IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i7p2009-d530488.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/7/2009/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/7/2009/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Woo-Gyun Shin & Ju-Young Shin & Hye-Mi Hwang & Chi-Hong Park & Suk-Whan Ko, 2022. "Power Generation Prediction of Building-Integrated Photovoltaic System with Colored Modules Using Machine Learning," Energies, MDPI, vol. 15(7), pages 1-17, April.
    3. Del Pero, Claudio & Aste, Niccolò & Leonforte, Fabrizio, 2021. "The effect of rain on photovoltaic systems," Renewable Energy, Elsevier, vol. 179(C), pages 1803-1814.
    4. Larsson, Karl & Green, Rikard & Benth, Fred Espen, 2023. "A stochastic time-series model for solar irradiation," Energy Economics, Elsevier, vol. 117(C).
    5. Tamer, Tolga & Gürsel Dino, Ipek & Meral Akgül, Cagla, 2022. "Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    6. Luigi Rubino & Guido Rubino & Raffaele Esempio, 2023. "Linear Programming-Based Power Management for a Multi-Feeder Ultra-Fast DC Charging Station," Energies, MDPI, vol. 16(3), pages 1-17, January.
    7. Diego A. Flores-Hernández & Alberto Luviano-Juárez & Norma Lozada-Castillo & Octavio Gutiérrez-Frías & César Domínguez & Ignacio Antón, 2021. "Optimal Strategy for the Improvement of the Overall Performance of Dual-Axis Solar Tracking Systems," Energies, MDPI, vol. 14(22), pages 1-24, November.
    8. Lukač, Niko & Seme, Sebastijan & Žlaus, Danijel & Štumberger, Gorazd & Žalik, Borut, 2014. "Buildings roofs photovoltaic potential assessment based on LiDAR (Light Detection And Ranging) data," Energy, Elsevier, vol. 66(C), pages 598-609.
    9. 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.
    10. Francesco Mancini & Benedetto Nastasi, 2020. "Solar Energy Data Analytics: PV Deployment and Land Use," Energies, MDPI, vol. 13(2), pages 1-18, January.
    11. Kovač, Marko & Stegnar, Gašper & Al-Mansour, Fouad & Merše, Stane & Pečjak, Andrej, 2019. "Assessing solar potential and battery instalment for self-sufficient buildings with simplified model," Energy, Elsevier, vol. 173(C), pages 1182-1195.
    12. Zhang, Jin & Xuan, Yimin & Yang, Lili, 2014. "Performance estimation of photovoltaic–thermoelectric hybrid systems," Energy, Elsevier, vol. 78(C), pages 895-903.
    13. Dias, César Luiz de Azevedo & Castelo Branco, David Alves & Arouca, Maurício Cardoso & Loureiro Legey, Luiz Fernando, 2017. "Performance estimation of photovoltaic technologies in Brazil," Renewable Energy, Elsevier, vol. 114(PB), pages 367-375.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:2009-:d:530488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.