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The role of carbon capture technologies in greenhouse gas emissions-reduction models: A parametric study for the U.S. power sector

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  • Bistline, John E.
  • Rai, Varun

Abstract

This paper analyzes the potential contribution of carbon capture and storage (CCS) technologies to greenhouse gas emissions reductions in the U.S. electricity sector. Focusing on capture systems for coal-fired power plants until 2030, a sensitivity analysis of key CCS parameters is performed to gain insight into the role that CCS can play in future mitigation scenarios and to explore implications of large-scale CCS deployment. By integrating important parameters for CCS technologies into a carbon-abatement model similar to the EPRI Prism analysis (EPRI, 2007), this study concludes that the start time and rate of technology diffusion are important in determining emissions reductions and fuel consumption for CCS technologies. Comparisons with legislative emissions targets illustrate that CCS alone is very unlikely to meet reduction targets for the electric-power sector, even under aggressive deployment scenarios. A portfolio of supply and demand-side strategies is needed to reach emissions objectives, especially in the near term. Furthermore, model results show that the breakdown of capture technologies does not have a significant influence on potential emissions reductions. However, the level of CCS retrofits at existing plants and the eligibility of CCS for new subcritical plants have large effects on the extent of greenhouse gas emissions reductions.

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  • Bistline, John E. & Rai, Varun, 2010. "The role of carbon capture technologies in greenhouse gas emissions-reduction models: A parametric study for the U.S. power sector," Energy Policy, Elsevier, vol. 38(2), pages 1177-1191, February.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:2:p:1177-1191
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    Cited by:

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    2. Kern, Florian & Gaede, James & Meadowcroft, James & Watson, Jim, 2016. "The political economy of carbon capture and storage: An analysis of two demonstration projects," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 250-260.
    3. Moura, Maria Cecilia P. & Branco, David A. Castelo & Peters, Glen P. & Szklo, Alexandre Salem & Schaeffer, Roberto, 2013. "How the choice of multi-gas equivalency metrics affects mitigation options: The case of CO2 capture in a Brazilian coal-fired power plant," Energy Policy, Elsevier, vol. 61(C), pages 1357-1366.
    4. Anna Gatzioura & Miquel Sànchez-Marrè & Karina Gibert, 2019. "A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks," Energies, MDPI, vol. 12(18), pages 1-24, September.
    5. Sathre, Roger & Chester, Mikhail & Cain, Jennifer & Masanet, Eric, 2012. "A framework for environmental assessment of CO2 capture and storage systems," Energy, Elsevier, vol. 37(1), pages 540-548.
    6. Mohammad Hossein Ahmadi & Mohammad Dehghani Madvar & Milad Sadeghzadeh & Mohammad Hossein Rezaei & Manuel Herrera & Shahaboddin Shamshirband, 2019. "Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models," Energies, MDPI, vol. 12(10), pages 1-20, May.

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