Optimization of Stable Energy PV Systems Using the Internet of Things (IoT)

Q3 Environmental Science
Y. Al-Sharo, Khalid Al Smadi, Takialddin Al Smadi, Y. N.
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引用次数: 0

Abstract

The modern power grid faces rapid growth in load demand due to industrialization, leading to an unregulated environment and increasing adoption of renewable energy sources, which presents technical challenges, particularly in terms of stability. Hydrogen conversion technology revolutionizes clean electricity storage with renewable energy, and solar hydrogen is now available in autonomous solar systems. The efficiency of solar photovoltaic systems is closely related to using digital electronic maximum peak power tracking (MPPT) technology. The Internet of Things (IoT) is crucial for performance monitoring and real-time control of PV systems, enhancing the understanding of real-time operating parameters. IoT and wireless sensor networks for distributed solar energy devices and joint building design are essential for developing the photovoltaic construction industry. In this paper, the monitoring system that has been proposed offers a potentially effective solution for the intelligent remote and real-time monitoring of solar photovoltaic (PV) systems. It demonstrated a high level of accuracy, reaching 98.49%, and can transmit graphical representations to a smartphone application within a time frame of 52.34 seconds. Consequently, the battery's longevity was extended, energy consumption was diminished, and the quality of service (QoS) for real-time applications inside the Internet of Things (IoT) was enhanced.
利用物联网优化稳定能源光伏系统
现代电网面临着工业化带来的负荷需求快速增长,从而导致了不规范的环境和越来越多地采用可再生能源,这带来了技术挑战,尤其是在稳定性方面。氢转换技术彻底改变了利用可再生能源进行清洁电力存储的方式,目前自主太阳能系统中已经可以使用太阳能氢。太阳能光伏系统的效率与使用数字电子最大峰值功率跟踪(MPPT)技术密切相关。物联网(IoT)对于光伏系统的性能监测和实时控制至关重要,可增强对实时运行参数的了解。用于分布式太阳能设备和联合建筑设计的物联网和无线传感器网络对光伏建筑行业的发展至关重要。本文提出的监测系统为太阳能光伏(PV)系统的智能远程实时监测提供了一个潜在的有效解决方案。该系统的准确率高达 98.49%,并能在 52.34 秒的时间内将图形显示传输到智能手机应用程序。因此,延长了电池的使用寿命,降低了能耗,并提高了物联网(IoT)内实时应用的服务质量(QoS)。
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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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
56
审稿时长
8 weeks
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