Summary
An n-dimensional Evolution-Operation Program has been developped that uses non-linear approximation for the evaluation and optimization of process design variables. Ridge analysis has been incorporated to obtain an spherical search pattern, which lends itself to experimental designs that are restricted to spherical bounded regions. This requires that the practicioner has in effect specified the range of exploration and approximation in which he is interested, both conditions being always met in process design. This technique has been applied to design the optimal operating conditions of a furfural production Plant reducing the experiments to a minimum, ensuring a minimal cost design. The method also allows for critical design variables decision and failure prevention.
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© 1983 Springer-Verlag Berlin Heidelberg
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Lázaro, M., Puigjaner, L., Martinez, J.M., Recasens, F. (1983). Process Modeling and Optimization with Evolution-Operation Techniques:Application to Furfural Production. In: Ameling, W. (eds) First European Simulation Congress ESC 83. Informatik-Fachberichte, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69295-6_75
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DOI: https://doi.org/10.1007/978-3-642-69295-6_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-12723-9
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