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Improving the Solar Reliability Factor of a Dual-Axis Solar Tracking System Using Energy-Efficient Testing Solutions

Author

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  • Sorin Liviu Jurj

    (Department of Computers and Information Technology, Faculty of Automation and Computing, “Politehnica” University of Timisoara, V. Parvan Blvd., 300223 Timisoara, Romania)

  • Raul Rotar

    (Department of Computers and Information Technology, Faculty of Automation and Computing, “Politehnica” University of Timisoara, V. Parvan Blvd., 300223 Timisoara, Romania)

  • Flavius Opritoiu

    (Department of Computers and Information Technology, Faculty of Automation and Computing, “Politehnica” University of Timisoara, V. Parvan Blvd., 300223 Timisoara, Romania)

  • Mircea Vladutiu

    (Department of Computers and Information Technology, Faculty of Automation and Computing, “Politehnica” University of Timisoara, V. Parvan Blvd., 300223 Timisoara, Romania)

Abstract

This paper presents an improved mathematical model for calculating the solar test factor (STF) and solar reliability factor (SRF) of a photovoltaic (PV) automated equipment. By employing a unified metrics system and a combined testing suite encompassing various energy-efficient testing techniques, the aim of this paper is to determine a general fault coverage and improve the global SRF of a closed-loop dual-axis solar tracking system. Accelerated testing coupled with reliability analysis are essential tools for assessing the performance of modern solar tracking devices since PV system malfunctioning is directly connected to economic loss, which is an important aspect for the solar energy domain. The experimental results show that the unified metrics system is potentially suitable for assessing the reliability evaluation of many types of solar tracking systems. Additionally, the proposed combined testing platform proves efficient regarding fault coverage (overall coverage of 66.35% for all test scenarios), test time (an average of 275 min for 2864 test cycles), and power consumption (zero costs regarding electricity consumption for all considered test cases) points of view.

Suggested Citation

  • Sorin Liviu Jurj & Raul Rotar & Flavius Opritoiu & Mircea Vladutiu, 2021. "Improving the Solar Reliability Factor of a Dual-Axis Solar Tracking System Using Energy-Efficient Testing Solutions," Energies, MDPI, vol. 14(7), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:2009-:d:530488
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    References listed on IDEAS

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    1. Raul Rotar & Sorin Liviu Jurj & Flavius Opritoiu & Mircea Vladutiu, 2021. "Fault Coverage-Aware Metrics for Evaluating the Reliability Factor of Solar Tracking Systems," Energies, MDPI, vol. 14(4), pages 1-24, February.
    2. Laura Casula & Guglielmo D’Amico & Giovanni Masala & Filippo Petroni, 2020. "Performance estimation of photovoltaic energy production," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 267-285, December.
    3. Aste, Niccolò & Del Pero, Claudio & Leonforte, Fabrizio & Manfren, Massimiliano, 2013. "A simplified model for the estimation of energy production of PV systems," Energy, Elsevier, vol. 59(C), pages 503-512.
    4. Quentin L. Burrell, 2008. "Handbook of Exponential and Related Distributions for Engineers and Scientists," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 759-760, June.
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    1. Raul Rotar & Sorin Liviu Jurj & Robert Susany & Flavius Opritoiu & Mircea Vladutiu, 2021. "Global Energy Production Computation of a Solar-Powered Smart Home Automation System Using Reliability-Oriented Metrics," Energies, MDPI, vol. 14(9), pages 1-23, April.
    2. Silvestro Cossu & Roberto Baccoli & Emilio Ghiani, 2021. "Utility Scale Ground Mounted Photovoltaic Plants with Gable Structure and Inverter Oversizing for Land-Use Optimization," Energies, MDPI, vol. 14(11), pages 1-16, May.

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