The EMICOPTER (Clean Sky - GA-2009-1261 251798) project developed specific tools for the predictive estimation of the emissions from helicopter engines. In this document this effective and predictive methodology for the prediction of NOx in turbulent non-premixed flames by using computational fluid dynamics (CFD) and detailed chemical kinetics is presented and discussed. The proposed approach is based on the use of CFD simulations associated with a modeling technique belonging to the general concept of “Reactor Network Analysis”: the Kinetic Post Processor (KPPSMOKE). During the activity several outcomes were generated. A detailed mechanism for the surrogates of jet fuels was proposed and validated. A specific technique for the detailed kinetic scheme reduction to skeletal or global model suitable for CFD simulations was developed. A parallel version of the KPPCODE code for postprocessing the thermal and flow fields of the CFD simulations together with a detailed chemistry was also developed. All these tools were applied for the prediction of the pollutant emissions from a helicopter engine. The specific model used in the current research is the Roll-Royce (Allison) 250 C20 B gas turbine engine. A 3D combustor model (numerical grid) has been generated and the flow field solved adopting a RANS approach. Special attention was devoted to the modeling of the spray and the turbulence-chemistry interactions. We used the kinetic post-processor (KPPSMOKE) [1], whose parallel version has been developed during the EMICOPTER project, to evaluate the NOx predictions from the RR-Allison 250. Soot formation was also estimated, adopting simple but reliable models for describing the nucleation, growth, coagulation and oxidation of soot particles. A summary of the results obtained during the project is presented in this document. Further details are contained inside the project reports and deliverables. The comparison with measured NOx emissions and temperature data showed that the model is able to correctly characterize the combustor exit temperature and emissions as a function of engine power.

CFD simulation and emission estimation from helicopter engines

FRASSOLDATI, ALESSIO;CUOCI, ALBERTO;FARAVELLI, TIZIANO;RANZI, ELISEO MARIA
2014-01-01

Abstract

The EMICOPTER (Clean Sky - GA-2009-1261 251798) project developed specific tools for the predictive estimation of the emissions from helicopter engines. In this document this effective and predictive methodology for the prediction of NOx in turbulent non-premixed flames by using computational fluid dynamics (CFD) and detailed chemical kinetics is presented and discussed. The proposed approach is based on the use of CFD simulations associated with a modeling technique belonging to the general concept of “Reactor Network Analysis”: the Kinetic Post Processor (KPPSMOKE). During the activity several outcomes were generated. A detailed mechanism for the surrogates of jet fuels was proposed and validated. A specific technique for the detailed kinetic scheme reduction to skeletal or global model suitable for CFD simulations was developed. A parallel version of the KPPCODE code for postprocessing the thermal and flow fields of the CFD simulations together with a detailed chemistry was also developed. All these tools were applied for the prediction of the pollutant emissions from a helicopter engine. The specific model used in the current research is the Roll-Royce (Allison) 250 C20 B gas turbine engine. A 3D combustor model (numerical grid) has been generated and the flow field solved adopting a RANS approach. Special attention was devoted to the modeling of the spray and the turbulence-chemistry interactions. We used the kinetic post-processor (KPPSMOKE) [1], whose parallel version has been developed during the EMICOPTER project, to evaluate the NOx predictions from the RR-Allison 250. Soot formation was also estimated, adopting simple but reliable models for describing the nucleation, growth, coagulation and oxidation of soot particles. A summary of the results obtained during the project is presented in this document. Further details are contained inside the project reports and deliverables. The comparison with measured NOx emissions and temperature data showed that the model is able to correctly characterize the combustor exit temperature and emissions as a function of engine power.
2014
International Conference on Greener Aviation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/794118
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