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首页> 外文期刊>International journal of green energy >ESTIMATION OF HOURLY TEMPERATURE AT A SITE AND ITS IMPACT ON ENERGY YIELD OF A PV MODULE
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ESTIMATION OF HOURLY TEMPERATURE AT A SITE AND ITS IMPACT ON ENERGY YIELD OF A PV MODULE

机译：站点的小时温度估算及其对光伏组件的发电量的影响

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摘要

This paper discusses a method for estimating the hourly temperature at a location, if the ambient maximum and minimum temperatures of a particular day, along with the maximum temperature on the previous day and the minimum temperature of the following day, are known. The impact of estimated temperature on the energy yield of a photovoltaic (PV) module is also discussed with the help of a mathematical model Algorithms have been developed for relevant computations and implemented using MATLAB. Hourly meteorological data of Bhopal and Trivandrum, Indie, have been considered for studying, analyzing, and validating the results. A PV module (BP 3215) manufactured by BP Solar Ltd. has been considered for analyzing the results in terms of energy generation. The statistical error parameters calculated for the estimated hourly temperature indicate a reasonable degree of accuracy of estimation. The values of mean absolute error (MAE) and root mean square error (RMSE) are superior to those of other models and that of R~2 is comparable. The estimated values of yearly and monthly average of hourly temperature are invariably found to be more than the corresponding measured values. At these two locations, there is a reasonable linear fit between monthly averages of hourly temperature, calculated from the estimated and measured values of hourly temperature. The deviation between the two values of annual energy generated, one calculated from the estimated values and the other from the measured values of hourly temperature, is nominal. Thus, the estimated values of hourly temperature can be used for energy estimation and feasibility analysis of PV system, with a fair degree of accuracy.
机译：本文讨论了一种方法，如果已知某一天的环境最高和最低温度以及前一天的最高温度和第二天的最低温度，则可以估算该位置的每小时温度。还借助数学模型讨论了估计温度对光伏（PV）模块能量产生的影响。已经为相关计算开发了算法，并使用MATLAB进行了实现。已考虑使用印度独立的博帕尔和特里凡得琅的每小时气象数据来研究，分析和验证结果。考虑了由BP Solar Ltd.制造的PV模块（BP 3215）来分析能量产生的结果。为估计的每小时温度计算出的统计误差参数表明估计的合理程度。平均绝对误差（MAE）和均方根误差（RMSE）的值优于其他模型，R〜2的值可比。始终发现每小时温度的年平均值和月平均值的估计值大于相应的测量值。在这两个位置，从每小时温度的估计值和实测值计算得出的每小时小时平均数之间存在合理的线性拟合。标称是年发电量的两个值之间的偏差，一个是根据估算值计算的，另一个是根据每小时温度的测量值计算的。因此，每小时温度的估计值可以用于光伏系统的能量估计和可行性分析，并且准确性很高。

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