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Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices

Author

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  • Marek Stawowy

    (Faculty of Transport, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland)

  • Adam Rosiński

    (Faculty of Transport, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland)

  • Jacek Paś

    (Faculty of Electronic, Military University of Technology, Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland)

  • Tomasz Klimczak

    (The Main School of Fire Service, Juliusza Słowackiego 52/54, 01-629 Warsaw, Poland)

Abstract

The article presents issues related to the determination of the continuity quality of power supply (CQoPS) for hospital electrical devices. The model describing CQoPS takes into account power redundancy. The uncertainty modeling method based on the certainty factor (CF) of the hypothesis was used to establish the single-valued CQoPS factor. CQoPS modeling takes into account multidimensional quality models and physical stages of power. The quality models take into account seven dimensions that make up CQoPS (availability, appropriate amount, power supply reliability, power quality, assurance, responsiveness, security). The model of power stages includes five of these stages (power generation, delivery to recipient, distribution by recipient, delivery to device, power-consuming device). To date, when designing hospital power systems, the applied reliability indicators revealed limitations because they do not consider all the possible factors influencing the power continuity. Estimating the supply continuity quality with the use of the uncertainty modeling proposed in this article allows for taking into account all possible factors (not just reliability factors) that may affect supply continuity. The presented modeling offers an additional advantage, namely, it allows an expanded evaluation of the hospital supply system and a description using only one indicator. This fact renders the evaluation of the supply system possible for unqualified staff. At the end of the article, some examples of calculations and simulations are presented, thus showing that the applied methods give the expected results.

Suggested Citation

  • Marek Stawowy & Adam Rosiński & Jacek Paś & Tomasz Klimczak, 2021. "Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices," Energies, MDPI, vol. 14(2), pages 1-16, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:486-:d:482308
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    References listed on IDEAS

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    Cited by:

    1. Marek Stawowy & Adam Rosiński & Mirosław Siergiejczyk & Krzysztof Perlicki, 2021. "Quality and Reliability-Exploitation Modeling of Power Supply Systems," Energies, MDPI, vol. 14(9), pages 1-16, May.
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    5. Marek Stawowy & Adam Rosiński & Jacek Paś & Stanisław Duer & Marta Harničárová & Krzysztof Perlicki, 2023. "The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets," Energies, MDPI, vol. 16(12), pages 1-18, June.
    6. Oleg Gubarevych & Stanisław Duer & Inna Melkonova & Marek Woźniak & Jacek Paś & Marek Stawowy & Krzysztof Rokosz & Konrad Zajkowski & Dariusz Bernatowicz, 2023. "Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors," Energies, MDPI, vol. 16(19), pages 1-21, September.
    7. Marek Stawowy & Stanisław Duer & Krzysztof Perlicki & Tomasz Mrozek & Marta Harničárová, 2023. "Supporting Information Quality Management in Information and Communications Technology Systems with Uncertainty Modelling," Energies, MDPI, vol. 16(6), pages 1-18, March.
    8. Stanisław Duer & Marek Woźniak & Arkadiusz Ostrowski & Jacek Paś & Radosław Duer & Konrad Zajkowski & Dariusz Bernatowicz, 2022. "Assessment of the Reliability of Wind Farm Device on the Basis of Modeling Its Operation Process," Energies, MDPI, vol. 16(1), pages 1-16, December.
    9. Marek Stawowy & Stanisław Duer & Jacek Paś & Wojciech Wawrzyński, 2021. "Determining Information Quality in ICT Systems," Energies, MDPI, vol. 14(17), pages 1-18, September.
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    11. Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Dariusz Bernatowicz & Arkadiusz Ostrowski & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time between Failures (MTBF)," Energies, MDPI, vol. 16(4), pages 1-16, February.
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