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T y p i c a l P i t f a l l s a n d How t o Avo i d T h e m   283


                         16. Based on the optimization, extract adjusted data and return
                            to step 7. Perform an additional loop (or loops) while
                            screening and scoping for potential simplifications.
                         17.  Consider real plant constraints; these include safety,
                            technology limitations, controllability, operability, flexibility,
                            availability, and maintainability.
                         18. Pay attention to start-up and shutdown of the process; some
                            early designs for highly integrated plants had problems in
                            this area.
                         19.  Run a second optimization for the final tuning accounting
                            for the information added during steps 16 to 18. If necessary,
                            return to any appropriate previous step for adjustment.
                         20. The design is now ready for detailing. However, optimization
                            is a never-ending procedure, and designs may need to be
                            modified in response to changes in operating conditions
                            (e.g., plant capacity) or the economic environment (e.g., tax
                            policy; prices for energy, materials, and production).


                12.1 Data Extraction
                     As emphasized previously, data extraction is a crucial step. Bodo
                     Linnhoff presented one of his last plenary lectures (Linnhoff and
                     Akinradewo, 1998) on the automated interface between simulation
                     and integration. This has been a substantial step toward data
                     extraction for PI software tools. The plenary has been fairly
                     comprehensive and suggested the way forward for this important
                     task. The problem received increased interest following this lecture,
                     and several software packages now offer support for solving it.
                     Nonetheless, more work in this area is needed to satisfy the
                     requirements of routine industrial applications.
                        In their SuperTarget and Pinch Express software packages,
                     Linnhoff March (1998) included procedures for automatic extraction
                     of data for Heat Integration. Even so, thermal data, which involve the
                     stream heating and cooling information and utilities information,
                     are the most critical data required for Pinch Analysis. There are
                     several possibilities for extracting the thermal data from a given heat
                     and material balance. This must be done carefully, as poor data
                     extraction can easily lead to missed opportunities for improved
                     process design. In extreme cases, poor data extraction can falsely
                     present the existing process flow-sheet as optimal in terms of energy
                     efficiency. If the data extraction accepts all the features of the existing
                     flow-sheet then there will be no scope for improvement. If it does not
                     accept any features of the existing flow-sheet then Pinch Analysis
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