Abstract
Governments have been pushed to boost the installation of Non-Conventional Energy Sources as a outcome of rising energy need and trouble about global warming. Their development is captious in light of the 2030 program’s sustainable development goals, which include boosting the part of Non-Conventional energy sources in global power mix. Solar power is a viable energy source that has received widespread concern due to its availability and lack of fuel expenses, resulting in the development of a number of uses, including photo-voltaic (PV) panels. It is fairly obvious that dust formation is one of the most fundamental factors influence the performance of Photovoltaic panels. Atmospheric factors such as atmospheric temperature, dirt formation, partial shade, and so on influence the efficiency of photovoltaic panels. This article gives detailed overview of cleaning approaches for solar photovoltaic panels that are currently available and being utilized by researchers. The study’s main goal was to examine the literature on solar photovoltaic module cleaning approaches based on IOT and Machine Learning, in order to determine research gaps in the field of solar panel cleaning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adinoyi MJ, Said SA (2013) Effect of dust accumulation on the power outputs of solar photovoltaic modules. Renew Energy 60:633–636
Al Shehri A, Parrott B, Carrasco P, Al Saiari H, Taie I (2017) Accelerated test bed for studying the wear, optical and electrical characteristics of dry cleaned PV solar panels. Sol Energy 146:8–19. https://doi.org/10.1016/j.solener.2017.02.014
Al Shehri A, Parrott B, Carrasco P, Al Saiari H, Taie I (2016) Impact of dust deposition and brush-based dry cleaning on glass transmittance for PV modules applications. Sol Energy 135:317–324. https://doi.org/10.1016/j.solener.2016.06.005
Al-Waeli AHA, Sopian K, Chaichan MT, Kazem HA, Ibrahim A, Mat S, Ruslan MH (2017c) Evaluation of the nanofluid and nano-PCM based photovoltaic thermal (PVT) system: an experimental study. Energy Convers Manag 151. https://doi.org/10.1016/j.enconman.2017.09.032
Anderson M, Grandy A, Hastie J, Sweezey A, Ranky R, Mavroidis C, Markopoulos YP (2010) Robotic device for cleaning photovoltaic panel arrays. Mob Robot Solut Challenges 367–377. https://doi.org/10.1142/9789814291279_0047
Ashtaputre G, Bhoi A (2019) Artificial intelligence based solar panel cleaning robot. IOSR J Electron Commun Eng (IOSR-JECE) 14(3):12–15. Ser II. e-ISSN: 2278-2834, p-ISSN: 2278-8735
Bhagwat K, Gajanan M, Nilesh R, Satish S, Sagar Y, Nemade KV (2017) Artificial intelligence solar panel cleaning mechanism. IJARIIE 3(3). ISSN(O) 2395-4396
Chen J, Pan G, Ouyang J, Ma J, Fu L, Zhang L (2020) Study on impacts of dust accumulation and rainfall on PV power reduction in East China. Energy 194. https://doi.org/10.1016/j.energy.2020.116915
Gaier J, Davis P, Marabito M (1990) Aeolian removal of dust types from photovoltaic surfaces on mars. In: 16th AIAA/NASA/ASTM/IES space simulation conference. Albuquerque, NM
He G, Zhou C, Li Z (2011) Review of self-cleaning method for solar cell array. Procedia Eng 16:640–645
Jadhav D (2019) Dust cleaner system for PV panel using IoT. Int J Comput Appl 178(10). 0975-8887
Khadka N, Bista A, Adhikari B, Shrestha A, Bista D (2020) Smart solar photovoltaic panel cleaning system. In: International conference on sustainable energy and green technology. 2019 IOP conference series: earth and environmental science, vol 463. IOP Publishing, p 012121. https://doi.org/10.1088/1755-1315/463/1/012121
Mani M, Pillai R (2010) Impact of dust on solar photovoltaic (PV) performance: research status, challenges and recommendations. Renew Sustain Energy Rev 14:3124–3131. https://doi.org/10.1016/j.rser.2010.07.065
Mazumder M, Horenstein M, Stark J, Hudelson JN, Sayyah A, Heiling C, Yellowhair J (2014) Electrodynamic removal of dust from solar mirrors and its applications in concentrated solar power (CSP) plants. In: 2014 IEEE industry applications society annual meeting IAS, pp 4 1–7. https://doi.org/10.1109/IAS.2014.6978347
Moreno L, Cabás R, Fernández D (2006) Low mass dust wiper technology for MSL rover. 1–7
Park YB, Im H, Im M, Choi YK (2011) Self-cleaning effect of highly water-repellent microshell structures for solar cell applications. J Mater Chem 21:633–636. https://doi.org/10.1039/c0jm02463e
Prasad A, Rithika, Rathika PD (2020) Illustration of automatic panel cleaning system. Int J Eng Res Technol (IJERT) 9(08). http://www.ijert.org. ISSN: 2278-0181
Rawshan Habib Md, Shahnewaz Tanvir Md, Suhan AY, Vadher A, Alam S, Shawmee TT, Ahmed K, Alrashed A (2021) P5 IEEE 2021 automatic solar panel cleaning system based on Arduino for dust removal
Renewables 2020 global status report. www.ren21.net
Sai Lalitha Chowdary K, Prameela G, Jayaharsha K, Ravi Kishore D (2017) Influence of dust removal mechanism on solar power plant and its performance. Int J Mod Trends Sci Technol 03(04). ISSN 2455-3778. http://www.ijmtst.com
Solar panel cleaning—automatic cleaning system: Heliotex. solarpanelcleaningsystems.com
Syafiq A, Pandey AK, Adzman NN, Rahim NA (2018) Advances in approaches and methods for self-cleaning of solar photovoltaic panels. Sol Energy 162:597–619
Tsamaase K (2017) Automated dust detection and cleaning system of PV module. IOSR J Electr Electron Eng (IOSR-JEEE) 12(6):93–98
Vaghani M, Magtarpara J, Vahani K, Maniya J, Gurjwar RK (2019) Automated solar panel cleaning system using IOT. Int Res J Eng Technol (IRJET) 06(04). p-ISSN: 2395-0072. e-ISSN: 2395-0056. www.irjet.net
Wable SS, Ganiger S (2017) Design & manufacturing of solar panels cleaning system. Int J Res Appl Sci Eng Technol (IJRASET) 5(VII)
Zorrilla-Casanova J, Piliougine M, Carretero J, Bernaola P, Carpena P, Mora-Lopez L, Sidrach-de-Cardona M (2011) Analysis of dust losses in photovoltaic modules. 2985–2992. https://doi.org/10.3384/ecp110572985.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ali, K.B., Ishrat, Z., Nayak, S. (2023). A Review: Dust Cleaning Approach of Solar Photovoltaic System Using IOT & ML. In: Rai, A., Kumar Singh, D., Sehgal, A., Cengiz, K. (eds) Paradigms of Smart and Intelligent Communication, 5G and Beyond. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-0109-8_14
Download citation
DOI: https://doi.org/10.1007/978-981-99-0109-8_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0108-1
Online ISBN: 978-981-99-0109-8
eBook Packages: Computer ScienceComputer Science (R0)