Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany

Of many defining characteristics for a flood resilient city and its infrastructure networks, mitigating flooding impacts and recovering quickly to a pre-flood state are to be considered of high importance. With a likely increase in the frequency and intensity of future heavy precipitation and floodi...

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Main Authors: Jorge Leandro, Shane Cunneff, Lorenz Viernstein
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.572925/full
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author Jorge Leandro
Shane Cunneff
Lorenz Viernstein
author_facet Jorge Leandro
Shane Cunneff
Lorenz Viernstein
author_sort Jorge Leandro
collection DOAJ
description Of many defining characteristics for a flood resilient city and its infrastructure networks, mitigating flooding impacts and recovering quickly to a pre-flood state are to be considered of high importance. With a likely increase in the frequency and intensity of future heavy precipitation and flooding events in Europe, the vulnerability of the electrical distribution network of Maxvorstadt, Munich will also increase. These facts justify the need for quantifying how the electrical distribution network would respond to flooding, and more so, how stakeholders can better prepare for such an event. For a synthetic electrical distribution network of Maxvorstadt, the timing and location of network components failure due to flooding and affected persons without power have been computed for a combination of realistic future flooding events via the Electrical Network Flood Resilience Model developed in this study. It has been learned that most buildings, and therefore their inhabitants, lose power due to the failure of a specific component, Medium Voltage—Low Voltage transformer buses, and that flood risk solutions should focus on protecting network components from inundation to ensure its functionality through flooding events. Solutions like dry proofing such components before severe flooding occurs is recommended for several neighborhoods analyzed in this study.
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spelling doaj.art-1f684e43772e43958bb93dde58b569432022-12-21T22:24:05ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632021-03-01910.3389/feart.2021.572925572925Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, GermanyJorge Leandro0Shane Cunneff1Lorenz Viernstein2Department of Civil, Geo and Environmental Engineering, Technical University of Munich, Munich, GermanyDepartment of Civil, Geo and Environmental Engineering, Technical University of Munich, Munich, GermanyDepartment of Electrical and Computer Engineering, Technical University of Munich, Munich, GermanyOf many defining characteristics for a flood resilient city and its infrastructure networks, mitigating flooding impacts and recovering quickly to a pre-flood state are to be considered of high importance. With a likely increase in the frequency and intensity of future heavy precipitation and flooding events in Europe, the vulnerability of the electrical distribution network of Maxvorstadt, Munich will also increase. These facts justify the need for quantifying how the electrical distribution network would respond to flooding, and more so, how stakeholders can better prepare for such an event. For a synthetic electrical distribution network of Maxvorstadt, the timing and location of network components failure due to flooding and affected persons without power have been computed for a combination of realistic future flooding events via the Electrical Network Flood Resilience Model developed in this study. It has been learned that most buildings, and therefore their inhabitants, lose power due to the failure of a specific component, Medium Voltage—Low Voltage transformer buses, and that flood risk solutions should focus on protecting network components from inundation to ensure its functionality through flooding events. Solutions like dry proofing such components before severe flooding occurs is recommended for several neighborhoods analyzed in this study.https://www.frontiersin.org/articles/10.3389/feart.2021.572925/fullnetwork flood resilienceelectrical distribution networkurban floodsflood risk assessmentflood inundation modelingcritical infrastructure
spellingShingle Jorge Leandro
Shane Cunneff
Lorenz Viernstein
Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
Frontiers in Earth Science
network flood resilience
electrical distribution network
urban floods
flood risk assessment
flood inundation modeling
critical infrastructure
title Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
title_full Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
title_fullStr Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
title_full_unstemmed Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
title_short Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany
title_sort resilience modeling of flood induced electrical distribution network failures munich germany
topic network flood resilience
electrical distribution network
urban floods
flood risk assessment
flood inundation modeling
critical infrastructure
url https://www.frontiersin.org/articles/10.3389/feart.2021.572925/full
work_keys_str_mv AT jorgeleandro resiliencemodelingoffloodinducedelectricaldistributionnetworkfailuresmunichgermany
AT shanecunneff resiliencemodelingoffloodinducedelectricaldistributionnetworkfailuresmunichgermany
AT lorenzviernstein resiliencemodelingoffloodinducedelectricaldistributionnetworkfailuresmunichgermany