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Use of multicriteria analysis (MCA) for sustainable hydropower planning and management.
Vassoney, Erica; Mammoliti Mochet, Andrea; Comoglio, Claudio.
Afiliación
  • Vassoney E; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. Electronic address: erica.vassoney@polito.it.
  • Mammoliti Mochet A; ARPA Valle d'Aosta, Loc. Grande Charrière 44, 11020 Saint-Christophe, AO, Italy. Electronic address: a.mammolitimochet@arpa.vda.it.
  • Comoglio C; Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. Electronic address: claudio.comoglio@polito.it.
J Environ Manage ; 196: 48-55, 2017 Jul 01.
Article en En | MEDLINE | ID: mdl-28284137
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Energía Renovable Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Energía Renovable Tipo de estudio: Prognostic_studies Idioma: En Revista: J Environ Manage Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido