TABLE 1

Battery Recycling & Supply Chain Tool

EVERBAT - is an Excel-based Battery Recycling Process and Supply Chain Model.

TABLE 2

Industry Standardized Manufacturing & Design Technoeconomic Tool

BATPAC - A Spreadsheet Tool to Design a Lithium Ion Battery and related Technologies and Estimate Its Production Cost.

TABLE 3

Models for Efficient Electrolyte Optimization

Advanced Electrolyte Model - electrolyte optimization and transport property determination. Ability to reduce the time needed to optimize systems. 

TABLE 4

Life Cycle Modeling

CellSage - Battery Life Cycle Modeling.

TABLE 5

BTMS Design to Accommodate EV Charging

NREL's EVI-EDGES Model configures optimal, cost-effective behind-the-meter-storage (BTMS) and distributed generation systems based on the climate, building type, and utility rate structure of potential electric vehicle (EV) charging sites.

TABLE 6

TEA System Design including ESS

The REopt® techno-economic decision support platform is used by NREL researchers to optimize energy systems for buildings, campuses, communities, microgrids, and more. REopt identifies the optimal mix of renewable energy, conventional generation, storage, and electrification technologies to meet cost savings, resilience, emissions reductions, and energy performance goals.

TABLE 7

Battery Manufacturing Facility (BMF)

The BMF offers the ability to integrate any component into a complete battery and analyze how well it works and how it can be improved. The center can produce pouch cells of up to 66 × 99 × 12 mm and 7 Ah, large enough to make market decisions yet small enough to affordably demonstrate the impact of innovative technologies.

TABLE 8

Software Testbed Platform

Control and Optimization using Distributed Agent-based System (CODAS) resource integration software test bed platform, which integrates ORNL-developed hardware and software with controls, communications, and protection.

TABLE 9

Hardware Design for Safety

Hardware design tool for improved energy storage system safety

TABLE 10

ESS Optimization Tool

The Energy Storage Evaluation Tool (ESETTM) is a suite of applications that enable utilities, regulators, vendors, and researchers to model, optimize, and evaluate various energy storage systems (ESS). The tool examines a broad range of use cases and grid applications to maximize ESS benefits from stacked value streams. A subset of capabilities is made available in the web-based ESETTM in the form of 5 applications.

TABLE 11

Unified Platform for ES analytics

An open-source Python software designed for energy storage (ES) analytics. It transforms into a platform providing centralized access to multiple tools and improved data analytics, aiming to simplify ES analysis and democratize access to these tools.

TABLE 12

ESS Project Support

Technical assistance with any phase of the project (e.g., identification of value streams, system design, system procurement, commissioning, etc.)

TABLE 13

High Precision Materials Characterization Tool

The Stanford Synchrotron Radiation Lightsource (SSRL), a Directorate of the SLAC National Accelerator Laboratory (SLAC), is an Office of Science User Facility operated for the U.S. Department of Energy (DOE) by Stanford University. SSRL's extremely bright x-rays are a resource for academic and industrial researchers to study materials and systems with advanced instruments beyond the capabilities of benchtop-based equipment. The SSRL facility currently includes 31 end-stations on 25 simultaneously operating beam lines. 

TABLE 14

Physics Based Modeling

An Electrochemical Model-Based Software for Battery Simulation and Parameter Optimization for control applications.