2019 Process Systems Engineering

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Academic unit or major
Graduate major in Chemical Science and Engineering
Instructor(s)
Matsumoto Hideyuki 
Course component(s)
Lecture
Day/Period(Room No.)
Tue3-4(S321)  Fri3-4(S321)  
Group
-
Course number
CAP.C412
Credits
2
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/5/14
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

Process systems engineering is concerned with investigation on decision-making methodology for creation and operation of the chemical supply chain. This course covers the fundamentals of systems approach (modeling, simulation and optimization) in the fields of analysis, synthesis and operation of process systems. This course introduces chemical engineering application of the systems approach.
In recent years, problems that should be solved by chemical engineering become diversified and complicated, which is faced for building a sustainable society that enables to maintain development of economies by considering improvement of environment, safety and health. An aim of this course is to facilitate students' understanding of a wide variety of systems method and its application to analysis, synthesis and operation of process systems. Students will have the chance to tackle practical problems by applying knowledge acquired through the lecture.

Student learning outcomes

At the end of this course, students will be able to:
1) Have an understanding of concept of systems thinking for analysis, synthesis and operation of chemical process systems, and deal with mathematical method related to modeling and simulation.
2) Deal with typical numerical solution for optimization problem that is essential to evaluation and decision-making.
3) Apply the above-mentioned mathematical methods to solve problem facing in the chemical engineering field.

Keywords

process systems, modeling and simulation, optimization, process analysis and synthesis

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
- -

Class flow

Class 1 - 9: Students are given subjects related to modeling, simulation and evaluation of process systems.
Class 10 - 15: Towards the end of class for optimization of process systems, students are given exercise problems related to what is taught on that day to solve.
Before coming to class, students should check what topics will be covered. Required learning should be completed outside of the classroom for preparation and review purposes.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Systems and process systems Students must be able to present definition of process systems and basic concept of system thinking.
Class 2 Analysis and synthesis of process systems Students must be able to present overviews of methodology for analysis and synthesis of process systems, in flow from process development to process design.
Class 3 Basis of system structure model Understanding of definition of system structure model and expression of various structure model is required. Students must be able to derive reachability matrix and skeleton from adjacent matrix in Interpretive Structural Modeling (ISM).
Class 4 Chemical engineering application of structure modeling methods Students must have knowledge of practical application of structure modeling methods, by tackling subjects for chemical engineering application of ISM.
Class 5 Multi-scale modeling and simulation Understanding of holistic system thinking for complex systems is required. Students must be able to present application methods of multi-scale modeling and simulation for analysis and synthesis of process systems.
Class 6 Neural network modeling and machine learning Understanding of characteristics of empirical network model is required. Students must be able to present mathematical methods for expression of structure of neural network and machine learning.
Class 7 Basis of logical network modeling Understanding of characteristics of discrete event system is required. Students must be able to present methods for expression of Petri net model and its application.
Class 8 Chemical engineering application of logical network modeling methods Students must have knowledge of practical application of logical network modeling methods, by tackling subjects for chemical engineering application of Petri net model.
Class 9 Evaluation of process systems and methods for decision making Students must be able to present methods for evaluation of process systems and the hierarchical decision making method.
Class 10 Characteristics of optimization problems and its formulation Students must be able to present characteristics of optimization problems and overviews of procedures of solving the problems in analysis, synthesis and operation of process systems.
Class 11 Linear / nonlinear regression modeling and parameter estimation Understanding of application methods of linear / nonlinear model for analysis, synthesis and operation of process systems is required. Students must be able to estimate values of parameters for the regression model.
Class 12 Basis of quadratic programming for chemical engineering application Understanding of characteristics of quadratic optimization problem is required. Students must be able to analyze characteristics of the optimization problem mathematically.
Class 13 Basis of one-dimensional search methods and its chemical engineering application Students must be able to solve the nonlinear programming problems for analysis, synthesis and operation of process systems, by using Newton's method.
Class 14 Basis of multivariable optimization methods and its chemical engineering application Students must be able to solve the nonlinear programming problems for analysis, synthesis and operation of process systems, by using gradient method.
Class 15 Basis of evolutionary computational methods and its chemical engineering application Understanding of characteristics of genetic algorithm is required. Students must have knowledge of chemical engineering application of evolutionary computational methods.

Textbook(s)

Kuroda, Chiaki ed.. Systems Analysis. Tokyo: Asakura Shoten. ISBN-13:978-4254256048

Reference books, course materials, etc.

Akagi, Shinsuke. Systems Engineering. Tokyo: Kyoritsu Shuppan. ISBN-13:978-4320071339

Assessment criteria and methods

Students’ course scores are based on submitted reports to subjects and exercise problems.

Related courses

  • CAP.I407 : Introduction to Chemical Engineering (Basics)
  • CAP.C424 : Advanced Reaction Process Engineering
  • CAP.C423 : Computational Fluid Dynamics
  • CAP.I417 : Introduction to Chemical Engineering (Unit Operation)
  • CAP.C421 : Advanced Energy Transfer Operation
  • CAP.C441 : Transport Phenomena and Operation
  • CAP.C443 : Advanced Reaction-Separation Process

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Students require knowledge of chemical engineering.

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