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Mathematical and physical modeling o...

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Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate./
Author:	Nakamura, Masato.
Description:	179 p.
Notes:	Adviser: Nickolas J. Themelis.
Contained By:	Dissertation Abstracts International69-05B.
Subject:	Engineering, Environmental. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3317642
ISBN:	9780549658184

Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate.
Nakamura, Masato.

Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate. - 179 p.

Adviser: Nickolas J. Themelis.

Thesis (D.E.S.)--Columbia University, 2008.

The dominant process for the recovery of energy from municipal solid wastes (MSW) is mass burning on a moving grate. Also, the leading grate technology is the Martin reverse acting grate that was modeled in this study. The drying, volatilization, and combustion phenomena during the travel of the solid waste fuel over the grate depend on the physical and chemical properties of the diverse particles in MSW, the design of the grate and combustion chamber, and the distribution of air flowing through the bed of solids. On the average, it takes one hour for particles to traverse a 10-meter long grate. Therefore, the bed behaves essentially as a fixed bed moving downwards, by gravity because of the inclination of the grate. In the case of the Martin grate, the reverse action motion of the grate results in some upward flow and consequent mixing of the materials within the bed.

ISBN: 9780549658184Subjects--Topical Terms:

783782
Engineering, Environmental.

Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate.
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020 $a 9780549658184
035 $a (UMI)AAI3317642
035 $a AAI3317642
040 $a UMI $c UMI
100 1 $a Nakamura, Masato. $3 1064462
245 1 0 $a Mathematical and physical modeling of mixing and flow phenomena of municipal solid waste particles on a reverse acting grate.
300 $a 179 p.
500 $a Adviser: Nickolas J. Themelis.
500 $a Includes supplementary digital materials.
500 $a Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 3203.
502 $a Thesis (D.E.S.)--Columbia University, 2008.
520 $a The dominant process for the recovery of energy from municipal solid wastes (MSW) is mass burning on a moving grate. Also, the leading grate technology is the Martin reverse acting grate that was modeled in this study. The drying, volatilization, and combustion phenomena during the travel of the solid waste fuel over the grate depend on the physical and chemical properties of the diverse particles in MSW, the design of the grate and combustion chamber, and the distribution of air flowing through the bed of solids. On the average, it takes one hour for particles to traverse a 10-meter long grate. Therefore, the bed behaves essentially as a fixed bed moving downwards, by gravity because of the inclination of the grate. In the case of the Martin grate, the reverse action motion of the grate results in some upward flow and consequent mixing of the materials within the bed.
520 $a This study of the flow and mixing phenomena on a reverse acting grate included both theoretical and experimental research. In order to characterize the heterogeneous particle behavior, a two-dimensional stochastic model of particle mixing within the bed on the reciprocating grate was developed. The model was calibrated and validated by means of a full-scale physical model of the reverse acting grate, using tracer particles ranging from 6--22 cm in diameter. This size range was based on a quantitative analysis of the size and shape factor distributions of MSW samples collected from different locations in New York City. It was found that different particle sizes result in different residence times because of the Brazil Nut Effect (BNE). In the BNE, larger particles rise to the surface while smaller particles migrate to lower depths of the bed where the reciprocating bars push them backward against the main direction of the MSW flow. The motion of the reverse acting grate (whose speed ranged from 15 to 90 reciprocations/hour) increases the mean residence time of small and medium particles by 69% and 8%, respectively, while decreasing the mean residence time of large particles by 19%. Also, within this speed range, the mixing diffusion coefficient of each particle size was determined.
520 $a The ratio of particle diameter to the height of moving bar, d/h, was found to be a major parameter for affecting the mixing diffusion coefficient, De, and the residence time, t, at reciprocation speeds above 30/hr. When the ratio, d/h, increases from 0.46 to 1.69, the mixing diffusion coefficient, De at 60/hr., decreases from 96 to 38.4. This indicates that the height of the moving bars should be grater than the diameter of targeted particles, usually the mean diameter of MSW particles. Accordingly, the traveling grate operation and moving bar height can be optimized in a more efficient way, based on these quantitative results and the local MSW particle size distribution.
520 $a In the future research, when the stochastic model is combined with particle size change due to combustion, the stochastic model simulation will become much more complicated, because the Markov property will be applicable. In this case, the calculation should be carried out for each single time step (reciprocation), since the initial condition, instead of only the previous step.
590 $a School code: 0054.
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Engineering, Sanitary and Municipal. $3 1018731
690 $a 0554
690 $a 0775
710 2 0 $a Columbia University. $3 571054
773 0 $t Dissertation Abstracts International $g 69-05B.
790 $a 0054
790 1 0 $a Themelis, Nickolas J., $e advisor
791 $a D.E.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3317642