IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7734-d947303.html
   My bibliography  Save this article

The Optimal Configuration of Wave Energy Conversions Respective to the Nearshore Wave Energy Potential

Author

Listed:
  • Alireza Shadmani

    (Department of Maritime Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran P.O. Box 15875-4413, Iran)

  • Mohammad Reza Nikoo

    (Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman)

  • Riyadh I. Al-Raoush

    (Department of Civil and Architectural Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Nasrin Alamdari

    (Department of Civil and Environmental Engineering, Florida State University, Tallahassee, FL 32306, USA)

  • Amir H. Gandomi

    (Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia)

Abstract

Ocean energy is one potential renewable energy alternative to fossil fuels that has a more significant power generation due to its better predictability and availability. In order to harness this source, wave energy converters (WECs) have been devised and used over the past several years to generate as much energy and power as is feasible. While it is possible to install these devices in both nearshore and offshore areas, nearshore sites are more appropriate places since more severe weather occurs offshore. Determining the optimal location might be challenging when dealing with sites along the coast since they often have varying capacities for energy production. Constructing wave farms requires determining the appropriate location for WECs, which may lead us to its correct and optimum design. The WEC size, shape, and layout are factors that must be considered for installing these devices. Therefore, this review aims to explain the methodologies, advancements, and effective hydrodynamic parameters that may be used to discover the optimal configuration of WECs in nearshore locations using evolutionary algorithms (EAs).

