OPTIMAL SCHEDULING OF CYCLIC BATCH PROCESSES FOR HEAT INTEGRATION .1.BASIC FORMULATION

Significant savings in the utility cost of batch plants can be obtaine d by heat integration coupled with the rescheduling of operation times . In this work, efficient scheduling models are developed for maximiza tion of heat recovery for the case of no intermediate storage with hol ding time (NIS) in cyclically operated single-product campaigns. In th is development, the product recipe network is assumed to take the form of an arborescence and each unit is assumed to be assigned to a singl e task. A mixed integer linear programming (MILP) formulation is propo sed to determine the operating schedule for maximum heat integration b etween the batch streams to reduce the utility consumption. Solution o f this formulation can be readily obtained with a commercial MILP solv er. Numerical examples are presented to illustrate the scope of the pr oblems which can be handled with the formulation.