IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v167y2022ics1364032122005603.html
   My bibliography  Save this article

Wave energy converter array layout optimization: A critical and comprehensive overview

Author

Listed:
  • Yang, Bo
  • Wu, Shaocong
  • Zhang, Hao
  • Liu, Bingqiang
  • Shu, Hongchun
  • Shan, Jieshan
  • Ren, Yaxing
  • Yao, Wei

Abstract

The production efficiency and optimal control of wave energy converter (WEC) array are mainly based on array layout, thus it is crucial to establish a reliable mathematical model for the WEC array layout optimization. So far, a lot of research has been done on the modeling and methods of WEC array layout optimization. However, the existing reviews are either incomplete in the classification of modeling methods, or incomplete in a collection of optimization methods, especially lacking detailed evaluation. This paper aims to comprehensively summarize various WEC models and related approaches for WEC array layout optimization. Note that over 80 related pieces of literature have been carefully analyzed and summarized, and they are divided into three categories: meta-heuristic-based, machine learning-based, and mathematics-based methods. In particular, the advantages/disadvantages, variables, evaluation indices, parameters, complexity, and objective functions are thoroughly discussed. Finally, potential research directions and recommendations are proposed in future in-depth research for both researchers and engineers.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122005603
    DOI: 10.1016/j.rser.2022.112668
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122005603
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2022.112668?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    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. López-Ruiz, Alejandro & Bergillos, Rafael J. & Raffo-Caballero, Juan M. & Ortega-Sánchez, Miguel, 2018. "Towards an optimum design of wave energy converter arrays through an integrated approach of life cycle performance and operational capacity," Applied Energy, Elsevier, vol. 209(C), pages 20-32.
    4. Sim, Jaehun & Kim, Chae-Soo, 2019. "The value of renewable energy research and development investments with default consideration," Renewable Energy, Elsevier, vol. 143(C), pages 530-539.
    5. Ayman Alhejji & Alban Kuriqi & Jakub Jurasz & Farag K. Abo-Elyousr, 2021. "Energy Harvesting and Water Saving in Arid Regions via Solar PV Accommodation in Irrigation Canals," Energies, MDPI, vol. 14(9), pages 1-24, May.
    6. Loukogeorgaki, Eva & Michailides, Constantine & Lavidas, George & Chatjigeorgiou, Ioannis K., 2021. "Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wall," Renewable Energy, Elsevier, vol. 179(C), pages 189-203.
    7. López, Iraide & Andreu, Jon & Ceballos, Salvador & Martínez de Alegría, Iñigo & Kortabarria, Iñigo, 2013. "Review of wave energy technologies and the necessary power-equipment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 413-434.
    8. McCabe, A.P. & Aggidis, G.A. & Widden, M.B., 2010. "Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm," Renewable Energy, Elsevier, vol. 35(12), pages 2767-2775.
    9. 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.
    10. 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.
    11. Yang, Bo & Yu, Tao & Shu, Hongchun & Zhang, Yuming & Chen, Jian & Sang, Yiyan & Jiang, Lin, 2018. "Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine," Renewable Energy, Elsevier, vol. 119(C), pages 577-589.
    12. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    13. Wagner, Markus & Day, Jareth & Neumann, Frank, 2013. "A fast and effective local search algorithm for optimizing the placement of wind turbines," Renewable Energy, Elsevier, vol. 51(C), pages 64-70.
    14. Renzi, E. & Abdolali, A. & Bellotti, G. & Dias, F., 2014. "Wave-power absorption from a finite array of oscillating wave surge converters," Renewable Energy, Elsevier, vol. 63(C), pages 55-68.
    15. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Bejarano, María D. & Garrote, Luis, 2021. "Ecological impacts of run-of-river hydropower plants—Current status and future prospects on the brink of energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    16. Penalba, Markel & Giorgi, Giussepe & Ringwood, John V., 2017. "Mathematical modelling of wave energy converters: A review of nonlinear approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1188-1207.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Bo & Li, Miwei & Qin, Risheng & Luo, Enbo & Duan, Jinhang & Liu, Bingqiang & Wang, Yutong & Wang, Jingbo & Jiang, Lin, 2024. "Extracted power optimization of hybrid wind-wave energy converters array layout via enhanced snake optimizer," Energy, Elsevier, vol. 293(C).
    2. Jamei, Mehdi & Ali, Mumtaz & Karbasi, Masoud & Xiang, Yong & Ahmadianfar, Iman & Yaseen, Zaher Mundher, 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach," Applied Energy, Elsevier, vol. 326(C).
    3. He, Guanghua & Luan, Zhengxiao & Zhang, Wei & He, Runhua & Liu, Chaogang & Yang, Kaibo & Yang, Changhao & Jing, Penglin & Zhang, Zhigang, 2023. "Review on research approaches for multi-point absorber wave energy converters," Renewable Energy, Elsevier, vol. 218(C).
    4. Neill, Simon P., 2024. "Wave resource characterization and co-location with offshore wind in the Irish Sea," Renewable Energy, Elsevier, vol. 222(C).
    5. Qiang Li & Qian Chen & Jiyang Wu & Youqiang Qiu & Changhong Zhang & Yilong Huang & Jianbao Guo & Bo Yang, 2023. "XGBoost-Based Intelligent Decision Making of HVDC System with Knowledge Graph," Energies, MDPI, vol. 16(5), pages 1-21, March.
    6. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H., 2024. "Adaptive systematic optimization of a multi-axis ocean wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    7. Jin, Huaqing & Zhang, Haicheng & Zheng, Siming & Xu, Daolin, 2024. "Characteristics of a two-dimensional periodic wave energy converter array," Renewable Energy, Elsevier, vol. 222(C).

