IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v197y2009i3p1075-1083.html
   My bibliography  Save this article

Use of the equivalent attribute technique in multi-criteria planning of local energy systems

Author

Listed:
  • Løken, Espen
  • Botterud, Audun
  • Holen, Arne T.

Abstract

This paper discusses how the equivalent attribute technique (EAT) can be used to improve the comprehensibility of a multi-attribute utility theory study. When using EAT, 'vague' expected total utility values are converted into equivalent values for one of the attributes being considered, often an economic attribute. Two models are considered: a simplified linear model, and a more advanced non-linear model that includes the DM's strength-of-preference and risk attitude. EAT is particularly useful in distinguishing between alternatives with similar utility values. When the difference between utility values is larger, the choice among the alternatives should be clear, and EAT therefore becomes less useful. The technique can still be used, although extra care is needed when choosing the equivalent attribute. A local energy-planning problem is used as a case study to illustrate and exemplify the EAT approach.

Suggested Citation

  • Løken, Espen & Botterud, Audun & Holen, Arne T., 2009. "Use of the equivalent attribute technique in multi-criteria planning of local energy systems," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1075-1083, September.
  • Handle: RePEc:eee:ejores:v:197:y:2009:i:3:p:1075-1083
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(08)00278-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matos, Manuel A., 2007. "Decision under risk as a multicriteria problem," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1516-1529, September.
    2. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834, October.
    3. Ralph L. Keeney & Timothy L. McDaniels & Cary Swoveland, 1995. "Evaluating Improvements in Electric Utility Reliability at British Columbia Hydro," Operations Research, INFORMS, vol. 43(6), pages 933-947, December.
    4. Schulz, Volkhard & Stehfest, Harald, 1984. "Regional energy supply optimization with multiple objectives," European Journal of Operational Research, Elsevier, vol. 17(3), pages 302-312, September.
    5. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    6. Watson, Stephen R., 1981. "Decision analysis as a replacement for cost/benefit analysis," European Journal of Operational Research, Elsevier, vol. 7(3), pages 242-248, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    2. 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.
    3. 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.
    4. Doukas, Haris, 2013. "Modelling of linguistic variables in multicriteria energy policy support," European Journal of Operational Research, Elsevier, vol. 227(2), pages 227-238.
    5. Kurka, Thomas & Blackwood, David, 2013. "Participatory selection of sustainability criteria and indicators for bioenergy developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 92-102.
    6. Spyridaki, Niki-Artemis & Banaka, Stefania & Flamos, Alexandros, 2016. "Evaluating public policy instruments in the Greek building sector," Energy Policy, Elsevier, vol. 88(C), pages 528-543.
    7. Zhang, Weishi & Wang, Can & Zhang, Long & Xu, Ying & Cui, Yuanzheng & Lu, Zifeng & Streets, David G., 2018. "Evaluation of the performance of distributed and centralized biomass technologies in rural China," Renewable Energy, Elsevier, vol. 125(C), pages 445-455.
    8. Shen, Yung-Chi & Lin, Grace T.R. & Li, Kuang-Pin & Yuan, Benjamin J.C., 2010. "An assessment of exploiting renewable energy sources with concerns of policy and technology," Energy Policy, Elsevier, vol. 38(8), pages 4604-4616, August.
    9. Stelios Grafakos & Alexandros Flamos & Elena Marie Enseñado, 2015. "Preferences Matter: A Constructive Approach to Incorporating Local Stakeholders’ Preferences in the Sustainability Evaluation of Energy Technologies," Sustainability, MDPI, vol. 7(8), pages 1-39, August.
    10. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.
    11. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salvatore Corrente & Salvatore Greco & Benedetto Matarazzo & Roman Słowiński, 2016. "Robust ordinal regression for decision under risk and uncertainty," Journal of Business Economics, Springer, vol. 86(1), pages 55-83, January.
    2. KARRI PASANEN & MIKKO KURTTILA & JOUNI PYKÄlÄINEN & JYRKI KANGAS & PEKKA LESKINEN, 2005. "Mesta — Non-Industrial Private Forest Owners' Decision-Support Environment For The Evaluation Of Alternative Forest Plans Over The Internet," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 601-620.
    3. Gerd Gigerenzer, 1997. "Bounded Rationality: Models of Fast and Frugal Inference," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(II), pages 201-218, June.
    4. Shuang Liu & Kirsten Maclean & Cathy Robinson, 2019. "A cost-effective framework to prioritise stakeholder participation options," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 221-241, November.
    5. Smith, Chris M. & Shaw, Duncan, 2019. "The characteristics of problem structuring methods: A literature review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 403-416.
    6. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    7. Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
    8. Perrels, Adriaan & Molarius, Riitta & Porthin, Markus & Rosqvist, Tony, 2008. "Testing a Flood Protection Case by Means of a Group Decision Support System," Discussion Papers 449, VATT Institute for Economic Research.
    9. Ahrens, Heinz & Kantelhardt, Jochen, 2007. "Integrating Ecological And Economic Aspects In Land Use Concepts: Some Conclusions From A Regional Land Use Concept For Bayerisches Donauried," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7986, Agricultural Economics Society.
    10. Baudry, Gino & Delrue, Florian & Legrand, Jack & Pruvost, Jérémy & Vallée, Thomas, 2017. "The challenge of measuring biofuel sustainability: A stakeholder-driven approach applied to the French case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 933-947.
    11. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    12. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.
    13. Guo, Mengzhuo & Zhang, Qingpeng & Liao, Xiuwu & Chen, Frank Youhua & Zeng, Daniel Dajun, 2021. "A hybrid machine learning framework for analyzing human decision-making through learning preferences," Omega, Elsevier, vol. 101(C).
    14. Yuval Rottenstreich & Alex Markle & Johannes Müller-Trede, 2023. "Risky Sure Things," Management Science, INFORMS, vol. 69(8), pages 4707-4720, August.
    15. Viral Gupta & P. K. Kapur & Deepak Kumar, 2019. "Prioritizing and Optimizing Disaster Recovery Solution using Analytic Network Process and Multi Attribute Utility Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 171-207, January.
    16. Florian Methling & Rüdiger Nitzsch, 2019. "Thematic portfolio optimization: challenging the core satellite approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 133-154, June.
    17. Rogerson, Ellen C. & Lambert, James H., 2012. "Prioritizing risks via several expert perspectives with application to runway safety," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 22-34.
    18. Figueira, Jose & Roy, Bernard, 2002. "Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure," European Journal of Operational Research, Elsevier, vol. 139(2), pages 317-326, June.
    19. P. S. Nagpaul & Santanu Roy, 2003. "Constructing a multi-objective measure of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 383-402, March.
    20. Robin Gregory & Ralph L. Keeney, 2017. "A Practical Approach to Address Uncertainty in Stakeholder Deliberations," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 487-501, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:197:y:2009:i:3:p:1075-1083. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.