Indoor validation of a multiwavelength measurement approach to estimate soiling losses in photovoltaic modules

被引:5
作者
Fernandez-Solas, Alvaro [1 ]
Micheli, Leonardo [1 ,2 ]
Almonacid, Florencia [1 ]
Fernandez, Eduardo F. [1 ]
机构
[1] Univ Jaen UJA, CEACTEMA, Adv Photovolta Technol AdPVTech, Las Lagunillas Campus, Jaen 23071, Spain
[2] Sapienza Univ Rome, Dept Astronaut Elect & Energy Engn DIAEE, I-00184 Rome, Italy
关键词
Photovoltaic; Modeling; Soiling; Sensor; Spectral transmittance; PERFORMANCE; ENERGY;
D O I
10.1016/j.solener.2022.06.036
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Soiling is a factor that impacts the performance of photovoltaic (PV) modules. Nowadays, the research related to PV soiling monitoring is focused on optical sensors, which estimate the soiling loss through a monochromatic transmittance or reflectance measurement. However, these typically neglect the spectral profile of soiling transmittance, which tends to absorb shorter wavelengths more than the longer ones. This leads to a spectral red shift of the light that is transmitted to the PV cells of a module. Therefore, if the spectral component of soiling is not considered, the estimated soiling losses are not fully representative of those occurring in the real PV modules. This investigation aims to address this issue by modeling the full soiling transmittance spectrum using several monochromatic light sources in a new version of a previously presented optical soiling sensor, called "DUSST ". Four different combinations of mono-wavelength light-emitting diodes have been used to model the full spectral transmittance profile of artificially soiled PV glass coupons and to estimate the electrical losses of distinct PV technologies. The results show that the errors in soiling estimation can be minimized by using an appropriate wavelength combination. The difference between the measured and the estimated soiling losses can be lower than 3% if the most convenient wavelength combination is utilized. In the case of m-Si, which is the prevalent PV technology nowadays, the application of the optimum wavelength combination is found to reduce the maximum measurement error to 2.6%, from the initial 7.7% returned when a single wavelength was employed.
引用
收藏
页码:584 / 591
页数:8
相关论文
共 44 条
  • [1] The 2020 UV emitter roadmap
    Amano, Hiroshi
    Collazo, Ramon
    Santi, Carlo De
    Einfeldt, Sven
    Funato, Mitsuru
    Glaab, Johannes
    Hagedorn, Sylvia
    Hirano, Akira
    Hirayama, Hideki
    Ishii, Ryota
    Kashima, Yukio
    Kawakami, Yoichi
    Kirste, Ronny
    Kneissl, Michael
    Martin, Robert
    Mehnke, Frank
    Meneghini, Matteo
    Ougazzaden, Abdallah
    Parbrook, Peter J.
    Rajan, Siddharth
    Reddy, Pramod
    Roemer, Friedhard
    Ruschel, Jan
    Sarkar, Biplab
    Scholz, Ferdinand
    Schowalter, Leo J.
    Shields, Philip
    Sitar, Zlatko
    Sulmoni, Luca
    Wang, Tao
    Wernicke, Tim
    Weyers, Markus
    Witzigmann, Bernd
    Wu, Yuh-Renn
    Wunderer, Thomas
    Zhang, Yuewei
    [J]. JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2020, 53 (50)
  • [2] Angstrom A., 1929, GEOGR ANN, V11, P156, DOI [DOI 10.2307/519399, 10.1080/20014422.1929.11880498, DOI 10.1080/20014422.1929.11880498, 10.2307/519399.]
  • [3] Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies
    Bessa, Joao Gabriel
    Micheli, Leonardo
    Almonacid, Florencia
    Fernandez, Eduardo F.
    [J]. ISCIENCE, 2021, 24 (03)
  • [4] Pattern Effects of Soil on Photovoltaic Surfaces
    Burton, Patrick D.
    Hendrickson, Alex
    Ulibarri, Stephen Seth
    Riley, Daniel
    Boyson, William E.
    King, Bruce H.
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2016, 6 (04): : 976 - 980
  • [5] Predicting the spectral effects of soils on high concentrating photovoltaic systems
    Burton, Patrick D.
    King, Bruce H.
    Riley, Daniel
    [J]. SOLAR ENERGY, 2015, 112 : 469 - 474
  • [6] Spectral Sensitivity of Simulated Photovoltaic Module Soiling for a Variety of Synthesized Soil Types
    Burton, Patrick D.
    King, Bruce H.
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2014, 4 (03): : 890 - 898
  • [7] Soiling on PV performance influenced by weather parameters in Northern Nigeria
    Chanchangi, Yusuf N.
    Ghosh, Aritra
    Baig, Hasan
    Sundaram, Senthilarasu
    Mallick, Tapas K.
    [J]. RENEWABLE ENERGY, 2021, 180 : 874 - 892
  • [8] Solar energy dust and soiling R & D progress: Literature review update for 2016
    Costa, Suellen C. S.
    Diniz, Antonia Sonia A. C.
    Kazmerski, Lawrence L.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 : 2504 - 2536
  • [9] Quantifying Soiling Loss Directly From PV Yield
    Deceglie, Michael G.
    Micheli, Leonardo
    Muller, Matthew
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2018, 8 (02): : 547 - 551
  • [10] Evaluation of Soiling and Potential Mitigation Approaches on Photovoltaic Glass
    Einhorn, Asher
    Micheli, Leonardo
    Miller, David C.
    Simpson, Lin J.
    Moutinho, Helio R.
    To, Bobby
    Lanaghan, Clare L.
    Muller, Matthew T.
    Toth, Sarah
    John, Jim J.
    Warade, Sonali
    Kottantharayil, Anil
    Engtrakul, Chaiwat
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2019, 9 (01): : 233 - 239