    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. 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.
    4. 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.
    5. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H., 2024. "Adaptive systematic optimization of a multi-axis ocean wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Wang, Yize & Liu, Zhenqing, 2021. "Proposal of novel analytical wake model and GPU-accelerated array optimization method for oscillating wave surge energy converter," Renewable Energy, Elsevier, vol. 179(C), pages 563-583.
    7. 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).
    8. Benites-Munoz, Daniela & Huang, Luofeng & Thomas, Giles, 2024. "Optimal array arrangement of oscillating wave surge converters: An analysis based on three devices," Renewable Energy, Elsevier, vol. 222(C).
    9. Zhang, Yongxing & Zhao, Yongjie & Sun, Wei & Li, Jiaxuan, 2021. "Ocean wave energy converters: Technical principle, device realization, and performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    10. Erfan Amini & Danial Golbaz & Fereidoun Amini & Meysam Majidi Nezhad & Mehdi Neshat & Davide Astiaso Garcia, 2020. "A Parametric Study of Wave Energy Converter Layouts in Real Wave Models," Energies, MDPI, vol. 13(22), pages 1-23, November.
    11. Xiaohui Zeng & Qi Wang & Yuanshun Kang & Fajun Yu, 2022. "A Novel Type of Wave Energy Converter with Five Degrees of Freedom and Preliminary Investigations on Power-Generating Capacity," Energies, MDPI, vol. 15(9), pages 1-20, April.
    12. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    13. Dzido, Aleksandra & Wołowicz, Marcin & Krawczyk, Piotr, 2022. "Transcritical carbon dioxide cycle as a way to improve the efficiency of a Liquid Air Energy Storage system," Renewable Energy, Elsevier, vol. 196(C), pages 1385-1391.
    14. Burgaç, Alper & Yavuz, Hakan, 2019. "Fuzzy Logic based hybrid type control implementation of a heaving wave energy converter," Energy, Elsevier, vol. 170(C), pages 1202-1214.
    15. Pau Mercadé Ruiz & Francesco Ferri & Jens Peter Kofoed, 2017. "Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool," Sustainability, MDPI, vol. 9(1), pages 1-20, January.
    16. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    17. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    18. Huazhen Cao & Chong Gao & Xuan He & Yang Li & Tao Yu, 2020. "Multi-Agent Cooperation Based Reduced-Dimension Q(λ) Learning for Optimal Carbon-Energy Combined-Flow," Energies, MDPI, vol. 13(18), pages 1-22, September.
    19. Qian, Long & Xu, Xiaolin & Sun, Ying & Zhou, Yunjie, 2022. "Carbon emission reduction effects of eco-industrial park policy in China," Energy, Elsevier, vol. 261(PB).
    20. Papini, Guglielmo & Faedo, Nicolás & Mattiazzo, Giuliana, 2024. "Fault diagnosis and fault-tolerant control in wave energy: A perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(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:eee:rensus:v:167:y:2022:i:c:s1364032122005603. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.