Based on the hourly observations of surface temperature
air pressure
relative humidity
visibility
and other data from 170 meteorological stations in China from 2016 to 2023
the atmospheric transmittance under different distances between heliostats and receivers was calculated using the SMARTS model. A sensitivity experiment was conducted on typical representative stations. The average atmospheric transmittance under a distance of 1km between heliostats and receivers nationwide is generally between 70% and 90%. Regions with abundant solar energy resources
such as the Tibetan Plateau
northwest China
Inner Mongolia
and parts of northeast China
have higher atmospheric transmittance
exceeding 85%. After sunrise
the atmospheric transmittance at each representative station rapidly decreases and then gradually increases
with the lowest values appearing in the morning. Stations with lower visibility exhibit greater daily variations in atmospheric transmittance. Atmospheric transmittance is higher in the summer half-year and lower in the winter half-year. The sensitivity experiments indicate that atmospheric transmittance increases logarithmically with visibility. The impacts of other factors on atmospheric transmittance are also related to visibility. Lower visibility increases the sensitivity of atmospheric transmittance to changes in other factors. Atmospheric transmittance decreases with increasing relative humidity.
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references
丁怡婷. 太阳能发电装机突破6亿千瓦[N]. 人民日报, 2024. 2024-01-31.
张金平, 周强, 王定美, 等. 太阳能光热发电技术及其发展综述[J]. 综合智慧能源, 2023, 45(2): 44-52. ZHANG J P, ZHOU Q, WANG D M, et al. Review on solar thermal power generation technologies and their development[J]. Integrated intelligent energy, 2023, 45(2): 44-52.
QIAN Y, WANG W G, LEUNG L R, et al. Variability of solar radiation under cloud-free skies in China: the role of aerosols[J]. Geophysical research letters, 2007, 34(12): 2006GL028800.
PAPADIMAS C D, HATZIANASTASSIOU N, MATSOUKAS C, et al.The direct effect of aerosols on solar radiation over the broader Mediterranean basin[J]. Atmospheric chemistry and physics, 2012, 12(15): 7165-7185.
WANG K C, DICKINSON R E, WILD M, et al.Atmospheric impacts on climatic variability of surface incident solar radiation[J]. Atmospheric chemistry and physics, 2012, 12(20): 9581-9592.
BALLESTRÍN J, MARZO A. Solar radiation attenuation in solar tower plants[J]. Solar energy, 2012, 86(1): 388-392.
BALLESTRÍN J, MONTERREAL R, CARRA M E, et al. Measurement of solar extinction in tower plants with digital cameras[C]//Solarpaces 2015: International Conference on Concentrating Solar Power and Chemical Energy Systems. Cape Town, South Africa, 2016: 130002.
BALLESTRÍN J, MONTERREAL R, CARRA M E, et al. Solar extinction measurement system based on digital cameras. Application to solar tower plants[J]. Renewable energy, 2018, 125: 648-654.
ELIAS T, RAMON D, GARNERO M A, et al.Solar energy incident at the receiver of a solar tower plant, derived from remote sensing: computation of both DNI and slant path transmittance[C]//Solarpaces 2016: International Conference on Concentrating Solar Power and Chemical Energy Systems.Abu Dhabi, United Arab Emirates, 2017: 140005.
GUEYMARD C A, LÓPEZ G, RAPP-ARRARÁS I. Atmospheric transmission loss in mirror-to-tower slant ranges due to water vapor[C]//Solarpaces 2016: International Conference on Concentrating Solar Power and Chemical Energy Systems. Abu Dhabi, United Arab Emirates, 2017: 140010.
HANRIEDER N, GHENNIOUI A, ALAMI MERROUNI A, et al.Atmospheric transmittance model validation for CSP tower plants[J]. Remote sensing, 2019, 11(9): 1083.
SHEN Y B, JIA B X, WANG C H, et al.Numerical simulation of atmospheric transmittance between heliostats and heat receiver in Tower-Type solar thermal power station[J]. Solar energy, 2023, 265: 112107.
FENG L, LIU Y X, FENG Z Z, et al.Analysing the spatiotemporal characteristics of climate comfort in China based on 2005—2018 MODIS data[J]. Theoretical and applied climatology, 2021, 143(3): 1235-1249.
NIU Z G, WANG L C, FANG L L, et al.Spatiotemporal variations in monthly relative humidity in China based on observations and CMIP5 models[J]. International journal of climatology, 2020, 40(15): 6382-6395.
GUO B, WANG Y Q, ZHANG X Y, et al.Temporal and spatial variations of haze and fog and the characteristics of PM2.5 during heavy pollution episodes in China from 2013 to 2018[J]. Atmospheric pollution research, 2020, 11(10): 1847-1856.
WU C L, LIN Z H, SHAO Y P, et al.Drivers of recent decline in dust activity over East Asia[J]. Nature communications, 2022, 13: 7105.
GUEYMARD C A.SMARTS, A simple model of the atmospheric radiative transfer of sunshine: algorithms and performance assessment[R]. Cocoa, FL: Florida: Florida solar energy center,1995.