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Comparative Analysis of All-Sky Luminous Efficacy Models Based on Calculated and Measured Solar Radiation Data of Four Worldwide Cities

机译:基于世界四大城市太阳辐射实测数据的全天候发光效率模型比较分析

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Luminous efficacy model uses solar radiation data to generate illuminance data, and its performance also depends on the quality of solar radiation data. Various luminous efficacy models are reviewed and evaluated to select a universal luminous efficacy model. Since most luminous efficacy models are fitted with specific local climate characteristics, the model that has the least locality as well as accuracy is a mandatory requirement. Three representative luminous efficacy models are selected and evaluated with measured solar radiation and illuminance data from four worldwide cities. It was found that all the evaluated models provide good predictions (over 0.96 value) for both global and diffuse illuminance. Among them, the Perez luminous efficacy model shows the highest performance in terms of accuracy and bias. However, illuminance data prediction based on estimated solar radiation data is more common practice rather than those from measured solar data. The performance of the selected luminous efficacy models is evaluated when recently proposed universal solar radiation model supplies predicted solar radiation data. The result indicates that the quality of estimated solar radiation data has a much deeper impact on the performance of the luminous efficacy model. Within the current limited technology and measured data resource, the consecutive processing of the modified Zhang and Huang solar model and Perez luminous efficacy model could provide the best option to predict both global and diffuse solar radiation and illuminance. But, users of the model-based illuminance data should interpret their simulation results with the error (30%~40% in RMSE and ±6% in MBE) in predicting global and diffuse illuminance.
机译:发光效率模型使用太阳辐射数据生成照度数据,其性能还取决于太阳辐射数据的质量。审查和评估各种发光功效模型以选择通用发光功效模型。由于大多数发光功效模型都具有特定的局部气候特征,因此具有最小局部性和准确性的模型是强制性要求。选择了三个代表性的发光效率模型,并使用来自四个全球城市的实测太阳辐射和照度数据进行了评估。结果发现,所有评估模型都为整体照度和漫射照度提供了良好的预测(超过0.96的值)。其中,Perez发光功效模型在准确性和偏差方面表现出最高的性能。然而,基于估算的太阳辐射数据的照度数据预测比基于测得的太阳数据的照度数据预测更为普遍。当最近提出的通用太阳辐射模型提供预测的太阳辐射数据时,将评估所选发光功效模型的性能。结果表明,估计的太阳辐射数据的质量对发光功效模型的性能具有更深远的影响。在当前有限的技术和实测数据资源范围内,对经修改的Zhang and Huang太阳模型和Perez发光功效模型的连续处理可以提供预测全局和散布太阳辐射和照度的最佳选择。但是,基于模型的照度数据的用户在预测整体照度和漫反射照度时应以误差(RMSE为30%〜40%,MBE为±6%)来解释其模拟结果。

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