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
Author
Abstract
Suggested Citation
DOI: 10.1016/j.rser.2016.03.015
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
- Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
- Colpier, Ulrika Claeson & Cornland, Deborah, 2002. "The economics of the combined cycle gas turbine--an experience curve analysis," Energy Policy, Elsevier, vol. 30(4), pages 309-316, March.
- Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
- Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
- Kunze, Christian & Spliethoff, Hartmut, 2012. "Assessment of oxy-fuel, pre- and post-combustion-based carbon capture for future IGCC plants," Applied Energy, Elsevier, vol. 94(C), pages 109-116.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- Zheng, Li & Dongjie, Zhang & Linwei, Ma & West, Logan & Weidou, Ni, 2011. "The necessity of and policy suggestions for implementing a limited number of large scale, fully integrated CCS demonstrations in China," Energy Policy, Elsevier, vol. 39(9), pages 5347-5355, September.
- Chen, G.Q. & Chen, B., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 1: Fossil fuels and energy minerals," Energy Policy, Elsevier, vol. 35(4), pages 2038-2050, April.
- Cormos, Calin-Cristian, 2012. "Integrated assessment of IGCC power generation technology with carbon capture and storage (CCS)," Energy, Elsevier, vol. 42(1), pages 434-445.
- Chen, G.Q. & Chen, B., 2007. "Resource analysis of the Chinese society 1980-2002 based on energy--Part 5: Resource structure and intensity," Energy Policy, Elsevier, vol. 35(4), pages 2087-2095, April.
- 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.
- Chen, G.Q. & Yang, Q. & Zhao, Y.H. & Wang, Z.F., 2011. "Nonrenewable energy cost and greenhouse gas emissions of a 1.5Â MW solar power tower plant in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1961-1967, May.
- de Wit, Marc & Junginger, Martin & Faaij, André, 2013. "Learning in dedicated wood production systems: Past trends, future outlook and implications for bioenergy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 417-432.
- Riahi, Keywan & Rubin, Edward S. & Schrattenholzer, Leo, 2004. "Prospects for carbon capture and sequestration technologies assuming their technological learning," Energy, Elsevier, vol. 29(9), pages 1309-1318.
- Dapeng, Liang & Weiwei, Wu, 2009. "Barriers and incentives of CCS deployment in China: Results from semi-structured interviews," Energy Policy, Elsevier, vol. 37(6), pages 2421-2432, June.
- Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 3: Agricultural products," Energy Policy, Elsevier, vol. 35(4), pages 2065-2078, April.
- Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- Tooraj Jamasb, 2007.
"Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies,"
The Energy Journal, , vol. 28(3), pages 51-72, July.
- Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
- Reiner, D.M & Herzog, H.J, 2004. "Developing a set of regulatory analogs for carbon sequestration," Energy, Elsevier, vol. 29(9), pages 1561-1570.
- Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
- Wu, X.F. & Chen, G.Q. & Wu, X.D. & Yang, Q. & Alsaedi, A. & Hayat, T. & Ahmad, B., 2015. "Renewability and sustainability of biogas system: Cosmic exergy based assessment for a case in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1509-1524.
- Narbel, Patrick André & Hansen, Jan Petter, 2014. "Estimating the cost of future global energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 91-97.
- Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
- Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
- Neij, L, 1999. "Cost dynamics of wind power," Energy, Elsevier, vol. 24(5), pages 375-389.
- 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.
- Oh, Tick Hui, 2010. "Carbon capture and storage potential in coal-fired plant in Malaysia--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2697-2709, December.
- Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
- Liu, Qiang & Shi, Minjun & Jiang, Kejun, 2009. "New power generation technology options under the greenhouse gases mitigation scenario in China," Energy Policy, Elsevier, vol. 37(6), pages 2440-2449, June.
- 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.
- Kraeusel, Jonas & Möst, Dominik, 2012. "Carbon Capture and Storage on its way to large-scale deployment: Social acceptance and willingness to pay in Germany," Energy Policy, Elsevier, vol. 49(C), pages 642-651.
- Goto, Kazuya & Yogo, Katsunori & Higashii, Takayuki, 2013. "A review of efficiency penalty in a coal-fired power plant with post-combustion CO2 capture," Applied Energy, Elsevier, vol. 111(C), pages 710-720.
- van Alphen, Klaas & van Voorst tot Voorst, Quirine & Hekkert, Marko P. & Smits, Ruud E.H.M., 2007. "Societal acceptance of carbon capture and storage technologies," Energy Policy, Elsevier, vol. 35(8), pages 4368-4380, August.
- McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
- Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
- 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.
- Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
- 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.
- 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.
- Riahi, Keywan & Rubin, Edward S. & Taylor, Margaret R. & Schrattenholzer, Leo & Hounshell, David, 2004. "Technological learning for carbon capture and sequestration technologies," Energy Economics, Elsevier, vol. 26(4), pages 539-564, July.
- 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.
- Hadjipaschalis, Ioannis & Kourtis, George & Poullikkas, Andreas, 2009. "Assessment of oxyfuel power generation technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2637-2644, December.
- Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
- Lohwasser, Richard & Madlener, Reinhard, 2013.
"Relating R&D and investment policies to CCS market diffusion through two-factor learning,"
Energy Policy, Elsevier, vol. 52(C), pages 439-452.
- Lohwasser, Richard & Madlener, Reinhard, 2010. "Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning," FCN Working Papers 6/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
- Zheng, Cheng & Kammen, Daniel M., 2014. "An innovation-focused roadmap for a sustainable global photovoltaic industry," Energy Policy, Elsevier, vol. 67(C), pages 159-169.
