Optimization Study on the Blade Profiles of A Horizontal Axis Tidal Turbine Based on BEM-CFD Model
| Autor: | Xue-meng Chen, Bin Huang, Dahai Zhang, Lan Ding, Jin-tao Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Momentum (technical analysis)
Blade (geometry) Renewable Energy Sustainability and the Environment business.industry 020209 energy Mechanical Engineering 020101 civil engineering Ocean Engineering 02 engineering and technology Mechanics Computational fluid dynamics Oceanography Multi-objective optimization 0201 civil engineering Genetic algorithm Offshore geotechnical engineering 0202 electrical engineering electronic engineering information engineering Pitch angle business Tidal power Mathematics |
| Zdroj: | China Ocean Engineering. 33:436-445 |
| ISSN: | 2191-8945 0890-5487 |
| DOI: | 10.1007/s13344-019-0041-5 |
| Popis: | In order to increase the performance of horizontal tidal turbines, a multi-objective optimization model was proposed in this study. Firstly, the prediction model for horizontal tidal turbines was built, which coupled the blade element momentum (BEM) theory and the CFD calculation. Secondly, a multi-objective optimization method coupled the response surface method (RSM) with the multi-objective genetic algorithm NSGA-II was applied to obtain the optimal blade profiles. The pitch angle and the chord length distribution were chosen as the design variables, while the mean power coefficient and the variance of power coefficient were chosen as the objective functions. With the mean power coefficient improved by 4.1% and the variance of power coefficient decreased by 46.7%, results showed that both objective functions could be improved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink