为预测焦特布尔室外气候条件下电池温度和功率输出而建立的光伏电池板热建模

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Harish Kumar Khyani, Jayashri Vajpai, R. Karwa, Mahendra Bhadu
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引用次数: 0

摘要

温度升高会严重影响光伏电池的效率,进而影响其功率输出。此外,温度升高还会产生热应力,从而缩短电池的使用寿命。因此,有必要对电池的工作温度进行精确估算。本文提出了一个基于各种热传导模式及其控制方程的详细热模型,使用 MATLAB 软件估算不同气候和日照条件下光伏组件的电池温度。为了验证所提出的模型,在拉贾斯坦邦塔尔沙漠中的城市焦特布尔的实际室外条件下建立并运行了一个实验装置。在夏季高峰期的 6 月份,预测的玻璃盖板外表面温度与实验测量值相差 0.2-4.5 摄氏度,背板温度相差 0.5-5.5 摄氏度。功率输出的预测值和测量值在 0.85-1.2 W 之间,效率值在 0.17-0.38% 之间。在初夏的四月,玻璃盖板温度、背板温度、功率输出和效率的变化分别为 0.13-4.1°C、0.2-4.1°C、0.44-1.65 W 和 0.1-0.5%。因此,所开发的热模型的预测结果与实验结果非常吻合。在初夏和盛夏的实验中,当环境温度分别为 35°C 和 42°C 时,玻璃盖板的最高温度分别为 60°C 和 65.5°C。该模型可用于根据已知地点的环境数据生成全年的电池温度数据,这有助于在太阳能光伏电站安装的规划阶段选择或开发适当的冷却技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal Modeling of Photovoltaic Panel for Cell Temperature and Power Output Predictions under Outdoor Climatic Conditions of Jodhpur
The rise in the temperature severely affects photovoltaic cell efficiency and hence its power output. Moreover, it also causes the development of thermal stresses that may reduce their life span. Thus, there is a need for an accurate estimation of the cell’s working temperature. In this paper, a detailed thermal model based on various heat transfer modes involved and their governing equations has been presented to estimate the cell temperature of a PV module using MATLAB software under different climatic and solar insolation conditions. In order to validate the presented model, an experimental setup has been built and operated under actual outdoor conditions of Jodhpur, a city in the Thar Desert of Rajasthan. For the peak summer month of June, the predicted glass cover outer surface temperature has been found to be within 0.2–4.5°C of experimentally measured values and the back sheet temperature is found to be within 0.5–5.5°C. The predicted and measured power outputs have been found to be within 0.85–1.2 W while the efficiency values are within 0.17–0.38%. For the early summer month of April, the variations are 0.13–4.1°C, 0.2–4.1°C, 0.44–1.65 W, and 0.1–0.5% for glass cover temperature, back sheet temperature, power output, and efficiency, respectively. Thus, the predictions of the developed thermal model have exhibited a good agreement with the experimental results. The maximum glass cover temperatures recorded were 60°C and 65.5°C when the ambient temperatures were 35°C and 42°C near the noon for the early summer and peak summer day experiments, respectively. The presented model can be used to generate a year-round cell temperature data for the known environmental data of a location, which can help in the selection or development of appropriate cooling technology at the planning stage of the installation of a solar PV plant.
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来源期刊
Journal of Electrical and Computer Engineering
Journal of Electrical and Computer Engineering COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.20
自引率
0.00%
发文量
152
审稿时长
19 weeks
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