EES Annual Seminar 11.3.2013

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Transcript EES Annual Seminar 11.3.2013

EES Annual Seminar
11.3.2013
Innopoli 1, Otaniemi, Espoo
Progress Report
Georgios Kanellis
EES Annual Seminar 11.3.2013
Contents of the presentation
• About the PhD
• Working in the 1st year
• Goals for the 2nd year
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EES Annual Seminar 11.3.2013
About the PhD
–Title: “Optimization Methods with CFD in Two Biomass-Based Boiler
Environments”
–The aim is to optimize (~minimize) nitric oxide (NO) and ammonium (NH3)
as well as carbon monoxide (CO) emissions both in bubbling fluidized bed
(BFB) and in kraft recovery (KR) boilers environments.
–The design variables are:
the amounts of the NH3 feeds
amounts and locations of air feeds
–The use of computational fluid dynamics (CFD) together with
mathematical optimization algorithms, i.e. multiobjective optimization, is
the main principle to reach the goal.
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EES Annual Seminar 11.3.2013
The two boilers
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EES Annual Seminar 11.3.2013
Working in the 1st year
• Run of the BFBB case using ANSYS FLUENT in parallel.
FLUENT
Temperature field inside the
Boiler (K)
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EES Annual Seminar 11.3.2013
• NOx Modeling
exp
•
•
•
Duo Model for the SNCR,EDCM Model
for chemistry-turbulence interaction.
Brink - Duo Model for the SNCR, EDCM
Model for chemistry-turbulence
interaction.
Brink - Duo Model for the SNCR, EDC
Model for chemistry-turbulence
interaction.
NO mol fraction
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EES Annual Seminar 11.3.2013
exp
•
•
•
Duo Model for the SNCR,EDCM Model
for chemistry-turbulence interaction.
Brink - Duo Model for the SNCR, EDCM
Model for chemistry-turbulence
interaction.
Brink - Duo Model for the SNCR, EDC
Model for chemistry-turbulence
interaction.
NH3 mol fraction
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EES Annual Seminar 11.3.2013
• Developing the OpenFOAM solver
 Begin from calculating simpler cases
 Solved the non – reactive, compressible flow
equations taking into consideration turbulence and
radiation.
 Used the typical SIMPLE velocity – pressure
coupling combined with the local time stepping
technique for accelerating convergence.
 Modeled the species properties (polynomial
approximation for Cp, κ, μ)
 Currently modeling the reactive flow.
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EES Annual Seminar 11.3.2013
• OpenFOAM results in comparison with FLUENT
Velocity Magnitude Field (m/s)
OpenFOAM
FLUENT
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EES Annual Seminar 11.3.2013
Turbulent Kinetic Energy K (m2/s2)
OpenFOAM
FLUENT
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EES Annual Seminar 11.3.2013
Turbulent Energy Dissipation Rate ε (m2/s3)
OpenFOAM
FLUENT
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EES Annual Seminar 11.3.2013
Goals for the 2nd year
• Complete the OpenFOAM solver for the BFBB.
• Implement EDC in OpenFOAM and use it for the
prediction of NOx .
• Predict accurately both the NO and ammonia emissions.
• Start the optimization process for the BFBB.
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