A Design-Oriented Semi-Analytical Emissions Prediction Method for Gas Turbine Combustors

Fakhrtabatabaei³

2016

IJM

Section: Resultsmentioning

confidence: 69%

Development of an Augmented Conceptual Design Tool for Aircraft Gas Turbine Combustors

Fakhrtabatabaei³

2016

IJM

“…This approach is mostly applied in the preliminary design phase (conceptual), the initial steps of determining the chamber dimensions (Rezvani et al, 2009;Charest et al, 2006) and in the analysis of the combustor configuration performances in the design and off-design conditions (Andreini and Facchini, 2004;Mendoza Orbegoso et al, 2011). The elements are related to the various parts of the combustor consist of diffuser, injector, primary, secondary and dilution regions.…”

Section: Component Modeling Approachmentioning

confidence: 99%

“…Some of the works on this approach use models and methods similar to those suggested by Mattingly et al (2007), Lefebvre and Ballal (2010). Recently, a semi-analytical emissions prediction method has been developed by Rezvani et al (2009). This modeling approach has been used for the primary design of a gas turbine combustor by using a set of physical and empirical equations and predicting the rate of CO and NOx pollutant emissions with the help of the CRN.…”

Section: Component Modeling Approachmentioning

confidence: 99%

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

Khodayari

2020

AEAT

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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“…Nevertheless, the application of CRN modelling in combustion systems is not limited to networks with a large number of elements. Based on the amount of available information as input, simple models were found to be valuable in combustion modelling (19)(20)(21) .…”

Section: Introductionmentioning

confidence: 99%

Emission prediction in conceptual design of the aircraft engines using augmented CRN

2017

Aeronaut. j.