4.7 Article

Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the Sustainable Energy Action Plant

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.omega.2016.07.005

关键词

Multiple criteria analysis; Scenarios; Robustness analysis; OR in energy

资金

  1. project Rural Web Energy Learning Network for Action - eReNet [IEE/10/224/SI2.593412]
  2. Intelligent Energy - Europe (IEE) Programme

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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. (C) 2016 Elsevier Ltd. All rights reserved.

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