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Transdisciplinary Evaluation of Energy Scenarios for a German Village Using Multi-Criteria Decision Analysis

Author

Listed:
  • Ines Wilkens (nee Braune)

    () (Department of Energy Engineering, Berlin Institute of Technology, D-10623 Berlin, Germany)

  • Peter Schmuck

    () (Interdisciplinary Center of Sustainable Development, University of Goettingen, D-37077 Goettingen, Germany)

Abstract

Multi-Criteria Decision Analysis (MCDA) can assist local decision processes towards selecting renewable energy systems as it is able to manage qualitative data and offers opportunities to integrate knowledge from local stakeholders. However, little experience is available regarding practical applications of MCDA in real decision processes in communities on their path towards a renewable energy supply. Within the “Bioenergy-Region Ludwigsfelde” project, an MCDA evaluation has been applied to a small village on its way to becoming a “bioenergy village”. Here, MCDA has been combined with already established tools accompanying the process to becoming a “bioenergy village”, such as planning workshops, citizens’ meetings and best-practice trips. A comprehensive set of sustainability criteria was applied aimed at addressing the questions of local actors. An emphasis was placed on social criteria that comprise the perceived values of local impacts. In general, it was observed that MCDA provides many benefits for this application context. In particular, the group weighting using the SIMOS method demonstrated good results in the process. However, for real-world applications of MCDA, the challenge of data compilation in particular must be addressed.

Suggested Citation

  • Ines Wilkens (nee Braune) & Peter Schmuck, 2012. "Transdisciplinary Evaluation of Energy Scenarios for a German Village Using Multi-Criteria Decision Analysis," Sustainability, MDPI, Open Access Journal, vol. 4(4), pages 1-26, April.
  • Handle: RePEc:gam:jsusta:v:4:y:2012:i:4:p:604-629:d:17125
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    Citations

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    Cited by:

    1. Ribeiro, Fernando & Ferreira, Paula & Araújo, Madalena, 2013. "Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case," Energy, Elsevier, vol. 52(C), pages 126-136.
    2. Batubara, Marwan & Purwanto, Widodo Wahyu & Fauzi, Akhmad, 2016. "Proposing a decision-making process for the development of sustainable oil and gas resources using the petroleum fund: A case study of the East Natuna gas field," Resources Policy, Elsevier, vol. 49(C), pages 372-384.
    3. Siskos, Eleftherios & Tsotsolas, Nikos, 2015. "Elicitation of criteria importance weights through the Simos method: A robustness concern," European Journal of Operational Research, Elsevier, vol. 246(2), pages 543-553.
    4. repec:eee:rensus:v:74:y:2017:i:c:p:1323-1335 is not listed on IDEAS

    More about this item

    Keywords

    Multi-Criteria Decision Analysis; PROMETHEE; renewable energy systems; public participation; sustainable development;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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