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Performance Optimization Techniques on Point Absorber and Oscillating Water Column Wave Energy Converter: A Comprehensive Review

  • Aryan Manan Jariwala
  • , Santanu Kumar Dash*
  • , Umesh Kumar Sahu*
  • , Harin M. Mohan
  • *Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    Abstract

    In recent years, harnessing renewable energy from different sources of energies readily available to us in different forms such as solar, wind, wave, hydro, tidal, biomass and hydrogen has gained popularity among researchers in different fields to counter the emissions released into the atmosphere by utilization of fossil fuels. Amongst these, wave energy is driving researchers to develop efficient systems due to its remarkably high potential providing a reliable and sustainable energy source both onshore and offshore. This paper provides a comprehensive review of the developments, various design innovations, and performance optimization techniques in the recent years of the two most common wave energy converters installed across the globe i.e., point absorber wave energy converter and oscillating water column wave energy converter. The research papers on numerical modeling, experimental analysis on laboratory scaled models, and hydrodynamic performance simulations using various softwares on both the types of wave energy converters are tabulated in a year wise format. Moreover, a list of all the installed point absorber wave energy converters and oscillating water column wave energy converters are tabulated in a year wise format along with their installed capacities, location of deployment and the country of deployment. Lastly the key advantages of both the wave energy converters are outlined below.

    Original languageEnglish
    Pages (from-to)14743-14759
    Number of pages17
    JournalIEEE Access
    Volume13
    DOIs
    Publication statusPublished - 2025

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    All Science Journal Classification (ASJC) codes

    • General Computer Science
    • General Materials Science
    • General Engineering

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