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Solving Power Outages in Healthcare Facilities: Algorithmisation and Assessment of Preparedness

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63553238" target="_blank" >RIV/70883521:28140/22:63553238 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28160/22:63553238

  • Result on the web

    <a href="https://www.mdpi.com/1996-1073/16/1/457" target="_blank" >https://www.mdpi.com/1996-1073/16/1/457</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/en16010457" target="_blank" >10.3390/en16010457</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Solving Power Outages in Healthcare Facilities: Algorithmisation and Assessment of Preparedness

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50902 - Social sciences, interdisciplinary

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energies

  • ISSN

    1996-1073

  • e-ISSN

  • Volume of the periodical

    2023

  • Issue of the periodical within the volume

    16 (1)

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000910413700001

  • EID of the result in the Scopus database

    2-s2.0-85145664786