Abstract
The utilization of hydrokinetic turbine technology represents an innovative and sustainable approach for generating electricity by harnessing the power of flowing water. Unlike traditional hydropower plants, hydrokinetic turbines offer several advantages as they do not require the construction of dams or large water reservoirs. This characteristic eliminates potential risks to local ecosystems and communities. By directly installing these turbines in waterways, the utilization of natural resources becomes more efficient and environmentally friendly. Consequently, this technology has the potential to provide clean and reliable electricity globally while also mitigating greenhouse gas emissions and addressing climate change. This research project focuses on conducting a comprehensive investigation through two-dimensional computational fluid dynamics simulations of a cross-flow hydrokinetic turbine model. By utilizing various Unsteady Reynolds-Averaged-Navier-Stokes models, the obtained results will be compared with previous experimental and CFD models. The flow field patterns will be analysed and compared to effectively illustrate the discrepancies and similarities among different turbulence models used.
Original language | English |
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Title of host publication | World Congress on Civil, Structural, and Environmental Engineering |
Number of pages | 9 |
Publisher | Avestia Publishing |
Publication date | 2024 |
Article number | 200 |
ISBN (Electronic) | 978-199080035-1 |
DOIs | |
Publication status | Published - 2024 |
Event | 9th World Congress on Civil, Structural, and Environmental Engineering - Imperial College London Conference Center, London, United Kingdom Duration: 14 Apr 2024 → 16 Apr 2024 |
Conference
Conference | 9th World Congress on Civil, Structural, and Environmental Engineering |
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Location | Imperial College London Conference Center |
Country/Territory | United Kingdom |
City | London |
Period | 14/04/2024 → 16/04/2024 |
Keywords
- Savonius Hydrokinetic Turbine
- Renewable Energy Harvest
- Flow Field Investigation
- CFD simulation
- URANS models
- Computational Techniques