Distribution of atmospheric transmittance and its influencing factors in tower solar thermal power stations in China
摘要
The distance between heliostats and heat receivers in a tower solar thermal power plant ranges from 200 m to 2000 m. The attenuation of direct normal irradiance (DNI) during its reflection from heliostats to heat receivers should not be neglected. In this study, the atmospheric transmittance (AT) is calculated in the whole China region by simulating DNI at the altitude of heliostats and heat receivers in the Simple Model of the Atmospheric Radiative Transfer of Sunshine model based on the observations of visibility, temperature and relative humidity from the 167 meteorological stations in China. Results indicate that the spatial distribution of AT in China is uneven. When the straight-line distance between a heliostat and a heat receiver is 1000 m, the AT climatology is 0.7–0.9. In regions such as northern Northeast China, Inner Mongolia, Tibetan Plateau, western Sichuan Province and Yunnan Province, the influence of AT (usually larger than 0.85 in these areas) on solar thermal power is relatively small. However, the Tarim Basin and areas east of Sichuan, in central and eastern China, are greatly affected by AT. Overall, AT increases with altitude. There are obvious diurnal and seasonal variations in AT, i.e., AT is higher in the morning and lower in the early morning and evening over most regions. In Xinjiang, the highest AT appears in the afternoon. The AT is the highest in summer, with relatively small spatial differences, while it is the lowest in winter and has large spatial differences. AT in spring and autumn is higher than that in summer and lower than that in winter, and the autumn AT is slightly higher than the spring AT. Regarding different underlying surface types, the AT increases with altitude. The most crucial meteorological factor affecting the AT is visibility. The higher the visibility, the higher the AT. There is a significant positive correlation between the AT and relative humidity in the Tarim Basin, Qinghai, central Gansu and central-western Tibet. In contrast, in other regions, the correlation is negative. The mechanisms of how relative humidity affects solar thermal power vary in different regions.