A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions
A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions
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DOI：
10.3390/en13133318
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发表时间：
2020-07-01
期刊：
影响因子：
3.2
通讯作者：
Bognar, Gyorgy
中科院分区：
文献类型：
--
作者：
Abdulrazzaq, Ali Kareem;Plesz, Balazs;Bognar, Gyorgy
温度对光伏组件的输出功率和机械性能有显著影响。测量这种堆叠层结构的温度是不切实际的，特别是当我们谈论发电厂中的大量模块时。本文介绍了一种新的热模型来估计模块/电池中嵌入式电子结的温度以及它们的前表面和后表面温度。本文的新奇可以从不同的方面体现出来。首先，该模型包括一个新的系数，我们定义为强制对流调节系数来模拟模块倾斜角度对强制对流传热机制的影响。第二，在文献中发现的有效子模型的新组合产生了通过并入新系数来估计PV模块/电池的温度的独特且可靠的方法。此外，本文还对现有的光伏热模型和相关参数的确定表达式进行了全面的回顾，并对它们进行了测试，以找到最佳组合。热平衡方程已被用来构建热模型。验证阶段表明，通过引入新的强制对流调整系数，模块温度的估计有显着改善。多晶和非晶模块的测量已被用来验证所提出的模型。多个误差指示参数已被用来验证模型，并通过比较所获得的结果，在最近和最准确的文献中报道的那些验证。
Temperature has a significant effect on the photovoltaic module output power and mechanical properties. Measuring the temperature for such a stacked layers structure is impractical to be carried out, especially when we talk about a high number of modules in power plants. This paper introduces a novel thermal model to estimate the temperature of the embedded electronic junction in modules/cells as well as their front and back surface temperatures. The novelty of this paper can be realized through different aspects. First, the model includes a novel coefficient, which we define as the forced convection adjustment coefficient to imitate the module tilt angle effect on the forced convection heat transfer mechanism. Second, the new combination of effective sub-models found in literature producing a unique and reliable method for estimating the temperature of the PV modules/cells by incorporating the new coefficient. In addition, the paper presents a comprehensive review of the existing PV thermal sub-models and the determination expressions of the related parameters, which all have been tested to find the best combination. The heat balance equation has been employed to construct the thermal model. The validation phase shows that the estimation of the module temperature has significantly improved by introducing the novel forced convection adjustment coefficient. Measurements of polycrystalline and amorphous modules have been used to verify the proposed model. Multiple error indication parameters have been used to validate the model and verify it by comparing the obtained results to those reported in recent and most accurate literature.