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  • 2

    Outline

    Challenges faced by todays combustor designers Alternative strategies available to address the

    challenges

    Announcing Energico Summary

  • 3

    RD software enables virtual experimentation RDs software allows designers to visualize the effects of

    chemistry on their engine designs Chemistry simulation can help determine key parameters that

    can affect efficiency and emissions Exclusive developer and licensor of CHEMKIN

  • 4

    The Combustor Designers Dilemma

    Cost of Experiments Mechanism Size CFD Complexity Cost of Design Mistakes Design Complexity Fuel Options

    Emissions Regulations Fuel Consumption Design Cycle Time Design Resources

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    Global Issues Driving Change

    Low Emissions Regulations ICAO limits on nitrogen oxide (NOx), carbon monoxide (CO)

    and Unburned Hydrocarbons New Soot/Particulate emissions regulations for commercial

    aircraft in airports Fuel Flexibility

    Alternative Fuels Opportunity Fuels Biofuels for carbon

    dioxide (CO2) reduction

    International Civil Aviation Organization NOx Limits

    2012 (Proposed)

    2009

    2006 2003

    Certification Test Data

    (Engine Size)

    Source: ICAO Colloquium on Aviation Emissions, May, 2007

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    While Testing Costs Keep Going Up

    Example: 250 MW Turbine

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    Syngas from Integrated Gasification Combined Cycle (IGCC)

    Opportunity Fuels Blast Furnace Gas Landfill Gas

    Coal-derived, F-T fuels Bio-fuels

    High in methyl esters Sources differ regionally and

    are changing Oil-sand derived fuels

    High in aromatics

    Diverse Fuel Sources Add Risk to Design

    Syngas and Fischer-Tropsch

    Bio-Diesel

    Biomass and Waste Fuels

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    Design Changes Introduce Risk to Combustor Stability Lean-premixed combustion with low

    flame temperature slows burn rates Lean Blow Off (LBO) when mixing

    overpowers burning Flashback in premixed systems when

    flow velocity is less than flame velocity Ignition more difficult with lean mixtures

    Opportunity fuels can have inconsistent composition and flow rate Fuel composition impacts stability Combustor experiences transient conditions

    with rapid load changes

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    Today, Designers Use CFD and Extensive Physical Testing

    Computational Fluid Dynamics Geometry resolution 3-D flow field representation Accurate prediction of mass flows Accurate heat transfer Simplified chemistry

    Performance and emission requirements drive combustor testing 10-20 tests per typical combustor design $50k-200k per test in a physical prototype

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    Detailed Chemistry Drives Accurate Simulation Traditional CFD and empirical approaches do not

    accurately predict emissions and stability

    NOx Under Predicted by CFD CO Over Predicted by CFD

    Measured

    Measured

    NOx NOx

    NOx NOx NOx NOx NOx NOx

  • 12

    Designers Say They Need:

    Fewer, better directed experiments

    The ability to simulate conditions that cannot be experimentally tested

    A way to complete rapid evaluations of fuel and operating condition effects

    An accurate applications engineering tool for combustion stability assessment

  • 13

    Equivalent Reactor Networks (ERNs) are Being Used to Abstract the Chemistry

    Air Pre-mixed Fuel + Air

    Mixing

    Flame

    Recirculation Post-flame

    Equivalent Reactor Network

    Air

    Benefits of ERNs ERNs use detailed chemistry to accurately simulate pollutant emissions ERNs can identify regions where emissions are formed

    Drawbacks of ERNs Can takes expert >1 month to create by hand Difficult to map results back onto combustor geometry

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    Energico Adds Chemistry to the Design Flow

    3-D CFD Solution

    Automatically create ERN

    Map chemistry results onto geometry view

    Map chemistry results onto geometry view

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    Combustor Flow Field Automatically Divided Into Zones

    Zone creation algorithm eliminates manual analysis and errors

    Designer can easily adjust and refine the algorithm to capture flow/flame structures

    Energico accurately tracks all flows to stitch together the zones into an ERN

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    Instant Equivalent Reactor Networks

    Automation supports commercial design timelines Creates ERNs in minutes rather than months Enables widespread use by combustor designers

    Accurately follows specific set of rules Correct-by-Construction

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    Viewing ERN Results on Combustor Geometry Facilitates Design Modifications

    NOx Production

    CO Concentrations

    Identify where NOx emissions are formed

    Identify where CO emissions are quenched

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    Assess Lean Blow Off (LBO)

    Capture the flame Conduct detailed

    chemistry analysis locally in flame Chemistry rate from

    reaction mechanism Mixing rate from CFD

    Determine how close flame is to LBO

    Visualize flame within geometry to guide design modifications

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    Energico has Completed a Rigorous Validation Program on Real Turbine Designs RD conducted extensive internal benchmarking with

    designs supplied from industry prior to release Three major gas turbine manufacturers involved in

    Program Mitsubishi Heavy Industries Kawasaki Heavy Industries Large United States manufacturer

    Over 60% of power generation gas turbine market represented by validators

    Program included validation of Energico on well understood designs Emissions predictions Lean Blow Off assessments

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    Mitsubishi Heavy Industries

    MHI is the largest gas turbine manufacturer in Japan

    Energico Validation Summary: Energico predicted emissions well

    within a 5% margin on natural gas Test cases on 25ppm NOx and less than 10ppm NOx cases Focused LBO testing on both fundamental experiments and

    large scale combustor tests MHI Turbine Business Division Manager:

    Energico can help MHI reduce costly and time consuming experimental testing

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    Kawasaki Heavy Industries

    Mid-size engine range up to 25MW Energico Validation Summary:

    Test cases focused on a parametric variation of fuel/air ratio in production combustor

    Emissions of NOx and CO predicted within 5% of experimental data

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    US-based Gas Turbine Manufacturer

    50MW to 400MW turbine systems Energico Validation Results:

    Compared emissions results from experiments to Energico

    Emissions for NOx and CO within 1ppm of experimental data

    Fuel impacts on emissions predicted (syngas from IGCC)

    LBO tool provides new data for effective simulation Team Leader, Combustor Simulation:

    Energico is clearly superior to CFD for accurate emissions results

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    Sample Energico Validation Results

    Class of Combustor (all CO less than 10ppm) Fuel Type

    NO Variance

    CO Variance

    10MW Less than 10ppm NOx Natural Gas 1ppm 2ppm

    25MW 25ppm NOx Natural Gas 2ppm 2ppm

    250MW Less than 10ppm NOx Natural Gas 1ppm 2ppm

    250MW 25ppm NOx Natural Gas 2ppm 2ppm

    250MW 25ppm NOx Syngas 2ppm 2ppm

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    ENERGICO: Revolutionary Simulation Package

    Mechanisms become more

    detailed to capture required effects

    Combustor designs are becoming

    more complex

    Sustainable fuels

    introduce combustion uncertainty

    Mechanisms become more

    detailed to capture required effects

    Mechanisms become more

    Combustor designs are becoming

    more complexmore complex

    Mechanisms become more

    Sustainable fuels

    introduce combustion combustion uncertaintyuncertaintyuncertaintyuncertainty

    Current Industry Concerns

    Reduced Need for Physical Engine Testing Ability to take Advantage of Opportunity Fuels Increased Speed-to-Market for New Designs Reduced Field Failures with Capability to Accurately Simulate Emissions and LBO

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