该文通过数学建模研究雾霾相对湿度和质量浓度对辐照度的影响规律,并通过实验验证雾霾的相对湿度和质量浓度对辐照度和光伏组件输出功率的影响规律。实验结果表明：雾的相对湿度（RH）从23%上升至90%,辐照度下降52.17%,光伏组件输出功率下降46.5%,在相对湿度达到65%之后辐照度和功率下降幅度加快;霾质量浓度从18 µg/m3增加至517 µg/m3,RH=30%、50%、60%、75%、80%、90%时辐照度分别下降16.0%、25.0%、40.0%、74.4%、73.1%、68.6%,光伏组件输出功率分别下降21.8%、22.5%、35%、69.9%、70.1%、67.7%;RH从30%增加至90%,霾质量浓度为108、189、312、405、497 µg/m3时辐照度分别下降60.0%、78.8%、800.%、85.1%、85.8%,光伏组件输出功率分别下降47.4%、73.3%、78.1%、82.5%、84.9%,随着RH的增大辐照度和输出功率的降幅在逐渐增大。关于雾的相对湿度和雾霾质量浓度对辐照度的影响进行数值模拟,模拟结果和实验结果基本吻合,模拟和实验误差最小为0.1%,最大为10.7%。
Abstract
In this paper, the influence of relative humidity and mass concentration of haze on irradiance and output power of photovoltaic modules is studied by mathematical modeling, and the influence law is verified by experiments. The experimental results show that the relative humidity of fog increases from 23% to 90%, the irradiance decreases by 52.17%, and the output power of photovoltaic module decreases by 46.5%. When RH （relative humidity） is more than 65%, the irradiance and power dedine are.When the haze mass concentration increases from 18 μg/m3 to 517 μg/m3,when RH=30%,50%,60%,75%,80% and 90%, the irradiance decreases by 16%,25%,40%,74.4%,73.1% and 68.6%, respectively. The output power of photovoltaic modules decreases by 21.8%, 22.5%, 35%, 69.9%, 70.1% and 67.7%, respectively. When the haze concentration is 108, 189, 312, 405 μg/m3 and 497 μg/m3, RH increases from 30% to 90%, the irradiance decreases by 60%, 78.8%, 80%, 85.1% and 85.8%, respectively. The output power of photovoltaic modules decreased by 47.4%, 73.3%, 78.1%, 82.5% and 84.9%, respectively. The irradiance and output power decrease gradually with the increase of RH. The effects of relative humidity and haze concentration on irradiance are numerically simulated. The simulation results are basically consistent with the experimental results. The minimum error between simulation and experiment is 0.1%, and the maximum error is 10.7%.
关键词
光伏组件 /
雾霾 /
输出特性 /
相对湿度 /
霾质量浓度
Key words
photovoltaic modules /
haze /
output characteristic /
relative humidity /
haze mass concentration
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 柴艺淳. 大气气溶胶和气象条件对京津冀地区区域性雾霾的影响[D]. 青岛: 中国海洋大学, 2015.
CHAI Y C.Effects of atmospheric aerosol and meteorological conditions on regional haze in Beijing-Tianjin-Hebei region[D]. Qingdao: Ocean University of China, 2015.
[2] 刘馨语. 四川盆地雾霾特征及光学特征[D]. 成都: 成都信息工程大学, 2018.
LIU X Y.Haze and optical characteristics in sichuan basin[D]. Chengdu: Chengdu University of Information Engineering, 2018.
[3] NOBRE A M, KARTHIK S, LIU H H, et al.On the impact of haze on the yield of photovoltaic systems in singapore[J]. Renewable energy, 2016, 89: 389-400.
[4] RAHIM N A, MOHAMMED M F, EID B M, et al.Assessment of effect of haze on photovoltaic systems in Malaysia due to open burning in Sumatra[J]. IET renewable power generation, 2017, 11(3): 299-304.
[5] 李松丽, 马潇, 裴雨清, 等. 上海地区雾霾天气对光伏组件日发电量的影响[J]. 环境试验, 2019, 37(6): 35-39.
LI S L, MA X, PEI Y Q, et al.Influence of haze weather on daily power generation of photovoltaic modules in Shanghai[J]. Environmental test, 2019, 37(6): 35-39.
[6] 陈晓波, 陈剑波, 孙坤, 等. 光伏雾霾指数及其实验研究[J]. 建筑节能, 2018, 46(5): 10-24.
CHEN X B, CHEN J B, SUN K, et al.Photovoltaic haze index and its experimental study[J]. Building energy saving, 2018, 46(5):10-24.
[7] 任静, 陈涛, 许志, 等. 雾霾影响光伏发电量的机制分析与实验[J]. 实验室研究与探索, 2019, 38(9): 42-51.
REN J, CHEN T, XU Z, et al.Mechanism analysis and experiment of haze affecting photovoltaic power generation[J]. Laboratory research and exploration, 2019, 38(9):42-51.
[8] 连魏魏. 基于天气条件划分的光伏功率预测方法[D]. 北京: 华北电力大学, 2019.
LIAN W W.Forecasting method of photovoltaic power based on weather conditions[D]. Beijing: North China Electric Power University, 2019.
[9] 李英姿, 曾万昕, 李智, 等. 北京地区雾霾对光伏发电量影响的灰色关联度分析[J]. 电器与能效管理技术, 2018(14): 56-62.
LI Y Z, ZENG W X, LI Z, et al.Grey relation degree analysis of the influence of haze on photovoltaic power generation in Beijing[J]. Electrical and energy efficiency management technology, 2018(14): 56-62.
[10] 王建辉, 赵悦菊, 孙伟, 等. 人工模拟雾霾实验及其装置[J]. 环境工程学报, 2017, 11(9): 5130-5137.
WANG J H, ZHAO Y J, SUN W, et al.Experiment and its device for artificial simulated fog-haze enviroment[J]. Chinese journal of environmental engineering, 2017, 11(9): 5130-5137.
[11] 周羽生, 罗屿, 赵纯, 等. 人工气候室雾霾模拟方法及装置[J]. 高电压技术, 2017, 43(3): 909-914.
ZHOU Y S, LUO Y, ZHAO C, et al.Haze-fog simulation method and device in the artificial climate chamber[J]. High voltage technology, 2017, 43(3): 909-914.
[12] 王黎明, 刘动, 陈枫林, 等. 霾模拟方法及其装置研究[J]. 高电压技术, 2014, 40(11): 3297-3304.
WANG L M, LIU D, CHEN F L, et al.Simulation method and testing apparatus of fog-haze[J]. High voltage technology, 2014, 40(11): 3297-3304.
[13] 代海婷, 刘建国, 陆亦怀, 等. 广州亚运会及残运会期间大气细粒子谱特征分析[J]. 大气与环境光学学报,2012, 7(1): 24-30.
DAI H T, LIU J G, LU Y H, et al.Characteristic of aerosol particle size distribntion during Guangzhou Asian Games and Paralympic Games[J]. Journal of atmospheric and environmental optics, 2012, 7(1): 24-30.
基金
国家自然科学基金（51466011）; 内蒙古科技计划院区科技合作及引智项目（2020CG0066）; 内蒙古自然科学基金（2019LH05033）
PDF(2107 KB)
