Local instantaneous temperature and time-averaged heat transfer coefficient in the bottom zone of a circulating fluidized bed

Li, Hongshun; Wang, Yijun; Yang, Jinguo

doi:10.1002/er.975

Cited by 8 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to different hydrodynamic characteristics involved in each one of these regimes, heat transfer differs considerably among these regimes. For the bubbling regime, the data of Bearg et al was used and for the turbulent regime the data of Gupta and Nag was used while the data of (Fox et al, Li et al, and Reddy and Nag) were used for the fast flow regime. Table shows the operational ranges of experimental heat transfer studies used.…”

Section: Resultsmentioning

confidence: 99%

Artificial Neural Approach for Modeling the Heat and Mass Transfer Characteristics in Three-Phase Fluidized Beds

Mjalli

Al-Mfargi

2008

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

The study of reactor design and modeling is conducted frequently both at the initial stage of equipment design as well as during further stages of equipment operation. Fluidized bed three-phase reactors have very complex behavior which relies to a high extent on the mass and heat transfer characteristics of the reaction constituents. Numerous previous experimental and theoretical based studies for modeling heat and mass transfer coefficients have the common shortcoming of low prediction efficiency compared to experimental data. In this work, an artificial neural network approach is used to capture the reactor characteristics in terms of heat and mass transfer based on published experimental data. The newly developed heat and mass transfer coefficients models proved to be of high prediction quality compared to experimental data and previous correlations. The new correlations will be used in a further study for the hybrid steady state and dynamic modeling of fluidized bed catalytic reactors.

show abstract

Section: Resultsmentioning

confidence: 99%

Artificial Neural Approach for Modeling the Heat and Mass Transfer Characteristics in Three-Phase Fluidized Beds

Mjalli

Al-Mfargi

2008

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…Several researchers [76,78,79,82,[84][85][86][87] have conducted and recommended cold model studies on the RCFB before going for commercial reactor. Yang and Keairns [77] discussed the design of a RCFB reactor for commercial applications.…”

Section: Two Interconnected Rcfb Reactorsmentioning

confidence: 99%

Chemical-looping combustion - an overview and application of the recirculating fluidized bed reactor for improvement

Sharma

Delebarre

Alappat

2014

Int. J. Energy Res.

View full text Add to dashboard Cite

SUMMARYThis paper propose recirculating fluidized bed (RCFB) reactor for chemical-looping combustion (CLC) to overcome some of the issues associated with the existing interconnected reactors arrangements like low residence time of bed material in the air reactor, high attrition of bed material in the cyclone separator, cluster formation in the air reactor, complex operation involving loop seals and high heat losses. RCFB has high solid circulation rate, long residence time, efficient fuel-oxygen carrier contact, low heat losses and low gas leak in between the reactors, as compared to the existing reactor configurations. A cold model study was performed on a Perspex made, semicircular, transparent RCFB reactor. A single RCFB reactor was operated in the alternate oxidation and fuel burning cycles to simulate the interconnected reactors arrangement for CLC. The generated experimental data has been used to predict the optimal RCFB reactor configuration for a RCFB-based CLC power plant.

show abstract

“…Due to the variation of these hydrodynamic characteristics between each of these regimes, heat transfer differs considerably among these regimes. For the bubbling regime, the data of Bearg et al (1950) was used and for the turbulent regime the data of Gupta and Nag (2002) was used while the data of (Fox et al 1999, Li et al 2004, and Reddy and Nag 1997 were used for the fast flow regime. Table (3) shows the operational ranges of experimental heat transfer studies used.…”

Section: Neural Network Design Training and Validationmentioning

confidence: 99%

Hybrid Modeling of Modified Mathematical Model for Gas Phase Olefine in Fluidized Bed Catalyst Reactors Using Artificial Neural Networks

Ibrehem¹

2009

Chemical Product and Process Modeling

View full text Add to dashboard Cite

The complex flow patterns induced in fluidized bed catalytic reactors and the competing parameters affecting the mass and heat transfer characteristics makes the design of such reactors a challenging task to accomplish. The models of such a process rely heavily on predictive empirical correlations for mass and heat transfer coefficients. Unfortunately, published empirical based correlations have the common shortcoming of low-prediction efficiency compared with experimental data. In this work, an artificial neural network approach is used to capture the reactor characteristics in terms of heat and mass transfer based on published experimental data. The developed ANN-based heat and mass transfer coefficients relations were used in a conventional FCR model and simulated under industrial operating conditions. The hybrid model predictions of the melt-flow index and the emulsion temperature were compared to industrial measurements as well as published models. The predictive quality of the hybrid model was superior to other models. This modeling approach can be used as an alternative to conventional modeling methods.

show abstract

Local instantaneous temperature and time-averaged heat transfer coefficient in the bottom zone of a circulating fluidized bed

Cited by 8 publications

References 12 publications

Artificial Neural Approach for Modeling the Heat and Mass Transfer Characteristics in Three-Phase Fluidized Beds

Artificial Neural Approach for Modeling the Heat and Mass Transfer Characteristics in Three-Phase Fluidized Beds

Chemical-looping combustion - an overview and application of the recirculating fluidized bed reactor for improvement

Hybrid Modeling of Modified Mathematical Model for Gas Phase Olefine in Fluidized Bed Catalyst Reactors Using Artificial Neural Networks

Contact Info

Product

Resources

About