...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Renewable energy >High efficiency design of an impulse turbine used in oscillating water column to harvest wave energy
【24h】

High efficiency design of an impulse turbine used in oscillating water column to harvest wave energy

机译：用于振荡水柱以收集波能的脉冲涡轮的高效设计

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Wave energy harvesting systems mostly have low power production capability because of unoptimized design of the system components. A bidirectional flow impulse-turbine used in such a system has efficiency less than 40%, and it is required to design the turbine for a higher efficiency. Present work finds an optimal design and shows design-variable sensitivity to the turbine efficiency. The problem is solved using numerical analysis technique. The flow through the turbine was analyzed by solving the Reynolds averaged Navier-Stokes equations (RANSE). The design variables; namely number of rotor blades and number of guide vane, guide vane angle and guide vane profile were modified to maximize the turbine efficiency. Using the Latin hypercube sampling technique, sample points were selected from a design space defined by lower and upper limits of the variables. Then, several surrogates were constructed using the RANSE calculated results, and the turbine performance was optimized. The results show that guide vane angle is the most sensitive parameter, while the guide vane profile has negligible effect on efficiency. A hybrid genetic algorithm searched the optimal design point. The relative mean efficiency enhancement over a wide range of flow coefficient was approximately 24%, while it was 28% at maximum efficiency point. (C) 2018 Elsevier Ltd. All rights reserved.
机译：由于系统组件的优化设计，波能收集系统大多具有较低的发电能力。在这种系统中使用的双向流动冲击式涡轮机的效率小于40％，并且需要将涡轮机设计成具有更高的效率。当前的工作找到了最佳的设计，并显示出对涡轮效率的设计可变灵敏度。使用数值分析技术解决了该问题。通过求解雷诺平均Navier-Stokes方程（RANSE）对通过涡轮的流量进行了分析。设计变量；即修改转子叶片的数量和导向叶片的数量，导向叶片角度和导向叶片轮廓，以使涡轮效率最大化。使用拉丁超立方体采样技术，从变量上下限定义的设计空间中选择了采样点。然后，使用RANSE的计算结果构造了几种替代方案，并对涡轮机性能进行了优化。结果表明，导流叶片角度是最敏感的参数，而导流叶片的轮廓对效率的影响可忽略不计。混合遗传算法搜索了最佳设计点。在较宽的流量系数范围内，相对平均效率提升约为24％，而在最大效率点为28％。 （C）2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2018年第6期|344-354|共11页
  • 作者

    Badhurshah Rameez; Dudhgaonkar Prasad; Jalihal Purnima; Samad Abdus;

  • 作者单位

    Indian Inst Technol Madras, Dept Ocean Engn, Wave Energy & Fluid Engn Lab, Madras 600036, Tamil Nadu, India;

    Natl Inst Ocean Technol, India Energy & Fresh Water Grp, Tambaram Rd, Madras 600100, Tamil Nadu, India;

    Natl Inst Ocean Technol, India Energy & Fresh Water Grp, Tambaram Rd, Madras 600100, Tamil Nadu, India;

    Indian Inst Technol Madras, Dept Ocean Engn, Wave Energy & Fluid Engn Lab, Madras 600036, Tamil Nadu, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wave energy; Impulse turbine; Optimization; Surrogate techniques;

    机译：波浪能;脉冲涡轮;优化;替代技术;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号