Towards an optimum design of wave energy converter arrays through an integrated approach of life cycle performance and operational capacity

Abstract Over the last few decades, several efforts have been made to develop an alternative and sustainable energy source from wind waves. To achieve financial sustainability of this technology, most of the research has focused on analyzing facilities composed of several wave energy converters (WECs) arrays instead of isolated ones. Although the interaction between devices and its implications on the performance of the facilities have been studied previously, these works considered only certain combinations of sea states, limiting the applicability of the results. This work applies a new methodology based on statistical methods to assess the performance of different WEC array distributions during their entire life-cycle in an efficient way, using downscaling techniques and advanced numerical modeling to propagate the wave climate. The results obtained during the hindcasting life-cycle are used to analyze the maintenance and operation capabilities of the different alternatives of arrays defined for the WEC facility. The interactions between devices and their efficiency considering the associated impact are also quantified. The assessment of these efficiencies during the complete life-cycle of the devices is highly valuable tool for promoters and coastal managers to evaluate different WEC array alternatives. The entire process was applied to a hypothetical array location in the Gulf of Cadiz (southwestern Spain), where three different array distributions were defined. The results show that the distance between WECs is a key parameter that controls the potential energy production, the efficiency of the facility and the interactions between several devices.

[1]  Aun Haider,et al.  Review of ocean tidal, wave and thermal energy technologies , 2017 .

[2]  Óscar Ferreira,et al.  Hydrodynamic changes imposed by tidal energy converters on extracting energy on a real case scenario , 2016 .

[3]  Alfio Quarteroni,et al.  Computational fluid dynamics at CRS4, Italy , 1996 .

[4]  Mariano Buccino,et al.  The SSG Wave Energy Converter: Performance, Status and Recent Developments , 2012 .

[5]  M. Losada,et al.  Implications of delta retreat on wave propagation and longshore sediment transport - Guadalfeo case study (southern Spain) , 2016 .

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

[7]  Inigo J. Losada,et al.  Factors that influence array layout on wave energy farms , 2014 .

[8]  Miguel Ortega-Sánchez,et al.  The importance of wave climate forecasting on the decision-making process for nearshore wave energy exploitation , 2016 .

[9]  A. Babarit Impact of long separating distances on the energy production of two interacting wave energy converters , 2010 .

[10]  Gareth Harrison,et al.  Full life cycle assessment of a wave energy converter , 2011 .

[11]  M. Losada,et al.  Relation between beachface morphology and wave climate at Trafalgar beach (Cádiz, Spain) , 2008 .

[12]  Bradley J. Buckham,et al.  Variability and stochastic simulation of power from wave energy converter arrays , 2018 .

[13]  Andreas Uihlein,et al.  Life cycle assessment of ocean energy technologies , 2016, The International Journal of Life Cycle Assessment.

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

[15]  J. Cruz,et al.  Estimating the loads and energy yield of arrays of wave energy converters under realistic seas , 2010 .

[16]  Gregorio Iglesias,et al.  The new wave energy converter WaveCat: Concept and laboratory tests , 2012 .

[17]  M. Losada,et al.  Hydrodynamics response to planned human interventions in a highly altered embayment: The example of the Bay of Cádiz (Spain) , 2015 .

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

[19]  Jon Andreu,et al.  Review of wave energy technologies and the necessary power-equipment , 2013 .

[20]  Michael Zwicky Hauschild,et al.  Life cycle assessment of the wave energy converter: Wave Dragon , 2007 .

[21]  Louise O'Boyle,et al.  Experimental Measurement of Wave Field Variations around Wave Energy Converter Arrays , 2017 .

[22]  Philipp R. Thies,et al.  A decision support model to optimise the operation and maintenance strategies of an offshore renewable energy farm , 2017 .

[23]  A. Mazzino,et al.  Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast , 2016 .

[24]  Malin Göteman,et al.  Methods of reducing power fluctuations in wave energy parks , 2014 .

[25]  Paula Camus,et al.  A weather‐type statistical downscaling framework for ocean wave climate , 2014 .

[26]  Jens Peter Kofoed,et al.  Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool , 2017 .

[27]  P. R. Shanas,et al.  Wave energy resource assessment for Red Sea , 2017 .

[28]  G. Cats,et al.  The Hirlam project [meteorology] , 1996 .

[29]  G. Iglesias,et al.  Coastal defence using wave farms: The role of farm-to-coast distance , 2015 .

[30]  D. Cayan,et al.  Wave power variability and trends across the North Atlantic influenced by decadal climate patterns , 2015 .

[31]  M. Leijon,et al.  Performance of large arrays of point absorbing direct-driven wave energy converters , 2013 .

[32]  Inigo J. Losada,et al.  Uncertainty analysis of wave energy farms financial indicators , 2014 .

[33]  K. Budal Theory for Absorption of Wave Power by a System of Interacting Bodies , 1977 .

[34]  J. Marques,et al.  Coastal systems under change: Tuning assessment and management tools , 2015 .

[35]  J. Falnes Radiation impedance matrix and optimum power absorption for interacting oscillators in surface waves , 1980 .

[36]  Giovanni Besio,et al.  Sediment transport patterns at Trafalgar offshore windfarm , 2008 .

[37]  Gregorio Iglesias,et al.  Wave farm impact: The role of farm-to-coast distance , 2014 .

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

[39]  R. E. Taylor Non-Conventional Energy Sources , 2010 .

[40]  C. Guedes Soares,et al.  Coastal impact induced by a Pelamis wave farm operating in the Portuguese nearshore , 2013 .

[41]  Inigo J. Losada,et al.  A global analysis of the operation and maintenance role on the placing of wave energy farms , 2015 .

[42]  R. Alonso,et al.  Wave energy resource assessment in Uruguay , 2015 .

[43]  H. Sepúlveda,et al.  Nearshore assessment of wave energy resources in central Chile (2009–2010) , 2016 .

[44]  Aurélien Babarit,et al.  Impact of wave interactions effects on energy absorption in large arrays of wave energy converters , 2012 .

[45]  J. Bidlot,et al.  Wave energy worldwide: Simulating wave farms, forecasting, and calculating reserves , 2017 .

[46]  L. Gill,et al.  Development of a high resolution wave climate modelling methodology for offshore, nearshore and onshore locations of interest , 2016 .

[47]  Gregorio Iglesias,et al.  Laboratory Tests in the Development of WaveCat , 2016 .

[48]  Alessandro Antonini,et al.  Wave energy farm design in real wave climates: the Italian offshore , 2017 .

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

[50]  P. Camus,et al.  A hybrid efficient method to downscale wave climate to coastal areas , 2011 .