Assessment of Cooling Technologies for Solar Photovoltaic Panels Accounting for Local Solar Irradiance and Ambient Temperature Conditions

Marcelo Lucas Aguilar, Cesar Celis
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Abstract

The growing energy demand and climate change emphasize the need to continuously use environmentally friendly energy sources. Consequently, renewable energy sources such as solar energy, which relies on the use of photovoltaic modules, have become popular in recent years. Photovoltaic (PV) modules convert the incident solar irradiance to electric energy. In such devices, by reducing the operating temperature, the associated solar energy conversion efficiency can be increased, and their lifetime extended. Accordingly, to compare their impact on the performance of PV modules, three different cooling methods, all of them coupled to a thermoelectric (TE) generator, (i) natural cooling, (ii) forced air cooling, and (iii) water cooling, are assessed. To evaluate the referred cooling methods, a computational model describing the behavior of the studied cooling methods is initially developed. Then, a PV model accurately predicting the behavior of commercial PV modules is developed and coupled to the cooling methods one. Finally, accounting for local ambient conditions and system operation over the course of one year, several simulations of PV modules with and without cooling systems are carried out using the developed tool. The main results indicate that some cooling techniques are adequate for some months of the year only, whereas the others do so for the remaining months. Indeed, PV module temperature reductions of up 7.7% and system efficiencies of up to 17.2% are observed. One of the particularities of this work relates to the use of local ambient conditions and system operation over a whole operating year.
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考虑当地太阳辐照度和环境温度条件的太阳能光伏板冷却技术评估
不断增长的能源需求和气候变化强调了持续使用环境友好型能源的必要性。因此,可再生能源,如太阳能,依赖于光伏组件的使用,近年来变得流行。光伏(PV)组件将入射太阳辐照度转换为电能。在这种装置中,通过降低工作温度,可以提高相关的太阳能转换效率,并延长其使用寿命。因此,为了比较它们对光伏组件性能的影响,我们评估了三种不同的冷却方法,它们都与热电(TE)发电机耦合,(i)自然冷却,(ii)强制空气冷却和(iii)水冷却。为了评估所提到的冷却方法,首先开发了一个描述所研究的冷却方法行为的计算模型。然后,建立了一个准确预测商用光伏组件行为的PV模型,并将其与冷却方法相结合。最后,考虑到当地环境条件和系统在一年内的运行情况,使用开发的工具对有冷却系统和没有冷却系统的光伏模块进行了多次模拟。主要结果表明,一些冷却技术仅适用于一年中的某些月份,而其他冷却技术则适用于其余月份。事实上,光伏组件温度降低了7.7%,系统效率提高了17.2%。这项工作的一个特点是使用当地的环境条件和整个操作年的系统运行。
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