Jacek JeżowskiJacek Jeżowski

Rzeszów University of Technology

Faculty of Chemistry

Department of Chemical Engineering and Process Control

Poland

RZESZÓW –KARPATIAN RZESZÓW –KARPATIAN RegionRegion

Warszawa

Kraków Rzeszów

POLAND

Bieszczady Mountains

ODRZYKON

PALACE LANCUTPALACE LANCUT

RZESZÓW UNIVERSITY OF TECHNOLOGY RZESZÓW UNIVERSITY OF TECHNOLOGY (RUT)(RUT)

••above 600 researches incl. ~90 professors, above 600 researches incl. ~90 professors, ~13000 students ~13000 students

••5 faculties5 faculties

••8 8 departmentsdepartments

(researches and didactic – classical Industrial Technology)(researches and didactic – classical Industrial Technology)

••~~60 research 60 research workers (academic teachers)workers (academic teachers)

FACULTY of CHEMISTRYFACULTY of CHEMISTRY

Department of Chemical Engng and Process Control

13 academic teachers - researchers13 academic teachers - researchers

EU GRANT (GROWTH PROGRAMME) for EU GRANT (GROWTH PROGRAMME) for EXCELLENCE CENTEREXCELLENCE CENTER

2003 - 20052003 - 2005

PROJECT: PROJECT: COMODECCOMODEC

ENVIRONMENT FRIENDLY CHEMICAL PROCESSES with ENVIRONMENT FRIENDLY CHEMICAL PROCESSES with COCOMPUTER-AIDED MPUTER-AIDED MOMODELLING, DELLING, DEDESIGN and SIGN and CCONTROLONTROL

MYMY WORK PACKAGE WORK PACKAGE – WP4 – WP4::

PROCESS INTEGRATION APPROACHES to REDUCE POLLUTION PROCESS INTEGRATION APPROACHES to REDUCE POLLUTION at HEARTat HEART

WORK PACKAGEWORK PACKAGE – WP5 (K. KACZMARSKI) – WP5 (K. KACZMARSKI)::

APPILCATION of ADSORPTION, CHROMATOGRAPHY and RELATED APPILCATION of ADSORPTION, CHROMATOGRAPHY and RELATED TECHNIQUES for PRODUCTION of VERY PURE PRODUCTSTECHNIQUES for PRODUCTION of VERY PURE PRODUCTS

1. PROCESS INTEGRATION

2. STOCHASTIC OPTIMIZATION APPPROACHES

MAIN RESEARCH TOPICS:

Heat Exchanger Networks and Heat IntegrationHeat 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 , 1991

2. Jeżowski J., Friedler F., A simple approach for maximum heat recovery

calculations. Chem.Eng.Sci., 47, 1481-1494, 1992

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

• HEN Synthesis with the use of LP and thermodynamic insights

1. 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

2. 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

3. 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)

BB)) Sabbatical year in Hyprotech, CalgarySabbatical year in Hyprotech, Calgary – project (from the – project (from the

scratch) on HEN synthesis software – program HX-Netscratch) on HEN synthesis software – program HX-Net

(1)(1)        Two-stage synthesis approach that completely avoids the MINLP Two-stage synthesis approach that completely avoids the MINLP

formulationformulation

((22))        The MILP based method for generating all sets of near-independent The MILP based method for generating all sets of near-independent

subnetworkssubnetworks

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

((33))        Area targeting approach by LPArea targeting approach by LP

J. 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

((44))        General transshipment model for the minimum utility cost with non-General transshipment model for the minimum utility cost with non-

point utilitiespoint 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

CC)) More recent More recent ResearchesResearches

1) 1) Designing the HENs at certain data – loop breaking method with the use Designing the HENs at certain data – loop breaking method with the use

of MILPof MILP

J. Jeżowski, R. Bochenek, A. Jeżowska, Loop breaking in heat exchanger networks by

mathematical programming, Applied Thermal Engineering, 2001, 21, 1429-1448

2) 2) Designing HENs under uncertainty (flexible HENs)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, 1997

Bochenek 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

 1. 1. HENs revamp designHENs 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  

NEW PROJECTS in Process IntegrationNEW PROJECTS in Process Integration

(bbuut also a more conventional tools – LP + MILP following Asante’s t also a more conventional tools – LP + MILP following Asante’s concepts)concepts)

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)

AIMAIM::

to DEVELOP GENERAL-PURPOSE SOLVER for MINLP problemsto DEVELOP GENERAL-PURPOSE SOLVER for MINLP problems

  RESULTS TO-DATE: SOLVER OPTI-STORESULTS TO-DATE: SOLVER OPTI-STO

(coded in C++ with modelling system)(coded in C++ with modelling system)

Two stochastic optimization approaches available:Two stochastic optimization approaches available:

  1.1. AAdaptive daptive RRandom andom SSearch (ARS)earch (ARS)

2.2. SSimulated imulated AAnnealing (SA)nnealing (SA)

STOCHASTIC OPTIMIZATIONSTOCHASTIC OPTIMIZATION

        based on Luus-Jaakola (LJ) algorithmbased on Luus-Jaakola (LJ) algorithm

        modificationsmodifications

a) a) mechanism for discrete variables mechanism for discrete variables MINLP 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)b)  others aimed at robustness of optimizationothers aimed at robustness of optimization, e.g. for highly , e.g. for highly

multimodalmultimodal problemsproblems  

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)

ad. ad. AARSRS::

        robust for nonlinear robust for nonlinear NLP/NLP/MINLP problemsMINLP problems

        easy to use – discontinuities, logical conditions, min-maxeasy to use – discontinuities, logical conditions, min-max

      limitations: nlimitations: numberumber of variables of variables, esp. , esp. oof discrete typef discrete type

SHORT SUMMARYSHORT SUMMARY on experiences with ARS on experiences with ARS::

ad. SAad. SA::

Simplex (as local optimizer) + SA framework

(concept developed by Press & Teukolsky and, later, applied in M-

SIMPSA procedure developed by the team of Prof. Salcedo from

Portugal)

        it is not as robust as ARS (simplex degeneration sometimes occur)

    faster than ARS (usually)

Brief characteristic:Brief characteristic:

Genetic/evolutionary algorithmsGenetic/evolutionary algorithms

        separate program (at present)separate program (at present)

        tests are carried out to find proper parameter settingstests are carried out to find proper parameter settings

        novel selection algorithm appliednovel selection algorithm applied

R. Bochenek, J. Jeżowski, A. Jeżowska, Multi-product batch plant opimisation R. Bochenek, J. Jeżowski, A. Jeżowska, Multi-product batch plant opimisation

using genetic algorithms. using genetic algorithms. lecture at 28lecture at 28thth Int. Conf. of Slovak Society of Chem. Int. Conf. of Slovak Society of Chem.

Engng, Slovak Republic, 2001Engng, Slovak Republic, 2001

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)

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 models with implicit isotherms

Kaczmarski K., Antos D., Journal of Chromatography A. 862 , 1, (1999)

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)

Preparative High Performance Liquid Chromatography (HPLC)

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)

Separation of racemate mixtures

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)

Preparative High Performance Liquid Chromatography (HPLC)

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).

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)

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)