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Optimization in process engineering


Some basic information about the module

Cycle of education:
2022/2023
The name of the faculty organization unit:
The faculty Chemistry
The name of the field of study:
Hydrogen technologies
The area of study:
technical sciences
The profile of studing:
The level of study:
second degree study
Type of study:
past time
discipline specialities :
The degree after graduating from university:
Master of Science (MSc)
The name of the module department :
Department of Chemical Engineering and Process Control
The code of the module:
16575
The module status:
mandatory for teaching programme
The position in the studies teaching programme:
sem: 2 / W9 L9 / 2 ECTS / Z
The language of the lecture:
Polish
The name of the coordinator:
Grzegorz Poplewski, PhD, Eng.

The aim of studying and bibliography

The main aim of study:
After completing the course, the student can formulate an optimization model in the field of production processes as well as technological systems. He can solve the optimization model and interpret the correctness of the obtained results.

The general information about the module:
The module is implemented in the second semester. It includes 15 hours of lecture and 15 hours of laboratory. The module ends with a credit.

Bibliography required to complete the module
Bibliography used during lectures
1 J. Jeżowski, A. Jeżowska Optymalizacja systemów procesowych Oficyna Wydawnicza Politechniki Rzeszowskiej. 2011
2 J. Jeżowski, A. Jeżowska Wprowadzenie do optymalizacji matematycznej w inżynierii chemicznej i procesowej Oficyna Wydawnicza Politechniki Rzeszowskiej. 2011
3 J. Jeżowski, A. Jeżowska Optymalizacja procesów i aparatów. Wybrane problemy z zakresu inżynierii chemicznej i procesowej Oficyna Wydawnicza Politechniki Rzeszowskiej. 2011
4 R. Krupiczka, H. Merta Optymalizacja Procesowa Wydawnictwo Politechniki Śląskiej, Gliwice . 1998
Bibliography used during classes/laboratories/others
1 J. Jeżowski, A. Jeżowska Optymalizacja systemów procesowych Oficyna Wydawnicza Politechniki Rzeszowskiej. 2011
Bibliography to self-study
1 J. Jeżowski Projektowanie podsystemów odzysku ciepła w warunkach niepewnych danych Oficyna Wydawnicza Politechniki Rzeszowskiej. 1995
2 T.F. Edgar, D.M. Himmelblau, L. Lasdon Optimization of chemical processes McGraw-Hill. 2001

Basic requirements in category knowledge/skills/social competences

Formal requirements:
registration for a given semester

Basic requirements in category knowledge:
mathematics - the concept of a derivative, solving a system of equations, knowledge of chemical engineering processes

Basic requirements in category skills:
basic computer skills, use of MS Excel, the ability to analyze complex problems

Basic requirements in category social competences:
ability to solve problems in a group

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
MEK01 The student understands the need to optimize technological processes and systems, knows the basic concepts and mechanisms related to optimization. lecture written test K-W06++
K-K02+
P7S-KO
P7S-WG
MEK02 The student is able to formulate an optimization problem in a mathematical notation. problem laboratory observation of the solution method K-U03+++
K-U04+++
K-U05+++
K-U07++
K-K02+++
P7S-KO
P7S-UW
MEK03 The student is able to solve the problem of technological system optimization and interpret the obtained result. problem laboratory, individual project, team project project report, project presentation K-U03+++
K-U04+++
K-K02+++
K-K03+++
P7S-KO
P7S-KR
P7S-UW

The syllabus of the module

Sem. TK The content realized in MEK
2 TK01 Basic concepts of mathematical optimization W01-W02, L01 MEK01 MEK02
2 TK02 Mathematical optimization methods - application, advantages and disadvantages W02-W04, L01-L09 MEK01 MEK03
2 TK03 Optimality criteria W03, L01-L09 MEK01 MEK02
2 TK04 Structure of chemical technology process models W04-W06, L03-L05 MEK02 MEK03
2 TK05 Models of technological systems - structure and methods of solution W07-W08, L06-L09 MEK01 MEK02 MEK03

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 2) The preparation for a test: 7.00 hours/sem.
contact hours: 9.00 hours/sem.
complementing/reading through notes: 3.00 hours/sem.
Studying the recommended bibliography: 2.00 hours/sem.
Laboratory (sem. 2) The preparation for a Laboratory: 3.00 hours/sem.
The preparation for a test: 2.00 hours/sem.
Others: 8.00 hours/sem.
contact hours: 9.00 hours/sem.
Finishing/Making the report: 1.00 hours/sem.
Others: 7.00 hours/sem.
Advice (sem. 2)
Credit (sem. 2)

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture Written test - OW
Laboratory Project and defense assessment - OL
The final grade Final mark (FM): FM =0,4*w*OW+ w*0,6*OL w - a factor related to the term credit or examination, w = 1,0 the first term,w = 0,9 the second term, w = 0,8 a third term. While rounding average, the following rules are apply: 3,00 to 3,30 – dst (3,0); 3,31 - 3,75 – +dst (3,5); 3,76 - 4,25 – db (4,0); 4,26 - 4,70 – +db (4,5); from 4,71 – bdb (5,0).

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile yes

1 D. Foo; G. Poplewski; R. Tan; Y. Tan; M. Ting Carbon emission pinch analysis for transformation of Polish power generation sector 2025
2 D. Antos; I. Poplewska; G. Poplewski; A. Strachota; B. Strachota Thermo- and pH-Responsible Gels for Efficient Protein Adsorption and Desorption 2024
3 D. Foo; G. Poplewski An extended corner point method for the synthesis of flexible water network 2021