Study on the influence of fog and haze on solar radiation based on scattering-weakening effect

Abstract In the existing literature, there are many studies focused on the scattering-weakening effect of different atmospheric constituents (gas, aerosols, liquid particles, etc.) on solar radiation, but few quantitative studies on the scattering-weakening effect of solar radiation by fog and haze. In this paper, the scattering-weakening effect of fog and haze on daily global solar radiation is investigated based on principal component analysis (PCA). First, the influence of different fog and haze levels on daily global solar radiation is analyzed. For example, in Tianjin, China, the average weakening degree is as follows: they are 18.66%, 26.37%, 37.32%, and 45.58% in light, moderate, heavy, and serious pollution respectively. Second, 7 types of global solar radiation weakening models (GSRW models) based on air quality index (AQI) are proposed. The measured data indicates solar radiation is gradually weakened with the increase of AQI, but the weakening speed gradually slows down. Besides, GSRW models are applied to six Chinese regions with fog and haze, and the results show that these models have good applicability (the average R value is 0.730, RMSE is 0.059 and MAPE is 9.430), especially for heavy air pollution regions.

[1]  O. Behar,et al.  Comparison of solar radiation models and their validation under Algerian climate - The case of direct irradiance , 2015 .

[2]  Chunxiang Yang,et al.  An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data , 2015, IEEE Transactions on Sustainable Energy.

[3]  Xiaofan Zeng,et al.  Solar radiation estimation using sunshine hour and air pollution index in China , 2013 .

[4]  Zhang Chunxiao,et al.  The research of new daily diffuse solar radiation models modified by air quality index (AQI) in the region with heavy fog and haze , 2017 .

[5]  Jyhfu Lee,et al.  Ni-Nanocluster Modified Black TiO2 with Dual Active Sites for Selective Photocatalytic CO2 Reduction. , 2018, Small.

[6]  L. Alados-Arboledas,et al.  Estimating aerosol characteristics from solar irradiance measurements at an urban location in southeastern Spain , 2014 .

[7]  Pengrui Du,et al.  Seasonal variation characteristic of inhalable microbial communities in PM2.5 in Beijing city, China. , 2018, The Science of the total environment.

[8]  Chanchal Kumar Pandey,et al.  A comparative study to estimate daily diffuse solar radiation over India , 2009 .

[9]  Nadir Ahmed Elagib,et al.  Correlationships between clearness index and relative sunshine duration for Sudan , 1999 .

[10]  H. Kabir,et al.  Solar selective performance of metal nitride/oxynitride based magnetron sputtered thin film coatings: a comprehensive review , 2018 .

[11]  Xianli Li,et al.  A support vector machine approach to estimate global solar radiation with the influence of fog and haze , 2018, Renewable Energy.

[12]  Jyotirmay Mathur,et al.  Energy and exergy analyses of various typical solar energy applications: A comprehensive review , 2018 .

[13]  Martin A. Montes,et al.  Optical properties of size and chemical fractions of suspendedparticulate matter in littoral waters of Quebec , 2017 .

[14]  Lifeng Wu,et al.  New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China , 2018 .

[15]  M. Valipour Importance of solar radiation, temperature, relative humidity, and wind speed for calculation of reference evapotranspiration , 2015 .

[16]  J. Chen,et al.  Source apportionment of PM 2.5 pollution in the central six districts of Beijing, China , 2018 .

[17]  Ling-ling Ma,et al.  Chlorine levels and species in fine and size resolved atmospheric particles by X-ray absorption near-edge structure spectroscopy analysis in Beijing, China. , 2018, Chemosphere.

[18]  Saeed-Reza Sabbagh-Yazdi,et al.  Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data , 2017 .

[19]  Chen Liu,et al.  The magnitude of the effect of air pollution on sunshine hours in China , 2012 .

[20]  Lunche Wang,et al.  Innovative trend analysis of solar radiation in China during 1962–2015 , 2018 .

[21]  Yunbo Shi,et al.  Dust-concentration measurement based on Mie scattering of a laser beam , 2017, PloS one.

[22]  Yusheng Wu,et al.  New insight into PM2.5 pollution patterns in Beijing based on one-year measurement of chemical compositions. , 2018, The Science of the total environment.

[23]  Varun,et al.  A thermodynamic review of solar air heaters , 2015 .

[24]  X. Wang,et al.  A new correlation between global solar radiation and the quality of sunshine duration in China , 2018 .

[25]  Marija Zlata Boznar,et al.  Modeling hourly diffuse solar-radiation in the city of São Paulo using a neural-network technique , 2004 .

[26]  Milan Despotovic,et al.  Review and statistical analysis of different global solar radiation sunshine models , 2015 .

[27]  J. Zhu,et al.  Column-integrated aerosol optical properties of coarse- and fine-mode particles over the Pearl River Delta region in China. , 2018, The Science of the total environment.

[28]  Samy A. Khalil,et al.  Attenuation of the solar energy by aerosol particles: A review and case study , 2016 .

[29]  Ki-Hyun Kim,et al.  Solar energy: Potential and future prospects , 2018 .

[30]  Ramakrishna Balijepalli,et al.  Performance parameter evaluation, materials selection, solar radiation with energy losses, energy storage and turbine design procedure for a pilot scale solar updraft tower , 2017 .

[31]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[32]  Zhihong He,et al.  All-metal frequency-selective absorber/emitter for laser stealth and infrared stealth. , 2018, Applied optics.