EconPapers    
Economics at your fingertips  
 

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

Marek Stawowy, Adam Rosiński, Jacek Paś and Tomasz Klimczak
Additional contact information
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

Energies, 2021, vol. 14, issue 2, 1-16

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.

Keywords: system quality; reliability; supply system; hospital (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/2/486/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/2/486/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:2:p:486-:d:482308

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:486-:d:482308