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dc.title | Solving power outages in healthcare facilities: Algorithmisation and assessment of preparedness | en |
dc.contributor.author | Víchová, Kateřina | |
dc.contributor.author | Hromada, Martin | |
dc.contributor.author | Džermanský, Martin | |
dc.contributor.author | Snopek, Lukáš | |
dc.contributor.author | Pekaj, Robert | |
dc.relation.ispartof | Energies | |
dc.identifier.issn | 1996-1073 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2023 | |
utb.relation.volume | 16 | |
utb.relation.issue | 1 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | MDPI | |
dc.identifier.doi | 10.3390/en16010457 | |
dc.relation.uri | https://www.mdpi.com/1996-1073/16/1/457 | |
dc.subject | power outage | en |
dc.subject | healthcare | en |
dc.subject | preparedness | en |
dc.description.abstract | Power outages present a significant threat to all of humanity. However, elements of critical infrastructure are most affected by this event. Among other things, healthcare facilities can be considered critical infrastructure. They are the backbone for saving lives. However, even these medical facilities can be endangered. The primary aim of this paper is to design an algorithm to assess healthcare facilities to solve power outages. Several inputs are considered for the evaluation of healthcare facilities. Based on these inputs, we could gain several outputs, such as object priority, preparedness of the healthcare facility, missing aggregate capacity and fuel stocks. Calculations to obtain this information are available in this article. This algorithm follows up the methodology for the categorisation and prioritisation of objects necessary for the resumption of electricity supply after a blackout. We conclude that only 15% of the surveyed healthcare facilities are prepared for a power outage. | en |
utb.faculty | Faculty of Logistics and Crisis Management | |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1011356 | |
utb.identifier.obdid | 43883846 | |
utb.identifier.scopus | 2-s2.0-85145664786 | |
utb.identifier.wok | 000910413700001 | |
utb.source | j-scopus | |
dc.date.accessioned | 2023-02-15T08:06:31Z | |
dc.date.available | 2023-02-15T08:06:31Z | |
dc.description.sponsorship | Univerzita Tomáše Bati ve Zlíně | |
dc.description.sponsorship | project Tomas Bata University in Zlin, DKRVO/FLKR | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.rights.access | openAccess | |
utb.contributor.internalauthor | Víchová, Kateřina | |
utb.contributor.internalauthor | Hromada, Martin | |
utb.contributor.internalauthor | Džermanský, Martin | |
utb.contributor.internalauthor | Snopek, Lukáš | |
utb.contributor.internalauthor | Pekaj, Robert | |
utb.fulltext.sponsorship | This research was supported by the project Tomas Bata University in Zlín, DKRVO/FLKŘ. | |
utb.wos.affiliation | [Vichova, Katerina; Dzermansky, Martin; Snopek, Lukas; Pekaj, Robert] Tomas Bata Univ Zlin, Fac Logist & Crisis Management, Studentske Namesti 1532, Uherske Hradiste 68601, Czech Republic; [Hromada, Martin] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic | |
utb.scopus.affiliation | Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, Uherské Hradiště, 686 01, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic | |
utb.fulltext.projects | DKRVO/FLKŘ |