4.6 Article

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

Journal

COMPUTERS & CHEMICAL ENGINEERING
Volume 71, Issue -, Pages 104-115

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2014.07.024

Keywords

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

Funding

  1. second phase of the Brain Korea 21 Program
  2. Institute of Chemical Processes in Seoul National University
  3. MIKE
  4. LNG Plant RD Center
  5. Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government
  6. Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
  7. Ministry of Trade, Industry & Energy, Republic of Korea [2010201020006D, 20132010201760, 20132010500050]
  8. Korea Evaluation Institute of Industrial Technology (KEIT) [20132010500050, 20132010201760, 2010201020006D] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

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. (C) 2014 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available