LAPSE:2023.1979v1
Published Article
LAPSE:2023.1979v1
Development of a Hydrokinetic Turbine Backwater Prediction Model for Inland Flow through Validated CFD Models
February 21, 2023
Abstract
Hydrokinetic turbine deployment in inland water reticulation systems such as irrigation canals has potential for future renewable energy development. Although research and development analysing the hydrodynamic effects of these turbines in tidal applications has been carried out, inland canal system applications with spatial constraints leading to possible blockage and backwater effects resulting from turbine deployment have not been considered. Some attempts have been made to develop backwater models, but these were site-specific and performed under constant operational conditions. Therefore, the aim of this work was to develop a generic and simplified method for calculating the backwater effect of HK turbines in inland systems. An analytical backwater approximation based on assumptions of performance metrics and inflow conditions was tested using validated computational fluid dynamics (CFD) models. For detailed prediction of the turbine effect on the flow field, CFD models based on Reynolds-averaged Navier−Stokes equations with Reynolds stress closure models were employed. Additionally, a multiphase model was validated through experimental results to capture the water surface profile and backwater effect with reasonable accuracy. The developed analytical backwater model showed good correlation with the experimental results. The model’s energy-based approach provides a simplified tool that is easily incorporated into simple backwater approximations, while also allowing the inclusion of retaining structures as additional blockages. The model utilizes only the flow velocity and the thrust coefficient, providing a useful tool for first-order analysis of the backwater from the deployment of inland turbine systems.
Keywords
axial flow turbines, backwater, Computational Fluid Dynamics, hydrokinetic, inland hydrokinetic
Suggested Citation
Niebuhr CM, Hill C, Van Dijk M, Smith L. Development of a Hydrokinetic Turbine Backwater Prediction Model for Inland Flow through Validated CFD Models. (2023). LAPSE:2023.1979v1
Author Affiliations
Niebuhr CM: Department of Civil Engineering, University of Pretoria, Pretoria 0001, South Africa [ORCID]
Hill C: Mechanical and Industrial Engineering Department, University of Minnesota-Duluth, Duluth, MN 55812, USA [ORCID]
Van Dijk M: Department of Civil Engineering, University of Pretoria, Pretoria 0001, South Africa [ORCID]
Smith L: Department of Mechanical Engineering, University of Pretoria, Pretoria 0001, South Africa [ORCID]
Journal Name
Processes
Volume
10
Issue
7
First Page
1310
Year
2022
Publication Date
2022-07-04
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10071310, Publication Type: Journal Article
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LAPSE:2023.1979v1
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https://doi.org/10.3390/pr10071310
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Feb 21, 2023
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