10.1007/s40095-020-00344-2

Numerical investigation of soiling of multi-row rooftop solar PV arrays

  • Kudzanayi Chiteka*1,
  • Rajesh Arora1,
  • S. N. Sridhara1,
  • C. C. Enweremadu2,
  1. Department of Mechanical Engineering, Amity University Haryana, Gurgaon, 122413, IN
  2. Department of Mechanical and Industrial Engineering, University of South Africa, Florida, ZA

Published in Issue 2020-04-28

How to Cite

Chiteka, K., Arora, R., Sridhara, S. N., & Enweremadu, C. C. (2020). Numerical investigation of soiling of multi-row rooftop solar PV arrays. International Journal of Energy and Environmental Engineering, 11(4 (December 2020). https://doi.org/10.1007/s40095-020-00344-2
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Abstract

Abstract The soiling behaviour of multiple solar PV arrays on multi-storey building rooftop was explored using Computational Fluid Dynamics (CFD). The CFD simulation study employed the SST k – ω turbulence model together with the discrete phase model. A grid independency analysis was done to determine the mesh size that is adequate for the simulation study. Three main parameters were investigated in this study on five rows of solar PV arrays and these were wind speed, dust particle size and tilt angle. Airflow characteristics on the solar PV arrays were evaluated and analysed on their influence on soiling. The study revealed that the PV arrays located at the front experience less soiling compared to those located at the rear although there was a small difference of 0.16% in the soiling rate. An average soiling rate of 15.77% was experienced on all the five PV arrays used in the simulation studies. The overall percentage soiling from the front row to the last row was found to be, respectively, 15.85%, 15.82%, 15.77%, 15.74% and 15.69%. A predictive model was developed and had a coefficient of determination, R 2 of 96.82% which could accurately predict overall soiling on the PV arrays.

Keywords

  • Solar PV arrays,
  • Soiling,
  • Modelling and simulation,
  • Installation configuration,
  • Soiling variables

