A flexible decision-aid system for sites selection and technology options for a marine energy system
TypeCommunications avec actes
The aim of the paper is to introduce a flexible system whose objective is to help industrials and decision-makers to efficiently install a marine energy farm in a suitable area and to facilitate expertise between stakeholders. We introduced a three-step approach which allows to select marine farm sites and suitable technological solutions. The system developed is based on the combination of Geographic Information System (GIS), a multi-criteria analysis (MCA) process and an optimisation algorithm. The whole approach is illustrated by a case study applied to an installation of a set of tidal turbines in a maritime area in North West France.
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MASLOV, Nicolas; BROSSET, David; CLARAMUNT, Christophe; CHARPENTIER, Jean-Frederic (MDPI, 2014)The 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 ...
A modelling approach for a cost-based evaluation of the energy produced by a marine energy farmA modelling approach for a cost-based evaluation of the energy produced by a marine energy farm MASLOV, Nicolas; CHARPENTIER, Jean-Frederic; CLARAMUNT, Christophe (Elsevier, 2015)The research presented in this paper is part of a project whose aim is to develop a exible system to help industrials to efficiently install marine energy farms in a suitable area. We introduce a methodology and a ...
MERIEN, Thibaud; BELLEKENS, Xavier; BROSSET, David; CLARAMUNT, Christophe (IEEE, 2018)Computer networks are ubiquitous and growing exponentially, with a predicted 50 billion devices connected by 2050. This tremendous growth dramatically increases the attack surface of both private and public networks. These ...
WAKAMIYA, Shoko; BELOUAER, Lamia; BROSSET, David; KAWAI, Yukiko; CLARAMUNT, Christophe; SUMIYA, Kazutoshi (The Database Society of Japan, 2015)The research introduced in this paper develops a semantic model whose objective is to analyze the geographical and emotion-based distribution of tweets at a large country scale. The approach extracts and categorizes tweets ...
Local and global spatio-temporal entropy indices based on distance- ratios and co-occurrences distributions LEIBOVICI, Didier G.; CLARAMUNT, Christophe; LE GUYADER, Damien; BROSSET, David (Taylor & Francis, 2014)When it comes to characterize the distribution of ‘things’ observed spatially and identified by their geometries and attributes, the Shannon entropy has been widely used in different domains such as ecology, regional ...