Lambda Sensor Modeling
Detailed narrow and wide band oxygen sensor models for accurate air-fuel ratio feedback.
GT-xCHEM is an exhaust aftertreatment and chemical systems add-on for
GT-SUITE with extensive capabilities for emissions reduction and clean technology solutions
Product Overview
What is GT-xCHEM?
GT-xCHEM unifies the best-in-class capabilities of exothermia suite and GT-SUITE for exhaust aftertreatment and chemical systems solutions and delivers new capabilities essential for the development of regulatory compliant emissions systems. In addition, it supports expansion into chemical systems applications related to the mobility and stationary power industries such as fuel reformers for hydrogen fuel cells, CO2 capture and storage, and other chemical processing applications.
Exhaust Aftertreatment Modeling at its Core
GT-xCHEM for Exhaust Aftertreatment Modeling
GT-xCHEM builds upon a long tradition of exhaust aftertreatment modeling with GT-SUITE including the following highlights:
- Predictive tailpipe emissions with or without integrating with engine, vehicle, controls, etc.
- Design aftertreatment system components (catalyst sizing, washcoat loading, topologies, etc.)
- Can be used for control system development for fuel dosing, urea injection, warmup strategies
- Ideal for drive cycle simulations, real driving emissions (RDE), and real world emissions (route)
- Highly flexible and intuitive user interface for reaction mechanism development
- State-of-the-art mechanisms and validation results for many catalysts and particulate filters
- Fast quasi-2D/3D modeling capability developed from the successful 1D solution
EVAP & Carbon Canister Modeling
OPTIMIZE HYDROCARBON CAPTURE
GT-xCHEM simulation software includes advanced solvers and components for modeling the entire Evaporative Emission Control System (EVAP), including the flow network, carbon canister, and canister purge valve (CPV). An activated carbon canister is used to capture hydrocarbon vapor emissions from the fuel tank as part of an EVAP system. The user has full control over defining the heterogeneous reaction mechanism for modeling the hydrocarbon adsorption and desorption in the carbon canister. There is increasing interest in optimizing the carbon canister size for hydrocarbon storage, and optimizing the CPV control strategy, especially for turbocharged gasoline direct injection (GDI) engines and hybrid electric vehicles (HEV/PHEV).
GT-xCHEM allows you to evaluate how a purge event affects engine performance and emissions. You can also choose when and where to purge during a drive cycle, for example, in an intake manifold under vacuum conditions or upstream of the compressor during boosted conditions. EVAP system components can be modeled in isolation or together with vehicle, engine, thermal management, and control systems, making this tool uniquely suitable for system level optimization and collaborative engineering.
Chemical Systems Modeling
Research & Development for Future Applications
The reactor modeling capabilities of GT-xCHEM are adaptable to accommodate research and development of new clean technologies:
- Fuel reformers and cracking catalysts for producing hydrogen for fuel cells and H2 ICEs
- Synthesis of carbon neutral fuels
- CO2 capture and storage
- Pipe corrosion modeling including passivation layer
- Separation of gases and liquids by membranes
- Packed bed absorption column
- Redox flow battery for clean energy storage
- Catalyzed heat exchanger models
Advanced Features
Precision Where It Counts
In addition to standard exhaust aftertreatment, evaporative emissions, and reformer modeling features, GT-xCHEM offers the following features:
NOx Sensor Modeling
Detailed sensor model for predicting NOx concentration and emissions feedback.
Electrically Heated Catalyst
EHC model with peripheral electrodes for fast catalyst light-off simulation.
1D Droplet Tracking
Models droplet evaporation and impingement for urea injection and fuel dosing.
Structured Symmetry Meshing
Structured mesh with symmetry option to cut computation time.
Reduced-Order Modeling
Reduced-order models for faster simulation of complex chemical and aftertreatment systems while maintaining engineering accuracy.
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