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Learning in dedicated wood production systems: Past trends, future outlook and implications for bioenergy

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  • de Wit, Marc
  • Junginger, Martin
  • Faaij, André

Abstract

This paper assesses the learning potential of dedicated wood production systems to boost yields and reduce production costs. In particular, the paper analyses past trends and provides a future outlook of developments in dedicated wood production for three cases: eucalyptus production in Brazil, poplar production in Italy and willow production in Sweden. A main objective of this paper is to evaluate the extent to which experience curves can be devised for conventional woody plantation systems, and whether these can also be applied to short rotation cropping (SRC) production systems. For current average SRC production systems, Italian poplar shows the highest cost at 5.5 €GJ−1 followed by Swedish willow at 4.4 €GJ−1 and Brazilian eucalyptus is produced to the lowest costs at 2.8 €GJ−1. It was assessed to what extent production costs can be reduced per step in the production cycle and how this affects the minimum cost levels that can ultimately be achieved. Ultimate cost reduction could lead to delivered costs of 2.2 €GJ−1 for poplar, 1.9 €GJ−1 for willow and 1.9 €GJ−1 for eucalyptus on better quality lands. Based on historic cost data and production trends, experience curves were applied providing progress ratios for poplar in Italy and eucalyptus in Brazil. Brazilian eucalyptus production follows a steeper slope (63–73%) than poplar in Italy (71–78%). The extent to, and rate at, which cost reductions can occur within the next 20 years were evaluated by combining current costs, minimum cost levels and progress ratios with ranges in European and global biomass demand projections. This shows that, at the assumed growth rates for biomass production in Europe and for global production, minimum cost levels can be reached within the next two decades for all cases.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:19:y:2013:i:c:p:417-432
    DOI: 10.1016/j.rser.2012.10.038
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    6. 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.
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    9. Matthias Buyle & Amaryllis Audenaert & Pieter Billen & Katrien Boonen & Steven Van Passel, 2019. "The Future of Ex-Ante LCA? Lessons Learned and Practical Recommendations," Sustainability, MDPI, vol. 11(19), pages 1-24, October.
    10. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "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," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
    11. Raslavičius, Laurencas & Kučinskas, Vytautas & Jasinskas, Algirdas & Bazaras, Žilvinas, 2014. "Identifying renewable energy and building renovation solutions in the Baltic Sea region: The case of Kaliningrad Oblast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 196-203.
    12. 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.
    13. Hauk, Sebastian & Knoke, Thomas & Wittkopf, Stefan, 2014. "Economic evaluation of short rotation coppice systems for energy from biomass—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 435-448.
    14. Jonker, J.G.G. & van der Hilst, F. & Junginger, H.M. & Cavalett, O. & Chagas, M.F. & Faaij, A.P.C., 2015. "Outlook for ethanol production costs in Brazil up to 2030, for different biomass crops and industrial technologies," Applied Energy, Elsevier, vol. 147(C), pages 593-610.

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