A proposed wave farm on the Galician coast

Abstract This work is focused on the analysis of the wave resource and its exploitation by means of a proposed 12 MW wave plant in Northwestern Spain. For this purpose, a total of four current technologies of wave conversion are analysed at three different sites located at different water depths, which correspond to one of the European areas with the greatest wave energy resource and where its electric production is still underdeveloped. To carry out the research, the wave data recorded at an offshore buoy near the area and the power matrices of the four selected wave energy technologies are used. The offshore wave conditions—representing 95% of the total energy of an average year—are propagated through spectral numerical modelling towards the coast. On the basis of the results, two of the four selected technologies forming the 12 MW power plants and one of the three considered points emerge as the ones allowing the greatest energy production and, at the same time, having a minimum area of occupation which, in turn, is crucial to reducing the visual impact. Finally, this research discusses the energy supply capacity of the proposed plants to satisfy the energy consumption required by nearby communities.

[1]  G. Iglesias,et al.  The economics of wave energy: A review , 2015 .

[2]  Julien De Rouck,et al.  A methodology for production and cost assessment of a farm of wave energy converters , 2011 .

[3]  Gregorio Iglesias,et al.  On the wave energy resource of Peru , 2015 .

[4]  C. Guedes Soares,et al.  Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore , 2009 .

[5]  G. Iglesias,et al.  Potentials of a hybrid offshore farm for the island of Fuerteventura , 2014 .

[6]  Francisco Taveira-Pinto,et al.  A high resolution geospatial database for wave energy exploitation , 2014 .

[7]  Aurélien Babarit,et al.  Numerical benchmarking study of a selection of wave energy converters , 2012 .

[8]  Gregorio Iglesias,et al.  A wave farm for an island: Detailed effects on the nearshore wave climate , 2014 .

[9]  Mehmet Özger,et al.  Statistical investigation of expected wave energy and its reliability , 2004 .

[10]  Mario Lopez,et al.  Assessing the optimal location for a shoreline wave energy converter , 2014 .

[11]  N. Booij,et al.  A third-generation wave model for coastal regions-1 , 1999 .

[12]  Gregorio Iglesias,et al.  Wave and offshore wind potential for the island of Tenerife , 2013 .

[13]  Gregorio Iglesias,et al.  Optimisation of turbine-induced damping for an OWC wave energy converter using a RANS–VOF numerical model , 2014 .

[14]  Eugen Rusu,et al.  Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore , 2013 .

[15]  G. Iglesias,et al.  Wave farm impact on the beach profile: A case study , 2014 .

[16]  Gregorio Iglesias,et al.  Wave energy potential in Galicia (NW Spain) , 2009 .

[17]  Gregorio Iglesias,et al.  Co-located wind-wave farm synergies (Operation & Maintenance): A case study , 2015 .

[18]  Robert G. Dean,et al.  Water wave mechanics for engineers and scientists , 1983 .

[19]  Gregorio Iglesias,et al.  A methodology to determine the power performance of wave energy converters at a particular coastal location , 2012 .

[20]  Van der Westhuysen The application of the numerical wind wave model SWAN to a selected field case on the South African coast , 2002 .

[21]  Gunwoo Kim,et al.  Offshore and nearshore wave energy assessment around the Korean Peninsula , 2011 .

[22]  Á. Borja,et al.  A Marine Spatial Planning Approach to Select Suitable Areas for Installing Wave Energy Converters (WECs), on the Basque Continental Shelf (Bay of Biscay) , 2012 .

[23]  Peter Frigaard,et al.  SSG wave energy converter: Design, reliability and hydraulic performance of an innovative overtopping device , 2009 .

[24]  A. Bahaj,et al.  Uncertainty in wave energy resource assessment. Part 2: Variability and predictability , 2010 .

[25]  C. Guedes Soares,et al.  Evaluation of the wave conditions in Madeira Archipelago with spectral models , 2008 .