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Energy Procedia
Article . 2017 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Energy Procedia
Article
License: CC BY NC ND
Data sources: UnpayWall
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Resilience of critical infrastructures: probabilistic case study of a district heating pipeline network in municipality of Latvia

Authors: Maksims Feofilovs; Francesco Romagnoli;

Resilience of critical infrastructures: probabilistic case study of a district heating pipeline network in municipality of Latvia

Abstract

Abstract The effects of disasters on communities is a critical issue to be considered in terms of growing exposure of infrastructures to natural hazards. The significant role of the infrastructure systems – and thus their interconnections – is a key for the current urbanization development expected to increase within the next years. Thus, the role of infrastructures should guarantee the support of urban life standards to guarantee public welfare. This aim can only be designed with an enhanced level of infrastructural resilience within the field of crisis management. The concept of infrastructure resilience is normally linked with the ability to cope with severe disruptions, guaranteeing a minimal level of a specific function of infrastructure itself. This framework provides a useful tool to enable stakeholders to effectively assess resilience strategies that are a key factor for building a resilient infrastructures. Considering this, the aim of this research is to present a resilience evaluation tool addressed to evaluate potential scenarios for enhancing the resilience of a specific infrastructure network and to further identify the most sensitivite assets of that critical infrastructure network. The case of a real system was examined by the application of probabilistic methods applied to infrastructure network to generate statistical data for the calculation of the district heating (DH) pipeline network resilience of a municipality in Latvia. The study clarifies how resilient the district heating system is to a specific hazard and what could be the effect of specific investment scenarios aimed to enhance resilience. It will also identifies the most resilient assets of the DH network system and thus determine the main features of a DH systems that are important to ensure overall infrastructure resilience.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Average
gold