EN影响大气透射率关键气象因素模拟研究
影响大气透射率关键气象因素模拟研究
- 太阳能学报 2025年46卷第12期 页码：378-384
- 作者机构：
- 作者简介：
- 基金信息：北京市自然科学基金（8244076）;国家自然科学基金（42075188）;中国气象服务协会气象科技创新平台项目（CMSA2024MB011）;新疆“天池英才”引进计划（2023）
DOI：doi:10.19912/j.0254-0096.tynxb.2024-1312
中图分类号： P422-
网络出版：2026-01-07，
纸质出版：2025
- 稿件说明：
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王传辉, 申彦波, 贾蓓西, 等. 影响大气透射率关键气象因素模拟研究[J]. 太阳能学报, 2025,46(12):378-384.
王传辉, 申彦波, 贾蓓西, et al. 影响大气透射率关键气象因素模拟研究[J]. 2025, 46(12): 378-384.
王传辉, 申彦波, 贾蓓西, 等. 影响大气透射率关键气象因素模拟研究[J]. 太阳能学报, 2025,46(12):378-384. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1312.
王传辉, 申彦波, 贾蓓西, et al. 影响大气透射率关键气象因素模拟研究[J]. 2025, 46(12): 378-384. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1312.
摘要
基于2016—2023年中国170个气象站逐小时气温、气压、相对湿度、能见度等观测数据
通过SMARTS模式计算定日镜到吸热器间距内大气透射率（AT）
选取代表站进行能见度和相对湿度敏感性实验
结果表明：全国定日镜到吸热器1 km距离内平均AT基本处于70%~90%
太阳能资源丰富的青藏高原、西北地区、内蒙古以及东北部分地区的AT较高
在85%以上;各代表站日出之后AT迅速下降
随后缓慢升高
最低值普遍出现在上午
气候平均能见度越低的站点AT日变化幅度越大;AT季节变化明显
夏半年高、冬半年低。敏感性实验结果表明
AT随能见度的增加呈对数函数曲线增长;除能见度之外
其他要素对AT的影响也与能见度有关
能见度越低
AT对其他因素变化越敏感;AT随相对湿度的增加而减小。
Abstract
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.
徐丽娜, 申彦波, 胡玥明, 等. 基于随机森林算法的FY-4A地表入射太阳辐射空间订正[J]. 太阳能学报, 2024, 45(1): 109-115.
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.
刘兴冉, 张宏晔, 闫海明, 等. 区域复杂地形晴日太阳辐射估算研究[J]. 太阳能学报, 2022, 43(8): 174-180.
丁雪倩, 张淑花, 金存银. 复杂地形区晴空太阳辐射模型构建与应用[J]. 太阳能学报, 2024, 45(4): 569-577.
宋艳华, 马金辉, 刘峰. 基于GIS的中国气温空间分布与分区初探[J]. 干旱区资源与环境, 2006, 20(4): 16-21.
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.
赵煜飞, 朱亚妮. 中国地面均一化相对湿度月值格点数据集的建立[J]. 气象, 2017, 43(3): 333-340.
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.
王威, 王喜全, 王自发, 等. 中国能见度长期变化及区域特征分析[J]. 大气与环境光学学报, 2016, 11(4): 249.
王传辉, 申彦波, 姚锦烽, 等. 3种再分析资料在太阳能资源评估中的适用性[J]. 太阳能学报, 2022, 43(8): 164-173.
马禹, 王旭, 黄镇, 等. 新疆沙尘天气的演化特征及影响因子[J]. 干旱区地理, 2006, 29(2): 178-185.
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.
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