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dc.contributor.authorMASLOV, Nicolas
dc.contributor.authorCHARPENTIER, Jean-Frederic
dc.contributor.author
 hal.structure.identifier
CLARAMUNT, Christophe
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorBROSSET, David
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2014
dc.date.submitted2014
dc.identifier.issn2220-9964
dc.identifier.urihttp://hdl.handle.net/10985/8701
dc.description.abstractThe objective of this paper is to devise a strategy for developing a flexible tool to efficiently install a marine energy farm in a suitable area. The current methodology is applied to marine tidal current, although it can be extended to other energy contexts with some adaptations. We introduce a three-step approach that searches for marine farm sites and technological solutions. The methodology applied is based on a combination of Geographic Information Systems (GIS), multi-criteria analysis (MCA) and an optimization algorithm. The integration of GIS and MCA is at the core of the search process for the best-suited marine areas, taking into account geographical constraints, such as human activity, pressure on the environment and technological opportunities. The optimization step of the approach evaluates the most appropriate technologies and farm configurations in order to maximize the quantity of energy produced while minimizing the cost of the farm. Three main criteria are applied to finally characterize a location for a marine energy farm: the global cost of the project, the quantity of energy produced and social acceptance. The social acceptance criterion is evaluated by the MCA method, Electre III, while the optimization of the energy cost is approximated by a genetic algorithm. The whole approach is illustrated by a case study applied to a maritime area in North-West France.
dc.description.sponsorshipNicolas Maslov’s research has been founded by the Brittany Region. The authors also thank the SHOM for providing the marine current data.
dc.language.isoen
dc.publisherMDPI
dc.rightsPost-print
dc.subjectdecision-aid system
dc.subjectElectre III
dc.subjectGenetic algorithm
dc.subjectGIS
dc.subjectmarine energy
dc.subjectmulti-criteria analysis
dc.subjectsite evaluation
dc.titleA Geographical - Based Multi - Criteria Approach for Marine Energy Farm Planning
dc.identifier.doi10.3390/ijgi3020781
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halInformatique: Modélisation et simulation
ensam.audienceInternationale
ensam.page781-799
ensam.journalISPRS International Journal of Geo-Information
ensam.volume3
ensam.issue2
hal.identifierhal-01072146
hal.version1
hal.statusaccept


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