References

  1. Lu and Zhang (2019) Influences of dust deposition on ground-mounted solar photovoltaic arrays: a CFD simulation study (pp. 21-31) https://doi.org/10.1016/j.renene.2018.11.096
  2. Connolly et al. (2010) A review of computer tools for analysing the integration of renewable energy into various energy systems (pp. 1059-1082) https://doi.org/10.1016/j.apenergy.2009.09.026
  3. Sarver et al. (2013) A comprehensive review of the impact of dust on the use of solar energy: history, investigations, results, literature, and mitigation approaches (pp. 698-733) https://doi.org/10.1016/j.rser.2012.12.065
  4. Sayyah et al. (2014) Energy yield loss caused by dust deposition on photovoltaic panels (pp. 576-604) https://doi.org/10.1016/j.solener.2014.05.030
  5. Herrmann et al. (2014) Modeling the soiling of glazing materials in arid regions with geographic information systems (GIS) (pp. 715-720) https://doi.org/10.1016/j.egypro.2014.02.083
  6. El-Nashar (1994) The effect of dust accumulation on the performance of evacuated tube collectors (pp. 105-115) https://doi.org/10.1016/S0038-092X(94)90610-6
  7. Ullah et al. (2019) Investigation of optimal tilt angles and effects of soiling on PV energy production in Pakistan (pp. 830-843) https://doi.org/10.1016/j.renene.2019.02.114
  8. Urrejola et al. (2016) Effect of soiling and sunlight exposure on the performance ratio of photovoltaic technologies in Santiago, Chile (pp. 338-347) https://doi.org/10.1016/j.enconman.2016.02.016
  9. Tanesab (2015) The contribution of dust to performance degradation of PV modules in a temperate climate zone (pp. 147-157) https://doi.org/10.1016/j.solener.2015.06.052
  10. Appels et al. (2013) Effect of soiling on photovoltaic modules (pp. 283-291) https://doi.org/10.1016/j.solener.2013.07.017
  11. Paudyal and Shakya (2016) Dust accumulation effects on efficiency of solar PV modules for off grid purpose: a case study of Kathmandu (pp. 103-110) https://doi.org/10.1016/j.solener.2016.05.046
  12. Gholami et al. (2018) Experimental investigation of dust deposition effects on photo-voltaic output performance (pp. 346-352) https://doi.org/10.1016/j.solener.2017.11.010
  13. Guan et al. (2017) In-situ investigation of the effect of dust deposition on the performance of polycrystalline silicon photovoltaic modules (pp. 1273-1284) https://doi.org/10.1016/j.renene.2016.10.009
  14. Klugmann-Radziemska (2015) Degradation of electrical performance of a crystalline photovoltaic module due to dust deposition in northern Poland (pp. 418-426) https://doi.org/10.1016/j.renene.2015.01.018
  15. Kaldellis and Kapsali (2011) Simulating the dust effect on the energy performance of photovoltaic generators based on experimental measurements (pp. 5154-5161) https://doi.org/10.1016/j.energy.2011.06.018
  16. El-Shobokshy and Hussein (1993) Effect of dust with different physical properties on the performance of photovoltaic cells (pp. 505-511) https://doi.org/10.1016/0038-092X(93)90135-B
  17. Elminir et al. (2006) Effect of dust on the transparent cover of solar collectors (pp. 3192-3203) https://doi.org/10.1016/j.enconman.2006.02.014
  18. Jiang et al. (2011) Experimental investigation of the impact of airborne dust deposition on the performance of solar photovoltaic (PV) modules (pp. 4299-4304) https://doi.org/10.1016/j.atmosenv.2011.04.084
  19. Javed et al. (2017) Modeling of photovoltaic soiling loss as a function of environmental variables (pp. 397-407) https://doi.org/10.1016/j.solener.2017.08.046
  20. Besson et al. (2017) Long-term soiling analysis for three photovoltaic technologies in Santiago Region (pp. 1755-1760) https://doi.org/10.1109/JPHOTOV.2017.2751752
  21. Olivares et al. (2017) Characterization of soiling on PV modules in the Atacama Desert (pp. 547-553) https://doi.org/10.1016/j.egypro.2017.09.263
  22. Zaihidee et al. (2016) Dust as an unalterable deteriorative factor affecting PV panel’s efficiency: why and how (pp. 1267-1278) https://doi.org/10.1016/j.rser.2016.06.068
  23. Kohli et al. (2019) Chapter 10—Electrostatic removal and manipulation of small particles and surface cleaning applications (pp. 391-421) Elsevier https://doi.org/10.1016/B978-0-12-815577-6.00010-4
  24. Joshi et al. (2019) Super-hydrophilic broadband anti-reflective coating with high weather stability for solar and optical applications https://doi.org/10.1016/j.solmat.2019.110023
  25. Wang et al. (2018) Reducing the effect of dust deposition on the generating efficiency of solar PV modules by super-hydrophobic films (pp. 277-283) https://doi.org/10.1016/j.solener.2017.12.052
  26. Pan et al. (2019) Experimental investigation of dust deposition reduction on solar cell covering glass by different self-cleaning coatings (pp. 645-653) https://doi.org/10.1016/j.energy.2019.05.223
