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Fault Coverage-Aware Metrics for Evaluating the Reliability Factor of Solar Tracking Systems

Author

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  • Raul Rotar

    (Computers and Information Technology, “Politehnica” University of Timisoara, 2 V. Parvan Blvd, 300223 Timisoara, Romania)

  • Sorin Liviu Jurj

    (Computers and Information Technology, “Politehnica” University of Timisoara, 2 V. Parvan Blvd, 300223 Timisoara, Romania)

  • Flavius Opritoiu

    (Computers and Information Technology, “Politehnica” University of Timisoara, 2 V. Parvan Blvd, 300223 Timisoara, Romania)

  • Mircea Vladutiu

    (Computers and Information Technology, “Politehnica” University of Timisoara, 2 V. Parvan Blvd, 300223 Timisoara, Romania)

Abstract

This paper presents a mathematical approach for determining the reliability of solar tracking systems based on three fault coverage-aware metrics which use system error data from hardware, software as well as in-circuit testing (ICT) techniques, to calculate a solar test factor (STF). Using Euler’s named constant, the solar reliability factor (SRF) is computed to define the robustness and availability of modern, high-performance solar tracking systems. The experimental cases which were run in the Mathcad software suite and the Python programming environment show that the fault coverage-aware metrics greatly change the test and reliability factor curve of solar tracking systems, achieving significantly reduced calculation steps and computation time.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1074-:d:501482
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    References listed on IDEAS

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    1. Ouyang, Xiaoling & Lin, Boqiang, 2014. "Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China," Energy Policy, Elsevier, vol. 70(C), pages 64-73.
    2. Jonathan T. Lee & Duncan S. Callaway, 2018. "The cost of reliability in decentralized solar power systems in sub-Saharan Africa," Nature Energy, Nature, vol. 3(11), pages 960-968, November.
    3. Aldersey-Williams, J. & Rubert, T., 2019. "Levelised cost of energy – A theoretical justification and critical assessment," Energy Policy, Elsevier, vol. 124(C), pages 169-179.
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    Cited by:

    1. Mehrdad Aslani & Hamed Hashemi-Dezaki & Abbas Ketabi, 2021. "Reliability Evaluation of Smart Microgrids Considering Cyber Failures and Disturbances under Various Cyber Network Topologies and Distributed Generation’s Scenarios," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    2. 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.
    3. 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.

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