INFLUENCE OF WEATHER TYPES ON ADAPTABILITY OF HOURLY GLOBAL SOLAR RADIATION MODELS

Yu Ying; Guo Jiahao; Yao Xing; Yang Liu

doi:10.19912/j.0254-0096.tynxb.2021-0616

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (12) : 186-193. DOI: 10.19912/j.0254-0096.tynxb.2021-0616

INFLUENCE OF WEATHER TYPES ON ADAPTABILITY OF HOURLY GLOBAL SOLAR RADIATION MODELS

Yu Ying¹, Guo Jiahao¹, Yao Xing¹, Yang Liu²

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Abstract

This paper divides decomposition models into three categories according to input parameters, construction and characteristics. With the measured radiation data of Lhasa, Xi’an, and Shanghai in 2016, the adaptability of three types of models under three weather conditions of sunny, cloudy, and overcast days is compared and analyzed. Accuracy score（AS） is introduced as a standard to evaluate the model’s adaptability. The result shows that the weather condition significantly affects the adaptability of decomposition models,which decreases from sunny days to overcast days. When the weather is particularly sunny, models of category Ⅱ have a better adaptability than category Ⅰ and Ⅲ models. For other weather conditions, the C.P.R model from category Ⅰis the best. With the adaptive model, the error of hourly global radiation in three cities can be reduced by 3% on average, the percentage mean absolute error （PMAE）is between 20%-25%, and the percentage root mean square error （PRMSE）is between 26%-32%. In summary,using the weather adaptation model can effectively reduce errors and meet building energy-saving design requirements.

Key words

solar radiation / hourly global radiation / weather type / decomposition model / accuracy score

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Yu Ying, Guo Jiahao, Yao Xing, Yang Liu. INFLUENCE OF WEATHER TYPES ON ADAPTABILITY OF HOURLY GLOBAL SOLAR RADIATION MODELS[J]. Acta Energiae Solaris Sinica. 2022, 43(12): 186-193 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0616

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