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Optimize Shift Scheduling Using Pinch Analysis

By Dominic C. Y. Foo, University of Nottingham, Malaysia campu;s Nick Hallale, AspenTech Ltd.; Raymond R. Tan, De La Salle University |

Pinch analysis emerged as a systematic design tool during the energy crisis of the late 1970s, particularly for the optimization of heat-exchanger networks and other heat-recovery systems [ 1 ]. Since then, ongoing breakthroughs in the use of pinch analysis have helped to establish mass- and property-integration techniques to assist with waste-minimization efforts [ 2, 3 ]. More recently, pinch analysis has been applied to other types of resource-conservation applications [ 4–14 ], as well. Besides the three traditional areas of heat, mass and property integration, pinch technology is also being used in a variety of non-conventional areas, to assist with and improve financial management [ 15 ], supply-chain management [ 16–18 ], so-called “emergy analysis”* [ 19 ], carbon-constrained energy-sector planning [ 20–21 ] and short-term scheduling of batch processes [ 22 ]. In all cases, the common underlying principle is that pinch analysis uses information about stream quantities in conjunction with data about the quality of those individual streams to optimize the overall process. Depending on the application, stream quality may be defined by such key process variables as temperature, concentration, “emergy,”…
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