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Journal ArticleDOI

Renewable energy projects: structuring a multi-criteria group decision-making framework

01 May 2003-Renewable Energy (Elsevier)-Vol. 28, Iss: 6, pp 961-973
TL;DR: An applicable group decision-making framework for assisting with multi-criteria analysis in renewable energy projects, utilizing the PROMETHEE II outranking method is described, providing a user-friendly approach, promotes the synergy between different actors, and could pave a way towards consensus.
About: This article is published in Renewable Energy.The article was published on 2003-05-01. It has received 357 citations till now. The article focuses on the topics: Group decision-making.
Citations
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Journal ArticleDOI
TL;DR: In this article, the authors reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation.
Abstract: Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO2 emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.

1,868 citations

Journal ArticleDOI
TL;DR: A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed and it is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE.
Abstract: Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in sustainable energy management. The techniques provide solutions to the problems involving conflicting and multiple objectives. Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed. A classification on application areas and the year of application is presented to highlight the trends. It is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple methods, development of interactive decision support systems and application of fuzzy methods to tackle uncertainties in the data is observed in the published literature.

1,715 citations

Journal ArticleDOI
TL;DR: A classification scheme and a comprehensive literature review are presented in order to uncover, classify, and interpret the current research on PROMETHEE methodologies and applications.

1,325 citations

Journal ArticleDOI
TL;DR: In this paper, the authors describe various methods developed for aiding decision makers in reaching better decisions, including value measurement models, goal, aspiration and reference level models, and outranking models.
Abstract: Most decision making requires the consideration of several conflicting objectives. The term multiple criteria decision analysis (MCDA) describes various methods developed for aiding decision makers in reaching better decisions. Energy planning problems are complex problems with multiple decision makers and multiple criteria. Therefore, these problems are quite suited to the use of MCDA. A multitude of MCDA methods exists. These methods can be divided in three main groups; value measurement models, goal, aspiration and reference level models, and outranking models. Methods from all of these groups have been applied to energy planning problems, particularly in the evaluation of alternative electricity supply strategies. Each of the methods has its advantages and drawbacks. However, we cannot conclude that one method generally is better suited than the others for energy planning problems. A good alternative might be to apply more than one method, either in combination to make use of the strengths of both methods, or in parallel to get a broader decision basis for the decision maker. Until now, studies of MCDA in energy planning have most often considered energy networks with only one energy carrier. More advanced energy systems with multiple energy carriers have been neglected, even though this field ought to be suitable for use of MCDA due to its high complexity, many decision makers and many conflicting criteria.

633 citations

Journal ArticleDOI
01 Jun 2010-Energy
TL;DR: In this paper, the authors proposed an integrated VIKOR-AHP methodology to determine the best renewable energy alternative for Turkey by using pairwise comparison matrices of AHP.

616 citations

References
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Journal ArticleDOI
TL;DR: In this article, the Promethee methods, a new class of outranking methods in multicriteria analysis, have been proposed, whose main features are simplicity, clearness and stability.

1,996 citations

Posted Content
TL;DR: The main features of the Promethee methods are simplicity, clearness and stability, a new class of outranking methods in multicriteria analysis, and some further problems are discussed.
Abstract: Abstract In this paper, we present the Promethee methods, a new class of outranking methods in multicriteria analysis. Their main features are simplicity, clearness and stability. The notion of generalized criterion is used to construct a valued outranking relation. All the parameters to be defined have an economic signification, so that the decision maker can easily fix them. Two ways of treatment are proposed: It is possible to obtain either a partial preorder ( Promethee I) or a complete one ( Promethee II), both on a finite set of feasible actions. A comparison is made with the Electre III method. The stability of the results given by the two methods is analysed. Numerical applications are given in order to illustrate the properties of the new methods and some further problems are discussed.

1,887 citations

Book
01 Apr 1992
TL;DR: The Set of Actions.
Abstract: The Set of Actions. Preference Modeling. The Basic Concepts of Multicriteria Decision--Aid. Multiple Attribute Utility Theory. Outranking Methods. Interactive Methods. Miscellaneous Questions. Bibliography. Index to Main Subject Areas.

1,198 citations

Journal ArticleDOI
TL;DR: It is demonstrated that this approach is more realistic and produces a more reliable ranking for problems, such as the evaluation of alternative energy exploitation scenarios, where the input data are not well defined.

422 citations

Journal ArticleDOI
TL;DR: Based on the experience in real-life applications, it is discussed how multicriteria decision aid (MCDA) methods can be used successfully in environmental planning and decision processes, thus making the decision process traceable and transparent.
Abstract: In environmental planning and decision processes several alternatives are analyzed in terms of multiple noncommensurate criteria, and many different stakeholders with conflicting preferences are involved Based on our experience in real-life applications, we discuss how multicriteria decision aid (MCDA) methods can be used successfully in such processes MCDA methods support these processes by providing a framework for collecting, storing, and processing all relevant information, thus making the decision process traceable and transparent It is therefore possible to understand and explain why, under several conflicting preferences, a particular decision was made The MCDA framework also makes the requirements for new information explicit, thus supporting the allocation of resources for the process

384 citations