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Multi Criteria Analysis for bioenergy systems assessments

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  • Buchholz, Thomas
  • Rametsteiner, Ewald
  • Volk, Timothy A.
  • Luzadis, Valerie A.
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    Abstract

    Sustainable bioenergy systems are, by definition, embedded in social, economic, and environmental contexts and depend on support of many stakeholders with different perspectives. The resulting complexity constitutes a major barrier to the implementation of bioenergy projects. The goal of this paper is to evaluate the potential of Multi Criteria Analysis (MCA) to facilitate the design and implementation of sustainable bioenergy projects. Four MCA tools (Super Decisions, DecideIT, Decision Lab, NAIADE) are reviewed for their suitability to assess sustainability of bioenergy systems with a special focus on multi-stakeholder inclusion. The MCA tools are applied using data from a multi-stakeholder bioenergy case study in Uganda. Although contributing to only a part of a comprehensive decision process, MCA can assist in overcoming implementation barriers by (i) structuring the problem, (ii) assisting in the identification of the least robust and/or most uncertain components in bioenergy systems and (iii) integrating stakeholders into the decision process. Applying the four MCA tools to a Ugandan case study resulted in a large variability in outcomes. However, social criteria were consistently identified by all tools as being decisive in making a bioelectricity project viable.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 2 (February)
    Pages: 484-495

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:2:p:484-495

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    Web page: http://www.elsevier.com/locate/enpol

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    Keywords: Multi Criteria Analysis Bioenergy Sustainability;

    References

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    Citations

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    Cited by:
    1. Mafakheri, Fereshteh & Nasiri, Fuzhan, 2014. "Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions," Energy Policy, Elsevier, vol. 67(C), pages 116-126.
    2. Mikkel Bojesen & Luc Boerboom & Hans Skov-Petersen, 2014. "Towards a sustainable capacity expansion of the Danish biogas sector," IFRO Working Paper 2014/03, University of Copenhagen, Department of Food and Resource Economics.
    3. Szántó, Richárd, 2012. "Több szempontú részvételi döntések a fenntarthatósági értékelésekben. A legnépszerűbb módszerek összehasonlítása
      [Participatory multi-criteria decision analysis. A comparison of me
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1336-1355.
    4. Fontana, Veronika & Radtke, Anna & Bossi Fedrigotti, Valérie & Tappeiner, Ulrike & Tasser, Erich & Zerbe, Stefan & Buchholz, Thomas, 2013. "Comparing land-use alternatives: Using the ecosystem services concept to define a multi-criteria decision analysis," Ecological Economics, Elsevier, vol. 93(C), pages 128-136.
    5. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    6. Tate, Graham & Mbzibain, Aurelian, 2011. "The future contribution of bioenergy enterprises to rural business viability in the United Kingdom," International Journal of Agricultural Management, Institute of Agricultural Management & International Farm Management Association, vol. 1(2), October.
    7. Blumer, Yann B. & Stauffacher, Michael & Lang, Daniel J. & Hayashi, Kiyotada & Uchida, Susumu, 2013. "Non-technical success factors for bioenergy projects—Learning from a multiple case study in Japan," Energy Policy, Elsevier, vol. 60(C), pages 386-395.
    8. Scott, James A. & Ho, William & Dey, Prasanta K., 2013. "Strategic sourcing in the UK bioenergy industry," International Journal of Production Economics, Elsevier, vol. 146(2), pages 478-490.
    9. Kurka, Thomas & Blackwood, David, 2013. "Selection of MCA methods to support decision making for renewable energy developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 225-233.
    10. Ren, Hongbo & Gao, Weijun & Zhou, Weisheng & Nakagami, Ken'ichi, 2009. "Multi-criteria evaluation for the optimal adoption of distributed residential energy systems in Japan," Energy Policy, Elsevier, vol. 37(12), pages 5484-5493, December.

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