For process design, material and energy balances were used in transient state, as well as in conjunction with restrictions on the maximum allowable temperature in the reactors, minimum possible degree of conversion and relationship between height and diameter of the equipment. First, the algorithm for solving nonlinear programming problems with differential algebraic equations (NLP-DAE) is established, and then all technical aspects necessary to describe the system, such as criteria for the design of control, based on the response full system (integral square error, integral criterion) are presented together with some aspects of the response (overshoot decrease index). It sets all aspects necessary to describe the system, such as criteria for the design control and mathematical modeling, in conjunction with logical constraints to develop the integrated design of. It sets the algorithm for solving nonlinear programming problems with mixed integer differential algebraic equations. The study corresponds to a feasibility project, supported by a descriptive document. The functionalities of SuperPro and our experience in using this tool in several courses will be presented. Using SuperPro, the student and tomorrow's engineer can readily analyze the effect of changes in operating conditions on the environmental impact and the economics of a process. SuperPro carries out material and energy balances, calculates environmentally significant stream properties, estimates the size and cost of equipment, and performs economic evaluation of integrated processes. In our department we have successfully used SuperPro Designer, a comprehensive simulator from Intelligen, Inc. They are particularly useful in emphasizing the importance of systems approach in the design of integrated processes. Such tools also play an important role in teaching environmental engineering and other design-oriented courses. The successful design and evaluation of integrated chemical manufacturing and end-of-pipe treatment processes is a challenging task that can be facilitated by the use of advanced computer-aided process design and simulation tools.
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