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Evaluation of performance metrics for the Wave Energy Prize converters tested at 1/20th scale

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  • Dallman, Ann
  • Jenne, Dale S.
  • Neary, Vincent
  • Driscoll, Frederick
  • Thresher, Robert
  • Gunawan, Budi

Abstract

It is expected that wave energy technologies will play a future role in providing clean renewable energy and diversifying energy portfolios; however, they are still at an early stage of development compared to other renewables, with varying archetypes proposed. As technologies advance toward commercialization, benchmarking is needed to quantify performance and costs. In this review, experimental datasets of Wave Energy Converter (WEC) devices tested in the final stage of the Wave Energy Prize (WEPrize) are compared and ranked using performance metrics found in the literature and those developed as WEPrize judging metrics at both U.S. and European representative wave climates. Because the WEPrize devices were tested under a set of identical sea states, which ranged from typical operating conditions to extreme storm events, consistent datasets were produced to facilitate comparison. This allows for a rare addition to the open literature on device performance trends. In addition, a reevaluation of trends established in previous power performance benchmarking studies is given. Trends found in previous studies were confirmed, except for the absorbed energy per characteristic mass metric, in which some of the WEPrize devices had higher values. Each of the metrics considered in this study has limitations due to the assumptions in simplifying the economic potential (e.g., power absorbed vs. a proxy to cost). In addition, each of these proxies is limited to the capital cost of a device, unlike the final metric used in the WEPrize, HPQ, which includes limited proxies of operational and capital expenditures, as well as array considerations. Recommendations are given for the use and potential modification of the metrics considered. Specifically, it is recommended that the ACE metric (from the WEPrize) be modified to more accurately include the other important system costs, such as the PTO and mooring, as well as installation, operation and maintenance costs.

Suggested Citation

  • Dallman, Ann & Jenne, Dale S. & Neary, Vincent & Driscoll, Frederick & Thresher, Robert & Gunawan, Budi, 2018. "Evaluation of performance metrics for the Wave Energy Prize converters tested at 1/20th scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 79-91.
    • Handle: RePEc:eee:rensus:v:98:y:2018:i:c:p:79-91
    DOI: 10.1016/j.rser.2018.09.002
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    References listed on IDEAS

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    1. 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.
    2. Uihlein, Andreas & Magagna, Davide, 2016. "Wave and tidal current energy – A review of the current state of research beyond technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1070-1081.
    3. Babarit, A., 2015. "A database of capture width ratio of wave energy converters," Renewable Energy, Elsevier, vol. 80(C), pages 610-628.
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    3. Enrico Giglio & Ermando Petracca & Bruno Paduano & Claudio Moscoloni & Giuseppe Giorgi & Sergej Antonello Sirigu, 2023. "Estimating the Cost of Wave Energy Converters at an Early Design Stage: A Bottom-Up Approach," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
    4. Yi Zhang & Dapeng Zhang & Haoyu Jiang, 2023. "A Review of Offshore Wind and Wave Installations in Some Areas with an Eye towards Generating Economic Benefits and Offering Commercial Inspiration," Sustainability, MDPI, vol. 15(10), pages 1-32, May.
    5. Bertram, D.V. & Tarighaleslami, A.H. & Walmsley, M.R.W. & Atkins, M.J. & Glasgow, G.D.E., 2020. "A systematic approach for selecting suitable wave energy converters for potential wave energy farm sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    6. Jin, Chungkuk & Kang, HeonYong & Kim, MooHyun & Cho, Ilhyoung, 2020. "Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation," Renewable Energy, Elsevier, vol. 160(C), pages 1445-1457.

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