A New Data-Based Dust Estimation Unit for PV Panels
Solar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust accumulation on solar panels results in a high degradation in the output power. Th...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| التنسيق: | article |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/21436 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513432411176960 |
|---|---|
| author | Shaaban, Mostafa |
| author2 | AlArif, Amal AbdulAziz Mokhtar, Mohamed Tariq, Usman Osman, Ahmed Al-Ali, A. R. |
| author2_role | author author author author author |
| author_facet | Shaaban, Mostafa AlArif, Amal AbdulAziz Mokhtar, Mohamed Tariq, Usman Osman, Ahmed Al-Ali, A. R. |
| author_role | author |
| dc.creator.none.fl_str_mv | Shaaban, Mostafa AlArif, Amal AbdulAziz Mokhtar, Mohamed Tariq, Usman Osman, Ahmed Al-Ali, A. R. |
| dc.date.none.fl_str_mv | 2020 2021-04-25T10:05:50Z 2021-04-25T10:05:50Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Shaaban, M.F.; Alarif, A.; Mokhtar, M.; Tariq, U.; Osman, A.H.; Al-Ali, A.R. A New Data-Based Dust Estimation Unit for PV Panels. Energies 2020, 13, 3601. https://doi.org/10.3390/en13143601 1996-1073 http://hdl.handle.net/11073/21436 10.3390/en13143601 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.relation.none.fl_str_mv | https://doi.org/10.3390/en13143601 |
| dc.subject.none.fl_str_mv | Solar panels Regression models Dust accumulation Renewable energy Dust estimation |
| dc.title.none.fl_str_mv | A New Data-Based Dust Estimation Unit for PV Panels |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Solar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust accumulation on solar panels results in a high degradation in the output power. The UAE has low intensity rainfall and wind velocity; therefore solar panels must be cleaned manually or using automated cleaning methods. Estimating dust accumulation on solar panels will increase the output power and reduce maintenance costs by initiating cleaning actions only when required. In this paper, the impact of natural dust accumulation on solar panels is investigated using field measurements and regression modeling. Experimental data were collected under various real weather conditions and controlled levels of dust. Moreover, this paper proposes a data-driven approach based on machine learning to estimate the accumulated dust level on solar panels. In this approach, a dust estimation unit based on a regression tree model has been developed to estimate the dust accumulation. This unit is trained using experimental records of solar irradiance, ambient temperature, and the output power generated from solar panels as well as the amount of dust at these conditions. The proposed unit is evaluated through different case studies with a random amount of dust applied to the solar panels to demonstrate the accurate performance of the proposed unit. |
| format | article |
| id | aus_7bc8d9998725ffc7ecf868303c4b1dad |
| identifier_str_mv | Shaaban, M.F.; Alarif, A.; Mokhtar, M.; Tariq, U.; Osman, A.H.; Al-Ali, A.R. A New Data-Based Dust Estimation Unit for PV Panels. Energies 2020, 13, 3601. https://doi.org/10.3390/en13143601 1996-1073 10.3390/en13143601 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21436 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | MDPI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A New Data-Based Dust Estimation Unit for PV PanelsShaaban, MostafaAlArif, Amal AbdulAzizMokhtar, MohamedTariq, UsmanOsman, AhmedAl-Ali, A. R.Solar panelsRegression modelsDust accumulationRenewable energyDust estimationSolar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust accumulation on solar panels results in a high degradation in the output power. The UAE has low intensity rainfall and wind velocity; therefore solar panels must be cleaned manually or using automated cleaning methods. Estimating dust accumulation on solar panels will increase the output power and reduce maintenance costs by initiating cleaning actions only when required. In this paper, the impact of natural dust accumulation on solar panels is investigated using field measurements and regression modeling. Experimental data were collected under various real weather conditions and controlled levels of dust. Moreover, this paper proposes a data-driven approach based on machine learning to estimate the accumulated dust level on solar panels. In this approach, a dust estimation unit based on a regression tree model has been developed to estimate the dust accumulation. This unit is trained using experimental records of solar irradiance, ambient temperature, and the output power generated from solar panels as well as the amount of dust at these conditions. The proposed unit is evaluated through different case studies with a random amount of dust applied to the solar panels to demonstrate the accurate performance of the proposed unit.American University of SharjahMDPI2021-04-25T10:05:50Z2021-04-25T10:05:50Z2020Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfShaaban, M.F.; Alarif, A.; Mokhtar, M.; Tariq, U.; Osman, A.H.; Al-Ali, A.R. A New Data-Based Dust Estimation Unit for PV Panels. Energies 2020, 13, 3601. https://doi.org/10.3390/en131436011996-1073http://hdl.handle.net/11073/2143610.3390/en13143601en_UShttps://doi.org/10.3390/en13143601oai:repository.aus.edu:11073/214362024-08-22T12:08:00Z |
| spellingShingle | A New Data-Based Dust Estimation Unit for PV Panels Shaaban, Mostafa Solar panels Regression models Dust accumulation Renewable energy Dust estimation |
| status_str | publishedVersion |
| title | A New Data-Based Dust Estimation Unit for PV Panels |
| title_full | A New Data-Based Dust Estimation Unit for PV Panels |
| title_fullStr | A New Data-Based Dust Estimation Unit for PV Panels |
| title_full_unstemmed | A New Data-Based Dust Estimation Unit for PV Panels |
| title_short | A New Data-Based Dust Estimation Unit for PV Panels |
| title_sort | A New Data-Based Dust Estimation Unit for PV Panels |
| topic | Solar panels Regression models Dust accumulation Renewable energy Dust estimation |
| url | http://hdl.handle.net/11073/21436 |