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I n t r o d u c t i o n  a n d De f i n i t i o n  o f  t h e F i e l d   7



                1.4   Balancing and Flowsheeting Simulation
                      as a Basis for Optimization

                     Balancing reconciliation and flowsheeting simulation tools are
                     frequently used for sustainability design and savings analysis; in
                     fact, they have become the main tools in a process engineer’s toolbox.
                     These tools help engineers to develop complete material and energy
                     models based on measurements and/or design values and
                     mathematical models. Consequently, these simulation tools play an
                     important role in the technical and economic decision-making
                     activities related to the planning and/or design stage of processes
                     under development and to the operation of existing equipment.
                        A number of computer-based systems have been developed to
                     help process engineers calculate energy and mass balances. However,
                     ongoing development costs have left only a few of these systems on
                     the market: those whose positions have been secured by a substantial
                     number of sales. An early overview of flowsheeting simulation was
                     presented by Klemeš (1977). The balancing, data validation, and
                     reconciliation technology involves a set of procedures incorporated
                     into a software tool. Process data reconciliation has become the main
                     method for monitoring and optimizing industrial processes as well
                     as for component diagnosis, condition-based maintenance, and online
                     calibration of instrumentation. According to Heyen and Kalitventzeff
                     (2007), the main goals of this technology are: (1) to detect and correct
                     deviations and errors of measured data so that they satisfy all balance
                     constraints; (2) to use knowledge about the process system and
                     structure along with measured data to compute unmeasured data
                     wherever possible, especially key performance indicators (KPIs); and
                     (3) to determine the postprocessing accuracy of measured and
                     unmeasured data, including KPIs. More information about available
                     software tools is provided in Chapter 9.

                1.5  Integrated Approach: Process Integration

                     Heat Integration is the first part of Process Integration, which
                     provides the design foundation for CHP systems, refrigeration, air
                     conditioning, and heat-pump systems. Process Integration is equally
                     applicable to small, medium, and large industrial sites (e.g.,
                     power stations and oil refineries engaged in the production of
                     petrochemicals). The technology answers one of the major challenges
                     in the design of heating and cooling systems—namely, the complexity
                     of energy and power integration—via a mapping strategy based on
                     thermodynamically derived upper bounds on the system’s thermal
                     and power performance. The efficient use of available heating and
                     cooling resources for serving complex systems of various sizes
                     and designations can significantly reduce energy consumption and
                     emissions. This methodology can also be used to integrate renewable
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