Use of multicriteria analysis (MCA) for sustainable hydropower planning and management

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Date: July 1, 2017
Publisher: Elsevier B.V.
Document Type: Report
Length: 328 words

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Abstract :

To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: Byline: Erica Vassoney [] (a,*), Andrea Mammoliti Mochet [] (b), Claudio Comoglio [] (a) Keywords Multicriteria analysis; Sustainable hydropower; Renewable energy; Water resources management; Decision-making process; Stakeholders involvement Highlights * MCA is increasingly used in decision-making related to sustainable hydropower. * Only 6,7% of the reviewed papers are considered exhaustive with limited shortcomings. * MCA sensitivity, stakeholders involvement, operational impact are often disregarded. * Quality indexes and reference criteria are proposed for future MCA applications. Abstract Multicriteria analysis (MCA) is a decision-making tool applied to a wide range of environmental management problems, including renewable energy planning and management. An interesting field of application of MCA is the evaluation and analysis of the conflicting aspects of hydropower (HP) exploitation, affecting the three pillars of sustainability and involving several different stakeholders. The present study was aimed at reviewing the state of the art of MCA applications to sustainable hydropower production and related decision-making problems, based on a detailed analysis of the scientific papers published over the last 15 years on this topic. The papers were analysed and compared, focusing on the specific features of the MCA methods applied in the described case studies, highlighting the general aspects of the MCA application (purpose, spatial scale, software used, stakeholders, etc.) and the specific operational/technical features of the selected MCA technique (methodology, criteria, evaluation, approach, sensitivity, etc.). Some specific limitations of the analysed case studies were identified and a set of "quality indexes" of an exhaustive MCA application were suggested as potential improvements for more effectively support decision-making processes in sustainable HP planning and management problems. Author Affiliation: (a) Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy (b) ARPA Valle d'Aosta, Loc. Grande Charriere 44, 11020 Saint-Christophe, AO, Italy * Corresponding author. Article History: Received 21 September 2016; Revised 22 February 2017; Accepted 26 February 2017

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Gale Document Number: GALE|A518373637