By Topic

Control and optimization of batch processes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
DOMINIQUE BONVIN ; Swiss Fed. Inst. of Technol., Lausanne ; BALA SRINIVASAN ; DAVID HUNKELER

Batch processing presents several challenges. Increased competition calls for reduced production costs through a higher level of automation; however, chemical producers are expected to employ fewer in-house specialists in many areas, including process control. Technically, the main operational difficulty in batch-process improvement lies in the presence of run-end outputs such as final quality, which cannot be measured during the run. Although model-based solutions are available, process models in the batch area tend to be poor. On the other hand, measurement-based optimization for a given batch faces the challenge of having to know about the future to act during the batch. Consequently, the main research push is in the area of measurement-based optimization and the use of data from both the current and previous batches for control and optimization purposes

Published in:

IEEE Control Systems  (Volume:26 ,  Issue: 6 )