IDEAS home Printed from https://ideas.repec.org/a/aen/journl/2006se-a06.html
   My bibliography  Save this article

Analysis of Technological Portfolios for CO2 Stabilizations and Effects of Technological Changes

Author

Listed:
  • Fuminori Sano, Keigo Akimoto, Takashi Homma and Toshimasa Tomoda

Abstract

In this study, cost-effective technological options to stabilize CO2 concentrations at 550, 500, and 450 ppmv are evaluated using a world energy systems model of linear programming with a high regional resolution. This model treats technological change endogenously for wind power, photovoltaics, and fuel-cell vehicles, which are technologies of mass production and are considered to follow the Òlearning by doingÓ process. Technological changes induced by climate policies are evaluated by maintaining the technological changes at the levels of the base case wherein there is no climate policy. The results achieved through model analyses ixnclude 1) cost-effective technological portfolios, including carbon capture and storage, marginal CO2 reduction costs, and increases in energy system cost for three levels of stabilization and 2) the effect of the induced technological change on the above mentioned factors. A sensitivity analysis is conducted with respect to the learning rate.

Suggested Citation

  • Fuminori Sano, Keigo Akimoto, Takashi Homma and Toshimasa Tomoda, 2006. "Analysis of Technological Portfolios for CO2 Stabilizations and Effects of Technological Changes," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 141-162.
    • Handle: RePEc:aen:journl:2006se-a06
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=2137
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Coppens, Léo & Dietz, Simon & Venmans, Frank, 2024. "Optimal climate policy under exogenous and endogenous technical change: making sense of the different approaches," LSE Research Online Documents on Economics 124548, London School of Economics and Political Science, LSE Library.
    2. Bibas, Ruben & Méjean, Aurélie & Hamdi-Cherif, Meriem, 2015. "Energy efficiency policies and the timing of action: An assessment of climate mitigation costs," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 137-152.
    3. Kuik, Onno & Brander, Luke & Tol, Richard S.J., 2009. "Marginal abatement costs of greenhouse gas emissions: A meta-analysis," Energy Policy, Elsevier, vol. 37(4), pages 1395-1403, April.
    4. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    5. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    6. Rout, Ullash K. & Akimoto, Keigo & Sano, Fuminori & Tomoda, Toshimasa, 2010. "Introduction of subsidisation in nascent climate-friendly learning technologies and evaluation of its effectiveness," Energy Policy, Elsevier, vol. 38(1), pages 520-532, January.
    7. 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.
    8. Graham Palmer, 2018. "A Biophysical Perspective of IPCC Integrated Energy Modelling," Energies, MDPI, vol. 11(4), pages 1-17, April.
    9. Nakata, Toshihiko & Sato, Takemi & Wang, Hao & Kusunoki, Tomoya & Furubayashi, Takaaki, 2011. "Modeling technological learning and its application for clean coal technologies in Japan," Applied Energy, Elsevier, vol. 88(1), pages 330-336, January.
    10. 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.
    11. Xu, Zhongming & Fang, Chenhao & Ma, Tieju, 2020. "Analysis of China’s olefin industry using a system optimization model considering technological learning and energy consumption reduction," Energy, Elsevier, vol. 191(C).
    12. Bashmakov, Igor, 2007. "Three laws of energy transitions," Energy Policy, Elsevier, vol. 35(7), pages 3583-3594, July.
    13. Zakerinia, Saleh, 2018. "Understanding the Role of Transportation in Meeting California’s Greenhouse Gas Emissions Reduction Target: A Focus on Technology Forcing Policies, Interactions with the Electric Sector and Mitigation," Institute of Transportation Studies, Working Paper Series qt0r69m651, Institute of Transportation Studies, UC Davis.
    14. 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

    JEL classification:

    • F0 - International Economics - - General

    Statistics

    Access and download statistics

    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:aen:journl:2006se-a06. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.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.