Dystopia - Center for Infrastructure Defense
Advancing Resilience Theory and Tools to Combat Environmental Surprise
Sponsor: Office of the Secretary of Defense (OSD) Strategic Environmental Research and Development Program (SERDP)
Project Abstract: This project will develop theory and novel tools for improved assessment, planning, and investment of Department of Defense (DoD) infrastructure resources to enhance resilience, sustainment, and mission assurance in the presence of climate extremes and surprises that challenge system function. While best practices for military infrastructure currently follow principles of reliability and risk, these are—by necessity—based on knowledge of past events. They are not suited to adapt infrastructure to dramatic change and/or future surprising events. This project will complement current approaches by predicating investigative techniques on a theory of resilience that emphasizes adaptive response to surprise. This project will advance this theory to develop an investigative method and technology platform for vulnerability analysis, simulation, and wargame exercises with "realistic, yet fictitious" infrastructure systems set in a virtual simulation world to assess and improve the capacity of military installations to adapt to surprise.
Technical Approach: The technical approach is organized in three integrated thrusts focused on the development of theory and frameworks for measuring resilience, advances in tools for simulating surprise, and experiential learning with wargaming and case studies. Research tasks for Thrust 1 advance measures of resilience by linking sensing, anticipating, adapting, and learning processes with established theories of surprise from military history and the intelligence community. Thrust 2 builds on Thrust 1 to add new features and gaming capacities to an established training tool called Dystopia to create a platform for investigating how military practitioners respond to surprising climate stressors. Thrust 3 builds on Thrust 2 to develop novel training and wargaming capacities to assess and improve expertise in responding to surprise events. Together, this project advances a deeper understanding of resilience while building the tools and methods to assess and improve resilience across military installations.
Modeling of Physically-Based Predictive Wildfire Events in a Virtual Environment from Geospecific Data
Capt. Nicholas Hardesty, USMC
Climate change and corresponding national disasters pose a threat to critical infrastructure. The ability to analyze, predict, and model these events in a virtual environment gives leaders a framework on which to base decisions. The goal of this research will explore the modeling of risk and consequences of wildfire in a virtual environment. Research tasks include climate data such as temperature, rainfall, vegetation growth, wind and lightning strikes for a known location. The data will then be applied to Dystopia’s given physical environmental characteristics including slope and water sources to determine appropriate locations and quantity for vegetation growth. Then, we will predict and model wildfire risk. Origin and consequence analysis will be based on researched climate information alongside Dystopia’s geographic features. This thesis will conclude with the modeling of these results on a graphical interface map.
Power System Benchmarks for Infrastructure on Naval Installations
LCDR Olive Oliveros, USN
There has been many power system benchmarks developed in the civilian sector, however none are specific to a military installation. For example, the Institute for Electrical and Electronics Engineers (IEEE) for example has developed many standard test systems for conventional Alternate Current (AC) power systems, while the Conseil International des Grands Réseaux Electriques (CIGRE) have created benchmarks which are part of Europeans countries’ grids and include both AC and Direct Current (DC) power. This research supports the development of a benchmark set of models to evaluate electric power operations on a military installation. The goal is to develop publicly available data sets that include military-specific needs, like critical vulnerabilities given mission assurance, mixture of old and new infrastructure, and notions of power flow inside and outside the installation fence line.