Next generation scalable models for mass transfer in packed column

K. Nandakumar; Karl T. Chaung

Next generation scalable models for mass transfer in packed column

K. Nandakumar^*, Karl T. Chaung

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this talk we present our results on modeling the hydraulics and mass transfer in random and structured packed columns. Two distinctly different approaches are discussed. The first one is based on computational fluid dynamics wherein volume averaged equations for gas-liquid flow in a packed bed are used. The concept of volume averaging, its merits and limitations will be reviewed. This is done in the framework of interpenetrating continua and it requires closure relations to capture the interface transport processes such as drag and mass transfer. Hence predictions from such models must be validated against data from well controlled experiments. In our laboratory we measure the liquid distributions over Pall rings under various conditions and compare such data against CFD predictions. HETP data from Fractionation Research Inc. are used to validate mass transfer models. The main advantage of such an approach is that the model predictions can remain scale invariant over a certain range. Hence CFD models can help in minimizing scale up studies at the pilot plant scale. In an alternate approach, we simulate the random packing of complex shaped packing elements like Pall rings or Super Raschig rings in a container using collision detection algorithms. Once the position and orientation of each packing element is determined, we can interrogate the data to get porosity and surface area distribution within the bed. Such data can then be used in the CFD simulations or cell based models. We have explored both and these results will be discussed. The same approach is also used for studying not only performance of existing structured packings, but also in the design of new structured packings.

Original language	English
Title of host publication	10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety
State	Published - 2010
Externally published	Yes
Event	2010 AIChE Spring Meeting and 6th Global Congress on Process Safety, 10AIChE - San Antonio, TX, United States Duration: 21 Mar 2010 → 25 Mar 2010

Publication series

Name	10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety

Conference

Conference	2010 AIChE Spring Meeting and 6th Global Congress on Process Safety, 10AIChE
Country/Territory	United States
City	San Antonio, TX
Period	21/03/10 → 25/03/10

Keywords

Chemical process models
Computational fluid dynamics
Multiphase flows

Cite this

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title = "Next generation scalable models for mass transfer in packed column",

abstract = "In this talk we present our results on modeling the hydraulics and mass transfer in random and structured packed columns. Two distinctly different approaches are discussed. The first one is based on computational fluid dynamics wherein volume averaged equations for gas-liquid flow in a packed bed are used. The concept of volume averaging, its merits and limitations will be reviewed. This is done in the framework of interpenetrating continua and it requires closure relations to capture the interface transport processes such as drag and mass transfer. Hence predictions from such models must be validated against data from well controlled experiments. In our laboratory we measure the liquid distributions over Pall rings under various conditions and compare such data against CFD predictions. HETP data from Fractionation Research Inc. are used to validate mass transfer models. The main advantage of such an approach is that the model predictions can remain scale invariant over a certain range. Hence CFD models can help in minimizing scale up studies at the pilot plant scale. In an alternate approach, we simulate the random packing of complex shaped packing elements like Pall rings or Super Raschig rings in a container using collision detection algorithms. Once the position and orientation of each packing element is determined, we can interrogate the data to get porosity and surface area distribution within the bed. Such data can then be used in the CFD simulations or cell based models. We have explored both and these results will be discussed. The same approach is also used for studying not only performance of existing structured packings, but also in the design of new structured packings.",

keywords = "Chemical process models, Computational fluid dynamics, Multiphase flows",

author = "K. Nandakumar and Chaung, {Karl T.}",

year = "2010",

language = "英语",

isbn = "9780816910649",

series = "10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety",

booktitle = "10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety",

}

Nandakumar, K & Chaung, KT 2010, Next generation scalable models for mass transfer in packed column. in 10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety. 10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety, 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety, 10AIChE, San Antonio, TX, United States, 21/03/10.

Next generation scalable models for mass transfer in packed column. / Nandakumar, K.; Chaung, Karl T.

10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety. 2010. (10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Next generation scalable models for mass transfer in packed column

AU - Nandakumar, K.

AU - Chaung, Karl T.

PY - 2010

Y1 - 2010

N2 - In this talk we present our results on modeling the hydraulics and mass transfer in random and structured packed columns. Two distinctly different approaches are discussed. The first one is based on computational fluid dynamics wherein volume averaged equations for gas-liquid flow in a packed bed are used. The concept of volume averaging, its merits and limitations will be reviewed. This is done in the framework of interpenetrating continua and it requires closure relations to capture the interface transport processes such as drag and mass transfer. Hence predictions from such models must be validated against data from well controlled experiments. In our laboratory we measure the liquid distributions over Pall rings under various conditions and compare such data against CFD predictions. HETP data from Fractionation Research Inc. are used to validate mass transfer models. The main advantage of such an approach is that the model predictions can remain scale invariant over a certain range. Hence CFD models can help in minimizing scale up studies at the pilot plant scale. In an alternate approach, we simulate the random packing of complex shaped packing elements like Pall rings or Super Raschig rings in a container using collision detection algorithms. Once the position and orientation of each packing element is determined, we can interrogate the data to get porosity and surface area distribution within the bed. Such data can then be used in the CFD simulations or cell based models. We have explored both and these results will be discussed. The same approach is also used for studying not only performance of existing structured packings, but also in the design of new structured packings.

AB - In this talk we present our results on modeling the hydraulics and mass transfer in random and structured packed columns. Two distinctly different approaches are discussed. The first one is based on computational fluid dynamics wherein volume averaged equations for gas-liquid flow in a packed bed are used. The concept of volume averaging, its merits and limitations will be reviewed. This is done in the framework of interpenetrating continua and it requires closure relations to capture the interface transport processes such as drag and mass transfer. Hence predictions from such models must be validated against data from well controlled experiments. In our laboratory we measure the liquid distributions over Pall rings under various conditions and compare such data against CFD predictions. HETP data from Fractionation Research Inc. are used to validate mass transfer models. The main advantage of such an approach is that the model predictions can remain scale invariant over a certain range. Hence CFD models can help in minimizing scale up studies at the pilot plant scale. In an alternate approach, we simulate the random packing of complex shaped packing elements like Pall rings or Super Raschig rings in a container using collision detection algorithms. Once the position and orientation of each packing element is determined, we can interrogate the data to get porosity and surface area distribution within the bed. Such data can then be used in the CFD simulations or cell based models. We have explored both and these results will be discussed. The same approach is also used for studying not only performance of existing structured packings, but also in the design of new structured packings.

KW - Chemical process models

KW - Computational fluid dynamics

KW - Multiphase flows

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M3 - 会议稿件

AN - SCOPUS:77955255746

SN - 9780816910649

T3 - 10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety

BT - 10AIChE - 2010 AIChE Spring Meeting and 6th Global Congress on Process Safety

Y2 - 21 March 2010 through 25 March 2010

ER -

Next generation scalable models for mass transfer in packed column

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