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Jacek Jeżowski

Jacek Jeżowski. Rzeszów University of Technology Faculty of Chemistry Department of Chemical Engineering and Process Control Poland. RZESZÓW –KARPATIAN Region. Bieszczady Mountains. ODRZYKON. PALACE LANCUT. RZESZÓW UNIVERSITY OF TECHNOLOGY (RUT).

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Jacek Jeżowski

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  1. Jacek Jeżowski Rzeszów University of Technology Faculty of Chemistry Department of Chemical Engineering and Process Control Poland

  2. RZESZÓW –KARPATIAN Region

  3. Bieszczady Mountains

  4. ODRZYKON

  5. PALACE LANCUT

  6. RZESZÓW UNIVERSITY OF TECHNOLOGY (RUT) •above 600 researches incl. ~90 professors, ~13000 students •5 faculties

  7. FACULTY of CHEMISTRY •8 departments(researches and didactic – classical Industrial Technology) •~60 research workers (academic teachers)

  8. Department of Chemical Engng and Process Control • 13 academic teachers - researchers

  9. EU GRANT (GROWTH PROGRAMME) for EXCELLENCE CENTER2003 - 2005 PROJECT: COMODEC ENVIRONMENT FRIENDLY CHEMICAL PROCESSES with COMPUTER-AIDED MODELLING, DESIGN and CONTROL MY WORK PACKAGE – WP4: PROCESS INTEGRATION APPROACHES to REDUCE POLLUTION at HEART WORK PACKAGE – WP5 (K. KACZMARSKI): APPILCATION of ADSORPTION, CHROMATOGRAPHY and RELATED TECHNIQUES for PRODUCTION of VERY PURE PRODUCTS

  10. MAIN RESEARCH TOPICS: 1.PROCESS INTEGRATION 2.STOCHASTIC OPTIMIZATION APPPROACHES

  11. Heat Exchanger Networks and Heat Integration • A) Early projects • HEN Targeting and Synthesis (in general) • DAAD stypend in Stuttgart (Prof. E. Hahne) • Tree search technique: Jeżowski J., Hahne E., Heat exchanger network synthesis by a depth first method - a case study. Chem.Eng.Sci., 41, 2989-2997, 1986 • Research work at Hungarian Academy of Sciences (Dr F. Friedler) HENs targeting approaches: 1.Jeżowski J., Friedler F., A note on targeting in the design of cost optimal heat exchanger networks. Chem.Biochem.Eng.Q., 5, 1-9 , 19912. Jeżowski J., Friedler F., A simple approach for maximum heat recovery calculations. Chem.Eng.Sci., 47, 1481-1494, 1992

  12. HEN Synthesis with the use of LP and thermodynamic insights 1.Jeżowski J. Simple synthesis method of heat exchanger network with minimum number of units. Chem.Eng.Sci. 45, 1928-1932, 1990 2.Jeżowski J., A note on the use of dual temperature approach in heat exchanger network synthesis., Computers chem.Engng, 15, 305-312, 1991 3.Jeżowski J., The pinch design method for tasks with multiple pinches., Computers chem.Engng, 16, 129-133, 1992 4.Jeżowski J., SYNHEN : Microcomputer oriented package of programs for heat exchanger network synthesis., Computers chem.Engng, 16, 691-706, 1992

  13. B)Sabbatical year in Hyprotech, Calgary – project (from the scratch) on HEN synthesis software – program HX-Net (1)Two-stage synthesis approach that completely avoids the MINLP formulation • Shethna H., Jeżowski J., Castillo F., Simultaneous Optimization of Capital and Operating Cost Targets in Heat Exchanger Network Design, AIChE Spring Meeting, Houston USA 1999, paper no. 17e • Shethna H., Jeżowski J., Castillo F., A new Methodology for Simultaneous Optimization of Capital and Operating Cost Targets in Heat Exchanger Network Design, Applied Thermal Engineering, 2000, 20, 1577-1587 • Shethna H., Jeżowski J., Castillo F., Targets in heat exchanger networks using novel optimization models. to appear in “Recent Developments in Optimization and Optimal Control” by Rein Luus (editor)

  14. (2)The MILP based method for generating all sets of near-independent subnetworks H.K. Shethna, J. Jeżowski, F.J.L. Castillo, Near independent sub-systems in heat exchanger network design, ESCAPE-11 (17-13 May, 2001, Kolding, Denmark, EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING-11, Elsevier 2001, ed. Rafiquel Gani, Sten Bay Jorgensen, pp. 1089-1094 (3)Area targeting approach by LPJ. Jezowski, H.K. Shethna, F.J.L. Castillo, Area target for heat exchanger networks using linear programming, Industrial&Engineering Chemistry Research, 2003, 42(8), 1723

