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Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system

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  • Touati, Farid
  • Al-Hitmi, M.A.
  • Chowdhury, Noor Alam
  • Hamad, Jehan Abu
  • San Pedro Gonzales, Antonio J.R.

Abstract

A key factor in future eco-friendly and reliable energy systems for network stability is energy prediction of renewable resources. However, the climate-induced performance degradation represents a major drawback to solar making them unreliable for unattended or remote plants. We propose a customized cost-effective solution that allows monitoring and predicting the performance of PV systems, fostering thus efficient planning and control strategies for network stability. More specifically, we design an in-house system featuring a buck–boost converter enhanced with a maximum power point tracker (MPPT) serving as a PV load, sensors' system that collects climatic parameters including dust, wireless Radio, and a LabVIEW based monitoring and recording station. We have presented thoroughly all the system design steps. The system was deployed in Doha over a long period of time under harsh environment. It allows accessing and processing of recorded data ubiquitously over the web or from a database. Based on the recorded data, the power output for a given PV technology under any environment can be analyzed. Results predict that the maximum power output from a Poly-crystalline panel decreases by around 30% for a dust exposure of five months. This would suggest cleaning needs and advise on cleaning frequencies of PV panels.

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  • Touati, Farid & Al-Hitmi, M.A. & Chowdhury, Noor Alam & Hamad, Jehan Abu & San Pedro Gonzales, Antonio J.R., 2016. "Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system," Renewable Energy, Elsevier, vol. 89(C), pages 564-577.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:564-577
    DOI: 10.1016/j.renene.2015.12.046
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    1. Ishaque, Kashif & Salam, Zainal, 2013. "A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 475-488.
    2. D'Orazio, M. & Di Perna, C. & Di Giuseppe, E., 2014. "Experimental operating cell temperature assessment of BIPV with different installation configurations on roofs under Mediterranean climate," Renewable Energy, Elsevier, vol. 68(C), pages 378-396.
    3. Saber, Esmail M. & Lee, Siew Eang & Manthapuri, Sumanth & Yi, Wang & Deb, Chirag, 2014. "PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings," Energy, Elsevier, vol. 71(C), pages 588-595.
    4. Aksakal, Ahmet & Rehman, Shafiqur, 1999. "Global solar radiation in Northeastern Saudi Arabia," Renewable Energy, Elsevier, vol. 17(4), pages 461-472.
    5. Koutroulis, Eftichios & Kalaitzakis, Kostas, 2003. "Development of an integrated data-acquisition system for renewable energy sources systems monitoring," Renewable Energy, Elsevier, vol. 28(1), pages 139-152.
    6. Tebibel, Hammou & Labed, Sifeddine, 2013. "Performance results and analysis of self-regulated PV system in Algerian Sahara," Renewable Energy, Elsevier, vol. 60(C), pages 691-700.
    7. Salam, Zainal & Ahmed, Jubaer & Merugu, Benny S., 2013. "The application of soft computing methods for MPPT of PV system: A technological and status review," Applied Energy, Elsevier, vol. 107(C), pages 135-148.
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    1. Conceição, Ricardo & González-Aguilar, José & Merrouni, Ahmed Alami & Romero, Manuel, 2022. "Soiling effect in solar energy conversion systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
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    4. Khaled M. Alawasa & Rashid S. AlAbri & Amer S. Al-Hinai & Mohammed H. Albadi & Abdullah H. Al-Badi, 2021. "Experimental Study on the Effect of Dust Deposition on a Car Park Photovoltaic System with Different Cleaning Cycles," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