  27. Syafiq et al. (2018) Advances in approaches and methods for self-cleaning of solar photovoltaic panels (pp. 597-619) https://doi.org/10.1016/j.solener.2017.12.023
  28. Luque et al. (2018) Effect of soiling in bifacial PV modules and cleaning schedule optimization (pp. 615-625) https://doi.org/10.1016/j.enconman.2018.08.065
  29. Hachicha et al. (2019) Impact of dust on the performance of solar photovoltaic (PV) systems under United Arab Emirates weather conditions (pp. 287-297) https://doi.org/10.1016/j.renene.2019.04.004
  30. Dahlioui et al. (2019) Investigation of soiling impact on PV modules performance in semi-arid and hyper-arid climates in Morocco (pp. 32-39) https://doi.org/10.1016/j.esd.2019.05.001
  31. Lu et al. (2016) Numerical investigation of dust pollution on a solar photovoltaic (PV) system mounted on an isolated building (pp. 27-36) https://doi.org/10.1016/j.apenergy.2016.07.030
  32. Lu and Zhang (2018) Numerical study of dry deposition of monodisperse and polydisperse dust on building-mounted solar photovoltaic panels with different roof inclinations (pp. 535-544) https://doi.org/10.1016/j.solener.2018.10.068
  33. Chiteka et al. (2019) Numerical investigation of installation and environmental parameters on soiling of roof mounted solar photovoltaic array https://doi.org/10.1080/23311916.2019.1649007
  34. Lu et al. (2019) Numerical investigation on monodispersed particle deposition in turbulent duct flow with thermophoresis (pp. 5711-5716) https://doi.org/10.1016/j.egypro.2019.01.563
  35. Lu and Zhao (2019) CFD prediction of dust pollution and impact on an isolated ground-mounted solar photovoltaic system (pp. 829-840) https://doi.org/10.1016/j.renene.2018.07.112
  36. Heydarabadi et al. (2017) Simulation of airflow and particle deposition settled over a tilted Photovoltaic module (pp. 1016-1029) https://doi.org/10.1016/j.energy.2017.08.023
  37. Beattie et al. (2012) Understanding the effects of sand and dust accumulation on photovoltaic modules (pp. 448-452) https://doi.org/10.1016/j.renene.2012.06.007
  38. Karava et al. (2011) Numerical modelling of forced convective heat transfer from the inclined windward roof of an isolated low-rise building with application to photovoltaic/thermal systems (pp. 1950-1963) https://doi.org/10.1016/j.applthermaleng.2011.02.042
  39. Hellsten, A.: Some improvements in Menter’s
  40. k
  41. –
  42. ω
  43. SST turbulence model [C]. Albuquerque, NM,1998, AIAA 98-2554 (1998).
  44. https://doi.org/10.2514/6.1998-2554
  45. .
  46. Zhang (2017) Comparison of various turbulence models for unsteady flow around a finite circular cylinder at Re = 20000 https://doi.org/10.1088/1742-6596/910/1/012027
  47. Menter (1994) Two-equation eddy-viscosity turbulence models for engineering applications (pp. 1598-1605) https://doi.org/10.2514/3.12149
  48. Menter, F.R.: Zonal two equation k–ω turbulence models for aerodynamic flows. In: 24th Fluid Dynamics Conference, n.d., p. 22
  49. Heggøy, M.W.: Numerical investigation of particle dispersion in a gravitational field and in zero gravity. Master of Science Thesis, The University of Bergen, Department of Physics and Technology (2017)
  50. Zhao et al. (2004) Comparison of indoor aerosol particle concentration and deposition in different ventilated rooms by numerical method (pp. 1-8) https://doi.org/10.1016/j.buildenv.2003.08.002
  51. Zhu et al. (2018) Analysis of particle trajectories in a quick-contact cyclone reactor using a discrete phase model (pp. 928-939) https://doi.org/10.1080/01496395.2017.1386683
  52. Liu, S., Pan, W., Cheng, X., Zhang, H., Long, Z., Chen, Q.: CFD simulations of wind flow in an urban area with a full-scale geometrical model. In: 4th International Conference On Building Energy, Environment, COBEE2018-Paper063, pp. 174–179 (2018)
  53. Zhang, X.: CFD simulation of neutral ABL flows, Risø DTU National Laboratory for Sustainable Energy. Technical University of Denmark, Roskilde, Denmark. (Risø-R_1688 (EN), pp. 1–40 (2009)
  54. Twidell and Weir (2015) Routledge https://doi.org/10.4324/9781315766416
  55. Abiola-Ogedengbe et al. (2015) Experimental investigation of wind effects on a standalone photovoltaic (PV) module (pp. 657-665) https://doi.org/10.1016/j.renene.2015.01.037
  56. Shuang-guo and Shu-fang (2013) Research on 2MWp solar photovoltaic power generation technique (pp. 611-613)
  57. Tominaga et al. (2015) Air flow around isolated gable-roof buildings with different roof pitches: wind tunnel experiments and CFD simulations (pp. 204-213) https://doi.org/10.1016/j.buildenv.2014.11.012
  58. Lu et al. (2019) Numerical study on polydispersed dust pollution process on solar photovoltaic panels mounted on a building roof (pp. 879-884) https://doi.org/10.1016/j.egypro.2019.01.225