September 13, 2023
Conference Paper

A Tool for the Risk-Informed Management of Critical Mission Resilience


We describe a methodology and tool for the risk-informed management and planning of mission resilience. By mapping concepts of resilience onto the elements of a streamlined risk model we are able to tap the substantial portfolio of established risk concepts to provide rapid insights in the evaluation and high-level screening of prospective resilience enhancement measures. This provides a risk-informed, levelized basis for the comparison of disparate resilience solutions and the means of establishing preferences. The methodology begins with identification of critical missions met by a site, and establishment of the supporting physical assets. Scenarios that would result in failure of these assets are systematically identified. Each scenario comprises three elements: realization of a hazard or threat resulting in loss of resources (the current focus being on power, natural gas, and water) to the asset, failure of measures in place to protect the asset against those losses, and realization of the consequent impacts. These scenarios are quantified in terms of their probabilities of occurrence and the magnitude of the resultant consequences (mission outage time), allowing risk-prioritization to focus resilience enhancement considerations. What-If? analyses are conducted through adjusting elements of the risk calculation to reflect the deployment of prospective resilience measures, by which means the efficacies of each of those measures can be compared using common risk metrics across diverse resilience strategies. This paper will also describe the insights from example applications.

Published: September 13, 2023


Unwin S.D., D.B. Elliott, and J.A. Rotondo. 2020. A Tool for the Risk-Informed Management of Critical Mission Resilience. In ACEEE 2020 Summer Study on Energy Efficiency in Buildings, August 17-21, 2020, Virtual, Online, 11-313 - 11-327. Washington, District Of Columbia:American Council for an Energy-Efficient Economy. PNNL-SA-152021.