IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1483-d490709.html
   My bibliography  Save this article

Optimizing Wave Overtopping Energy Converters by ANN Modelling: Evaluating the Overtopping Rate Forecasting as the First Step

Author

Listed:
  • José Manuel Oliver

    (CIOPU SL, 12004 Castelló de la Plana, Spain
    Grupo de Investigación de Medio Marino, Costero y Portuario, y Otras Áreas Sensibles, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Maria Dolores Esteban

    (Grupo de Investigación de Medio Marino, Costero y Portuario, y Otras Áreas Sensibles, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • José-Santos López-Gutiérrez

    (Grupo de Investigación de Medio Marino, Costero y Portuario, y Otras Áreas Sensibles, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Vicente Negro

    (Grupo de Investigación de Medio Marino, Costero y Portuario, y Otras Áreas Sensibles, Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Maria Graça Neves

    (Laboratorio Nacional de Engenharia Civil, 1700-066 Lisbon, Portugal)

Abstract

Artificial neural networks (ANN) are extremely powerful analytical, parallel processing elements that can successfully approximate any complex non-linear process, and which form a key piece in Artificial Intelligence models. Its field of application, being very wide, is especially suitable for the field of prediction. In this article, its application for the prediction of the overtopping rate is presented, as part of a strategy for the sustainable optimization of coastal or harbor defense structures and their conversion into Waves Energy Converters (WEC). This would allow, among others benefits, reducing their initial high capital expenditure. For the construction of the predictive model, classical multivariate statistical techniques such as Principal Component Analysis (PCA), or unsupervised clustering methods like Self Organized Maps (SOM), are used, demonstrating that this close alliance is always methodologically beneficial. The specific application carried out, based on the data provided by the CLASH and EurOtop 2018 databases, involves the creation of a useful application to predict overtopping rates in both sloping breakwaters and seawalls, with good results both in terms of prediction error, such as correlation of the estimated variable.

Suggested Citation

  • José Manuel Oliver & Maria Dolores Esteban & José-Santos López-Gutiérrez & Vicente Negro & Maria Graça Neves, 2021. "Optimizing Wave Overtopping Energy Converters by ANN Modelling: Evaluating the Overtopping Rate Forecasting as the First Step," Sustainability, MDPI, vol. 13(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1483-:d:490709
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1483/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/3/1483/
    Download Restriction: no
    ---><---

