Cost assessment methodology for combined wind and wave floating offshore renewable energy systems

A methodology is presented to assess the life-cycle costs of combined or hybrid floating offshore renewable energy systems, which is also applicable to general floating offshore renewable energy devices. It accounts explicitly for their life-cycle stages: concept definition, design and development, manufacturing, installation, exploitation and dismantling. It is a tool for decision-making and strategic planning, enabling a better understanding of the technological solutions and the aspects that might accelerate or decelerate the development of the industry. The method presented can be useful for comparing different types of floating offshore hybrid renewable energy technologies in terms of costs. The general methodology has been applied for the particular case of two specific hybrid systems: the W2Power and the Poseidon. Results for two locations in Portugal (Sao Pedro de Moel and Agucadoura) indicate that the exploitation, manufacturing and the installation costs are the most important ones, with the exploitation cost being the most important for the W2Power and the manufacturing cost being the most important for the Poseidon. The Levelized Cost Of Energy is lower in Sao Pedro de Moel but when considering the technology the W2Power has lower Levelized Cost Of Energy in the single unit scenarios and the Poseidon in the farm scenarios.

[1]  C. Soares,et al.  OVERVIEW AND PROSPECTS FOR DEVELOPMENT OF WAVE AND OFFSHORE WIND ENERGY , 2014 .

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

[3]  António F.O. Falcão,et al.  Wave energy utilization: A review of the technologies , 2010 .

[4]  AbuBakr S. Bahaj,et al.  Generating electricity from the oceans , 2011 .

[5]  Brian F. Snyder,et al.  Ecological and economic cost-benefit analysis of offshore wind energy , 2009 .

[6]  C. Soares,et al.  Modelling tidal currents on the coast of Portugal , 2000 .

[7]  Castro-Santos Laura,et al.  Life-cycle cost analysis of floating offshore wind farms , 2014 .

[8]  Carlos Guedes Soares,et al.  Numerical evaluation of the wave energy resource along the Atlantic European coast , 2014, Comput. Geosci..

[9]  J. C. Doran,et al.  A Note on Vertical Extrapolation Formulas for Weibull Velocity Distribution Parameters , 1978 .

[10]  José Luis Martín,et al.  Current facts about offshore wind farms , 2012 .

[11]  Maurizio Collu,et al.  A comparison between the preliminary design studies of a fixed and a floating support structure for a 5 MW offshore wind turbine in the north sea , 2010 .

[12]  Markus Mueller,et al.  Enabling science and technology for marine renewable energy , 2008 .

[13]  David McMillan,et al.  Optimum CTV fleet selection for offshore wind farm O&M activities , 2014 .

[14]  Thomas Prässler,et al.  Comparison of the Financial Attractiveness Among Prospective Offshore Wind Parks in Selected European Countries , 2012 .

[15]  Maureen Hand,et al.  Installation, Operation, and Maintenance Strategies to Reduce the Cost of Offshore Wind Energy , 2013 .

[16]  C. Soares,et al.  Offshore wind energy assessment for the Iberian coast with a regional atmospheric model , 2015 .

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

[18]  Mark J. Kaiser,et al.  A comparison of offshore wind power development in europe and the U.S.: Patterns and drivers of development , 2009 .

[19]  G. Gualtieri,et al.  Methods to extrapolate wind resource to the turbine hub height based on power law: A 1-h wind speed vs. Weibull distribution extrapolation comparison , 2012 .

[20]  C. Guedes Soares,et al.  Validation of a Regional Atmospheric Model for Assessing the Offshore Wind Resources Along the Portuguese Coast , 2013 .

[21]  Gregorio Iglesias,et al.  A review of combined wave and offshore wind energy , 2015 .

[22]  Peter Stansby,et al.  An Experimental Study of Closely Spaced Point Absorber Arrays , 2008 .

[23]  C. Soares,et al.  Review and classification of wave energy converters , 2012 .

[24]  Tor Anders Nygaard,et al.  Levelised cost of energy for offshore floating wind turbines in a life cycle perspective , 2014 .

[25]  L. Bertling,et al.  Maintenance Management of Wind Power Systems Using Condition Monitoring Systems—Life Cycle Cost Analysis for Two Case Studies , 2007, IEEE Transactions on Energy Conversion.

[26]  C. Guedes Soares,et al.  Modelling and simulation of the operation and maintenance of offshore wind turbines , 2015 .

[27]  C. Soares,et al.  Wave power resources at Portuguese test sites from 11-year hindcast data , 2015 .

[28]  Carlos Guedes Soares,et al.  Assessing mesoscale wind simulations in different environments , 2014, Comput. Geosci..

[29]  T. Iesmantas R. Alzbutas Critical infrastructure Maintenance of power systems considering time-dependent uncertainty , 2014 .

[30]  C. Guedes Soares,et al.  High resolution local wave energy modelling in the Iberian Peninsula , 2015 .

[31]  Jun Zhang,et al.  Reliability of Mooring Systems for Floating Production Systems , 2006 .

[32]  Xiaojing Sun,et al.  The current state of offshore wind energy technology development , 2012 .

[33]  Climent Molins,et al.  Comparative levelized cost of energy analysis , 2015 .

[34]  W. Kempton,et al.  Pricing offshore wind power , 2011 .

[35]  M. Bernardino,et al.  Assessing the offshore wind energy potential along the coasts of Portugal and Galicia , 2013 .

[36]  R. Yemm,et al.  Pelamis: experience from concept to connection , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[37]  H. Bagbanci,et al.  Review of offshore floating wind turbines concepts , 2012 .

[38]  Jason Jonkman,et al.  Coupled Dynamic Modeling of Floating Wind Turbine Systems , 2006 .

[39]  Bernd Möller,et al.  Evaluation of offshore wind resources by scale of development , 2012 .