Suggested Citation

  • Alireza Shadmani & Mohammad Reza Nikoo & Riyadh I. Al-Raoush & Nasrin Alamdari & Amir H. Gandomi, 2022. "The Optimal Configuration of Wave Energy Conversions Respective to the Nearshore Wave Energy Potential," Energies, MDPI, vol. 15(20), pages 1-29, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7734-:d:947303
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7734/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/20/7734/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Ye & Willman, Lindsay, 2014. "Feasibility analysis of offshore renewables penetrating local energy systems in remote oceanic areas – A case study of emissions from an electricity system with tidal power in Southern Alaska," Applied Energy, Elsevier, vol. 117(C), pages 42-53.
    2. Hong-Wei Fang & Yu-Zhu Feng & Guo-Ping Li, 2018. "Optimization of Wave Energy Converter Arrays by an Improved Differential Evolution Algorithm," Energies, MDPI, vol. 11(12), pages 1-19, December.
    3. Glendenning, I., 1977. "Ocean wave power," Applied Energy, Elsevier, vol. 3(3), pages 197-222, July.
    4. Ulazia, Alain & Esnaola, Ganix & Serras, Paula & Penalba, Markel, 2020. "On the impact of long-term wave trends on the geometry optimisation of oscillating water column wave energy converters," Energy, Elsevier, vol. 206(C).
    5. Henfridsson, Urban & Neimane, Viktoria & Strand, Kerstin & Kapper, Robert & Bernhoff, Hans & Danielsson, Oskar & Leijon, Mats & Sundberg, Jan & Thorburn, Karin & Ericsson, Ellerth & Bergman, Karl, 2007. "Wave energy potential in the Baltic Sea and the Danish part of the North Sea, with reflections on the Skagerrak," Renewable Energy, Elsevier, vol. 32(12), pages 2069-2084.
    6. Bozzi, Silvia & Giassi, Marianna & Moreno Miquel, Adrià & Antonini, Alessandro & Bizzozero, Federica & Gruosso, Giambattista & Archetti, Renata & Passoni, Giuseppe, 2017. "Wave energy farm design in real wave climates: the Italian offshore," Energy, Elsevier, vol. 122(C), pages 378-389.
    7. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    8. Babarit, A., 2013. "On the park effect in arrays of oscillating wave energy converters," Renewable Energy, Elsevier, vol. 58(C), pages 68-78.
    9. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    10. James Allen & Konstantinos Sampanis & Jian Wan & Deborah Greaves & Jon Miles & Gregorio Iglesias, 2016. "Laboratory Tests in the Development of WaveCat," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    11. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    12. Goggins, Jamie & Finnegan, William, 2014. "Shape optimisation of floating wave energy converters for a specified wave energy spectrum," Renewable Energy, Elsevier, vol. 71(C), pages 208-220.
    13. Pelc, Robin & Fujita, Rod M., 2002. "Renewable energy from the ocean," Marine Policy, Elsevier, vol. 26(6), pages 471-479, November.
    14. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
    15. Marcos Blanco & Pablo Moreno-Torres & Marcos Lafoz & Dionisio Ramírez, 2015. "Design Parameters Analysis of Point Absorber WEC via an evolutionary-algorithm-based Dimensioning Tool," Energies, MDPI, vol. 8(10), pages 1-31, October.
    16. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    17. McCabe, A.P., 2013. "Constrained optimization of the shape of a wave energy collector by genetic algorithm," Renewable Energy, Elsevier, vol. 51(C), pages 274-284.
    18. Amini, Erfan & Mehdipour, Hossein & Faraggiana, Emilio & Golbaz, Danial & Mozaffari, Sevda & Bracco, Giovanni & Neshat, Mehdi, 2022. "Optimization of hydraulic power take-off system settings for point absorber wave energy converter," Renewable Energy, Elsevier, vol. 194(C), pages 938-954.
    19. Lander Victor & Peter Troch & Jens Peter Kofoed, 2011. "On the Effects of Geometry Control on the Performance of Overtopping Wave Energy Converters," Energies, MDPI, vol. 4(10), pages 1-27, October.
    20. Mehdi Neshat & Nataliia Y. Sergiienko & Seyedali Mirjalili & Meysam Majidi Nezhad & Giuseppe Piras & Davide Astiaso Garcia, 2021. "Multi-Mode Wave Energy Converter Design Optimisation Using an Improved Moth Flame Optimisation Algorithm," Energies, MDPI, vol. 14(13), pages 1-17, June.
    21. Pau Mercadé Ruiz & Vincenzo Nava & Mathew B. R. Topper & Pablo Ruiz Minguela & Francesco Ferri & Jens Peter Kofoed, 2017. "Layout Optimisation of Wave Energy Converter Arrays," Energies, MDPI, vol. 10(9), pages 1-17, August.
    22. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    23. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    24. Simon Thomas & Mikael Eriksson & Malin Göteman & Martyn Hann & Jan Isberg & Jens Engström, 2018. "Experimental and Numerical Collaborative Latching Control of Wave Energy Converter Arrays," Energies, MDPI, vol. 11(11), pages 1-16, November.
    25. Neill, Simon P. & Hashemi, M. Reza, 2013. "Wave power variability over the northwest European shelf seas," Applied Energy, Elsevier, vol. 106(C), pages 31-46.
    26. Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
    27. Diego Vicinanza & Lucia Margheritini & Jens Peter Kofoed & Mariano Buccino, 2012. "The SSG Wave Energy Converter: Performance, Status and Recent Developments," Energies, MDPI, vol. 5(2), pages 1-34, January.
    28. Rusu, Eugen & Onea, Florin, 2016. "Estimation of the wave energy conversion efficiency in the Atlantic Ocean close to the European islands," Renewable Energy, Elsevier, vol. 85(C), pages 687-703.
    29. Nicola Delmonte & Eider Robles & Paolo Cova & Francesco Giuliani & François Xavier Faÿ & Joseba Lopez & Piero Ruol & Luca Martinelli, 2020. "An Iterative Refining Approach to Design the Control of Wave Energy Converters with Numerical Modeling and Scaled HIL Testing," Energies, MDPI, vol. 13(10), pages 1-19, May.
