Print Email Facebook Twitter Designing resilient and economically viable water distribution systems Title Designing resilient and economically viable water distribution systems: A Multi-dimensional approach Author Cassottana, Beatrice (Singapore-ETH Centre) Balakrishnan, Srijith (Singapore-ETH Centre) Aydin, N.Y. (TU Delft System Engineering) Sansavini, Giovanni (ETH Zürich) Date 2023 Abstract Enhancing the resilience of critical infrastructure systems requires substantial investment and entails trade-offs between environmental and economic benefits. To this aim, we propose a methodological framework that combines resilience and economic analyses and assesses the economic viability of alternative resilience designs for a Water Distribution System (WDS) and its interdependent power and transportation systems. Flow-based network models simulate the interdependent infrastructure systems and Global Resilience Analysis (GRA) quantifies three resilience metrics under various disruption scenarios. The economic analysis monetizes the three metrics and compares two resilience strategies involving the installation of remotely controlled shutoff valves. Using the Micropolis synthetic interdependent water-transportation network as an example, we demonstrate how our framework can guide infrastructure stakeholders and utility operators in measuring the value of resilience investments. Overall, our approach highlights the importance of economic analysis in designing resilient infrastructure systems. Subject Economic analysisInterdependencyRecovery strategyResilienceWater distribution system To reference this document use: http://resolver.tudelft.nl/uuid:952564cb-e56b-48e7-a979-0143f538849d DOI https://doi.org/10.1016/j.rcns.2023.05.004 Source Resilient Cities and Structures, 2 (3), 19-29 Part of collection Institutional Repository Document type journal article Rights © 2023 Beatrice Cassottana, Srijith Balakrishnan, N.Y. Aydin, Giovanni Sansavini Files PDF 1_s2.0_S2772741623000339_main.pdf 2.53 MB Close viewer /islandora/object/uuid:952564cb-e56b-48e7-a979-0143f538849d/datastream/OBJ/view