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    6. Costa, Suellen C.S. & Diniz, Antonia Sonia A.C. & Kazmerski, Lawrence L., 2018. "Solar energy dust and soiling R&D progress: Literature review update for 2016," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2504-2536.
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    9. Park, Nochang & Kim, Ju-Hee & Kim, Hyun-A. & Moon, Jin-Chel, 2017. "Development of an algebraic model that predicts the maximum power output of solar modules including their degradation," Renewable Energy, Elsevier, vol. 113(C), pages 141-147.
    10. Nasser Ahmad & Amith Khandakar & Amir El-Tayeb & Kamel Benhmed & Atif Iqbal & Farid Touati, 2018. "Novel Design for Thermal Management of PV Cells in Harsh Environmental Conditions," Energies, MDPI, vol. 11(11), pages 1-9, November.
    11. Chul-sung Lee & Hyo-mun Lee & Min-joo Choi & Jong-ho Yoon, 2019. "Performance Evaluation and Prediction of BIPV Systems under Partial Shading Conditions Using Normalized Efficiency," Energies, MDPI, vol. 12(19), pages 1-16, October.
    12. Al-Khori, Khalid & Bicer, Yusuf & Koç, Muammer, 2021. "Comparative techno-economic assessment of integrated PV-SOFC and PV-Battery hybrid system for natural gas processing plants," Energy, Elsevier, vol. 222(C).
    13. Karim Menoufi, 2017. "Dust Accumulation on the Surface of Photovoltaic Panels: Introducing the Photovoltaic Soiling Index (PVSI)," Sustainability, MDPI, vol. 9(6), pages 1-12, June.
    14. Isabel Santiago & David Trillo Montero & Juan J. Luna Rodríguez & Isabel M. Moreno Garcia & Emilio J. Palacios Garcia, 2017. "Graphical Diagnosis of Performances in Photovoltaic Systems: A Case Study in Southern Spain," Energies, MDPI, vol. 10(12), pages 1-26, November.
    15. Zhao, Ning & Yan, Suying & Zhang, Na & Zhao, Xiaoyan, 2022. "Impacts of seasonal dust accumulation on a point-focused Fresnel high-concentration photovoltaic/thermal system," Renewable Energy, Elsevier, vol. 191(C), pages 732-746.
    16. Masoud Emamian & Aref Eskandari & Mohammadreza Aghaei & Amir Nedaei & Amirmohammad Moradi Sizkouhi & Jafar Milimonfared, 2022. "Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques," Energies, MDPI, vol. 15(9), pages 1-25, April.
    17. Al-Addous, Mohammad & Dalala, Zakariya & Class, Christina B. & Alawneh, Firas & Al-Taani, Hussein, 2017. "Performance analysis of off-grid PV systems in the Jordan Valley," Renewable Energy, Elsevier, vol. 113(C), pages 930-941.
    18. Touati, Farid & Chowdhury, Noor Alam & Benhmed, Kamel & San Pedro Gonzales, Antonio J.R. & Al-Hitmi, Mohammed A. & Benammar, Mohieddine & Gastli, Adel & Ben-Brahim, Lazhar, 2017. "Long-term performance analysis and power prediction of PV technology in the State of Qatar," Renewable Energy, Elsevier, vol. 113(C), pages 952-965.
    19. Mohammed Al-Azba & Zhaohui Cen & Yves Remond & Said Ahzi, 2020. "An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions," Energies, MDPI, vol. 13(5), pages 1-21, February.
    20. Amith Khandakar & Muhammad E. H. Chowdhury & Monzure- Khoda Kazi & Kamel Benhmed & Farid Touati & Mohammed Al-Hitmi & Antonio Jr S. P. Gonzales, 2019. "Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar," Energies, MDPI, vol. 12(14), pages 1-19, July.
    21. Peinado Gonzalo, Alfredo & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2020. "Survey of maintenance management for photovoltaic power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    22. Amr Zeedan & Abdulaziz Barakeh & Khaled Al-Fakhroo & Farid Touati & Antonio S. P. Gonzales, 2021. "Quantification of PV Power and Economic Losses Due to Soiling in Qatar," Sustainability, MDPI, vol. 13(6), pages 1-15, March.

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