Innovative Design and Comprehensive Computational Investigations on the Performance Enhancement of Advanced Horizontal Axis Turbines for Unmanned Marine Vehicles

<div class="section abstract"><div class="htmlview paragraph">The integration of advanced horizontal axis turbines (HATs) into unmanned marine vehicles (UMVs) significantly enhances their operational efficiency by providing power sources. These vehicles, designed for diverse applications, require efficient power systems to operate autonomously over extended periods. The major disadvantages are limited battery life and energy storage capabilities that restrict the operational range and endurance of the UMVs. Utilizing HATs in UMVs provides a renewable energy source, reducing operational costs. This continuous power supply enhances mission capabilities and promotes energy independence, making them ideal for long-term missions. Thus, using Computational fluid dynamics (CFD) models, hydrodynamic and aerodynamic analyses were carried out. For the hydrodynamic scenario, a velocity of 10 m/s and for the aerodynamic case, 27.7778 m/s, were taken into consideration. It is concluded that the UMV with Stepped HAT modification can be effectively employed for energy extraction because it provides the maximum torque, which is 50.65% more in hydrodynamic analysis and 58.03% more in aerodynamic study than the base case. It was also found that the performance was enhanced by the HATs, thus concluding that the modified HAT blades provided better results.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-02-06
DOI
https://doi.org/10.4271/2025-28-0188
Citations
6
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
29.96
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article

Innovative Design and Comprehensive Computational Investigations on the Performance Enhancement of Advanced Horizontal Axis Turbines for Unmanned Marine Vehicles

Vijayanandh Raja, Naveen Kumar Kulandaiyappan, L. Natrayan, Beena Stanislaus Arputharaj et al.
6 citations
SAE technical papers on CD-ROM/SAE technical paper series
Wind Energy Research and Development
29.96
article

Innovative Design and Comprehensive Computational Investigations on the Performance Enhancement of Advanced Horizontal Axis Turbines for Unmanned Marine Vehicles

Vijayanandh Raja, Naveen Kumar Kulandaiyappan, L. Natrayan, Beena Stanislaus Arputharaj, Raj Kumar Gnanasekaran, Gopinath Vinayagam, Laxana Sourirajan, Durga Devi Gunasekaran, Haridharan Kannan
article en
6 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">The integration of advanced horizontal axis turbines (HATs) into unmanned marine vehicles (UMVs) significantly enhances their operational efficiency by providing power sources. These vehicles, designed for diverse applications, require efficient power systems to operate autonomously over extended periods. The major disadvantages are limited battery life and energy storage capabilities that restrict the operational range and endurance of the UMVs. Utilizing HATs in UMVs provides a renewable energy source, reducing operational costs. This continuous power supply enhances mission capabilities and promotes energy independence, making them ideal for long-term missions. Thus, using Computational fluid dynamics (CFD) models, hydrodynamic and aerodynamic analyses were carried out. For the hydrodynamic scenario, a velocity of 10 m/s and for the aerodynamic case, 27.7778 m/s, were taken into consideration. It is concluded that the UMV with Stepped HAT modification can be effectively employed for energy extraction because it provides the maximum torque, which is 50.65% more in hydrodynamic analysis and 58.03% more in aerodynamic study than the base case. It was also found that the performance was enhanced by the HATs, thus concluding that the modified HAT blades provided better results.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Saveetha University (IN)
Openalex Percentile: Top 1%
Wind Energy Research and Development
29.96
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