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A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm

机译:基于太阳位置算法的低成本闭环太阳能跟踪系统

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摘要

Sun position and the optimum inclination of a solar panel to the sun vary over time throughout the day. A simple but accurate solar position measurement system is essential for maximizing the output power from a solar panel in order to increase the panel efficiency while minimizing the system cost. Solar position can be measured either by a sensor (active/passive) or through the sun position monitoring algorithm. Sensor-based sun position measuring systems fail to measure the solar position in a cloudy or intermittent day, and they require precise installation and periodic calibrations. In contrast, the sun position algorithms use mathematical formula or astronomical data to obtain the station of the sun at a particular geographical location and time. A standalone low-cost but high-precision dual-axis closed-loop sun-tracking system using the sun position algorithm was implemented in an 8-bit microcontroller platform. The Astronomical Almanac's (AA) algorithm was used for its simplicity, reliability, and fast computation capability of the solar position. Results revealed that incorporation of the sun position algorithm into a solar tracking system helps in outperforming the fixed system and optical tracking system by 13.9% and 2.1%, respectively. In summary, even for a small-scale solar tracking system, the algorithm-based closed-loop dual-axis tracking system can increase overall system efficiency.
机译:太阳位置和太阳能电池板到太阳的最佳倾斜度在整天内随着时间的变化而变化。简单但精确的太阳能位置测量系统对于最大化来自太阳能电池板的输出电源至关重要,以提高面板效率,同时最小化系统成本。可以通过传感器(主动/被动)或通过太阳位置监控算法来测量太阳能位置。基于传感器的太阳位置测量系统未能在阴天或间歇日测量太阳能位置,并且它们需要精确安装和定期校准。相反,太阳位置算法使用数学公式或天文数据来获得特定地理位置和时间的太阳站。使用Sun位置算法的独立低成本但高精度双轴闭环Sun跟踪系统在8位微控制器平台中实现。天文历勒曼(AA)算法用于太阳能位置的简单性,可靠性和快速计算能力。结果表明,将太阳位置算法纳入太阳能跟踪系统有助于分别优于固定系统和光学跟踪系统13.9%和2.1%。总之,即使对于小型太阳能跟踪系统,算法的闭环双轴跟踪系统也可以提高整体系统效率。

著录项

  • 来源
    《Journal of Sensors》 |2019年第1期|共11页
  • 作者单位

    Electrical Engineering Department College of Engineering Qatar University;

    Electrical Engineering Department College of Engineering Qatar University;

    Department of EECS Graduate School of Engineering University of Hyogo;

    Electrical Engineering Department College of Engineering Qatar University;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212;
  • 关键词

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