  15. (4)General transshipment model for the minimum utility cost with non-point utilities Hiren K. Shethna, Jacek M. Jeżowski, Francisco J.L. Castillo, Generalized transshipment model for targeting of multiple utilities in heat exchanger networks, Inżynieria Chem. i Proc., 2000, 21, 625-643 (in English)J. Jeżowski, H. Shethna, R. Bochenek, F. Castillo, On extensions of approaches for heat recovery calculations in integrated chemical process systems, Computers and Chemistry, 2000, 24, 595-601 C) More recent Researches 1) Designing the HENs at certain data – loop breaking method with the use of MILP J. Jeżowski, R. Bochenek, A. Jeżowska, Loop breaking in heat exchanger networks by mathematical programming, Applied Thermal Engineering, 2001, 21, 1429-1448

  16. 2) Designing HENs under uncertainty (flexible HENs) location of all pinches for given ranges of disturbances Jeżowski J., Jeżowska A., 1999, Some remarks on heat exchanger networks targeting under uncertainty, Hung. J. Ind. Chem., 1999, 27(1), 17-24 Jeżowski J., Bochenek R., Jeżowska A.: Pinch Locations At Flow-Rate Disturbances Of Streams For Minimum Utility Cost Heat Exchanger Networks. Applied Thermal Engineering, 2000, 20, 1481-1494 Also, optimization of HENs with fixed topology in retrofit scenario Jeżowski J., Jeżowska A., Computers aided designing heat exchanger networks., Hung.J.Ind.Chem., 25, 127-136, 1997Bochenek R., Jeżowski J., Adaptive random search approach for retrofitting flexible heat exchanger networks with fixed topology, Hung. J. Ind. Chem., 1999, 27(2), 89-97

  17. NEW PROJECTS in Process Integration 1. HENs revamp design ·important for industry and of scientific significance ·highly combinatorial  GA approach applied the approach and computer program accomplished recently - PhD Thesis of Mr Bochenek   (but also a more conventional tools – LP + MILP following Asante’s concepts)

  18. 1. WATER NETWORKS (MASS EXCHANGE NETWORKS) Results to date: Solution method for water networks with reuse and regeneration by Adaptive Random Search Optimization (poster at the Forum)

  19. STOCHASTIC OPTIMIZATION AIM: to DEVELOP GENERAL-PURPOSE SOLVER for MINLP problems  RESULTS TO-DATE: SOLVER OPTI-STO (coded in C++ with modelling system) Two stochastic optimization approaches available: 1.Adaptive Random Search (ARS) 2.Simulated Annealing (SA)

  20. ad. ARS: ·based on Luus-Jaakola (LJ) algorithm ·modifications a) mechanism for discrete variables  MINLP R. Bochenek, J. Jeżowski, G. Poplewski, A. Jeżowska: Studies in Adaptive Random Search Optimization for MINLP Problems, Comput. Chem. Eng Suppl., 1999, S483-486 b)others aimed at robustness of optimization, e.g. for highly multimodalproblems J. Jezowski and R. Bochenek, Experiences with the use of LJ algorithm and its modifications for solving chemical engineering problems, to appear in “Recent Developments in Optimization and Optimal Control” by Rein Luus (editor)

  21. SHORT SUMMARY on experiences with ARS: ·robust for nonlinear NLP/MINLP problems ·easy to use – discontinuities, logical conditions, min-max ·limitations: number of variables, esp. of discrete type ad. SA: Simplex (as local optimizer) + SA framework (concept developed by Press&Teukolsky and, later, applied in M-SIMPSA proceduredeveloped by the team of Prof. Salcedo from Portugal)

  22. Brief characteristic: ·it is not as robust as ARS (simplex degeneration sometimes occur) ·faster than ARS (usually) Genetic/evolutionary algorithms ·separate program (at present) ·tests are carried out to find proper parameter settings ·novel selection algorithm applied R. Bochenek, J. Jeżowski, A. Jeżowska, Multi-product batch plant opimisation using genetic algorithms. lecture at 28th Int. Conf. of Slovak Society of Chem. Engng, Slovak Republic, 2001

  23. Modelling and optimising chromatography processes The scientific interest of our group is also connected with modeling of adsorption and chromatography processes especially in preparative scale • We are interested in: • Preparative High Performance Liquid Chromatography (HPLC) • Simulating Moving Bed (SMB) • Expanded Bed Adsorption (EBA) • Thin Layer Chromatography (TLC)

  24. Preparative High Performance Liquid Chromatography (HPLC) • Investigation of fast and robust numerical method for solving HPLC models Kaczmarski K. Comput. Chem. Eng. 20, 49, (1996) Kaczmarski K., Mazzoti M., Storti G., Morbidelli M.: Computers Chem. Engng., 21. 641, (1997) Antos D., Kaczmarski K., Acta Chromatografica, 7, .49-69, (1997) • Elaboration of numerical method for solving chromatography column modelswith implicit isotherms Kaczmarski K., Antos D., Journal of Chromatography A. 862 , 1, (1999)

