IDEAS home Printed from https://ideas.repec.org/p/leo/wpaper/273.html
   My bibliography  Save this paper

Biomasse and CCS: The Influence of the Learning Effect

Author

Listed:
  • Christian JONEN
  • Audrey LAUDE

Abstract

No abstract is available for this item.

Suggested Citation

  • Christian JONEN & Audrey LAUDE, 2011. "Biomasse and CCS: The Influence of the Learning Effect," LEO Working Papers / DR LEO 273, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  • Handle: RePEc:leo:wpaper:273
    as

    Download full text from publisher

    File URL: http://data.leo-univ-orleans.fr/media/search-works/273/dr201114.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    2. Baker, Erin & Chon, Haewon & Keisler, Jeffrey, 2009. "Advanced solar R&D: Combining economic analysis with expert elicitations to inform climate policy," Energy Economics, Elsevier, vol. 31(Supplemen), pages 37-49.
    3. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    4. Audrey Laude & Olivia Ricci, 2010. "Can Carbon Capture and Storage on small sources be profitable? An application to the ethanol sector," Post-Print hal-02169664, HAL.
    5. Dominique Finon, 2010. "The Efficiency of Policy Instruments for the Deployment of CCS as a Large-sized Technology," Working Papers EPRG 1035, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. 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.
    7. Joseph E. Aldy & Alan J. Krupnick & Richard G. Newell & Ian W. H. Parry & William A. Pizer, 2010. "Designing Climate Mitigation Policy," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 903-934, December.
    8. Jamasb, T. & Köhler, J., 2007. "Learning Curves For Energy Technology and Policy Analysis: A Critical Assessment," Cambridge Working Papers in Economics 0752, Faculty of Economics, University of Cambridge.
    9. 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.
    10. Grubler, Arnulf & Messner, Sabine, 1998. "Technological change and the timing of mitigation measures," Energy Economics, Elsevier, vol. 20(5-6), pages 495-512, December.
    11. 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.
    12. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    13. de Coninck, Heleen & Stephens, Jennie C. & Metz, Bert, 2009. "Global learning on carbon capture and storage: A call for strong international cooperation on CCS demonstration," Energy Policy, Elsevier, vol. 37(6), pages 2161-2165, June.
    14. Blyth, William & Bunn, Derek & Kettunen, Janne & Wilson, Tom, 2009. "Policy interactions, risk and price formation in carbon markets," Energy Policy, Elsevier, vol. 37(12), pages 5192-5207, December.
    15. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    16. Olivia Ricci & Audrey Laude, 2010. "Can Carbon Capture and Storage on small sources be profitable? An application to the ethanol sector," Post-Print hal-02169671, HAL.
    17. Jamie Sanderson & Sardar M. N. Islam, 2007. "Climate Change and Economic Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59012-0, December.
    18. Murto, Pauli, 2007. "Timing of investment under technological and revenue-related uncertainties," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1473-1497, May.
    19. Ferioli, F. & Schoots, K. & van der Zwaan, B.C.C., 2009. "Use and limitations of learning curves for energy technology policy: A component-learning hypothesis," Energy Policy, Elsevier, vol. 37(7), pages 2525-2535, July.
    20. Lindfeldt, Erik G. & Westermark, Mats O., 2008. "System study of carbon dioxide (CO2) capture in bio-based motor fuel production," Energy, Elsevier, vol. 33(2), pages 352-361.
    21. Szolgayova, Jana & Fuss, Sabine & Obersteiner, Michael, 2008. "Assessing the effects of CO2 price caps on electricity investments--A real options analysis," Energy Policy, Elsevier, vol. 36(10), pages 3974-3981, October.
    22. Mathews, John A., 2008. "Carbon-negative biofuels," Energy Policy, Elsevier, vol. 36(3), pages 940-945, March.
    23. Laurikka, Harri, 2006. "Option value of gasification technology within an emissions trading scheme," Energy Policy, Elsevier, vol. 34(18), pages 3916-3928, December.
    24. Abadie, Luis M. & Chamorro, José M., 2008. "European CO2 prices and carbon capture investments," Energy Economics, Elsevier, vol. 30(6), pages 2992-3015, November.
    25. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
    26. Read, Peter & Lermit, Jonathan, 2005. "Bio-energy with carbon storage (BECS): A sequential decision approach to the threat of abrupt climate change," Energy, Elsevier, vol. 30(14), pages 2654-2671.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moreira, Jose R. & Pacca, Sergio A. & Parente, Virginia, 2014. "The future of oil and bioethanol in Brazil," Energy Policy, Elsevier, vol. 65(C), pages 7-15.

    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.
    1. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
    2. Laude, Audrey & Jonen, Christian, 2013. "Biomass and CCS: The influence of technical change," Energy Policy, Elsevier, vol. 60(C), pages 916-924.
    3. 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.
    4. 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.
    5. 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).
    6. Brauneis, Alexander & Mestel, Roland & Palan, Stefan, 2013. "Inducing low-carbon investment in the electric power industry through a price floor for emissions trading," Energy Policy, Elsevier, vol. 53(C), pages 190-204.
    7. Carmen Schiel & Simon Glöser-Chahoud & Frank Schultmann, 2019. "A real option application for emission control measures," Journal of Business Economics, Springer, vol. 89(3), pages 291-325, April.
    8. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
    9. Zhang, Mingming & Zhou, Dequn & Zhou, Peng, 2014. "A real option model for renewable energy policy evaluation with application to solar PV power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 944-955.
    10. Zhu, Lei & Fan, Ying, 2013. "Modelling the investment in carbon capture retrofits of pulverized coal-fired plants," Energy, Elsevier, vol. 57(C), pages 66-75.
    11. Zhang, Mingming & Tang, Yamei & Liu, Liyun & Zhou, Dequn, 2022. "Optimal investment portfolio strategies for power enterprises under multi-policy scenarios of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    12. 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).
    13. Shahnazari, Mahdi & McHugh, Adam & Maybee, Bryan & Whale, Jonathan, 2014. "Evaluation of power investment decisions under uncertain carbon policy: A case study for converting coal fired steam turbine to combined cycle gas turbine plants in Australia," Applied Energy, Elsevier, vol. 118(C), pages 271-279.
    14. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    15. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    16. 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.
    17. Linnerud, Kristin & Andersson, Ane Marte & Fleten, Stein-Erik, 2014. "Investment timing under uncertain renewable energy policy: An empirical study of small hydropower projects," Energy, Elsevier, vol. 78(C), pages 154-164.
    18. Luis M. Abadie & José M. Chamorro, 2009. "Monte Carlo valuation of natural gas investments," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 10-22, January.
    19. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    20. Lee, Shun-Chung & Shih, Li-Hsing, 2010. "Renewable energy policy evaluation using real option model -- The case of Taiwan," Energy Economics, Elsevier, vol. 32(Supplemen), pages 67-78, September.

    Corrections

    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:leo:wpaper:273. 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: Sébastien Galanti (email available below). General contact details of provider: https://edirc.repec.org/data/leorlfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.