INL Resilience Optimization Center
Resources
IROC Resources
Our publications showcase the latest in resilience research, breakthroughs, and its applications. Materials included cover a wide range of resilience and risk management topics. It contains research trends, additional research data, and the opportunity to learn more about resilience subject matter. Types of media include resilience-specific publications, newsletters, videos, white papers, and fact sheets.
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Fact Sheets
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PyEmission
PyEmission is a Python library for estimating vehicular emissions and fuel consumption. This tool covers a range of light-duty motor vehicles including motorcycles, passenger cars, passenger trucks and light commercial trucks.
Dynamic Rare Earth Element Model (DREEM)
This is a system dynamics model for assessing dynamic rare earth production demand and U.S. wind energy demand.
Woody Biomass Companion Markets Model (WOODCOM)
The objective of this work is to analyze the dynamics of biomass resource distribution across multiple industries under different conditions. To this end, we developed a simulation model that projects the volume and price dynamics between the biomass resource base (supply) and different demand industries including intermediate processing (i.e., mobilization) and end-use markets (traditional, companion, and biofuels).
Cobalt Copper Nickel Supply Chains Model (CoCuNi)
The CoCuNi (pronounced kokanee) model links global demand and supply of three intertwined materials: cobalt (Co), copper (Cu) and nickel (Ni), in a simulation market model with explicit consideration of electric vehicle (EV) and battery scenarios. By incorporating feedback between supply, demand, prices and capacity expansion, we quantify realistic production scenarios for both primary (mining) and secondary (recycling) sources.
Lithium Supply Analysis Model (LISA)
This model was developed to assess the viability of U.S. lithium supply from geothermal brine and the potential supply chain impact of extracting lithium from this source. This model links global lithium demand and supply considering different electric vehicle (EV) demand scenarios.
