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首页> 外文期刊>Journal of power sources >On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment
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On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment

机译:使用自动冷却系统提高光伏模块的能量收集性能并评估其减轻温室效应对环境的经济效益

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摘要

The performance of photovoltaic (PV) modules under outdoor operation is greatly affected by their location and environmental conditions. The temperature of a PV module gradually increases as it is exposed to solar irradiation, resulting in degradation of its electrical characteristics and power generation efficiency. This study adopts wireless sensor network (WSN) technology to develop an automatic water-cooling system for PV modules in order to improve their PV power generation efficiency. A temperature estimation method is developed to quickly and accurately estimate the PV module temperatures based on weather data provided from the WSN monitoring system. Further, an estimation method is also proposed for evaluation of the electrical characteristics and output power of the PV modules, which is performed remotely via a control platform. The automatic WSN-based water-cooling mechanism is designed to avoid the PV module temperature from reaching saturation. Equipping each PV module with the WSN-based cooling system, the ambient conditions are monitored automatically so that the temperature of the PV module is controlled by sprinkling water on the panel surface. The field-test experiment results show an increase in the energy harvested by the PV modules of approximately 17.75% when using the proposed WSN-based cooling system.
机译:光伏(PV)模块在室外操作下的性能受其位置和环境条件的影响很大。随着暴露在太阳辐射下,PV模块的温度逐渐升高,导致其电气特性和发电效率下降。这项研究采用无线传感器网络(WSN)技术开发了用于光伏组件的自动水冷系统,以提高其光伏发电效率。开发了一种温度估算方法,可以根据WSN监控系统提供的天气数据快速准确地估算光伏组件的温度。此外,还提出了一种评估方法,用于评估光伏组件的电气特性和输出功率,该方法可通过控制平台远程执行。基于WSN的自动水冷机制旨在避免PV组件温度达到饱和。为每个PV模块配备基于WSN的冷却系统,可自动监视环境条件,以便通过在面板表面洒水来控制PV模块的温度。现场测试实验结果表明,使用建议的基于WSN的冷却系统时,PV组件收集的能量增加了约17.75%。

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