Idaho National Laboratory Research Projects

MOUSE is a tool for estimating microreactor costs by integrating design calculations and economic analysis. It evaluates the impact of technological changes and economic parameters on microreactor design and costs.

REBORN optimizes reverse logistics networks for EV battery reuse, repurposing, and recycling. It integrates geographic, economic, and facility data to identify cost-effective collection and processing locations at national to county scales.

PyRAPSS modifies PSS®E steady-state and dynamic power system models to represent hydropower generators at user-specified reservoir water levels. It updates maximum generation limits using two calculation methods, validates the modified model with a load flow, and outputs simulation-ready files.

ELSA is a Python-based utility suite built on the OpenMC API that streamlines the creation of materials, regions, and geometries for nuclear simulations. It enables modular, reusable submodels and efficient generation of complex 3D parametric geometries for reactor and radiation analysis.

A collection of tools and scripts used to communicate and emulate Electric Vehicle Communication Controllers (EVCC) and Supply Equipment Communication Controllers (SECC).

Tool to estimate the hydropower potential of a run of the river site.

DCAF is a financial engineering library for high-fidelity economic analysis of nuclear energy projects. It supports DCF, NPV, IRR, and LCOE modeling, financing, taxes and incentives (PTC, ITC, MACRS, custom incentives), and generates detailed financial projections and pro forma reports.

This code studies how electric vehicle batteries are recycled in the northeastern U.S. It looks at how households decide to buy EVs and how that affects used batteries. The results help predict battery recycling needs and plan where recycling centers should be built.

GBOpt is a Python package for creating, manipulating, and optimizing bicrystal grain boundary structures through configurable global optimization workflows. It uses a modular architecture, with separate modules for structure creation, manipulation, and optimization.

This code models how radioactive materials move out of TRISO nuclear fuel in a gas reactor. It tracks how these materials spread during normal use and accidents. The results help estimate radiation release and assess safety risks to workers and the public.