplus VJ (2014) The energy and CO2 emissions impact of renewable energy development in China. Energy Policy 68:60–69CrossRef
go back to reference Sands RD (2004) Dynamics of carbon abatement in the Second Generation Model. Econ 26:721–738 Sands RD (2004) Dynamics of carbon abatement in the Second Generation Model. Econ 26:721–738
go back to reference Sgouridis S, Carbajales-Dale M, Csala D, Chiesa M, Bardi U (2019) Comparative net energy analysis of renewable electricity and carbon capture and storage. Nat Energy 4:456–465CrossRef Sgouridis S, Carbajales-Dale M, Csala D, Chiesa M, Bardi U (2019) Comparative net energy analysis of renewable electricity and carbon capture and storage. Nat Energy 4:456–465CrossRef
go back to reference Siqueira DS, Meystre JA, Hilário et al (2019) Current perspectives on nuclear energy as a global climate change mitigation option. Mitig Adapt Strateg Glob Chang 24:749–777 Siqueira DS, Meystre JA, Hilário et al (2019) Current perspectives on nuclear energy as a global climate change mitigation option. Mitig Adapt Strateg Glob Chang 24:749–777
go back to reference Souza JFT, Pacca SA (2019) How far can low-carbon energy scenarios reach based on proven technologies? Mitig Adapt Strateg Glob Chang 24:687–705CrossRef Souza JFT, Pacca SA (2019) How far can low-carbon energy scenarios reach based on proven technologies? Mitig Adapt Strateg Glob Chang 24:687–705CrossRef
go back to reference Su S, Zhao J, Hu J (2015) Study on greenhouse gas emissions of China’s power industry from 1990 to 2050. Advances in Climate Change 11(05):353–362 Su S, Zhao J, Hu J (2015) Study on greenhouse gas emissions of China’s power industry from 1990 to 2050. Advances in Climate Change 11(05):353–362
go back to reference Van den Bergh K, Delarue E (2015) Quantifying CO 2 abatement costs in the power sector. Energy Policy 80:88–97CrossRef Van den Bergh K, Delarue E (2015) Quantifying CO 2 abatement costs in the power sector. Energy Policy 80:88–97CrossRef
go back to reference Wang K, Wang S, Liu L et al (2016) Environmental co-benefits of energy efficiency improvement in coal-fired power sector: a case study of Henan Province, China. Appl Energy 184:810–819CrossRef Wang K, Wang S, Liu L et al (2016) Environmental co-benefits of energy efficiency improvement in coal-fired power sector: a case study of Henan Province, China. Appl Energy 184:810–819CrossRef
go back to reference Wei C, Löschel A, Liu B (2015) Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: a non-parametric analysis. Energy Econ 49:33–43CrossRef Wei C, Löschel A, Liu B (2015) Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: a non-parametric analysis. Energy Econ 49:33–43CrossRef
go back to reference Woetzel J, Joerss M, Bradley R (2009) China’s green revolution: prioritizing technologies to achieve energy and environmental sustainability. McKinsey & Company, Beijing Woetzel J, Joerss M, Bradley R (2009) China’s green revolution: prioritizing technologies to achieve energy and environmental sustainability. McKinsey & Company, Beijing
go back to reference Worrell E, Martin N, Price L (2000) Potentials for energy efficiency improvement in the US cement industry. Energy 25:1189–1214CrossRef Worrell E, Martin N, Price L (2000) Potentials for energy efficiency improvement in the US cement industry. Energy 25:1189–1214CrossRef
go back to reference Yu S, Zhang J, Cheng J (2016) Carbon reduction cost estimating of Chinese coal-fired power generation units: a perspective from national energy consumption standard. J Clean Prod 139:612–621CrossRef Yu S, Zhang J, Cheng J (2016) Carbon reduction cost estimating of Chinese coal-fired power generation units: a perspective from national energy consumption standard. J Clean Prod 139:612–621CrossRef
go back to reference Yu X, Qu H (2013) The role of China’s renewable powers against climate change during the 12th five-year and until 2020. Renew Sust Energ Rev 22:401–409CrossRef Yu X, Qu H (2013) The role of China’s renewable powers against climate change during the 12th five-year and until 2020. Renew Sust Energ Rev 22:401–409CrossRef
go back to reference Yue H, Worrell E, Crijns-Graus W (2018) Modeling the multiple benefits of electricity savings for emissions reduction on power grid level: a case study of China’s chemical industry. Appl Energy 230:1603–1632CrossRef Yue H, Worrell E, Crijns-Graus W (2018) Modeling the multiple benefits of electricity savings for emissions reduction on power grid level: a case study of China’s chemical industry. Appl Energy 230:1603–1632CrossRef
Metadata
Title
Technology-side carbon abatement cost curves for China’s power generation sector
Authors
Lin-Ju Chen
Zhen-Hai Fang
Fei Xie
Hai-Kuo Dong
Yu-Heng Zhou
Publication date
01-04-2020
Publisher
Springer Netherlands
Published in
Mitigation and Adaptation Strategies for Global Change / Issue 7/2020
Print ISSN: 1381-2386
Electronic ISSN: 1573-1596
DOI
https://doi.org/10.1007/s11027-019-09909-x

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