Operation of a solar power plant with dual-axis solar tracker

S. Mitrofanov, D. K. Baykasenov
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Abstract

The paper evaluates the generation of electrical energy by a solar power plant equipped with a solar tracking system using the ASHRAE clear-sky method for calculating solar insolation. The mathematical algorithm uses the MathCad system with data export and analysis in Microsoft Excel. Collected over a month and the operation period in 2022–2023, data on electricity generation by solar stations characterised by an optimal constant angle of inclination of the solar panel and equipped with a solar tracking system were used. By taking into account the varying ambient temperature, dust content, and solar transmission by the solar panel coating, the given algorithm allowed electricity generation by a solar panel to be forecasted with an average absolute error ranging from 0.22 to 9.8. To determine solar insolation for a specific day and the geographical coordinates of the intended construction site of a solar power plant, a mathematical model was developed using MathCad software. The experimental and computational studies carried out on selected clear days, accounting for varying weather conditions, demonstrated the adequacy of this method and its applicability for forecasting electricity generation with different inclination angles of a solar panel. It was established that a solar power plant with a solar tracking system generated 37% more electricity per year than that with fixed solar panels. The ASHRAE Clear-Sky method for calculating solar insolation allows the amount of electricity generated for a specific region to be estimated with minimal input data. Further research will focus on defining and improving methods for forecasting electricity generation by a solar power plant on overcast days.
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采用双轴太阳能跟踪器的太阳能发电站的运行情况
本文采用 ASHRAE 晴空法计算太阳日照,评估了配备太阳能跟踪系统的太阳能发电厂的发电量。数学算法使用 MathCad 系统,数据导出和分析使用 Microsoft Excel。在 2022-2023 年的一个月和运行期间,我们收集了太阳能发电站的发电数据,这些数据的特点是太阳能电池板具有最佳恒定倾角,并配备了太阳能跟踪系统。考虑到不同的环境温度、灰尘含量和太阳能电池板涂层对太阳光的透射率,所给出的算法可以预测太阳能电池板的发电量,平均绝对误差在 0.22 到 9.8 之间。为了确定特定日期的太阳日照和太阳能发电站预定建设地点的地理坐标,使用 MathCad 软件开发了一个数学模型。根据不同的天气条件,对选定的晴天进行了实验和计算研究,结果表明,这种方法非常适合预测太阳能电池板不同倾角下的发电量。结果表明,采用太阳能跟踪系统的太阳能发电厂每年的发电量比采用固定太阳能电池板的发电厂高出 37%。ASHRAE Clear-Sky 太阳日照计算方法可以用最少的输入数据估算出特定地区的发电量。进一步的研究将侧重于确定和改进预测太阳能发电厂阴天发电量的方法。
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