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Competitiveness of advanced and conventional biofuels: Results from least-cost modelling of biofuel competition in Germany

Author

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  • Millinger, M.
  • Ponitka, J.
  • Arendt, O.
  • Thrän, D.
Abstract
Techno-economic variables for advanced biofuels produced from lignocellulosic biomass have been scrutinized and combined with a newly developed transparent model for simulating the competitiveness between conventional and advanced biofuels for road transport in the medium to long term in Germany. The influence of learning effects and feedstock cost developments has been highlighted, including also gaseous fuels. Thorough sensitivity analyses were undertaken. Previously reported cost assumptions for advanced biofuels were found to have been too optimistic. The most cost-competitive biofuels for most of the time period remained conventional biodiesel and bioethanol, but the costs of these options and biomethane and Synthetic Natural Gas (bio-SNG) converged in the medium term and thus other factors will play a decisive role for market developments of biofuels. Feedstock cost uncertainties for the future remain a challenge for long-term planning, and low-cost short-rotation coppice may change the picture more than any other parameter. Of the advanced biofuels, bio-SNG was found significantly more cost-competitive and resource efficient than Fischer-Tropsch-diesel and lignocellulose-based ethanol, but still requiring a dedicated long-term policy. The results and the large sensitivities of biofuel competitiveness stress the need for more data transparency and for thorough sensitivity analyses of the results in similar system studies.

Suggested Citation

  • Millinger, M. & Ponitka, J. & Arendt, O. & Thrän, D., 2017. "Competitiveness of advanced and conventional biofuels: Results from least-cost modelling of biofuel competition in Germany," Energy Policy, Elsevier, vol. 107(C), pages 394-402.
  • Handle: RePEc:eee:enepol:v:107:y:2017:i:c:p:394-402
    DOI: 10.1016/j.enpol.2017.05.013
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    1. Martinsen, Dag & Funk, Carolin & Linssen, Jochen, 2010. "Biomass for transportation fuels--A cost-effective option for the German energy supply?," Energy Policy, Elsevier, vol. 38(1), pages 128-140, January.
    2. 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.
    3. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    4. Prins, M.J. & Ptasinski, K.J., 2005. "Energy and exergy analyses of the oxidation and gasification of carbon," Energy, Elsevier, vol. 30(7), pages 982-1002.
    5. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    6. Menten, Fabio & Chèze, Benoît & Patouillard, Laure & Bouvart, Frédérique, 2013. "A review of LCA greenhouse gas emissions results for advanced biofuels: The use of meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 108-134.
    7. Sunde, K. & Brekke, A. & Solberg, B., 2011. "Environmental impacts and costs of woody Biomass-to-Liquid (BTL) production and use -- A review," Forest Policy and Economics, Elsevier, vol. 13(8), pages 591-602, October.
    8. Pregger, Thomas & Nitsch, Joachim & Naegler, Tobias, 2013. "Long-term scenarios and strategies for the deployment of renewable energies in Germany," Energy Policy, Elsevier, vol. 59(C), pages 350-360.
    9. Åhman, Max, 2010. "Biomethane in the transport sector--An appraisal of the forgotten option," Energy Policy, Elsevier, vol. 38(1), pages 208-217, January.
    10. van Eijck, Janske & Batidzirai, Bothwell & Faaij, André, 2014. "Current and future economic performance of first and second generation biofuels in developing countries," Applied Energy, Elsevier, vol. 135(C), pages 115-141.
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    1. Ruth Delzeit & Robert Beach & Ruben Bibas & Wolfgang Britz & Jean Chateau & Florian Freund & Julien Lefevre & Franziska Schuenemann & Timothy Sulser & Hugo Valin & Bas van Ruijven & Matthias Weitzel &, 2020. "Linking Global CGE Models with Sectoral Models to Generate Baseline Scenarios: Approaches, Challenges, and Opportunities," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 162-195, June.
    2. Kulisic, Biljana & Dimitriou, Ioannis & Mola-Yudego, Blas, 2021. "From preferences to concerted policy on mandated share for renewable energy in transport," Energy Policy, Elsevier, vol. 155(C).
    3. Markus Millinger & Kathleen Meisel & Maik Budzinski & Daniela Thrän, 2018. "Relative Greenhouse Gas Abatement Cost Competitiveness of Biofuels in Germany," Energies, MDPI, vol. 11(3), pages 1-23, March.
    4. Kathleen Meisel & Markus Millinger & Karin Naumann & Franziska Müller-Langer & Stefan Majer & Daniela Thrän, 2020. "Future Renewable Fuel Mixes in Transport in Germany under RED II and Climate Protection Targets," Energies, MDPI, vol. 13(7), pages 1-18, April.
    5. Millinger, M. & Reichenberg, L. & Hedenus, F. & Berndes, G. & Zeyen, E. & Brown, T., 2022. "Are biofuel mandates cost-effective? - An analysis of transport fuels and biomass usage to achieve emissions targets in the European energy system," Applied Energy, Elsevier, vol. 326(C).
    6. Bryngemark, Elina, 2019. "Second generation biofuels and the competition for forest raw materials: A partial equilibrium analysis of Sweden," Forest Policy and Economics, Elsevier, vol. 109(C).
    7. 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).
    8. Harahap, Fumi & Silveira, Semida & Khatiwada, Dilip, 2019. "Cost competitiveness of palm oil biodiesel production in Indonesia," Energy, Elsevier, vol. 170(C), pages 62-72.
    9. Vasilakou, Konstantina & Nimmegeers, Philippe & Thomassen, Gwenny & Billen, Pieter & Van Passel, Steven, 2023. "Assessing the future of second-generation bioethanol by 2030 – A techno-economic assessment integrating technology learning curves," Applied Energy, Elsevier, vol. 344(C).
    10. Aui, Alvina & Wang, Yu, 2023. "Cellulosic ethanol production: Assessment of the impacts of learning and plant capacity," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    11. Qing Guo & Wenlan You, 2023. "Evaluating the International Competitiveness of RCEP Countries’ Biomass Products in the Context of the New Development Paradigm," Sustainability, MDPI, vol. 15(5), pages 1-27, February.

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