Clean Data Center Power

Future-Proof Data Center Power Procurement with GT-SUITE

Data Center projects often face a critical challenge: procuring generator equipment that meets performance, cost, and sustainability targets. Traditional trial-and-error approaches can lead to delays and costly missteps. GT-SUITE changes the game by enabling high-fidelity simulation of renewable technologies—solar cells, wind turbines, and fuel cells—before any hardware is purchased.

With GT-SUITE, you can evaluate system behavior under real-world conditions, compare design alternatives, and identify viable solutions early. This extends beyond generation to storage technologies such as advanced batteries, electrolysis systems, and flywheels, allowing you to optimize the entire energy ecosystem.

By simulating interactions across components, GT-SUITE helps you make informed procurement decisions, reduce risk, and accelerate deployment of clean energy solutions including assessment of emissions.

Highlights

High-fidelity and fast multi-physics simulation of solar, wind, and fuel-cell systems.
Integrated modeling of batteries, electrolyzers, flywheels,
hydrogen & thermal storage
Virtually test alternative fuels and blends for lower carbon intensity
Simulate aftertreatment systems (SCR, DPF, DOC, etc.) to meet emissions standards
Predictive analytics for performance forecasting and system degradation
Fast, safe exploration of hybrid-energy architectures and “what-if” scenarios

Impact

Accelerated Design Cycles

Avoid Costly Oversizing of Power Infrastructure

Risk Mitigation

Optimized CAPEX

Hydrogen Generation and Utilization

GT-SUITE enables detailed modeling of hydrogen production through electrolysis and its integration into fuel cell systems. Engineers can simulate thermal, electrical, and chemical dynamics to optimize efficiency, assess system durability, and evaluate utilization strategies for stationary and mobile applications. This approach reduces uncertainty in equipment selection and accelerates the transition to hydrogen-based energy solutions.

Solar and Wind Energy Production

From photovoltaic arrays to wind turbines, GT-SUITE provides high-fidelity simulation for renewable power generation under varying environmental conditions. Models capture aerodynamic, thermal, and electrical behavior, allowing engineers to explore design alternatives, predict performance, and optimize layouts before committing to hardware. This ensures reliable output and cost-effective deployment of solar and wind assets.

main-1-1024x597

GT-SUITE Multi-physics based modeling

GT-SUITE model of a Vanadium Redox Flow Battery

Energy Storage Systems

GT-SUITE extends beyond generation to advanced storage technologies, including batteries, electrolysis-based hydrogen storage, and flywheels. By simulating charge/discharge cycles, thermal management, and system interactions, engineers can validate storage capacity, efficiency, and lifecycle performance. This holistic approach supports grid stability and maximizes renewable energy utilization.

Multi-Scale Power & Emissions Capabilities

GT-SUITE provides multi-physics simulation tools that capture the full spectrum of data center power generation. Engineers can explore system behavior across scales and make confident design decisions before physical deployment and prototyping.

Engine & Hybrid Power Systems

Simulate reciprocating (IC) engines, gas turbines, and hybrid systems to analyze performance, fuel efficiency, and thermal behavior under real operating loads.

Fuel Flexibility & Carbon Impact

Virtually test conventional and hydrogen-enriched fuel strategies to reduce carbon intensity and evaluate compliance with sustainability goals

Engines

System-level simulation of engine architecture in GT-SUITE

Exhaust aftertreatment model

Emissions Control & Aftertreatment

Model full aftertreatment systems such as SCR, DPF, DOC, to predict NOx, CO, CO₂, and PM emissions, optimizing strategies for regulatory compliance and durability

Multi-Physics Power System Modeling

Integrate combustion and emissions modeling with thermal management simulation to investigate generator cold-start emissions.