IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v187y2022icp857-873.html
   My bibliography  Save this article

Manufacturability considerations in design optimisation of wave energy converters

Author

Listed:
  • Garcia-Teruel, Anna
  • Forehand, David I.M.

Abstract

Wave energy converter hull shapes have been optimised in the past to find the most suitable design to maximise mean annual power production and minimise costs. However, costs are generally considered through proxies based on the device's size. When using an optimisation process capable of generating very diverse shapes, more complex objective functions may be required to ensure that resulting shapes truly minimise the levelised cost of energy. For this purpose, relevant cost factors with an effect on geometry, such as manufacturability and materials considerations, should be included in the optimisation process. To address this challenge, different strategies for incorporating manufacturability considerations in a wave energy converter optimisation process with an adaptable geometry definition are discussed here. The resulting optimal shapes are compared to the shapes obtained when these additional constraints are not included. The results show that it is possible to generate wave energy converter shapes designed for a particular manufacturing process, as well as in general with improved manufacturability characteristics - based on the shapes maximum curvature. The proposed approaches can be used in future wave energy converter design studies to generate novel and improved shapes while considering their manufacturability.

Suggested Citation

  • Garcia-Teruel, Anna & Forehand, David I.M., 2022. "Manufacturability considerations in design optimisation of wave energy converters," Renewable Energy, Elsevier, vol. 187(C), pages 857-873.
    • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:857-873
    DOI: 10.1016/j.renene.2021.12.145
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121018747
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.12.145?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. 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.
    2. de Andres, A. & Guanche, R. & Vidal, C. & Losada, I.J., 2015. "Adaptability of a generic wave energy converter to different climate conditions," Renewable Energy, Elsevier, vol. 78(C), pages 322-333.
    3. 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.
    4. 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.
    5. 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).
    6. Garcia-Teruel, Anna & DuPont, Bryony & Forehand, David I.M., 2021. "Hull geometry optimisation of wave energy converters: On the choice of the objective functions and the optimisation formulation," Applied Energy, Elsevier, vol. 298(C).
    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. 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).
    2. Tiesheng Liu & Yanjun Liu & Shuting Huang & Gang Xue, 2022. "Shape Optimization of Oscillating Buoy Wave Energy Converter Based on the Mean Annual Power Prediction Model," Energies, MDPI, vol. 15(20), pages 1-19, October.
    3. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    4. 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.
    5. Garcia-Teruel, Anna & DuPont, Bryony & Forehand, David I.M., 2021. "Hull geometry optimisation of wave energy converters: On the choice of the objective functions and the optimisation formulation," Applied Energy, Elsevier, vol. 298(C).
    6. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    7. Garcia-Teruel, Anna & Roberts, Owain & Noble, Donald R. & Henderson, Jillian Catherine & Jeffrey, Henry, 2022. "Design limits for wave energy converters based on the relationship of power and volume obtained through multi-objective optimisation," Renewable Energy, Elsevier, vol. 200(C), pages 492-504.
    8. 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.
    9. 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.
    10. Wang, LiGuo & Ringwood, John V., 2021. "Control-informed ballast and geometric optimisation of a three-body hinge-barge wave energy converter using two-layer optimisation," Renewable Energy, Elsevier, vol. 171(C), pages 1159-1170.
    11. Silva, Jorge Marques & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "GA-optimized inverse fuzzy model control of OWC wave power plants," Renewable Energy, Elsevier, vol. 204(C), pages 556-568.
    12. Gaspar, José F. & Calvário, Miguel & Kamarlouei, Mojtaba & Soares, C. Guedes, 2018. "Design tradeoffs of an oil-hydraulic power take-off for wave energy converters," Renewable Energy, Elsevier, vol. 129(PA), pages 245-259.
    13. Jin, Siya & Patton, Ron J. & Guo, Bingyong, 2019. "Enhancement of wave energy absorption efficiency via geometry and power take-off damping tuning," Energy, Elsevier, vol. 169(C), pages 819-832.
    14. Shadman, Milad & Estefen, Segen F. & Rodriguez, Claudio A. & Nogueira, Izabel C.M., 2018. "A geometrical optimization method applied to a heaving point absorber wave energy converter," Renewable Energy, Elsevier, vol. 115(C), pages 533-546.
    15. Cotten, A. & Forehand, D.I.M., 2022. "Multi-objective optimisation of a sloped-motion, multibody wave energy converter concept," Renewable Energy, Elsevier, vol. 194(C), pages 307-320.
    16. Ji Woo Nam & Yong Jun Sung & Seong Wook Cho, 2021. "Effective Mooring Rope Tension in Mechanical and Hydraulic Power Take-Off of Wave Energy Converter," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
    17. Altunkaynak, Abdüsselam & Çelik, Anıl, 2022. "A novel Geno-Nonlinear formula for oscillating water column efficiency estimation," Energy, Elsevier, vol. 241(C).
    18. 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).
    19. Chandrasekaran, Srinivasan & Sricharan, V.V.S., 2020. "Numerical analysis of a new multi-body floating wave energy converter with a linear power take-off system," Renewable Energy, Elsevier, vol. 159(C), pages 250-271.
    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.

    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:renene:v:187:y:2022:i:c:p:857-873. 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.journals.elsevier.com/renewable-energy .

    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.