Influence of a Dual Axis IoT- Based Off-Grid Solar Tracking System and Wheatstone Bridge on Efficient Energy Harvesting and Management

Shamim Forhad, M. Hossen, Shibly Noman, I. A. Diba, Fuad Mahmud, Md. Oli Ullah, Suraiya Hossain, Md. Riazat Kabir Shuvo
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Abstract

Addressing the increasing need for sustainable energy solutions, this study presents an advanced dual-axis solar tracking system tailored for Mirpur, Dhaka, Bangladesh (23.8123° N, 90.3740° E). By integrating Internet of Things (IoT) based intelligent power management and automated panel cleaning, we aim to optimize the efficiency of solar photovoltaic (PV) systems. Our design significantly outperforms traditional fixed PV setups, achieving an average voltage improvement of about 18.59% throughout the day. Real-time data monitoring showcases the system's adaptability, with Solar Voltage (SV) and Solar Current (SC) standard deviations recorded at 1.059 and 0.058, respectively. This system not only captures sunlight more efficiently but also ensures self-maintenance, reducing manual intervention. The integration of IoT capabilities provides real-time feedback and adaptability. With a small household size of 4-6 members and a basic electricity demand as a prototype version, the study reveals promising results for sustainable energy solutions. In future integrating a Microgrid system for improved energy distribution and storage, alongside implementing a smart fuzzy logic-based tracking system to optimize solar panel orientation for maximum power generation.
基于物联网的双轴离网太阳能跟踪系统和惠斯通电桥对高效能源采集和管理的影响
为了满足对可持续能源解决方案日益增长的需求,本研究为孟加拉国达卡米尔布尔(北纬 23.8123°,东经 90.3740°)量身定制了一套先进的双轴太阳能跟踪系统。通过整合基于物联网(IoT)的智能电源管理和自动面板清洁,我们旨在优化太阳能光伏(PV)系统的效率。我们的设计明显优于传统的固定光伏装置,全天平均电压提高了约 18.59%。实时数据监测显示了系统的适应性,太阳能电压(SV)和太阳能电流(SC)的标准偏差分别为 1.059 和 0.058。该系统不仅能更有效地捕捉阳光,还能确保自我维护,减少人工干预。物联网功能的集成提供了实时反馈和适应性。这项研究以 4-6 人的小家庭和基本用电需求为原型,揭示了可持续能源解决方案的前景。未来,除了实施基于模糊逻辑的智能跟踪系统来优化太阳能电池板的方向以获得最大发电量外,还将整合微电网系统以改进能源分配和存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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