Process Systems Engineering

Code:

PDERPQ004

Acronym:

EPS

Keywords
Classification	Keyword
OFICIAL	Chemical Engineering

Instance: 2023/2024 - 2T

Active?	Yes
Responsible unit:	Department of Chemical Engineering
Course/CS Responsible:	Doctoral Program in Refining, Petrochemical and Chemical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
EAERPQ	0	Syllabus 2010/11	1	-	6	80	162
PDERPQ	4	Plano de estudos oficial a partir de 2009/10	1	-	6	80	162

Teaching language

Suitable for English-speaking students

Objectives

Ability to select and apply systematic methodologies of analysis and synthesis in a significant set of problems in the field of Process Systems Engineering.

Ability to integrate knowledge in the fields of transfer, transformation, separation processes, analysis of industrial and laboratorial data, to solve the problems dealt with.

Ability for solving problems of management of operations and logistics.

Ability to manipulate efficiently mathematical models, with a view to producing practical solutions.

Ability to solve problems related to optimization and multivariate methods and models, using computer applications.

Ability to develop teamwork.

Learning outcomes and competences

The teaching methodology is based on the repetition of cycles of "presentation of concepts -> supervised illustration of their application and resolution in the class room -> autonomous application of concepts by students through projects". These cycles are repeated for all contents of the course. The adoption of this teaching methodology allows students to acquire not only the theoretical knowledge about the various subjects covered, but also the effective know-how on how they can be applied to concrete problems. In this way, they acquire solid competences in the formulation of problems, their resolution, critical interpretation of solutions, integration of knowledge and teamwork, i.e., the learning objectives of the course.

Working method

Presencial

Program

1. Introduction. General concepts of Process Systems Engineering.


2. Formulation of optimization problems and their resolution. Problem solving with GAMS.


3. Formulation and resolution of systems in the form of non-linear equations.


4. Nonlinear continuous optimization.


5. Linear programming. Network models.


6. Discrete optimization. Concepts and formulations. Problem solving with GAMS.


7. Fundamentals of mechanistic modelling of industrial processes and their numerical resolution


8. Process simulators


9. Dynamic simulation of industrial processes


10. Management of operations and logistics - models and applications. Problem solving with GAMS.


11. Multivariate statistical models: Exploratory data analysis, predictive modelling, design of experiments, fault detection and diagnosis, data analysis and empirical modelling. Problem solving with MINITAB and JMP.

Mandatory literature

C.A. Floudas; Nonlinear and Mixed-Integer Optimization. Fundamentals and Applications, Oxford University Press, New York, N.Y., 1995
R.A. Johnson, D.W. Wichern; Applied Multivariate Statistical Analysis, Prentice-Hall, NJ, 2007

Complementary Bibliography

Reis, M.S.; Estatística para a Melhoria de Processos – A Perspectiva Seis Sigma., Coimbra: Imprensa da Universidade de Coimbra, 2016., 2016
K. Hangos, I. Cameron; Process Modeling and Model Analysis, Academic Press, N.Y. (2001)., 2001

Teaching methods and learning activities

Theoretical classes will be used to expose the main characteristics of the methodologies for problem solving. A fundamental component of learning will be the application of the techniques covered in various practical problems, for which students should create an appropriate computational tools. In this curricular unit, it is promoted the integration of knowledge with other units of the program.

Software

Aspen Plus
GAMS
MINITAB

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho prático ou de projeto	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Frequência das aulas	40,00
Total:	40,00

Eligibility for exams

Not applicable.

Calculation formula of final grade

The evaluation is made through the execution and reporting of several projects covering the different topics of the course, where students formulate, solve and interpret the solutions, using state of the art computational tools.