A Co-simulation approach for time-varying damage propagation in interdependent power and wastewater systems during flood events

Dados Bibliográficos

ID22028410
AutoresJason Huang (0000-0001-7115-0944, Tsinghua University), Jiaxu Huang (0000-0003-2268-0599), Joseph Jonathan Magoua (0000-0003-3899-7208, Nanjing University of Aeronautics and Astronautics), Yixuan Li (0009-0004-6861-0654, Tsinghua University, autor correspondente), Nan Li (0009-0000-4562-451X, Tsinghua University, autor correspondente)
Ano2025
Volume116
Páginas105155
Data de publicação2025-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Disaster Risk Reduction (JOURNAL)
Identificadores do periódicoISSN: 2212-4209
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2024.105155
OpenAlexW4405802992
IdiomaEN
Referências citadas43

During flood events, there is a bidirectional influence between interdependent wastewater and power systems (IWPS) and flood dynamics. This influence evolves over time and significantly impacts the performance and resilience of the IWPS. However, current approaches often treat the simulation of IWPS behavior and flood progression independently. This limitation hampers their ability to accurately assess the temporal performance of IWPS under the dynamic effects of flooding . To address this challenge, we propose a novel co-simulation approach based on high-level architecture (HLA) that allows the domain-specific power and wastewater system simulators to form a federated simulation architecture with the flood model. A case study demonstrates the efficacy of the proposed approach. The findings show that the damage propagation worsens overall flooding , but locally, a few wastewater components may experience less ponding water due to outflow redistribution. The findings also indicate that neglecting the temporal variance of damage propagation can lead to overestimated flood impact on the IWPS. In addition, the approach captures the heterogeneous behavior among IWPS components and the dynamic progression of floods, offering a more granular understanding of the damage propagation mechanism. The influence of uncertainty in waterproof thresholds and precipitation depth is also investigated. The findings of this study offer valuable insights for stakeholders managing interdependent infrastructures during floods

Environmental planning · Flood myth · Geography · Interdependence · Waste management · Wastewater · Computer Science · Engineering · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Power System Optimization and Stability · Smart Grid Security and Resilience · Environmental Engineering