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3 articles for “Ocean Energy Converters”
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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A Novel Approach for Power Generation from Ocean Waves Using Ratchet and Pawl Mechanism
Abstract: Renewable energy sources collectively contribute around 29% to 30% of global electricity generation. Solar and wind power’s intermittency and weather dependency pose challenges for unreliable energy generation, requiring storage solutions like batteries and environmental considerations. By considering the above-mentioned factors, ocean wave energy stands out as a promising and consistent renewable source. Ocean wave energy is highly predictable and consistent, offering a dependable power supply with minimal greenhouse gas emissions …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal
Abstract: The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 1–20 Read article