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Twisted Savonius turbine based marine current energy conversion system.

机译:基于扭曲的Savonius涡轮机的海流能量转换系统。

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摘要

The Ocean Network Seafloor Instrumentation (ONSFI) Project is a multidisciplinary research and development project that aims to design, fabricate and validate a proof-of-concept seafloor array of wireless marine sensors for use in monitoring seabed processes. The sensor pods, known as Seaformatics, will be powered by ocean bottom currents and will be able to communicate with each other and to the Internet through surface master units to facilitate observation of the ocean floor from the shore. This thesis explores the use of the twisted Savonius turbine as a means of converting the kinetic energy of the free flowing water into electrical energy for the pods. This will eliminate the need for battery replacement. A physical model of the turbine was constructed and tested in the Water Flume at the Marine Institute of Memorial University and in the Wind Tunnel in the Engineering Building at Memorial University. A mathematical model of the turbine was constructed in SolidWorks. This was tested in the Computational Fluid Dynamics or CFD software FLOW-3D. Experimental results were compared with CFD results and the agreement was reasonable. A twisted Savonius turbine emulator was developed to test a dc-dc boost converter. A low cost microcontroller based MPPT algorithm was developed to obtain maximum power from the turbine. Overall the thesis shows that the twisted Savonius turbine can provide the power needed by the sensor pods. It also shows that CFD is a viable way to study the performance of the Savonius type of turbine.
机译:海洋网络海底仪器仪表(ONSFI)项目是一个多学科的研究和开发项目,旨在设计,制造和验证用于监测海底过程的无线海洋传感器的概念验证海底阵列。传感器吊舱(称为Seaformatics)将由海底电流供电,并能够通过水面主机相互通信并与Internet通讯,以方便从海岸观察海底。本文探讨了利用扭曲的Savonius涡轮机将水自由流动的动能转化为豆荚的电能的方法。这样就无需更换电池。在纪念大学海洋研究所的水槽和纪念大学工程大楼的风洞中构造并测试了涡轮机的物理模型。在SolidWorks中构建了涡轮机的数学模型。这已在计算流体动力学或CFD软件FLOW-3D中进行了测试。将实验结果与CFD结果进行比较,结果吻合合理。开发了一种扭曲的Savonius涡轮仿真器来测试dc-dc升压转换器。开发了一种基于低成本微控制器的MPPT算法,以从涡轮机获取最大功率。总体而言,论文表明,扭曲的Savonius涡轮可以提供传感器吊舱所需的功率。它还表明,CFD是研究Savonius型涡轮机性能的可行方法。

著录项

  • 作者

    Hassan, Md. Imtiaj.;

  • 作者单位

    Memorial University of Newfoundland (Canada).;

  • 授予单位 Memorial University of Newfoundland (Canada).;
  • 学科 Engineering Electronics and Electrical.;Energy.;Engineering Marine and Ocean.
  • 学位 M.Eng.
  • 年度 2011
  • 页码 171 p.
  • 总页数 171
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 普通生物学;
  • 关键词

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