Documentation describing model modules, requirements, and outpus. Private document only available to developers.
The toolkit was developed to support resilience practitioners and researchers to efficiently invest in protecting their systems against emerging and uncertain hazards. The toolkit has many capabilities including:
Together, the toolkit supports the design of resilience strategies with sensitivity to limited resources.
Contact Prof. Chester to use the model, or for additional information.
Documentation including publications are provided below.
mchester@asu.edu
The core objective of the toolkit is to describe how failures progress within and across infrastructure systems. A mixed methods approach is used depending on the quality and availability of requisite data. The toolkit starts with a power transmission network, other infrastructure networks (e.g., water distribution, stormwater) and a hazard model that describes how the power network will experience disruption. A probabilistic cascading failure model is run that explores the likelihood of the offlining of transmission lines, and a power system solver is used to balance flows, ultimately describing offlined substations. Millions of iterations are explored to stochastically describe failure likelihoods, and with each iteration the impacts of power outages are captured in other infrastructure. For example, a water distribution model including hydraulic solver is used to describe pump outages and resulting insufficient pressure at buildings. A consequence analysis model is used to capture the effects of power outages on other systems, which can include socio-economic analysis, or transportation signaling outages.
The toolkit is flexible in that it can use real infrastructure data, or when limited to no data are available synthetic models can be employed. Power transmission and water distribution are critical infrastructure that can be synthesized for assessment.
Using population data, demand estimates, and supplemented with publicly available data on local utilities, the toolkit generates a power transmission network including the substations and their service areas, transmission line connections, and transmission line characteristics. The synthetic module produces the necessary information to model the power system in state-of-the-art solvers including OpenDSS and PyPSA.
Using information on treatment plants, elevation, roadway networks, buildings, and demand, the toolkit generates a water distribution network including pipe location, pipe diameter, pipe initial year of construction, pump location and pump size characteristics. The synthetic module produces the necessary information to model the water system in state-of-the-art solvers including EPANET.
The toolkit connects the water and power distribution models to establish interdependencies between the systems, identifying water system assets and their associations with substations.
REFIT is being used to assess extreme heat, flooding, and other climate-related events on infrastructure.
Kinetic attack, EMP, and sabotage scenarios have been assessed with REFIT.
Reliability impacts due to disrepair and their cascading failures, within and across infrastructure, have been assessed with REFIT.
We have developed the toolkit focusing on the Phoenix, New York, San Juan, and Atlanta regions, through National Science Foundation support (UREx, UWIN, Convergence, and RISE projects). The model has been deployed to military installations in support of base resilience planning.
Phoenix is one of the fast growing cities in the U.S., with a modern infrastructure at risk to extreme heat, precipitation, and flooding.
New York's infrastructure are some of the oldest in the U.S., supporting a major population and massive economic activity.
San Juan's storied infrastructure is in need of major rehabilitation that considers the need for climate adaptation against sea level rise, storm surges, and hurricanes.
Atlanta is a major population center in the U.S. Southeast and is subject to major heat, precipitation, and flooding challenges.
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Documentation describing model modules, requirements, and outpus. Private document only available to developers.
Ian Searles, Rajan Jain, Mikhail Chester, Arizona State University Digital Repository, 2024.
Ryan Hoff, Mikhail Chester, Environmental Research Infrastructure and Sustainability, 2023, 3(2), 025009, doi: 10.1088/2634-4505/acd07d.
Ryan Sparks, Ryan Hoff, Nathan Johnson, Mikhail Chester, Arizona State University Digital Repository, 2023.
Ryan Hoff, Arizona State University Dissertation, 2023.
Nasir Ahmad, Mikhail Chester, Emily Bondank, Mazdak Arabi, Nathan Johnson, Benjamin Ruddell, Sustainable and Resilient Infrastructure, 2022, 7(5), pp. 333-347, doi: 10.1080/23789689.2020.1788230.
Sybil Sharvelle, Andre Dozier, Mazdak Arabi, Brad Reichel, Environmental Modelling & Software, 2017, 97, pp. 213-228, doi: 10.1016/j.envsoft.2017.08.009.
Kathleen Gegner, Adam Birchfield, Ti Xu, Komal Shetye, Thomas Overbye, Proceedings of the IEEE Power and Energy Conference at Illinois (PECI), 2016, doi: 10.1109/PECI.2016.7459256.