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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4177

Title: Introducing a new operational policy : the PIS operational policy
Authors: Pattinson, T
Majozi, T
Keywords: Batch process
PIS policy
Latent storage
Chemical engineering
Issue Date: 2009
Publisher: Elsevier
Citation: Pattinson, T and Majozi, T. 2009. Introducing a new operational policy : the PIS operational policy. Computers and Chemical Engineering, Vol. 34(1), pp 59-72
Abstract: A novel operational policy, the Process Intermediate Storage operational policy, is introduced and used to synthesize, schedule and design multipurpose batch plants. The model is based on the State Sequence Network and non-uniform discretization of the time horizon of interest model developed by Majozi and Zhu [Majozi, T., Zhu, X. (2001). A novel continuous-time MILP formulation for multipurpose batch plants. 1. Short-term scheduling. Industrial and Engineering Chemistry Research, 40(23), 5935–5949]. Two cases are studied to determine the effectiveness of this operational policy. In the first case, which excludes any dedicated storage, the use of this operational policy results in 50% improvement in throughput. The second case is used to determine the minimum amount of intermediate storage while maintaining the throughput achieved with infinite intermediate storage. This results in 20% reduction in the amount of dedicated intermediate storage. The models developed for both cases are MILP models. An MINLP design model is then developed to exploit the attributes of the PIS operational policy.
Description: Copyright: 2009 Elsevier. This is the post version of the work. The definitive version is published on the Computers and Chemical Engineering Journal, Vol.34(1), pp 59-72
URI: http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6TFT-4WV15R7-3-21&_cdi=5235&_user=958262&_pii=S0098135409001963&_orig=search&_coverDate=01/11/2010&_sk=999659998&view=c&wchp=dGLzVlz-zSkWb&md5=11e977dd94fa76496bdb3d71aad725a9&ie=/sdarticle.pdf
ISSN: 0098-1354
Appears in Collections:Advanced mathematical modelling and simulation
General science, engineering & technology
Agroprocessing and chemical technology

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