    30. Sarkar, Dripta & Contal, Emile & Vayatis, Nicolas & Dias, Frederic, 2016. "Prediction and optimization of wave energy converter arrays using a machine learning approach," Renewable Energy, Elsevier, vol. 97(C), pages 504-517.
    31. Sergiienko, N.Y. & Cazzolato, B.S. & Ding, B. & Hardy, P. & Arjomandi, M., 2017. "Performance comparison of the floating and fully submerged quasi-point absorber wave energy converters," Renewable Energy, Elsevier, vol. 108(C), pages 425-437.
    32. Garcia-Teruel, Anna & DuPont, Bryony & Forehand, David I.M., 2020. "Hull geometry optimisation of wave energy converters: On the choice of the optimisation algorithm and the geometry definition," Applied Energy, Elsevier, vol. 280(C).
    33. Moarefdoost, M. Mohsen & Snyder, Lawrence V. & Alnajjab, Basel, 2017. "Layouts for ocean wave energy farms: Models, properties, and optimization," Omega, Elsevier, vol. 66(PB), pages 185-194.
    34. Leijon, M. & Danielsson, O. & Eriksson, M. & Thorburn, K. & Bernhoff, H. & Isberg, J. & Sundberg, J. & Ivanova, I. & Sjöstedt, E. & Ågren, O. & Karlsson, K.E. & Wolfbrandt, A., 2006. "An electrical approach to wave energy conversion," Renewable Energy, Elsevier, vol. 31(9), pages 1309-1319.
    35. Pinson, P. & Reikard, G. & Bidlot, J.-R., 2012. "Probabilistic forecasting of the wave energy flux," Applied Energy, Elsevier, vol. 93(C), pages 364-370.
    36. Neshat, Mehdi & Mirjalili, Seyedali & Sergiienko, Nataliia Y. & Esmaeilzadeh, Soheil & Amini, Erfan & Heydari, Azim & Garcia, Davide Astiaso, 2022. "Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia," Energy, Elsevier, vol. 239(PE).
    37. Tom, N.M. & Lawson, M.J. & Yu, Y.H. & Wright, A.D., 2016. "Development of a nearshore oscillating surge wave energy converter with variable geometry," Renewable Energy, Elsevier, vol. 96(PA), pages 410-424.
    38. Alonso, Rodrigo & Solari, Sebastián & Teixeira, Luis, 2015. "Wave energy resource assessment in Uruguay," Energy, Elsevier, vol. 93(P1), pages 683-696.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    2. Teixeira-Duarte, Felipe & Clemente, Daniel & Giannini, Gianmaria & Rosa-Santos, Paulo & Taveira-Pinto, Francisco, 2022. "Review on layout optimization strategies of offshore parks for wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    3. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    4. Liang, Bingchen & Fan, Fei & Liu, Fushun & Gao, Shanhong & Zuo, Hongyan, 2014. "22-Year wave energy hindcast for the China East Adjacent Seas," Renewable Energy, Elsevier, vol. 71(C), pages 200-207.
    5. Bingölbali, Bilal & Jafali, Halid & Akpınar, Adem & Bekiroğlu, Serkan, 2020. "Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas," Renewable Energy, Elsevier, vol. 154(C), pages 136-150.
    6. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    7. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    8. López-Ruiz, Alejandro & Bergillos, Rafael J. & Lira-Loarca, Andrea & Ortega-Sánchez, Miguel, 2018. "A methodology for the long-term simulation and uncertainty analysis of the operational lifetime performance of wave energy converter arrays," Energy, Elsevier, vol. 153(C), pages 126-135.
    9. Garcia-Teruel, A. & Forehand, D.I.M., 2021. "A review of geometry optimisation of wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    10. Neshat, Mehdi & Mirjalili, Seyedali & Sergiienko, Nataliia Y. & Esmaeilzadeh, Soheil & Amini, Erfan & Heydari, Azim & Garcia, Davide Astiaso, 2022. "Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia," Energy, Elsevier, vol. 239(PE).
    11. Aristodemo, Francesco & Algieri Ferraro, Danilo, 2018. "Feasibility of WEC installations for domestic and public electrical supplies: A case study off the Calabrian coast," Renewable Energy, Elsevier, vol. 121(C), pages 261-285.
    12. Mehdi Neshat & Nataliia Y. Sergiienko & Erfan Amini & Meysam Majidi Nezhad & Davide Astiaso Garcia & Bradley Alexander & Markus Wagner, 2020. "A New Bi-Level Optimisation Framework for Optimising a Multi-Mode Wave Energy Converter Design: A Case Study for the Marettimo Island, Mediterranean Sea," Energies, MDPI, vol. 13(20), pages 1-23, October.
    13. Egidijus Kasiulis & Jens Peter Kofoed & Arvydas Povilaitis & Algirdas Radzevičius, 2017. "Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania," Energies, MDPI, vol. 10(12), pages 1-18, December.
    14. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    15. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
    16. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    17. Joensen, Bárður & Niclasen, Bárður A. & Bingham, Harry B., 2021. "Wave power assessment in Faroese waters using an oceanic to nearshore scale spectral wave model," Energy, Elsevier, vol. 235(C).
    18. Yang, Bo & Wu, Shaocong & Zhang, Hao & Liu, Bingqiang & Shu, Hongchun & Shan, Jieshan & Ren, Yaxing & Yao, Wei, 2022. "Wave energy converter array layout optimization: A critical and comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    19. Lin, Yifan & Dong, Sheng & Wang, Zhifeng & Guedes Soares, C., 2019. "Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids," Renewable Energy, Elsevier, vol. 136(C), pages 275-295.
    20. Choupin, O. & Pinheiro Andutta, F. & Etemad-Shahidi, A. & Tomlinson, R., 2021. "A decision-making process for wave energy converter and location pairing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7734-:d:947303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.