首页> 外文期刊>The Madras Agricultural Journal >Thermal Performance Analysis and Prediction of Steam Production from Solar Paraboloid Concentrator using Multiple Linear Regression (MLR)
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Thermal Performance Analysis and Prediction of Steam Production from Solar Paraboloid Concentrator using Multiple Linear Regression (MLR)

机译:多种线性回归(MLR)太阳抛物面集中器蒸汽生产热性能分析及预测

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摘要

A study on performance evaluation and development of a model to predict the daily steam produced from solar paraboloid concentrator has been carried out. Dual-axis point-focus solar paraboloid concentrators of four numbers with cavity receivers were installed for steam production and the steam produced was used for cooking applications in Tamil Nadu Agricultural University. Convection losses were the significant losses when compared conduction and convection losses resulting in 24.5% thermal efficiency of the system. Multiple linear regression (MLR) was used to predict the linear relationship between variables. MLR predicted the steam production with 0.63 R2. Among the input variables used, solar radiation was the only parameter that had significanteffect on daily steam production.
机译:研究了模型的性能评估和开发,以预测太阳抛物面集中器生产的日常蒸汽。 使用腔接收器的四个数字的双轴点聚焦太阳能抛物面集中器用于蒸汽生产,并将生产的蒸汽用于泰米尔纳德邦农业大学烹饪应用。 对流损失是在传导和对流损失的情况下进行的显着损失,导致系统的24.5%的热效率。 多个线性回归(MLR)用于预测变量之间的线性关系。 MLR预测蒸汽生产0.63 r2。 在使用的输入变量中,太阳辐射是在日常蒸汽生产上具有明显的参数。

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