Quality control of diffuse solar radiation component with satellite-based estimation methods

被引:22
|
作者
Rusen, Selmin Ener [1 ]
Konuralp, Aycan [2 ]
机构
[1] Karamanoglu Mehmetbey Univ, Acad Energy Res Grp AKEN, Dept Energy Syst Engn, Karaman, Turkey
[2] Karamanoglu Mehmetbey Univ, Dept Adv Technol, Karaman, Turkey
关键词
Solar energy; Global and diffuse radiation; Satellite; Turkey; HELIOSAT method; IRRADIATION; AEROSOLS; SURFACE; MODELS; REGION;
D O I
10.1016/j.renene.2019.07.085
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to analyze solar systems, it is very important to determine the accurate solar radiation components belonging to any region. These components are defined as the beam and diffuse. The diffuse radiation component may not always be determined accurately since it is mostly affected by many geographical factors and climatic features in addition to the location parameters. Therefore, this work aims to compare and evaluate the validity of global and diffuse estimation methods for nine locations in Turkey. The satellite-based estimation methods (HELIOSAT, Meteonom, and PVGIS) mentioned in the literature were used to estimate global and diffuse radiation. These selected methods were statistically tested with accurate ground measured data. For HELIOSAT, the global radiation is varying -0.02 and 0.03, and 0.010 and 0.035, respectively, Relative MBE and Relative RMSE. Similarly, the diffuse radiation values are -0.020 and 0.025 for Relative MBE, and 0.015 and 0.030 for Relative RMSE. The goodness of the fit values for the HELIOSAT method shows a very good agreement with at least 97% confidence level of global and 91% of diffuse radiation values. Thus, HELIOSAT method shows a trustworthy alternative to the ground measurement data when reliable global and diffuse radiation data are not available. (c) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1772 / 1779
页数:8
相关论文
共 50 条
  • [1] Quality control of global solar radiation data with satellite-based products
    Urraca, Ruben
    Gracia-Amillo, Ana M.
    Huld, Thomas
    Javier Martinez-de-Pison, Francisco
    Trentmann, Joerg
    Lindfors, Anders V.
    Riihela, Aku
    Sanz-Garcia, Andres
    SOLAR ENERGY, 2017, 158 : 49 - 62
  • [2] Estimating Global, Diffuse Solar Radiation for Chhor and Validation with Satellite-Based Data
    Asif Ali Abbasi
    M. Shahid Qureshi
    Arabian Journal for Science and Engineering, 2014, 39 : 175 - 179
  • [3] Estimating Global, Diffuse Solar Radiation for Chhor and Validation with Satellite-Based Data
    Abbasi, Asif Ali
    Qureshi, M. Shahid
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (01) : 175 - 179
  • [4] Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production
    Xin, Qinchuan
    Gong, Peng
    Suyker, Andrew E.
    Si, Yali
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 50 : 51 - 63
  • [5] Sensitivity of satellite-based methods for deriving solar radiation to different choice of aerosol input and models
    Polo, J.
    Antonanzas-Torres, F.
    Vindel, J. M.
    Ramirez, L.
    RENEWABLE ENERGY, 2014, 68 : 785 - 792
  • [6] Satellite-based trends of solar radiation and cloud parameters in Europe
    Pfeifroth, Uwe
    Bojanowski, Jedrzej S.
    Clerbaux, Nicolas
    Manara, Veronica
    Sanchez-Lorenzo, Arturo
    Trentmann, Joerg
    Walawender, Jakub P.
    Hollmann, Rainer
    ADVANCES IN SCIENCE AND RESEARCH, 2018, 15 : 31 - 37
  • [7] High-spatiotemporal-resolution estimation of solar energy component in the United States using a new satellite-based model
    Chen, Jiang
    Zhu, Weining
    Yu, Qian
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 302
  • [8] A Satellite-based Remote Sensing Technique for Surface Water Quality Estimation
    Japitana, Michelle V.
    Burce, Marlowe Edgar C.
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (02) : 3965 - 3970
  • [9] Satellite-based train control
    Schnieder, E
    Bikker, G
    Schroeder, M
    COMPUTERS IN RAILWAYS VII, 2000, 7 : 3 - 9
  • [10] Estimation of soil salinity using satellite-based variables and machine learning methods
    Wang, Wanli
    Sun, Jinguang
    EARTH SCIENCE INFORMATICS, 2024, 17 (06) : 5049 - 5061