Data and Tools

NREL's computational applications—data, tools, and software—drive advancements across energy efficiency, transportation, power technologies, and the knowledge base to optimize energy systems.

Our applications aim to solve models of behavior and control of energy carriers. Technologies incorporate material and chemistry theory, inverse design, development of digital twins for mobility, and network systems understanding and control.

Below is a selected list of computational applications. Browse all NREL's data and tools.

By Type

Alphabetical Listing

AMAR: Adaptive Mesh and Algorithm Refinement Modeling

Artificial Intelligence/Machine Learning User Applications and Support Tools

Biomass Feedstock Conversion Interface Handling Computational Models

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

BUTTER: An Empirical Deep Learning Experimental Framework

Chemo-Mechanical Cathode Cracking

Energy Research and Forecasting Model

ExaWind Software Suite

G2Aero Software: Aerodynamic Shape Parametrization Using Separable Shape Tensors

Lithium-Ion Battery Chemo-Mechanical Cathode Cracking Model

MARBLES: Multi-Scale Adaptively Refined Boltzman Lattice Solver

Meshfree Degradation of Electrochemical Materials Modeling Framework

Mesoflow: Mesoscale Modeling Tool for Biomass Pyrolysis and Catalytic Upgrading Pele Software Suite

NMACFoam Software for Ultra-High-Pressure Reverse Osmosis Membrane and Module Design and Optimization

Pele Software Suite

PVade: Photovoltaic Aerodynamic Design Engineering Software

Questaal Software Suite

SPADES: Scalable Parallel Discrete Events Solvers

Virtual Engineering of Biofuels Software

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Last Updated June 2, 2025