| RENEWABLE ENERGY | 卷:169 |
| A novel design and performance optimization methodology for hydraulic Cross-Flow turbines using successive numerical simulations | |
| Article | |
| Mehr, Goodarz1,3  Durali, Mohammad2  Khakrand, Mohammad Hadi1  Hoghooghi, Hadi1,4  | |
| [1] Sharif Univ Technol, Dept Mech Engn, Tehran, Iran | |
| [2] Sharif Univ Technol, Mech Engn, Azadi Ave, Tehran 111559567, Iran | |
| [3] Virginia Tech, Dept Mech Engn, Blacksburg, VA 24061 USA | |
| [4] Swiss Fed Inst Technol, Dept Mech & Proc Engn, Zurich, Switzerland | |
| 关键词: Cross-flow turbine; Parametric design; Computational fluid dynamics (CFD); Optimization; | |
| DOI : 10.1016/j.renene.2021.01.090 | |
| 来源: Elsevier | |
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【 摘 要 】
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 (R)-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. (C) 2021 Elsevier Ltd. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_renene_2021_01_090.pdf | 6207KB |
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