I nfrastructure M odels: Composable Multi-infrastructure Optimization in Julia

Russell Bent (), Byron Tasseff () and Carleton Coffrin ()
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Russell Bent: Los Alamos National Laboratory, Los Alamos, New Mexico 87545
Byron Tasseff: Los Alamos National Laboratory, Los Alamos, New Mexico 87545
Carleton Coffrin: Los Alamos National Laboratory, Los Alamos, New Mexico 87545

INFORMS Journal on Computing, 2024, vol. 36, issue 2, 600-615

Abstract: In recent years, there has been an increasing need to understand the complex interdependencies between critical infrastructure systems, for example, electric power, natural gas, and potable water. Whereas open-source and commercial tools for the independent simulation of these systems are well established, frameworks for cosimulation with other systems are nascent and tools for co-optimization are scarce—the major challenge being the hidden combinatorics that arise when connecting multiple-infrastructure system models. Building toward a comprehensive solution for modeling interdependent infrastructure systems, this work presents I nfrastructure M odels , an extensible, open-source mathematical programming framework for co-optimizing multiple interdependent infrastructures. This work provides new insights into methods and programming abstractions that make state-of-the-art independent infrastructure models composable with minimal additional effort. To that end, this paper presents the design of the I nfrastructure M odels framework, documents key components of the software’s implementation, and demonstrates its effectiveness with three case studies on canonical co-optimization tasks arising in interdependent infrastructure systems.

Keywords: interdependency; optimization; software; gas-grid; power-water (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orijoc:v:36:y:2024:i:2:p:600-615

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