Energy Storage, Power Chain Resilience & Grid Interfacing

Comprehensive Battery Energy Storage Simulation and UPS in One Environment

Energy storage systems are essential to data center uptime, resilience, and operational continuity. Uninterruptible Power Supply (UPS) units serve as the first line of defense during grid disturbances, maintaining seamless power until generators or alternate sources engage.

Beyond backup, modern UPS and Battery Energy Storage Systems (BESS) are key to load management, peak shaving, and renewable integration, enabling stable and sustainable power operations.

GT-SUITE provides a comprehensive multi-physics environment for modeling these systems to ensure proper sizing, thermal management, lifetime, and safety of ESS, as well as UPS power chain resilience, and grid interfacing and power quality.

Integrated with thermal management, inverter, and power conversion models, GT-SUITE allows engineers to evaluate techno-economic feasibility, optimize control strategies, and design resilient, efficient, and future-ready energy storage solutions.

Highlights

Use physics-based models for any kind of energy storage system
Evaluate aging, degradation, thermal management, and safety of lithium-ion battery energy storage systems (BESS).
Achieve millisecond-level switching performance for uptime protection
Optimize control strategies for renewable energy integration and grid connectivity

Impact

Unmatched Resilience & Power Continuity

Effectively reduce CAPEX and OPEX

Enhanced Safety & Lifespan

Sustainable Power Operations

Energy Storage Design

Accurately size and design ESS for high-energy (islanding time, diurnal shifting) and high-power (fast charging/discharging, transient response) requirements. GT enables physics-based sizing and design of ESS and hybrid ESS using any combination of:

Lithium-ion, Lead-acid, and other batteries
Flow batteries
Supercapacitors
H2 Storage
Flywheels
Pumped-storage hydropower

A combined generator–solar setup showcasing the essential electronics behind reliable power.

Power Chain Resilience & Transient Analysis

Ensure zero-downtime resilience for critical loads like data centers.

UPS/Generator Transfer:

Simulate the rapid, multi-stage transition of the load from the utility grid to the Uninterruptible Power Supplies (UPS), and then to backup generators. Analyze transients to eliminate voltage sags or interruptions that could crash servers.

Protection Coordination:

Test and confirm the selectivity and speed of protective devices (fuses, circuit breakers) throughout the power chain.

Battery System Performance, Lifetime Analysis, and Safety

Leverage our industry-leading cell-to-system modeling capabilities to maximize battery life and ensure safety.

Degradation & Lifetime Analysis:

Predict years of operation in hours using GT-AutoLion's fast-running, physics-based degradation models. Optimize ESS dispatch strategies (e.g., ramp rate control, diurnal cycling) to maximize battery lifespan.

Thermal Management:

Couple GT-AutoLion models with advanced thermo-fluids systems for precise pack-level Battery Thermal Management System design and analysis.

Safety (Thermal Runaway Propagation):

Virtually simulate thermal runaway propagation to test if a single cell failure can propagate to adjacent cells, significantly reducing the need for expensive destructive safety tests.

Grid Interfacing & Power Quality

Design robust power electronics and control systems for seamless and high-quality grid interaction.

Frequency Regulation & Stability:

Calibrate control systems for frequency regulation and voltage support (reactive power), ensuring reliable stability and seamless grid-forming capability during islanding.

Harmonic Filtering:

Use GT-PowerForge to size and design highly effective harmonic filters, maintaining superior power quality and reducing Total Harmonic Distortion (THD) to prevent equipment damage.

Integration with Renewables

Design datacenter microgrids with sustainable energy sources.

Manage Diurnal Cycles:

Use fast-running simulations for full day operations to size and simulate energy storage systems for realistic renewable energy sources - storing excess energy from solar and wind when generation is high and discharging it when generation drops.

Optimize Ramp Rate Control:

Evaluate your energy storage system’s ability to quickly adjust from charging and discharging to manage sudden fluctuations in renewable generation (e.g. a cloud passing over a solar farm).