Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the Sustainable Energy Action Plan |
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| Affiliation: | 1. National Technical University of Athens, School of Electrical & Computer Engineering, Management & Decision Support Systems Laboratory (EPU-NTUA), 9, Iroon Polytechniou Street, 157 80 Athens, Greece;2. ESSCA École de Management, 55 quai Alphonse Le Gallo, 92513 Paris, France;3. Financial Engineering Laboratory, Technical University of Crete, School of Production Engineering and Management, 73100 Chania, Greece;4. Audencia Business School, 8 route de la Jonelire – B.P. 31222, 44312 Nantes Cedex 3, France;1. University of Missouri – St. Louis, United States;2. Wake Forest University, United States;3. Naval Personnel Research Study and Technology, United States;4. Integral Analytics, United States;1. Department of Business, Universitat Autònoma de Barcelona, Spain;2. Instituto de Investigaciones Económicas y Empresariales, Universidad Michoacana de San Nicolás de Hidalgo, Mexico;1. Kaunas University of Technology, Faculty of Electrical and Electronics Engineering, Studentu g., Kaunas, Lithuania;2. Malta College of Arts, Science and Technology (MCAST), Institute of Electrical and Electronics Engineering, MCAST Main Campus, Triq Kordin, Paola PLA 9032, Malta;3. Oxford Brookes University, Faculty of Technology, Design and Environment, Wheatley Campus, Oxford, United Kingdom;4. Brian Azzopardi & Associates, Malta;5. The University of Manchester, Electrical Energy and Power Systems Group, Manchester, United Kingdom;1. City Assembly of Belgrade, Energy Administration, Kraljice Marije 1, 11000 Belgrade, Serbia;2. University of Belgrade, Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia;1. CERIS, CESUR, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal;2. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal |
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| Abstract: | ![]()
One of the major challenges for the implementation of local energy planning is the successful development of a Sustainable Energy Action Plan (SEAP) by the local authorities (especially within the framework of their participation to the Covenant of Mayors’ initiative). This aspect constitutes a decision making problem, since the local authorities have to identify the best fields of actions and opportunities for reaching their long-term CO2 reduction target. However, the already available methods and tools do not offer an integrated framework for the SEAPs’ development and especially the selection of sustainable Renewable Energy Sources (RES) and Rational Use of Energy (RUE) technologies. In this context, the aim of this paper is to present a participatory supportive framework for the implementation of local energy planning. At the first level, the proposed approach incorporates the development of alternative Scenarios of Actions (using knowledge-based process, participatory approach and aspiration level). At the second level, a direct and transparent multicriteria decision support is introduced, in order to evaluate the feasible Scenarios. It includes the application of a multicriteria ordinal regression approach and an extreme ranking analysis method for the estimation of the best and worst possible ranking position of each Scenario. The results from the pilot appraisal of the methodological approach to a “real” problem are presented and discussed. The adopted approach contributes to the selection of the most appropriate combination of RES/RUE actions, supporting in this way the local authorities to the development of their SEAP. |
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| Keywords: | Multiple criteria analysis Scenarios Robustness analysis OR in energy |
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