Carbon capture and storage at scale: Lessons from the growth of analogous energy technologies
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
- 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.
- MacKerron, Gordon, 1992. "Nuclear costs : Why do they keep rising?," Energy Policy, Elsevier, vol. 20(7), pages 641-652, July.
- K. J. Arrow, 1971.
"The Economic Implications of Learning by Doing,"
Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149,
Palgrave Macmillan.
- Kenneth J. Arrow, 1962. "The Economic Implications of Learning by Doing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(3), pages 155-173.
- Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
- Karsten Neuhoff, 2008.
"Learning by Doing with Constrained Growth Rates:An Application to Energy Technology Policy,"
The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 165-182.
- Karsten Neuhoff, 2008. "Learning by Doing with Constrained Growth Rates and Application to Energy Technology Policy," Working Papers EPRG 0809, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Rubin, Edward S. & Chen, Chao & Rao, Anand B., 2007. "Cost and performance of fossil fuel power plants with CO2 capture and storage," Energy Policy, Elsevier, vol. 35(9), pages 4444-4454, September.
- Marvin B. Lieberman, 1984. "The Learning Curve and Pricing in the Chemical Processing Industries," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 213-228, Summer.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bartha, Zoltán & Sáfrányné Gubik, Andrea & Tóthné Szita, Klára, 2013. "Intézményi megoldások, fejlődési modellek [Institutional solutions, development models]," MPRA Paper 50901, University Library of Munich, Germany.
- Bobo Zheng & Jiuping Xu, 2014. "Carbon Capture and Storage Development Trends from a Techno-Paradigm Perspective," Energies, MDPI, vol. 7(8), pages 1-30, August.
- Asbjørn Torvanger & Marianne Lund & Nathan Rive, 2013. "Carbon capture and storage deployment rates: needs and feasibility," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(2), pages 187-205, February.
- Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
- Bistline, John E., 2014. "Energy technology expert elicitations: An application to natural gas turbine efficiencies," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 177-187.
- Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
- Selosse, Sandrine & Ricci, Olivia, 2017. "Carbon capture and storage: Lessons from a storage potential and localization analysis," Applied Energy, Elsevier, vol. 188(C), pages 32-44.
- Yuan, Jia-Hai & Lyon, Thomas P., 2012. "Promoting global CCS RDD&D by stronger U.S.–China collaboration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6746-6769.
- Ming, Zeng & Shaojie, Ouyang & Yingjie, Zhang & Hui, Shi, 2014. "CCS technology development in China: Status, problems and countermeasures—Based on SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 604-616.
- Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
- Peter Stigson & Anders Hansson & Mårten Lind, 2012. "Obstacles for CCS deployment: an analysis of discrepancies of perceptions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(6), pages 601-619, August.
- Nicodemus, Julia Haltiwanger, 2018. "Technological learning and the future of solar H2: A component learning comparison of solar thermochemical cycles and electrolysis with solar PV," Energy Policy, Elsevier, vol. 120(C), pages 100-109.
- John Bistline & John Weyant, 2013. "Electric sector investments under technological and policy-related uncertainties: a stochastic programming approach," Climatic Change, Springer, vol. 121(2), pages 143-160, November.
- Stewart Russell & Nils Markusson & Vivian Scott, 2012. "What will CCS demonstrations demonstrate?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(6), pages 651-668, August.
- Holly Jean Buck, 2016. "Rapid scale-up of negative emissions technologies: social barriers and social implications," Climatic Change, Springer, vol. 139(2), pages 155-167, November.
- 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.
- 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.
- Jonathan Paul Marshall, 2022. "A Social Exploration of the West Australian Gorgon Gas, Carbon Capture and Storage Project," Clean Technol., MDPI, vol. 4(1), pages 1-24, February.
- Haas, Christian & Kempa, Karol & Moslener, Ulf, 2023. "Dealing with deep uncertainty in the energy transition: What we can learn from the electricity and transportation sectors," Energy Policy, Elsevier, vol. 179(C).
- Hughes, Larry & Chaudhry, Nikhil, 2011. "The challenge of meeting Canada's greenhouse gas reduction targets," Energy Policy, Elsevier, vol. 39(3), pages 1352-1362, March.
- 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.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018.
"How well do experience curves predict technological progress? A method for making distributional forecasts,"
Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
- Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
- Sue Wing, Ian, 2006. "Representing induced technological change in models for climate policy analysis," Energy Economics, Elsevier, vol. 28(5-6), pages 539-562, November.
- 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.
- Papineau, Maya, 2006. "An economic perspective on experience curves and dynamic economies in renewable energy technologies," Energy Policy, Elsevier, vol. 34(4), pages 422-432, March.
- Lehmann, Paul, 2009.
"Climate policies with pollution externalities and learning spillovers,"
UFZ Discussion Papers
10/2009, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
- Lehmann, Paul, 2009. "Climate Policies with Pollution Externalities and Learning Spillovers," MPRA Paper 21353, University Library of Munich, Germany.
- Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
- Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017.
"The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India,"
Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
- Giovanni Dosi & Marco Grazzi & Nanditha Mathew, 2016. "The cost-quantity relations and the diverse patterns of "learning by doing": Evidence from India," LEM Papers Series 2016/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.
- Farmer, J. Doyne & Lafond, François, 2016.
"How predictable is technological progress?,"
Research Policy, Elsevier, vol. 45(3), pages 647-665.
- J. Doyne Farmer & Francois Lafond, 2015. "How predictable is technological progress?," Papers 1502.05274, arXiv.org, revised Nov 2015.
- Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
- Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
- Lehmann, Paul & Gawel, Erik, 2013.
"Why should support schemes for renewable electricity complement the EU emissions trading scheme?,"
Energy Policy, Elsevier, vol. 52(C), pages 597-607.
- Lehmann, Paul & Gawel, Erik, 2011. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," UFZ Discussion Papers 5/2011, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
- van Blommestein, Kevin & Daim, Tugrul U. & Cho, Yonghee & Sklar, Paul, 2018. "Structuring financial incentives for residential solar electric systems," Renewable Energy, Elsevier, vol. 115(C), pages 28-40.
- Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
- Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
- Li, Sheng & Zhang, Xiaosong & Gao, Lin & Jin, Hongguang, 2012. "Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies," Applied Energy, Elsevier, vol. 93(C), pages 348-356.
- 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.
- Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
More about this item
Keywords
Carbon capture and storage Capital intensive energy technologies Technological diffusion and learning by doing;Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:38:y:2010:i:8:p:4089-4098. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.