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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.

Suggested Citation

  • 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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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Aksakal, Ahmet & Rehman, Shafiqur, 1999. "Global solar radiation in Northeastern Saudi Arabia," Renewable Energy, Elsevier, vol. 17(4), pages 461-472.
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