Heat Transfer between Fluidized Beds and Surfaces

Kunii, Daizō

doi:10.1016/b978-0-08-050664-7.50019-6

Cited by 16 publications

(8 citation statements)

References 20 publications

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“…As a result, one is forced to introduce models describing the various fi eld variables in order to extract the necessary heat transfer data (Turton and Levenspiel, 1988). For example, many experiments have been carried out in which the relevant heat transfer parameters are followed at the inlet and outlet boundaries of the fl uid bed (Kunii and Levenspiel, 1991). A heat transfer coeffi cient characteristic of the entire bed is then calculated.…”

Section: Discussionmentioning

confidence: 99%

“…Many aspects of heat transfer in fl uidized beds have been well documented in literature. Primarily, the heat transfer between the fl uidizing medium and the bulk bed (Kunii and Levenspiel, 1991), and the heat transfer between the bulk bed and fi xed surfaces (Molerus et al, 1994;Sunderesan and Clark, 1995) have received considerable attention. The heat transfer between individual particles and the bulk bed is not as well documented (Parmar and Hayhurst, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Thermal Blending Time Associated With a Charge of Hot Particles Added to a Fluidized Bed of Uniform Temperature

Brown¹,

Pinchuk²,

Pinchuk³

et al. 2006

Can J Chem Eng

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The process of heat transfer between particles in a fluidized bed is important for many industrial fluidized bed processes. The problem associated with studying this phenomenon is the confounding effect of particle mixing on heat transfer. The work described here was undertaken to describe the process in which heat is added to a fluid bed process by adding a hot charge of particles to a colder fluidized bed. The rate of heat transfer in this instance can have a significant impact on performance of the fluid bed process, depending upon its application. Both the method of analysis and the results of the work are applicable to other fluidized bed processes, particularly those associated with the thermal upgrading of heavy oil. The method of data analysis, based on binomial statistics, allowed useful data to be extracted from a complex system without the need for a large number of experiments. The analysis also allowed for some assessment of the relative importance of mixing and heat transfer, which has not been possible with other approaches. The results of the experiments were further explored using a bubbling bed model that incorporated both heat transfer and solids mixing. This allowed for the formation of a conceptual model, validated by the experimentation, that explains the relative functions of the two transfer processes in the dispersion of heat from a hot charge of particles to the bulk of a fluidized bed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal Blending Time Associated With a Charge of Hot Particles Added to a Fluidized Bed of Uniform Temperature

Brown¹,

Pinchuk²,

Pinchuk³

et al. 2006

Can J Chem Eng

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“…It is calculated here according to Baskakov equation recommended by Schlünder [10]. The heat transfer by radiation is calculated according to Kunii [11]. For the emission coefficients of the fluidized bed a value of 0.86 [11] is assumed.…”

Section: -3mentioning

confidence: 99%

“…The heat transfer by radiation is calculated according to Kunii [11]. For the emission coefficients of the fluidized bed a value of 0.86 [11] is assumed. The emission coefficient of the wall is set for oxidized steel with 0.8 [12].…”

Section: -3mentioning

confidence: 99%

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Solar tower power plant using a particle-heated steam generator: Modeling and parametric study

Krüger

Bartsch

Pointner

et al. 2016

AIP Conference Proceedings

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Abstract. Within the framework of the project HiTExStor II, a system model for the entire power plant consisting of volumetric air receiver, air-sand heat exchanger, sand storage system, steam generator and water-steam cycle was implemented in software "Ebsilon Professional". As a steam generator, the two technologies fluidized bed cooler and moving bed heat exchangers were considered. Physical models for the non-conventional power plant components as airsand heat exchanger, fluidized bed coolers and moving bed heat exchanger had to be created and implemented in the simulation environment. Using the simulation model for the power plant, the individual components and subassemblies have been designed and the operating parameters were optimized in extensive parametric studies in terms of the essential degrees of freedom. The annual net electricity output for different systems was determined in annual performance calculations at a selected location (Huelva, Spain) using the optimized values for the studied parameters. The solution with moderate regenerative feed water heating has been found the most advantageous. Furthermore, the system with moving bed heat exchanger prevails over the system with fluidized bed cooler due to a 6 % higher net electricity yield.

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Development and Demonstration of a Molten Metal Cooling Trough to Improve Casthouse Performance

2014

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Heat Transfer between Fluidized Beds and Surfaces

Cited by 16 publications

References 20 publications

Thermal Blending Time Associated With a Charge of Hot Particles Added to a Fluidized Bed of Uniform Temperature

Thermal Blending Time Associated With a Charge of Hot Particles Added to a Fluidized Bed of Uniform Temperature

Solar tower power plant using a particle-heated steam generator: Modeling and parametric study

Development and Demonstration of a Molten Metal Cooling Trough to Improve Casthouse Performance

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