Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process

Jaeheum Jung; Kiwook Song; Seongho Park; Jonggeol Na; Chonghun Han

doi:10.1016/j.compchemeng.2014.07.024

Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process

Jaeheum Jung, Kiwook Song, Seongho Park, Jonggeol Na, Chonghun Han

Department of Chemical Engineering & Materials Science

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Vacuum distillation techniques are widely used in food, biological, pharmaceutical, and wastewater treatment industries. Because of its operation at low temperatures, vacuum distillation prevents the thermal decomposition of materials and alleviates corrosion processes; however, condenser size can be dramatically increased because of reductions in mean temperature differences under the vacuum operation. In batch vacuum distillation processes, vapor generation rate and mean temperature differences are changed with time. In view of these characteristics of batch operation, this paper suggests a novel methodology to minimize the condenser size in batch vacuum distillation processes. The target process is a sulfuric acid recycling system in semiconductor manufacturing plants. In this paper, an equation-oriented dynamic model is established and optimization problem is formulated. By solving the nonlinear programming problem, the condenser size is dramatically reduced when operation time is fixed. In contrast, operation time is greatly shortened when the installed condenser surface area is fixed.

Original language	English
Pages (from-to)	104-115
Number of pages	12
Journal	Computers and Chemical Engineering
Volume	71
DOIs	https://doi.org/10.1016/j.compchemeng.2014.07.024
State	Published - 4 Dec 2014

Bibliographical note

Funding Information:
This research was supported by the second phase of the Brain Korea 21 Program in 2014 , by Institute of Chemical Processes in Seoul National University , by MKE and grant from the LNG Plant R&D Center funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government , by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (Nos. 2010201020006D , 20132010201760 and 20132010500050 ).

Keywords

Batch distillation dynamic modeling
Batch vacuum distillation
Optimal batch operation
Sulfuric acid recycling
Vacuum condenser

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10.1016/j.compchemeng.2014.07.024

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title = "Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process",

abstract = "Vacuum distillation techniques are widely used in food, biological, pharmaceutical, and wastewater treatment industries. Because of its operation at low temperatures, vacuum distillation prevents the thermal decomposition of materials and alleviates corrosion processes; however, condenser size can be dramatically increased because of reductions in mean temperature differences under the vacuum operation. In batch vacuum distillation processes, vapor generation rate and mean temperature differences are changed with time. In view of these characteristics of batch operation, this paper suggests a novel methodology to minimize the condenser size in batch vacuum distillation processes. The target process is a sulfuric acid recycling system in semiconductor manufacturing plants. In this paper, an equation-oriented dynamic model is established and optimization problem is formulated. By solving the nonlinear programming problem, the condenser size is dramatically reduced when operation time is fixed. In contrast, operation time is greatly shortened when the installed condenser surface area is fixed.",

keywords = "Batch distillation dynamic modeling, Batch vacuum distillation, Optimal batch operation, Sulfuric acid recycling, Vacuum condenser",

author = "Jaeheum Jung and Kiwook Song and Seongho Park and Jonggeol Na and Chonghun Han",

note = "Funding Information: This research was supported by the second phase of the Brain Korea 21 Program in 2014 , by Institute of Chemical Processes in Seoul National University , by MKE and grant from the LNG Plant R&D Center funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government , by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (Nos. 2010201020006D , 20132010201760 and 20132010500050 ).",

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AU - Jung, Jaeheum

AU - Song, Kiwook

AU - Park, Seongho

AU - Na, Jonggeol

AU - Han, Chonghun

N1 - Funding Information: This research was supported by the second phase of the Brain Korea 21 Program in 2014 , by Institute of Chemical Processes in Seoul National University , by MKE and grant from the LNG Plant R&D Center funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government , by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (Nos. 2010201020006D , 20132010201760 and 20132010500050 ).

PY - 2014/12/4

Y1 - 2014/12/4

N2 - Vacuum distillation techniques are widely used in food, biological, pharmaceutical, and wastewater treatment industries. Because of its operation at low temperatures, vacuum distillation prevents the thermal decomposition of materials and alleviates corrosion processes; however, condenser size can be dramatically increased because of reductions in mean temperature differences under the vacuum operation. In batch vacuum distillation processes, vapor generation rate and mean temperature differences are changed with time. In view of these characteristics of batch operation, this paper suggests a novel methodology to minimize the condenser size in batch vacuum distillation processes. The target process is a sulfuric acid recycling system in semiconductor manufacturing plants. In this paper, an equation-oriented dynamic model is established and optimization problem is formulated. By solving the nonlinear programming problem, the condenser size is dramatically reduced when operation time is fixed. In contrast, operation time is greatly shortened when the installed condenser surface area is fixed.

AB - Vacuum distillation techniques are widely used in food, biological, pharmaceutical, and wastewater treatment industries. Because of its operation at low temperatures, vacuum distillation prevents the thermal decomposition of materials and alleviates corrosion processes; however, condenser size can be dramatically increased because of reductions in mean temperature differences under the vacuum operation. In batch vacuum distillation processes, vapor generation rate and mean temperature differences are changed with time. In view of these characteristics of batch operation, this paper suggests a novel methodology to minimize the condenser size in batch vacuum distillation processes. The target process is a sulfuric acid recycling system in semiconductor manufacturing plants. In this paper, an equation-oriented dynamic model is established and optimization problem is formulated. By solving the nonlinear programming problem, the condenser size is dramatically reduced when operation time is fixed. In contrast, operation time is greatly shortened when the installed condenser surface area is fixed.

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Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process

Abstract

Bibliographical note

Keywords

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