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A novel design and performance optimization methodology for hydraulic Cross-Flow turbines using successive numerical simulations

Mehr, G ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.renene.2021.01.090
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. This paper introduces a new methodology for designing and optimizing the performance of hydraulic Cross-Flow turbines for a wide range of operating conditions. The methodology is based on a one-step approach for the system-level design phase and a three-step, successive numerical analysis approach for the detail design phase. Compared to current design methodologies, not only does this approach break down the process into well-defined steps and simplify it, but it also has the advantage that once numerical simulations are conducted for a single turbine, most of the results can be used for an entire class of Cross-Flow turbines. In this paper, after a discussion of the research background, we explain the design process used and the ANSYS®-based CFD model of the turbine in detail. The design process consists of three steps. First, designing nozzle geometry; second, optimizing runner parameters; and third, enhancing turbine performance by analyzing various load conditions. A turbine designed using this process in a simulation case study achieves a peak hydraulic efficiency of 91% and peak overall efficiency of 82% that is maintained for volume flow rates as low as 14% of the nominal value and water head variations up to 30% of the nominal value. © 2021 Elsevier Ltd
  6. Keywords:
  7. Computational fluid dynamics ; Efficiency ; Hydraulic motors ; Hydraulic turbines ; Nozzle design ; Numerical models ; Cross flow turbines ; Design Methodology ; Hydraulic efficiency ; Operating condition ; Overall efficiency ; Performance optimizations ; System level design ; Turbine performance ; Design ; Detection method ; Methodology ; Operations technology ; Optimization ; Performance assessment ; Simulation ; Turbine ; Wind turbine
  8. Source: Renewable Energy ; Volume 169 , 2021 , Pages 1402-1421 ; 09601481 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0960148121000975