Idaho National Laboratory Research Projects

CalderaFlex is an open-source platform for modeling, simulating, and optimizing flexible electrical loads such as EV charging, energy storage, and data centers within power system network models. It supports multi-period, network-constrained optimization and a modular architecture for adding new asset models and control algorithms.

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

ITreeForeCast is a user-extendable framework that models, simulates, and visualizes individual tree growth and carbon uptake on an annual basis to evaluate how forest management strategies affect carbon sequestration and recoverable wood products. The model is scalable and supports analysis across multiple geographic areas.

Automata is a reinforcement learning harness in which an AI agent analyzes a proposed mechanical design and trains, evaluates, and iterates on a specialized machine learning model to control the robotics platform autonomously. Resulting models are presented through a graphical interface for human-in-the-loop performance evaluation.

SPRINTS is a GPU-accelerated global optimization code for nonlinear, mixed-integer, quadratic, and integer programming problems. Built in PyTorch with CUDA support, it combines branch-and-bound with interval analysis to compute rigorous bounds and discard infeasible regions, enabling scalable, mathematically reliable parameter-space search.

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.

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.

PHOENIX designs, sizes, and estimates the cost of heat delivery systems for industrial nuclear heat applications, supporting fluids such as water, air, CO2, molten salt, and thermal oil across a wide range of temperatures and pressures. The code produces an optimized design, a level five cost estimate, and a levelized cost of heat.

This code performs Bayesian calibration of nuclear-graphite property models using hierarchical data integration and the Kennedy–O’Hagan framework to quantify model inadequacy and experimental variability.

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.