TY - JOUR
T1 - Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process
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.
KW - Batch distillation dynamic modeling
KW - Batch vacuum distillation
KW - Optimal batch operation
KW - Sulfuric acid recycling
KW - Vacuum condenser
UR - http://www.scopus.com/inward/record.url?scp=84905922406&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2014.07.024
DO - 10.1016/j.compchemeng.2014.07.024
M3 - Article
AN - SCOPUS:84905922406
SN - 0098-1354
VL - 71
SP - 104
EP - 115
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
ER -