Pattinson, TMajozi, T2010-08-202010-08-202009Pattinson, T and Majozi, T. 2009. Introducing a new operational policy : the PIS operational policy. Computers and Chemical Engineering, Vol. 34(1), pp 59-720098-1354http://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.pdfhttp://hdl.handle.net/10204/4177Copyright: 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 59-72A 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.enBatch processPIS policyLatent storageMILPChemical engineeringArticlePattinson, T., & Majozi, T. (2009). Introducing a new operational policy : the PIS operational policy. http://hdl.handle.net/10204/4177Pattinson, T, and T Majozi "Introducing a new operational policy : the PIS operational policy." (2009) http://hdl.handle.net/10204/4177Pattinson T, Majozi T. Introducing a new operational policy : the PIS operational policy. 2009; http://hdl.handle.net/10204/4177.TY - Article AU - Pattinson, T AU - Majozi, T AB - 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. DA - 2009 DB - ResearchSpace DP - CSIR KW - Batch process KW - PIS policy KW - Latent storage KW - MILP KW - Chemical engineering LK - https://researchspace.csir.co.za PY - 2009 SM - 0098-1354 T1 - Introducing a new operational policy : the PIS operational policy TI - Introducing a new operational policy : the PIS operational policy UR - http://hdl.handle.net/10204/4177 ER -