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Outline

    ●  Challenges faced by today’s combustor designers
    ●  Alternative strategies available to address the
       challenges
    ●  Announcing Energico
    ●  Summary




2
RD software enables “virtual” experimentation
    ●  RD’s 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




3
The Combustor Designer’s 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



4
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
                                           International Civil Aviation Organization NOx Limits
    ●  Fuel Flexibility
                                                                                               2003

       –  Alternative Fuels                                                                    2006
                                                                                               2009

       –  Opportunity Fuels                                                                    2012 (Proposed)


       –  Biofuels for carbon
          dioxide (CO2) reduction
                                                               Certification Test Data

                                                                               (Engine Size)

                                    Source: ICAO Colloquium on Aviation Emissions, May, 2007

5
While Testing Costs Keep Going Up

          Example: 250 MW Turbine




6
Diverse Fuel Sources Add Risk to Design

    ●  Syngas from Integrated
       Gasification Combined Cycle
       (IGCC)
    ●  Opportunity Fuels                  Syngas and Fischer-Tropsch

       –  Blast Furnace Gas
       –  Landfill Gas
    ●  Coal-derived, F-T fuels
    ●  Bio-fuels                                  Bio-Diesel
       –  High in methyl esters
       –  Sources differ regionally and
          are changing
    ●  Oil-sand derived fuels
       –  High in aromatics                Biomass and Waste Fuels
7
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

8
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




9
Detailed Chemistry Drives Accurate
     Simulation
 ●  Traditional CFD and empirical approaches do not
    accurately predict emissions and stability

           NOx
                 NOx           Measured




                                          Measured




                  NOx    NOx        NOx              NOx    NOx      NOx



       NOx Under Predicted by CFD         CO Over Predicted by CFD


10
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




12
Equivalent Reactor Networks (ERNs) are
Being Used to Abstract the Chemistry
                                        Air


                                        Flame

              Air        Mixing   Recirculation
                                                        Post-flame
      Pre-mixed
      Fuel + Air

                                                                 Equivalent
                                                                 Reactor Network




             Benefits of ERNs                             Drawbacks of ERNs
     •  ERNs use detailed chemistry               •  Can takes expert >1 month
       to accurately simulate                       to create by hand
       pollutant emissions                        •  Difficult to map results back
     •  ERNs can identify regions                   onto combustor geometry
       where emissions are formed

13
Energico Adds Chemistry to the Design
Flow
     3-D CFD Solution




                        Automatically
                         create ERN




Map chemistry
results onto                            Map chemistry
geometry view                           results onto
                                        geometry view




14
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
15
“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
16
Viewing ERN Results on Combustor
Geometry Facilitates Design Modifications
                            NOx Production
      Identify where NOx
     emissions are formed




      CO Concentrations


                              Identify where CO
                            emissions are quenched



17
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


18
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
19
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”


20
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




21
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”

22
Sample Energico Validation Results



        Class of Combustor                          NO         CO
                                    Fuel Type
        (all CO less than 10ppm)                  Variance   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




23
Current Industry Concerns

                Combustor                 Sustainable
                designs are                   fuels
                 becoming                  introduce
               more complex               combustion
                                          uncertainty
                           Mechanisms
                           become more
                            detailed to
                              capture
                             required
                              effects




              n
              ENERGICO: Revolutionary Simulation Package




     •  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
24
ENERGICO: A Revolutionary Software Design Tool for Gas Turbine Combustor and Burners

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ENERGICO: A Revolutionary Software Design Tool for Gas Turbine Combustor and Burners

  • 1.
  • 2. Outline ●  Challenges faced by today’s combustor designers ●  Alternative strategies available to address the challenges ●  Announcing Energico ●  Summary 2
  • 3. RD software enables “virtual” experimentation ●  RD’s 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 3
  • 4. The Combustor Designer’s 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 4
  • 5. 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 International Civil Aviation Organization NOx Limits ●  Fuel Flexibility 2003 –  Alternative Fuels 2006 2009 –  Opportunity Fuels 2012 (Proposed) –  Biofuels for carbon dioxide (CO2) reduction Certification Test Data (Engine Size) Source: ICAO Colloquium on Aviation Emissions, May, 2007 5
  • 6. While Testing Costs Keep Going Up Example: 250 MW Turbine 6
  • 7. Diverse Fuel Sources Add Risk to Design ●  Syngas from Integrated Gasification Combined Cycle (IGCC) ●  Opportunity Fuels Syngas and Fischer-Tropsch –  Blast Furnace Gas –  Landfill Gas ●  Coal-derived, F-T fuels ●  Bio-fuels Bio-Diesel –  High in methyl esters –  Sources differ regionally and are changing ●  Oil-sand derived fuels –  High in aromatics Biomass and Waste Fuels 7
  • 8. 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 8
  • 9. 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 9
  • 10. Detailed Chemistry Drives Accurate Simulation ●  Traditional CFD and empirical approaches do not accurately predict emissions and stability NOx NOx Measured Measured NOx NOx NOx NOx NOx NOx NOx Under Predicted by CFD CO Over Predicted by CFD 10
  • 11.
  • 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 12
  • 13. Equivalent Reactor Networks (ERNs) are Being Used to Abstract the Chemistry Air Flame Air Mixing Recirculation Post-flame Pre-mixed Fuel + Air Equivalent Reactor Network Benefits of ERNs Drawbacks of ERNs •  ERNs use detailed chemistry •  Can takes expert >1 month to accurately simulate to create by hand pollutant emissions •  Difficult to map results back •  ERNs can identify regions onto combustor geometry where emissions are formed 13
  • 14. Energico Adds Chemistry to the Design Flow 3-D CFD Solution Automatically create ERN Map chemistry results onto Map chemistry geometry view results onto geometry view 14
  • 15. 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 15
  • 16. “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 16
  • 17. Viewing ERN Results on Combustor Geometry Facilitates Design Modifications NOx Production Identify where NOx emissions are formed CO Concentrations Identify where CO emissions are quenched 17
  • 18. 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 18
  • 19. 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 19
  • 20. 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” 20
  • 21. 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 21
  • 22. 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” 22
  • 23. Sample Energico Validation Results Class of Combustor NO CO Fuel Type (all CO less than 10ppm) Variance 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 23
  • 24. Current Industry Concerns Combustor Sustainable designs are fuels becoming introduce more complex combustion uncertainty Mechanisms become more detailed to capture required effects n ENERGICO: Revolutionary Simulation Package •  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 24