- Chen, G.Q. & Zhang, Bo, 2010. "Greenhouse gas emissions in China 2007: Inventory and input-output analysis," Energy Policy, Elsevier, vol. 38(10), pages 6180-6193, October.
- Nataly Echevarria Huaman, Ruth & Xiu Jun, Tian, 2014. "Energy related CO2 emissions and the progress on CCS projects: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 368-385.
- Yuan, Jiahai & Hou, Yong & Xu, Ming, 2012. "China's 2020 carbon intensity target: Consistency, implementations, and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4970-4981.
- van der Zwaan, Bob & Rabl, Ari, 2004. "The learning potential of photovoltaics: implications for energy policy," Energy Policy, Elsevier, vol. 32(13), pages 1545-1554, September.
- Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
- Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
- Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 4: Fishery and rangeland," Energy Policy, Elsevier, vol. 35(4), pages 2079-2086, April.
- 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.
- Narbel, Patrick A. & Hansen, Jan Petter, 2014. "Estimating the cost of future global energy supply," Discussion Papers 2014/14, Norwegian School of Economics, Department of Business and Management Science.
- Chen, G.Q. & Yang, Q. & Zhao, Y.H., 2011. "Renewability of wind power in China: A case study of nonrenewable energy cost and greenhouse gas emission by a plant in Guangxi," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2322-2329, June.
- Chen, H. & Chen, G.Q., 2011. "Energy cost of rapeseed-based biodiesel as alternative energy in China," Renewable Energy, Elsevier, vol. 36(5), pages 1374-1378.
- Lena Neij, 2004. "The development of the experience curve concept and its application in energy policy assessment," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 3-14.
- Davison, John, 2007. "Performance and costs of power plants with capture and storage of CO2," Energy, Elsevier, vol. 32(7), pages 1163-1176.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bhumika Gupta & Salil K. Sen, 2019. "Carbon Capture Usage and Storage with Scale-up: Energy Finance through Bricolage Deploying the Co-integration Methodology," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 146-153.
- Wu, X.D. & Chen, G.Q., 2017. "Energy and water nexus in power generation: The surprisingly high amount of industrial water use induced by solar power infrastructure in China," Applied Energy, Elsevier, vol. 195(C), pages 125-136.
- Zhang, Mingming & Song, Wenwen & Liu, Liyun & Zhou, Dequn, 2024. "Optimal investment portfolio strategy for carbon neutrality of power enterprises," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, vol. 11(9), pages 1-45, September.
- Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
- Bhumika Gupta & Salil K. Sen, 2019. "Carbon capture usage and storage with scale-up : energy finance through bricolage deploying the co-integration methodology," Post-Print hal-02559884, HAL.
- Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
- Luo, Shihua & Hu, Weihao & Liu, Wen & Zhang, Zhenyuan & Bai, Chunguang & Huang, Qi & Chen, Zhe, 2022. "Study on the decarbonization in China's power sector under the background of carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
- Wu, X.D. & Guo, J.L. & Chen, G.Q., 2018. "The striking amount of carbon emissions by the construction stage of coal-fired power generation system in China," Energy Policy, Elsevier, vol. 117(C), pages 358-369.
- Yang, Lin & Xu, Mao & Fan, Jingli & Liang, Xi & Zhang, Xian & Lv, Haodong & Wang, Dong, 2021. "Financing coal-fired power plant to demonstrate CCS (carbon capture and storage) through an innovative policy incentive in China," Energy Policy, Elsevier, vol. 158(C).
- Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
- Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Yang, Ying & Campana, Pietro Elia & Yan, Jinyue, 2020. "Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Lee, Hwarang & Lee, Jeongeun & Koo, Yoonmo, 2022. "Economic impacts of carbon capture and storage on the steel industry–A hybrid energy system model incorporating technological change," Applied Energy, Elsevier, vol. 317(C).
- Yao, Xing & Zhong, Ping & Zhang, Xian & Zhu, Lei, 2018. "Business model design for the carbon capture utilization and storage (CCUS) project in China," Energy Policy, Elsevier, vol. 121(C), pages 519-533.
- Herui Cui & Tian Zhao & Ruirui Wu, 2018. "An Investment Feasibility Analysis of CCS Retrofit Based on a Two-Stage Compound Real Options Model," Energies, MDPI, vol. 11(7), pages 1-19, July.
- Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
- Guo, Jian-Xin & Huang, Chen, 2020. "Feasible roadmap for CCS retrofit of coal-based power plants to reduce Chinese carbon emissions by 2050," Applied Energy, Elsevier, vol. 259(C).
- Chen, G.Q. & Wu, X.F., 2017. "Energy overview for globalized world economy: Source, supply chain and sink," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 735-749.
- Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.
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.- Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
- 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.
- Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
- Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
- 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).
- Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
- Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
- Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
- Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
- Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
- Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
- Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
- Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
- 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.
- 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.
- Lohwasser, Richard & Madlener, Reinhard, 2013.
"Relating R&D and investment policies to CCS market diffusion through two-factor learning,"
Energy Policy, Elsevier, vol. 52(C), pages 439-452.
- Lohwasser, Richard & Madlener, Reinhard, 2010. "Relating R&D and Investment Policies to CCS Market Diffusion Through Two-Factor Learning," FCN Working Papers 6/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
More about this item
Keywords
CCS; Prospect; Progress; Cost viability; Oxyfuel; Learning curve;All these keywords.
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:rensus:v:60:y:2016:i:c:p:1274-1285. 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/wps/find/journaldescription.cws_home/600126/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.