  25. Preparative High Performance Liquid Chromatography (HPLC) • Compatibility between general rate, equilibrium • dispersive and transport dispersive models Kaczmarski K. Antos D., Sajonz H., Sajonz P., Guiochon G., Journal of Chromatography A, 925, 1, ( 2001)Antos D., Kaczmarski K., Piatkowski W., Seidel-Morgenstern A., Journal of Chromatography A, 1006, 61, (2003) Piatkowski W., Antos D., Kaczmarski K., Inż. Chem. i Proc, 22, 3D 1109, (2001) Piatkowski W., Antos D., Kaczmarski K., Journal of Chromatography A, 988, 219, (2003)

  26. Preparative High Performance Liquid Chromatography (HPLC) • Separation of racemate mixtures Cavazzini A., Kaczmarski K., Szabelski P., Zhou D., Liu X., and Guiochon G., Analytical Chemistry, 73(23), pp 5704-5715, (2001) Kaczmarski, K., Cavazzini, A., Szabelski, P., Zhou, D., Liu, X. and Guiochon, G.Journal of Chromatography A, Volume : 962, 57-67, (2002) Cavazzini A., Felinger A., Kaczmarski K., Szabelski P., Guiochon G., Journal of Chromatography A, 953, 55 (2002) Zhou D., Kaczmarski K., Cavazzini A., Liu X.,Guiochon G., Journal of Chromatography A, 1020, 199 (2003) Zhou D., Cherrak D.E., Kaczmarski K., Cavazzini A., Guiochon G., Chem. Engng. Sci 58, 3257-3272 (2003).. Kaczmarski K., Gubernak M., Zhou D., Guiochon G., Chem. Engng. Sci. 58 , 2325-2338 (2003). Kaczmarski K., Zhou D., Gubernak M., Guiochon G., Biotechnology Progress 19; 455-463 (2003) Mihlbachler K., Kaczmarski K., Seidel-Morgenstern A., Guiochon G., Journal of Chromatography A, 955, 35 (2002)

  27. Preparative High Performance Liquid Chromatography (HPLC) Influence of pressure on retention mechanism Liu X., Kaczmarski K., Cavazzini A., Szabelski P., Zhou D., Guiochon G., Biotechnology Progress 18, 796 (2002) Szabelski P., Cavazzini A., Kaczmarski K., Liu X, Van Horn J.and Guiochon G., Journal of Chromatography A, 950, 41 ( 2002) Szabelski, P.; Cavazzini, A.; Kaczmarski, K.; Van Horn, J.; Guiochon, G., Biotechnol. Prog. ; 18(6), 1306, (2002) Liu X., Szabelski P., Kaczmarski K., Zhou D., Guiochon G., Journal of Chromatography A, 988, 205, (2003) Zhou, D.; Liu, X.; Kaczmarski, K.; Felinger, A.; Guiochon, G., Biotechnol. Prog. 19(3), 945, (2003)

  28. Simulating Moving Bed (SMB) • Continuous chromatography proces – simulated moving bed • Chromatographic separation with solvent gradient Mathematical modeling, process optymization, practical realization.  Antos D., Seidel-Morgenstern A., Chemical Engineering Science, 56, 6667, (2001). Antos D., Seidel-Morgenstern A., Journal of Chromatography A, 994, 7, (2002). Antos D., Ziomek, G., Kaspereit, K., J. Jeżowski, Seidel-Morgenstern, A., submitted to Journal of Chromatography .  Antos D., Seidel-Morgenstern A., Separation Science and Technology, 37 1469 (2002).

  29. Expanded Bed Adsorption(EBA) • Modelling EBA process Kaczmarski K., Bellot J.-Ch., Acta Chromatographica, no. 13, str. 22-37, (2003) Kaczmarski K., Bellot J.-Ch., to be printed in Biotechnology Progress (2004)

  30. Thin Layer Chromatography (TLC) • Investigation of the role of lateral interaction in „weak” chromatographic system • Kaczmarski K., Prus W., Kowalska T., Journal of Planar Chromatography 12, 175-179, (1999) • Kaczmarski K., Prus W., Kowalska T., Journal of Chromatography A. 869 , 57 – 64, (2000) • Prus W., Kaczmarski K., Tyrpien K., Borys M., Kowalska T., J. Liquid Chromatogr. & Related Technologies, 24(10), 1381-1396, (2001) • Kaczmarski K., Prus W., Dobosz C., Bojda P., Kowalska T., J. Liq. Chrom. & Rel. Technol., 25(10&11), 1469-1482 (2002)

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