CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs)
Current performance analysis processes for drag-dominant tidal turbines are unsuitable as disk actuator theory lacks support for varying swept blockage area, bypass flow downstream interaction, and parasitic rotor drag, whereas blade element momentum theory is computably effective for three-blade li...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/169148 |
| _version_ | 1811686171776909312 |
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| author | Zhang, Yixiao Mittal, Shivansh Ng, Eddie Yin-Kwee |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Zhang, Yixiao Mittal, Shivansh Ng, Eddie Yin-Kwee |
| author_sort | Zhang, Yixiao |
| collection | NTU |
| description | Current performance analysis processes for drag-dominant tidal turbines are unsuitable as disk actuator theory lacks support for varying swept blockage area, bypass flow downstream interaction, and parasitic rotor drag, whereas blade element momentum theory is computably effective for three-blade lift-dominated aerofoil. This study proposes a novel technique to calculate the optimal turbine tip speed ratio (TSR) with a cost-effective and user-friendly moment balancing algorithm. A reliable dynamic TSR matrix was developed with varying rotational speeds and fluid velocities, unlike previous works simulated at a fixed fluid velocity. Thrust and idle moments are introduced as functions of inlet fluid velocity and rotational speed, respectively. The quadratic relationships are verified through regression analysis, and net moment equations are established. Rotational speed was a reliable predictor for Pinwheel’s idle moment, while inlet velocity was a reliable predictor for thrust moment for both models. The optimal (Cp, TSR) values for Pinwheel and Savonius turbines were (0.223, 2.37) and (0.63, 0.29), respectively, within an acceptable error range for experimental validation. This study aims to improve prevailing industry practices by enhancing an engineer’s understanding of optimal blade design by adjusting the rotor speed to suit the inlet flow case compared to ‘trial and error’ with cost-intensive simulations. |
| first_indexed | 2024-10-01T04:56:11Z |
| format | Journal Article |
| id | ntu-10356/169148 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:56:11Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1691482023-07-08T16:47:53Z CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) Zhang, Yixiao Mittal, Shivansh Ng, Eddie Yin-Kwee School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Simulation Validation Blade Shape Optimization Current performance analysis processes for drag-dominant tidal turbines are unsuitable as disk actuator theory lacks support for varying swept blockage area, bypass flow downstream interaction, and parasitic rotor drag, whereas blade element momentum theory is computably effective for three-blade lift-dominated aerofoil. This study proposes a novel technique to calculate the optimal turbine tip speed ratio (TSR) with a cost-effective and user-friendly moment balancing algorithm. A reliable dynamic TSR matrix was developed with varying rotational speeds and fluid velocities, unlike previous works simulated at a fixed fluid velocity. Thrust and idle moments are introduced as functions of inlet fluid velocity and rotational speed, respectively. The quadratic relationships are verified through regression analysis, and net moment equations are established. Rotational speed was a reliable predictor for Pinwheel’s idle moment, while inlet velocity was a reliable predictor for thrust moment for both models. The optimal (Cp, TSR) values for Pinwheel and Savonius turbines were (0.223, 2.37) and (0.63, 0.29), respectively, within an acceptable error range for experimental validation. This study aims to improve prevailing industry practices by enhancing an engineer’s understanding of optimal blade design by adjusting the rotor speed to suit the inlet flow case compared to ‘trial and error’ with cost-intensive simulations. Published version The authors would like to thank Nanyang Technological University for providing the computing facilities needed to carry out this study, as well as the Interdisciplinary Graduate School scholarship for funding this project. 2023-07-04T07:12:39Z 2023-07-04T07:12:39Z 2023 Journal Article Zhang, Y., Mittal, S. & Ng, E. Y. (2023). CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs). Processes, 11(7), 1895-. https://dx.doi.org/10.3390/pr11071895 2227-9717 https://hdl.handle.net/10356/169148 10.3390/pr11071895 7 11 1895 en Processes © 2023 by the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Engineering::Mechanical engineering Simulation Validation Blade Shape Optimization Zhang, Yixiao Mittal, Shivansh Ng, Eddie Yin-Kwee CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title | CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title_full | CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title_fullStr | CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title_full_unstemmed | CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title_short | CFD validation of moment balancing method on drag-dominant tidal turbines (DDTTs) |
| title_sort | cfd validation of moment balancing method on drag dominant tidal turbines ddtts |
| topic | Engineering::Mechanical engineering Simulation Validation Blade Shape Optimization |
| url | https://hdl.handle.net/10356/169148 |
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