    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. Seyfried, Caitlin & Palko, Hannah & Dubbs, Lindsay, 2019. "Potential local environmental impacts of salinity gradient energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 111-120.
    3. Zhou, Zhibin & Benbouzid, Mohamed & Frédéric Charpentier, Jean & Scuiller, Franck & Tang, Tianhao, 2013. "A review of energy storage technologies for marine current energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 390-400.
    4. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    5. Claudio Iuppa & Pasquale Contestabile & Luca Cavallaro & Enrico Foti & Diego Vicinanza, 2016. "Hydraulic Performance of an Innovative Breakwater for Overtopping Wave Energy Conversion," Sustainability, MDPI, vol. 8(12), pages 1-20, November.
    6. Margheritini, L. & Vicinanza, D. & Frigaard, P., 2009. "SSG wave energy converter: Design, reliability and hydraulic performance of an innovative overtopping device," Renewable Energy, Elsevier, vol. 34(5), pages 1371-1380.
    7. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    8. Tedd, James & Peter Kofoed, Jens, 2009. "Measurements of overtopping flow time series on the Wave Dragon, wave energy converter," Renewable Energy, Elsevier, vol. 34(3), pages 711-717.
    9. Foteinis, S. & Tsoutsos, T., 2017. "Strategies to improve sustainability and offset the initial high capital expenditure of wave energy converters (WECs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 775-785.
    10. Babarit, Aurélien & Bull, Diana & Dykes, Katherine & Malins, Robert & Nielsen, Kim & Costello, Ronan & Roberts, Jesse & Bittencourt Ferreira, Claudio & Kennedy, Ben & Weber, Jochem, 2017. "Stakeholder requirements for commercially successful wave energy converter farms," Renewable Energy, Elsevier, vol. 113(C), pages 742-755.
    11. Lavi, Abrahim, 1980. "Ocean thermal energy conversion: a general introduction," Energy, Elsevier, vol. 5(6), pages 469-480.
    12. Kofoed, Jens Peter & Frigaard, Peter & Friis-Madsen, Erik & Sørensen, Hans Chr., 2006. "Prototype testing of the wave energy converter wave dragon," Renewable Energy, Elsevier, vol. 31(2), pages 181-189.
    13. 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.
    14. Lewis, M. & Neill, S.P. & Robins, P.E. & Hashemi, M.R., 2015. "Resource assessment for future generations of tidal-stream energy arrays," Energy, Elsevier, vol. 83(C), pages 403-415.
    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. Clemente, D. & Rosa-Santos, P. & Taveira-Pinto, F., 2021. "On the potential synergies and applications of wave energy converters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Tunde Aderinto & Hua Li, 2019. "Review on Power Performance and Efficiency of Wave Energy Converters," Energies, MDPI, vol. 12(22), pages 1-24, November.
    3. Tunde Aderinto & Hua Li, 2020. "Effect of Spatial and Temporal Resolution Data on Design and Power Capture of a Heaving Point Absorber," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    4. David Gallach-Sánchez & Peter Troch & Andreas Kortenhaus, 2018. "A Critical Analysis and Validation of the Accuracy of Wave Overtopping Prediction Formulae for OWECs," Energies, MDPI, vol. 11(1), pages 1-20, January.
    5. Shi, Xueli & Liang, Bingchen & Li, Shaowu & Zhao, Jianchun & Wang, Junhui & Wang, Zhenlu, 2024. "Wave energy resource classification system for the China East Adjacent Seas based on multivariate clustering," Energy, Elsevier, vol. 299(C).
    6. Martins, J.C. & Goulart, M.M. & Gomes, M. das N. & Souza, J.A. & Rocha, L.A.O. & Isoldi, L.A. & dos Santos, E.D., 2018. "Geometric evaluation of the main operational principle of an overtopping wave energy converter by means of Constructal Design," Renewable Energy, Elsevier, vol. 118(C), pages 727-741.
    7. Liu, Zhen & Shi, Hongda & Cui, Ying & Kim, Kilwon, 2017. "Experimental study on overtopping performance of a circular ramp wave energy converter," Renewable Energy, Elsevier, vol. 104(C), pages 163-176.
    8. Ozkop, Emre & Altas, Ismail H., 2017. "Control, power and electrical components in wave energy conversion systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 106-115.
    9. Foteinis, Spyros, 2022. "Wave energy converters in low energy seas: Current state and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    10. Evangelia Dialyna & Theocharis Tsoutsos, 2021. "Wave Energy in the Mediterranean Sea: Resource Assessment, Deployed WECs and Prospects," Energies, MDPI, vol. 14(16), pages 1-18, August.
    11. Roger Samsó & Júlia Crespin & Antonio García-Olivares & Jordi Solé, 2023. "Examining the Potential of Marine Renewable Energy: A Net Energy Perspective," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    12. Lavidas, George, 2020. "Selection index for Wave Energy Deployments (SIWED): A near-deterministic index for wave energy converters," Energy, Elsevier, vol. 196(C).
    13. Irene Simonetti & Andrea Esposito & Lorenzo Cappietti, 2022. "Experimental Proof-of-Concept of a Hybrid Wave Energy Converter Based on Oscillating Water Column and Overtopping Mechanisms," Energies, MDPI, vol. 15(21), pages 1-20, October.
    14. Jin, Huaqing & Zhang, Haicheng & Xu, Daolin & Jun, Ding & Ze, Sun, 2022. "Low-frequency energy capture and water wave attenuation of a hybrid WEC-breakwater with nonlinear stiffness," Renewable Energy, Elsevier, vol. 196(C), pages 1029-1047.
    15. Liu, Zhen & Zhang, Guoliang, 2024. "Overtopping performance of a multi-level CROWN wave energy convertor: A numerical study," Energy, Elsevier, vol. 294(C).
    16. López-Ruiz, Alejandro & Bergillos, Rafael J. & Ortega-Sánchez, Miguel, 2016. "The importance of wave climate forecasting on the decision-making process for nearshore wave energy exploitation," Applied Energy, Elsevier, vol. 182(C), pages 191-203.
    17. Zou, Shangyan & Abdelkhalik, Ossama, 2020. "Time-varying linear quadratic Gaussian optimal control for three-degree-of-freedom wave energy converters," Renewable Energy, Elsevier, vol. 149(C), pages 217-225.
    18. M. M. Amrutha & V. Sanil Kumar, 2019. "Changes in Wave Energy in the Shelf Seas of India during the Last 40 Years Based on ERA5 Reanalysis Data," Energies, MDPI, vol. 13(1), pages 1-23, December.
    19. Zheng, Chong Wei & Wang, Qing & Li, Chong Yin, 2017. "An overview of medium- to long-term predictions of global wave energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1492-1502.
    20. Milad Shadman & Corbiniano Silva & Daiane Faller & Zhijia Wu & Luiz Paulo de Freitas Assad & Luiz Landau & Carlos Levi & Segen F. Estefen, 2019. "Ocean Renewable Energy Potential, Technology, and Deployments: A Case Study of Brazil," Energies, MDPI, vol. 12(19), pages 1-37, September.

    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:jsusta:v:13:y:2021:i:3:p:1483-:d:490709. 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.