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Ocean wave power

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  • Glendenning, I.

Abstract

The wave energy arriving on the west coast of the United Kingdom represents a very substantial energy resource, amounting on average to more than twice the present installed capacity of the Central Electricity Generating Board. Recent comprehensive studies by the CEGB1,2 and the National Engineering Laboratory3 suggest that although there is no obvious technical reason for being unable ultimately to harness much of this energy, and many methods have been proposed, there are still considerable uncertainties over the choice of wave power system and its economics. Wave power does show sufficient promise however to have been made the subject of serious studies supported by the CEGB and the Department of Energy.4 In this paper the potential of wave power and some of the more promising methods of harnessing it are discussed, together with an appreciation of some of the many technical and engineering problems which still need to be examined, and a discussion of the impact of wave power on the environment. By considering the results of recent research and their impact on wave power economics it is argued that wave power could be exploited to conserve fossil fuels, but is unlikely to be competitive with nuclear power.

Suggested Citation

  • Glendenning, I., 1977. "Ocean wave power," Applied Energy, Elsevier, vol. 3(3), pages 197-222, July.
    • Handle: RePEc:eee:appene:v:3:y:1977:i:3:p:197-222
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    Cited by:

    1. Carrelhas, A.A.D. & Gato, L.M.C. & Henriques, J.C.C. & Falcão, A.F.O. & Varandas, J., 2019. "Test results of a 30 kW self-rectifying biradial air turbine-generator prototype," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 187-198.
    2. Jin, Siya & Patton, Ron J. & Guo, Bingyong, 2018. "Viscosity effect on a point absorber wave energy converter hydrodynamics validated by simulation and experiment," Renewable Energy, Elsevier, vol. 129(PA), pages 500-512.
    3. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    4. Zheng, Chong-wei, 2021. "Dynamic self-adjusting classification for global wave energy resources under different requirements," Energy, Elsevier, vol. 236(C).
    5. Huang, Sy-Ruen & Chen, Hong-Tai & Chung, Chih-Hung & Chu, Chen-Yeon & Li, Gung-Ching & Wu, Chueh-Cheng, 2012. "Multivariable direct-drive linear generators for wave energy," Applied Energy, Elsevier, vol. 100(C), pages 112-117.
    6. 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.
    7. Harne, R.L. & Schoemaker, M.E. & Dussault, B.E. & Wang, K.W., 2014. "Wave heave energy conversion using modular multistability," Applied Energy, Elsevier, vol. 130(C), pages 148-156.
    8. Chan Roh & Kyong-Hwan Kim, 2022. "Deep Learning Prediction for Rotational Speed of Turbine in Oscillating Water Column-Type Wave Energy Converter," Energies, MDPI, vol. 15(2), pages 1-22, January.

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