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Quantifying Energy Systems Resilience—A Simulation Approach to Assess Recovery
Author(s) -
Kyriakidis Miltos,
Lustenberger Peter,
Burgherr Peter,
Dang Vinh N.,
Hirschberg Stefan
Publication year - 2018
Publication title -
energy technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.91
H-Index - 44
eISSN - 2194-4296
pISSN - 2194-4288
DOI - 10.1002/ente.201700841
Subject(s) - resilience (materials science) , metric (unit) , hazard , risk analysis (engineering) , natural hazard , preparedness , computer science , service (business) , vulnerability (computing) , geospatial analysis , disaster recovery , natural disaster , environmental resource management , emergency management , reliability engineering , environmental science , business , computer security , engineering , operations management , geography , physics , chemistry , cartography , organic chemistry , marketing , meteorology , political science , law , thermodynamics , operating system
Resilience often addresses preparedness of systems and social units to internal or/and external hazards, and the subsequent recovery. Preparedness is primarily associated with the designed, as‐built, pre‐disaster phase of a system, whereas recovery deals with the post‐disruption response. As the damage of a system and the service disruption are associated with inherent properties of its components, in addition to the magnitude of the hazard, recovery is additionally influenced by external factors, such as the state of the access infrastructure. This study demonstrates a simulation approach to quantify a metric of resilience, in this case the integral loss of function or service. A case study on the impact of floods on a natural gas network is presented, considering the geospatial location of the network, the areas with and without service, the required times for travel to the damage locations, and inspection/repair. The results underscore how the priorities selected for recovery can lead to strikingly different outcomes in terms of the resilience measure.