IoT-Based Solar Monitor System

Burhanuddin Abdullah, Suman Lata
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Abstract

Energy monitoring of PV-based energy systems is required for several convincing reasons, including the rising need for the same, high operational costs, and high energy prices. This paper presents the development of a real-time, IoT-based solar monitoring system. General purpose microcontroller has been integrated with current and voltage sensors to collect the data. The collective data is displayed, and the power produced is calculated using an IoT analysis platform. Actual current, voltage and power measurements have been done using an available ammeter, voltmeter and wattmeter respectively. Calculation of the error between the actual measurements and IoT-based measurements is calculated under various load conditions. A tiny flash memory card has been used for long-term storage. Thing Speak an IoT-based analytics platform service has been used for visualization and analysis. The performance evaluation which is done on the basis of error calculation reveals the conformity between the actual and the IoT-based measurements. The developed system has been validated under constant temperature and humidity conditions. In future, the model can be tested for variable temperature and humidity conditions on hybrid PV systems.
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基于物联网的太阳能监测系统
出于几个令人信服的原因,需要对基于pv的能源系统进行能源监测,包括对相同的需求不断增长,高运营成本和高能源价格。本文介绍了一种基于物联网的实时太阳能监测系统的开发。通用微控制器集成了电流和电压传感器来采集数据。显示集体数据,并使用物联网分析平台计算产生的功率。实际的电流、电压和功率测量分别用现有的电流表、电压表和瓦特表完成。计算了各种负载条件下实际测量值与基于物联网的测量值之间的误差。一个微小的闪存卡被用于长期存储。Thing Speak是一种基于物联网的分析平台服务,用于可视化和分析。在误差计算的基础上进行性能评估,揭示了实际测量结果与物联网测量结果的一致性。该系统已在恒温恒湿条件下进行了验证。未来,该模型可用于混合光伏系统的变温变湿条件下的测试。
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