Modeling of the gas-phase combustion of a grate-firing biomass furnace using an extended approach of Eddy Dissipation Concept

Farokhi, Mohammadreza; Birouk, Madjid

doi:10.1016/j.fuel.2018.04.102

Cited by 15 publications

(5 citation statements)

References 50 publications

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“…This method was successfully employed for the overbed modeling in the biomass combustors and validated via experiment. 11,40,225 NO x formation modeling is a complex process including too many reactions, and an efficient model would be hard to achieved by taking all reactions into account; hence, reducing the number of gas-phase reaction is inevitably essential to make a balance between the accuracy and computational cost.…”

Section: Pollutant Formation Mechanismsmentioning

confidence: 99%

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A Review of Numerical Modeling and Experimental Analysis of Combustion in Moving Grate Biomass Combustors

2019

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This Review covers the current state-of-the-art literature dealing with numerical modeling and experimental analysis of moving grate biomass combustors. The greatest attention is paid to the modeling of the thermochemical conversion in the fuel bed. Changes in the fuel characteristics are also tracked during the combustion. Such a review can facilitate understanding a more robust model from viewpoints of thermal performance, chemical and physical properties, pollutant emissions, and combustion stability. Different modeling approaches for the moving grate biomass furnaces are introduced, with a focus on the independent fuel bed modeling. Stepwise biomass fuel degradation inside the bed and corresponding individual mathematical models are described, followed by overbed combustion modeling. Numerical methods for the conservation equations of the combustion model are classified, and a general iterative solution algorithm is delivered. Various NO x formation mechanisms from the fuel-bed efflux and the combustion of hot zone gases are detailed, followed by the particle matter originating from inorganic materials. Air-staging, the flue gas recirculation mechanism, and restriction of the maximum flame temperature can significantly reduce the NO x concentration in the flue gases. Industrial biomass combustion systems are addressed in terms of different grate technologies, and a general laboratory-scale biomass reactor is portrayed. For future work, according to the gaps found in the literature, it is recommended that, considering the intensive inhomogeneity of the biomass fuels, the effects of the fuel uncertainties should be considered in the bed modeling. Furthermore, deep investigation of the infrared images captured from biomass combustion can provide a comprehensive tool for the combustion system analysis. More recommendations are given in the conclusion of this Review.

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Section: Pollutant Formation Mechanismsmentioning

confidence: 99%

“…HCN is regarded as an intermediate species for NO reburning formed during the interaction between NO and hydrocarbon radicals (e.g., CH 4 ). This method was successfully employed for the overbed modeling in the biomass combustors and validated via experiment. ,, …”

Section: Pollutant Formation Mechanismsmentioning

confidence: 99%

A Review of Numerical Modeling and Experimental Analysis of Combustion in Moving Grate Biomass Combustors

2019

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“…Estos mismos autores, pero en un estudio posterior, evaluaron la versión extendida del EDC en un quemador de biomasa acoplado en un horno de parrilla [79].…”

Section: Modelos Para La Simulación De La Combustión Sin Llamaunclassified

“…Comparación del modelo extendido del EDC al interior de un horno de biomasa con datos experimentales y la versión estándar. Fuente: [79].…”

Section: Modelos Para La Simulación De La Combustión Sin Llamaunclassified

Combustión sin llama como una alternativa para mejorar la eficiencia de sistemas térmicos: revisión del estado del arte

Yepes

Arrieta

Amell

2019

TecnoL.

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El aumento de la demanda energética, así como de las emisiones contaminantes ha generado un incremento de la investigación de tecnologías que permitan mitigar ambas problemáticas a nivel mundial. Dentro de las alternativas para mejorar la eficiencia de los procesos térmicos, el régimen de combustión sin llama se presenta como una de las alternativas más promisorias, puesto que permite obtener altos valores del rendimiento térmico mediante el mejoramiento de la transferencia de calor y del proceso de combustión, con la consiguiente reducción de las emisiones contaminantes. Debido a esto, en el presente estudio se realiza una revisión del estado del arte de dicha tecnología, haciendo énfasis en los aspectos fenomenológicos asociados, las principales características del régimen y su estabilidad, pasando por los mecanismos de obtención y la presentación de una serie de estudios, tanto a nivel nacional como internacional, en los que se utilizaron combustibles fósiles y alternativos. La revisión finaliza con la discusión de algunos casos en los cuales se ha implementado el régimen a nivel industrial.

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“…In addition, different physical phenomena such as flame extinction and diffusion, flame ignition mechanisms, flame quenching, and stabilization lie behind the analysis of premixed turbulent flows. Furthermore, the optimum operating conditions for a particular fuel can be assessed depending on these analyses [5] - [7].…”

Section: Introductionmentioning

confidence: 99%

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel

Sadeq,

Hedayati,

Sleiti

et al. 2023

Preprint

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Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven Machine Learning (ML) models for predicting the flame radius evolution and turbulent flame speeds for diesel, GTL, and their 50/50 blend (by volumetric composition) under different thermodynamic and turbulence operating conditions. Two ML models were developed in this study. Model 1 predicts the variations of the flame radius with time, equivalence ratio, and turbulence intensity, whereas Model 2 predicts the variations of the turbulence flame speed with the operating parameters. The k-fold cross-validation technique is used for model training, and the developed neural network-based model is used to investigate the effects of operating parameters on the premixed turbulent flames. In addition, the possible minimum and maximum values of responses at the corresponding operating parameters are found by using a Genetic Algorithm (GA) approach. Model 1 could capture the CFD outputs with high precision at different flame radiuses and time instants with a maximum absolute error percentage of 5.46%. For Model 2, the maximum absolute error percentage was 6.58%. Overall, this study demonstrates the applicability and promising performance of the proposed ML models, which will be used in subsequent research to analyze turbulent flames a posteriori.

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Modeling of the gas-phase combustion of a grate-firing biomass furnace using an extended approach of Eddy Dissipation Concept

Cited by 15 publications

References 50 publications

A Review of Numerical Modeling and Experimental Analysis of Combustion in Moving Grate Biomass Combustors

A Review of Numerical Modeling and Experimental Analysis of Combustion in Moving Grate Biomass Combustors

Combustión sin llama como una alternativa para mejorar la eficiencia de sistemas térmicos: revisión del estado del arte

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel

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