Stochastic modelling in wave power-equipment optimization: maximum energy production versus maximum profit |
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| Institution: | 1. Department of Chemical Engineering, SRM Institute of Science and Technology, Chennai, India;2. Earth Resource & Sustainability Centre (ERAS), Universiti Malaysia Pahang, 26300 Gambang, Pahang, Malaysia;3. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang, 26300 Gambang, Pahang, Malaysia;4. Chemical and Materials Engineering Department, Faculty of Engineering, King Abdul Aziz University, Rabigh Campus 21911, Saudi Arabia;1. Ecole Centrale de Nantes – CNRS, 1 rue de la Noë, 44300 Nantes, France;2. Sandia National Laboratories, Albuquerque, NM, USA;3. National Renewable Energy Laboratory, Golden, CO, USA;4. Ramboll, Denmark;5. Wave-Venture, United Kingdom;6. DNV GL, United Kingdom;1. Mechanical, Biomedical & Manufacturing Engineering Department, Cork Institute of Technology (CIT), Cork, Ireland;2. MaREI Centre, Environmental Research Institute, University College Cork (UCC), Ringaskiddy, Co Cork, Ireland;1. LAETA, IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal;2. Energy Department, University of Oviedo, Campus de Vieques, 33271 Gijón, Spain;3. Department of Energetic and Fluid Mechanics Engineering, University of Valladolid, Paseo del Cauce 59, E-47011 Valladolid, Spain;1. Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK;2. College of Engineering and Technology, Arab Academy for Science Technology and Maritime Transport, P.O. 1029, AbuQir, Alexandria, Egypt;3. Material Science and Engineering, University of Alabama at Birmingham, Birmingham, AL, USA |
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| Abstract: | The paper presents an optimization study for the mechanical and electrical equipment of an oscillating-water-column (OWC) wave power plant of fixed shoreline or nearshore type, equipped with an air turbine. The plant’s structure geometry is assumed to be given and the corresponding hydrodynamic coefficients are known as functions of wave frequency. A stochastic model is adopted for the energy conversion process from wave to air turbine, it being assumed that the system is linear. The optimization concerns the turbine size, represented by its rotor diameter D. Two alternative criteria are used: (i) maximization of the produced electrical energy, (ii) maximization of the annual profit. An example calculation is presented, based on the hydrodynamic coefficients of the OWC on the island of Pico, Azores, and on the aerodynamic performance curves of its Wells turbine. The influence of the following parameters upon optimized turbine size and rated power output is analyzed: wave climate, capital costs of mechanical and electrical equipment, operation and maintenance costs, discount rate, equipment lifetime and price of electrical energy supplied to the grid. |
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