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A dynamic programming approach for modeling low-carbon fuel technology adoption considering learning-by-doing effect

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  • Chen, Yuche
  • Zhang, Yunteng
  • Fan, Yueyue
  • Hu, Kejia
  • Zhao, Jianyou

Abstract

Promoting the adoption of low-carbon technologies in the transportation fuel portfolio is an effective strategy to mitigate greenhouse gas emissions from the transportation sector worldwide. However, as one of the most promising low-carbon fuels, cellulosic biofuel has not fully entered commercial production. Governments could provide guidance in developing cellulosic biofuel technologies, but no systematic approach has been proposed yet. We establish a dynamic programming framework for investigating time-dependent and adaptive decision-making processes to develop advanced fuel technologies. The learning-by-doing effect inherited in the technology development process is included in the framework. The proposed framework is applied in a case study to explore the most economical pathway for California to develop a solid cellulosic biofuel industry under its Low Carbon Fuel Standard. Our results show that cellulosic biofuel technology is playing a critical role in guaranteeing California’s 10% greenhouse gas emission reduction by 2020. Three to four billion gallons of cumulative production are needed to ensure that cellulosic biofuel is cost-competitive with petroleum-based fuels or conventional biofuels. Zero emission vehicle promoting policies will discourage the development of cellulosic biofuel. The proposed framework, with small adjustments, can also be applied to study new technology development in other energy sectors.

Suggested Citation

  • Chen, Yuche & Zhang, Yunteng & Fan, Yueyue & Hu, Kejia & Zhao, Jianyou, 2017. "A dynamic programming approach for modeling low-carbon fuel technology adoption considering learning-by-doing effect," Applied Energy, Elsevier, vol. 185(P1), pages 825-835.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p1:p:825-835
    DOI: 10.1016/j.apenergy.2016.10.094
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    1. Scarlat, Nicolae & Dallemand, Jean-François & Monforti-Ferrario, Fabio & Banja, Manjola & Motola, Vincenzo, 2015. "Renewable energy policy framework and bioenergy contribution in the European Union – An overview from National Renewable Energy Action Plans and Progress Reports," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 969-985.
    2. Yeh, Sonia & Farrell, Alexander E. & Plevin, Richard J & Sanstad, Alan & Weyant, John, 2008. "Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model," Institute of Transportation Studies, Working Paper Series qt1td1g7qw, Institute of Transportation Studies, UC Davis.
    3. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    4. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    5. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    6. Searchinger, Timothy & Heimlich, Ralph & Houghton, R. A. & Dong, Fengxia & Elobeid, Amani & Fabiosa, Jacinto F. & Tokgoz, Simla & Hayes, Dermot J. & Yu, Hun-Hsiang, 2008. "Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change," Staff General Research Papers Archive 12881, Iowa State University, Department of Economics.
    7. Hu, Kejia & Chen, Yuche, 2016. "Technological growth of fuel efficiency in european automobile market 1975–2015," Energy Policy, Elsevier, vol. 98(C), pages 142-148.
    8. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    9. Kim, Tae Hoon & Kim, Tae Hyun, 2014. "Overview of technical barriers and implementation of cellulosic ethanol in the U.S," Energy, Elsevier, vol. 66(C), pages 13-19.
    10. Hettinga, W.G. & Junginger, H.M. & Dekker, S.C. & Hoogwijk, M. & McAloon, A.J. & Hicks, K.B., 2009. "Understanding the reductions in US corn ethanol production costs: An experience curve approach," Energy Policy, Elsevier, vol. 37(1), pages 190-203, January.
    11. Azar, Christian & Lindgren, Kristian & Andersson, Bjorn A., 2003. "Global energy scenarios meeting stringent CO2 constraints--cost-effective fuel choices in the transportation sector," Energy Policy, Elsevier, vol. 31(10), pages 961-976, August.
    12. Carriquiry, Miguel A. & Du, Xiaodong & Timilsina, Govinda R., 2011. "Second generation biofuels: Economics and policies," Energy Policy, Elsevier, vol. 39(7), pages 4222-4234, July.
    13. Guo, Mingxin & Song, Weiping & Buhain, Jeremy, 2015. "Bioenergy and biofuels: History, status, and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 712-725.
    14. Chen, Yuche & Meier, Alan, 2016. "Fuel consumption impacts of auto roof racks," Energy Policy, Elsevier, vol. 92(C), pages 325-333.
    15. 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.
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