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A high-fidelity wave-to-wire model for wave energy converters

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  • Penalba, Markel
  • Ringwood, John V.

Abstract

Mathematical models incorporating all the necessary components of wave energy converters (WECs) from ocean waves to the electricity grid, known as wave-to-wire (W2W) models, are vital in the development of wave energy technologies. Ideally, precise W2W models should include all the relevant nonlinear dynamics, constraints and energy losses. This paper presents a balanced W2W model that incorporates high-fidelity models for each conversion system, and can accommodate different types of WECs, hydraulic power take-off (PTO) topologies, electric generators and grid connections. The models of the different conversion stages presented herein are efficiently implemented in the W2W model using a multi-rate integration scheme that reduces the computational requirements by a factor of 10. Two W2W models, i.e. one with the constant-pressure hydraulic PTO configuration and one with the variable-pressure configuration, are compared in this paper. Results show that a higher PTO efficiency (30% higher for the constant-pressure configuration) does not necessarily imply a higher electricity generation (2% higher for the variable-pressure configuration), which reinforces the need for high-fidelity W2W models for the design of successful WECs.

Suggested Citation

  • Penalba, Markel & Ringwood, John V., 2019. "A high-fidelity wave-to-wire model for wave energy converters," Renewable Energy, Elsevier, vol. 134(C), pages 367-378.
  • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:367-378
    DOI: 10.1016/j.renene.2018.11.040
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    References listed on IDEAS

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    1. Markel Penalba & John V. Ringwood, 2016. "A Review of Wave-to-Wire Models for Wave Energy Converters," Energies, MDPI, vol. 9(7), pages 1-45, June.
    2. Markel Penalba & Nathan P. Sell & Andy J. Hillis & John V. Ringwood, 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part I: The Hydraulic Transmission System," Energies, MDPI, vol. 10(7), pages 1-22, July.
    3. O'Sullivan, Adrian C.M. & Lightbody, Gordon, 2017. "Co-design of a wave energy converter using constrained predictive control," Renewable Energy, Elsevier, vol. 102(PA), pages 142-156.
    4. Markel Penalba & José-Antonio Cortajarena & John V. Ringwood, 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System," Energies, MDPI, vol. 10(7), pages 1-24, July.
    5. 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.
    6. Henderson, Ross, 2006. "Design, simulation, and testing of a novel hydraulic power take-off system for the Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 271-283.
    7. Rico H. Hansen & Morten M. Kramer & Enrique Vidal, 2013. "Discrete Displacement Hydraulic Power Take-Off System for the Wavestar Wave Energy Converter," Energies, MDPI, vol. 6(8), pages 1-44, August.
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    Cited by:

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    4. Rasool, Safdar & Muttaqi, Kashem M. & Sutanto, Danny, 2020. "Modelling of a wave-to-wire system for a wave farm and its response analysis against power quality and grid codes," Renewable Energy, Elsevier, vol. 162(C), pages 2041-2055.
    5. Xuhui, Yue & Qijuan, Chen & Zenghui, Wang & Dazhou, Geng & Donglin, Yan & Wen, Jiang & Weiyu, Wang, 2019. "A novel nonlinear state space model for the hydraulic power take-off of a wave energy converter," Energy, Elsevier, vol. 180(C), pages 465-479.
    6. Liu, Changhai & Hu, Min & Gao, Wenzhi & Chen, Jian & Zeng, Yishan & Wei, Daozhu & Yang, Qingjun & Bao, Gang, 2021. "A high-precise model for the hydraulic power take-off of a raft-type wave energy converter," Energy, Elsevier, vol. 215(PA).
    7. Liu, Zhen & Xu, Chuanli & Kim, Kilwon & Choi, Jongsu & Hyun, Beom-soo, 2021. "An integrated numerical model for the chamber-turbine system of an oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    8. Farajvand, Mahdiyeh & Grazioso, Valerio & García-Violini, Demián & Ringwood, John V., 2023. "Uncertainty estimation in wave energy systems with applications in robust energy maximising control," Renewable Energy, Elsevier, vol. 203(C), pages 194-204.
    9. Zhigang Liu & Wei Huang & Shi Liu & Xiaomei Wu & Chun Sing Lai & Yi Yang, 2023. "An Improved Hydraulic Energy Storage Wave Power-Generation System Based on QPR Control," Energies, MDPI, vol. 16(2), pages 1-18, January.
    10. Wang, LiGuo & Lin, MaoFeng & Tedeschi, Elisabetta & Engström, Jens & Isberg, Jan, 2020. "Improving electric power generation of a standalone wave energy converter via optimal electric load control," Energy, Elsevier, vol. 211(C).
    11. Marios Charilaos Sousounis & Jonathan Shek, 2019. "Wave-to-Wire Power Maximization Control for All-Electric Wave Energy Converters with Non-Ideal Power Take-Off," Energies, MDPI, vol. 12(15), pages 1-27, July.
    12. Hayrettin Bora Karayaka & Yi-Hsiang Yu & Eduard Muljadi, 2021. "Investigations into Balancing Peak-to-Average Power Ratio and Mean Power Extraction for a Two-Body Point-Absorber Wave Energy Converter," Energies, MDPI, vol. 14(12), pages 1-24, June.
    13. 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.
    14. Penalba, Markel & Ulazia, Alain & Saénz, Jon & Ringwood, John V., 2020. "Impact of long-term resource variations on wave energy Farms: The Icelandic case," Energy, Elsevier, vol. 192(C).
    15. Bechlenberg, Alva & Wei, Yanji & Jayawardhana, Bayu & Vakis, Antonis I., 2023. "Analysing the influence of power take-off adaptability on the power extraction of dense wave energy converter arrays," Renewable Energy, Elsevier, vol. 211(C), pages 1-12.
    16. Yue, Xuhui & Geng, Dazhou & Chen, Qijuan & Zheng, Yang & Gao, Gongzheng & Xu, Lei, 2021. "2-D lookup table based MPPT: Another choice of improving the generating capacity of a wave power system," Renewable Energy, Elsevier, vol. 179(C), pages 625-640.
    17. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).

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