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Evaluation of cost reduction potential for a coal based polygeneration system with CO2 capture

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  • Li, Sheng
  • Gao, Lin
  • Zhang, Xiaosong
  • Lin, Hu
  • Jin, Hongguang

Abstract

The coal based polygeneration with CO2 capture (PG + CC) technology is expected as one of the possible options to mitigate CO2 emissions with low cost and low energy. This work assesses the cost reduction potential of PG + CC technology based on learning curve method, and finds out what factors and how they influence the cost curve.

Suggested Citation

  • Li, Sheng & Gao, Lin & Zhang, Xiaosong & Lin, Hu & Jin, Hongguang, 2012. "Evaluation of cost reduction potential for a coal based polygeneration system with CO2 capture," Energy, Elsevier, vol. 45(1), pages 101-106.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:101-106
    DOI: 10.1016/j.energy.2011.11.059
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    1. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    2. Greaker, Mads & Lund Sagen, Eirik, 2008. "Explaining experience curves for new energy technologies: A case study of liquefied natural gas," Energy Economics, Elsevier, vol. 30(6), pages 2899-2911, November.
    3. repec:cdl:itsdav:qt46x6h0n0 is not listed on IDEAS
    4. repec:cdl:itsdav:qt96z5s545 is not listed on IDEAS
    5. Yeh, Tsai-lien & Chen, Tser-yieth & Lai, Pei-ying, 2010. "A comparative study of energy utilization efficiency between Taiwan and China," Energy Policy, Elsevier, vol. 38(5), pages 2386-2394, May.
    6. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    7. Leduc, S. & Starfelt, F. & Dotzauer, E. & Kindermann, G. & McCallum, I. & Obersteiner, M. & Lundgren, J., 2010. "Optimal location of lignocellulosic ethanol refineries with polygeneration in Sweden," Energy, Elsevier, vol. 35(6), pages 2709-2716.
    8. Hetland, Jens & Zheng, Li & Shisen, Xu, 2009. "How polygeneration schemes may develop under an advanced clean fossil fuel strategy under a joint sino-European initiative," Applied Energy, Elsevier, vol. 86(2), pages 219-229, February.
    9. Lin, Hu & Jin, Hongguang & Gao, Lin & Han, Wei, 2010. "Economic analysis of coal-based polygeneration system for methanol and power production," Energy, Elsevier, vol. 35(2), pages 858-863.
    10. repec:cdl:itsdav:qt3zz2w2wr is not listed on IDEAS
    11. Zhang, Ming & Wang, Wenwen, 2011. "Analysis of China's energy utilization for 2007," Energy Policy, Elsevier, vol. 39(3), pages 1612-1616, March.
    12. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    13. Jin, Hongguang & Gao, Lin & Han, Wei & Hong, Hui, 2010. "Prospect options of CO2 capture technology suitable for China," Energy, Elsevier, vol. 35(11), pages 4499-4506.
    14. Junginger, Martin & de Visser, Erika & Hjort-Gregersen, Kurt & Koornneef, Joris & Raven, Rob & Faaij, Andre & Turkenburg, Wim, 2006. "Technological learning in bioenergy systems," Energy Policy, Elsevier, vol. 34(18), pages 4024-4041, December.
    15. Bounaceur, Roda & Lape, Nancy & Roizard, Denis & Vallieres, Cécile & Favre, Eric, 2006. "Membrane processes for post-combustion carbon dioxide capture: A parametric study," Energy, Elsevier, vol. 31(14), pages 2556-2570.
    16. Ertesvåg, Ivar S. & Kvamsdal, Hanne M. & Bolland, Olav, 2005. "Exergy analysis of a gas-turbine combined-cycle power plant with precombustion CO2 capture," Energy, Elsevier, vol. 30(1), pages 5-39.
    17. repec:cdl:itsdav:qt1f25b3xq is not listed on IDEAS
    18. Gao, Lin & Jin, Hongguang & Liu, Zelong & Zheng, Danxing, 2004. "Exergy analysis of coal-based polygeneration system for power and chemical production," Energy, Elsevier, vol. 29(12), pages 2359-2371.
    19. repec:cdl:itsdav:qt4xn4w7rn is not listed on IDEAS
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    3. Yi, Qun & Gong, Min-Hui & Huang, Yi & Feng, Jie & Hao, Yan-Hong & Zhang, Ji-Long & Li, Wen-Ying, 2016. "Process development of coke oven gas to methanol integrated with CO2 recycle for satisfactory techno-economic performance," Energy, Elsevier, vol. 112(C), pages 618-628.
    4. Sahoo, U. & Kumar, R. & Pant, P.C. & Chaudhury, R., 2015. "Scope and sustainability of hybrid solar–biomass power plant with cooling, desalination in polygeneration process in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 304-316.
    5. Li, Yuanyuan & Zhang, Guoqiang & Yang, Yongping & Zhai, Dailong & Zhang, Kai & Xu, Gang, 2014. "Thermodynamic analysis of a coal-based polygeneration system with partial gasification," Energy, Elsevier, vol. 72(C), pages 201-214.
    6. Yi, Qun & Feng, Jie & Wu, Yanli & Li, Wenying, 2014. "3E (energy, environmental, and economy) evaluation and assessment to an innovative dual-gas polygeneration system," Energy, Elsevier, vol. 66(C), pages 285-294.
    7. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Wu, Handong & Gao, Lin & Jin, Hongguang & Li, Sheng, 2017. "Low-energy-penalty principles of CO2 capture in polygeneration systems," Applied Energy, Elsevier, vol. 203(C), pages 571-581.
    9. Guo, Zhihang & Wang, Qinhui & Fang, Mengxiang & Luo, Zhongyang & Cen, Kefa, 2014. "Thermodynamic and economic analysis of polygeneration system integrating atmospheric pressure coal pyrolysis technology with circulating fluidized bed power plant," Applied Energy, Elsevier, vol. 113(C), pages 1301-1314.
    10. Farhat, Karim & Reichelstein, Stefan, 2016. "Economic value of flexible hydrogen-based polygeneration energy systems," Applied Energy, Elsevier, vol. 164(C), pages 857-870.
    11. Li, Sheng & Jin, Hongguang & Gao, Lin, 2013. "Cogeneration of substitute natural gas and power from coal by moderate recycle of the chemical unconverted gas," Energy, Elsevier, vol. 55(C), pages 658-667.
    12. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.

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