Flow Field Derived Equivalent Reactor Networks for Accurate Chemistry Simulation in Gas Turbine Combustors

Drennan, Scott A.; Chou, Chen-Pang; Shelburn, Anthony; Hodgson, Devin; Wang, Cheng; Naik, Chitralkumar V.; Meeks, Ellen; Karim, Hasan

doi:10.1115/gt2009-59861

Cited by 6 publications

(4 citation statements)

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“…CRN analysis can also use PSR energy equations to calculate reactor temperatures but at greater computational expense. Most of the CFD–CRN work presented in the literature use reactor-creation criteria based on the temperature and stoichiometry (i.e., local equivalence ratio or mixture fraction) and generally show good accuracy in predicting NO x concentrations at the combustor exit when the CFD solution accurately describes the temperature field. − …”

Section: Introductionmentioning

confidence: 99%

Detailed Multi-dimensional Study of Pollutant Formation in a Methane Diffusion Flame

et al. 2012

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This paper describes a method to produce chemical reactor networks (CRNs) consisting of large numbers of\ud perfectly stirred reactors (PSRs) from computational fluid dynamics (CFD) simulations to predict pollutant emissions from\ud combustion systems accurately, flexibly, and efficiently using detailed kinetic schemes and the kinetic post-processor (KPP)\ud developed at Politecnico di Milano. Benefits of the method described here include its applicability to a wide range of combustion systems, its ability to predict emissions of a variety of pollutant species, and its speed. CFD and CFD−CRN simulation results of the Sandia D piloted methane−air diffusion round-jet flame are successfully validated against experimental data for axial velocity, mixture fraction, temperature, and speciation, including CO and NO mass fractions. A CRN consisting of a large number of PSRs is found to be required to simulate the system accurately, while ensuring independence of the solution from CRN size. The results of CFD−CRN analysis for a 1114 PSR network are used to study the pathways (thermal, prompt, N2O, and NO2) by which NO and NO2, the constituents of NOx, are formed in the flame. Results of CFD−CRN analysis show that NO is produced\ud in the high-temperature (T > 1850 K) flame brush by a combination of the prompt, N2O, and thermal pathways and in the intermediate-temperature (1000 < T < 1600 K) post-flame region by a reversal of the NO2 pathway. NO is consumed in the fuelrich (mixture fraction, f > 0.43) region, where a low O atom concentration encourages a reversal of the prompt pathway (i.e., NO reburning), and in low-temperature (T < 1000 K) regions by the NO2 pathway, which oxidizes NO to NO2. Rate of production\ud analysis, performed using CHEMKIN PRO at specified locations throughout the flame, shows that the trends of NO production\ud and consumption observed in these simulations agree with expected and published results. Finally, the study predicts that, of the total NOx produced by the Sandia D flame, 47% is due to the prompt pathway, 32% is due to the N2O pathway, and 21% is due\ud to the thermal pathway. As future steps in this work, the CFD−CRN method will be adapted and used to predict and study\ud emissions from a range of more complex combustion systems

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Section: Introductionmentioning

confidence: 99%

Detailed Multi-dimensional Study of Pollutant Formation in a Methane Diffusion Flame

et al. 2012

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“…During the past decades, the development of CRNs has improved significantly with the aid of CFD codes, which provide extensive information on turbulent mixing and residence time distribution of the complex reactive flow (Novosselov and Malte, 2008;van der Lans et al, 1997;Drennan et al, 2009), allowing for the development of CFDto-CRN algorithms (Falcitelli et al, 2002a, Fichet et al, 2010. In these approaches, the flow field structure is determined by various flow field characteristics and also flame parameters (Novosselov et al, 2006;Falcitelli et al, 2002a).…”

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

A review on the applications of the chemical reactor network approach on the prediction of pollutant emissions

Khodayari

Ommi

Saboohi

2020

AEAT

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Purpose The purpose of this paper is to review the applications of the chemical reactor network (CRN) approach for modeling the combustion in gas turbine combustors and classify the CRN construction methods that have been frequently used by researchers. Design/methodology/approach This paper initiates with introducing the CRN approach as a practical tool for precisely predicting the species concentrations in the combustion process with lower computational costs. The structure of the CRN and its elements as the ideal reactors are reviewed in recent studies. Flow field modeling has been identified as the most important input for constructing the CRNs; thus, the flow field modeling methods have been extensively reviewed in previous studies. Network approach, component modeling approach and computational fluid dynamics (CFD), as the main flow field modeling methods, are investigated with a focus on the CRN applications. Then, the CRN construction approaches are reviewed and categorized based on extracting the flow field required data. Finally, the most used kinetics and CRN solvers are reviewed and reported in this paper. Findings It is concluded that the CRN approach can be a useful tool in the entire process of combustion chamber design. One-dimensional and quasi-dimensional methods of flow field modeling are used in the construction of the simple CRNs without detailed geometry data. This approach requires fewer requirements and is used in the initial combustor designing process. In recent years, using the CFD approach in the construction of CRNs has been increased. The flow field results of the CFD codes processed to create the homogeneous regions based on construction criteria. Over the past years, several practical algorithms have been proposed to automatically extract reactor networks from CFD results. These algorithms have been developed to identify homogeneous regions with a high resolution based on the splitting criteria. Originality/value This paper reviews the various flow modeling methods used in the construction of the CRNs, along with an overview of the studies carried out in this field. Also, the usual approaches for creating a CRN and the most significant achievements in this field are addressed in detail.

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“…A CRN application on lean-premixed burners and two phase combustion inside wood dust burners was performed by Novosselov [23]. Other efforts utilizing CRN networks can be found in the literature [24][25][26][27]. Gas turbine combustors are also widely investigated by numerical methods; similar combustor modelling efforts are also available in the literature [28,29].…”

Section: Reactor Networkmentioning

confidence: 99%

A coupled flow and chemical reactor network model for predicting gas turbine combustor performance

Hataysal

Yozgatlıgil

2020

THERM SCI

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Gas turbine combustor performance was explored by utilizing a 1-D flow network model. To obtain the preliminary performance of combustion chamber, three different flow network solvers were coupled with a chemical reactor network scheme. These flow solvers were developed via simplified, segregated and direct solutions of the nodal equations. Flow models were utilized to predict the flow field, pressure, density and temperature distribution inside the chamber network. The network model followed a segregated flow and chemical network scheme, and could supply information about the pressure drop, nodal pressure, average temperature, species distribution, and flow split. For the verification of the model's results, analyses were performed using CFD on a seven-stage annular test combustor from TUSAS Engine Industries, and the results were then compared with actual performance tests of the combustor. The results showed that the preliminary performance predictor code accurately estimated the flow distribution. Pressure distribution was also consistent with the CFD results, but with varying levels of conformity. The same was true for the average temperature predictions of the inner combustor at the dilution and exit zones. However, the reactor network predicted higher elemental temperatures at the entry zones.

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Flow Field Derived Equivalent Reactor Networks for Accurate Chemistry Simulation in Gas Turbine Combustors

Cited by 6 publications

References 0 publications

Detailed Multi-dimensional Study of Pollutant Formation in a Methane Diffusion Flame

Detailed Multi-dimensional Study of Pollutant Formation in a Methane Diffusion Flame

A review on the applications of the chemical reactor network approach on the prediction of pollutant emissions

A coupled flow and chemical reactor network model for predicting gas turbine combustor performance

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