Process Strategy and Optimization

Code:

EQ0094

Acronym:

EOP

Keywords
Classification	Keyword
OFICIAL	Technological Sciences

Instance: 2016/2017 - 2S

Active?	Yes
Responsible unit:	Department of Chemical Engineering
Course/CS Responsible:	Master in Chemical Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEQ	75	Syllabus	4	-	6	63	162

Teaching language

Suitable for English-speaking students

Objectives

The use of simulation and optimization tools is an undeniable advantage to the improvement of the development and design of equipments and processes. This course unit aims to: -endow students with core engineering advanced knowledge in computer and software techniques, in order to solve optimization problems. - develop students’ personal and professional skills, as well as to introduce them to the identification and formulation of process optimization problems and their modelling and solution. Students should also use their critical reasoning. - develop students’ skills in teamwork, communication in the English language, learning and formation of a teamwork, task management and leadership recognition.

Learning outcomes and competences

Competence in formulating and solving optimization problems in chemical processes, and extending capabilities for optimization in related areas (engineering/physics).

Working method

Presencial

Program

General structure Sensitivity analysis Decomposition of systems and degrees of local freedom Information and matter processing diagrams Lee, Christensen and Rudd algorithm Degrees of global freedom Persistent cycles SIMOP application (MATRIX algorithm) Necessary condition for stationarity and necessary and sufficient conditions of local minimum Equality restrictions- Langragian notion Inequality restrictions – KKT conditions to local minimum Necessary and sufficient conditions of local minimum; Convex regions vs. convex function Univariate numerical optimization Golden section method and point method (Powell- parabolic interpolation) Unidirectional search and formulation of recurrence function Gradient methods Approximations to choose optimal step Newton-Raphson algorithm Marcquart extension Hessian approximations (variable metric- DFP, BFGS) Inclusion of restrictions; External penalty functions and SUMT methods Problems of minimum local and plausibility SIMOP and Excel Linear programming Geometric method Duality as a decision method in the allocation and acquisition of resources Transportation problems

Mandatory literature

Thomas F. Edgar, David M. Himmelblau, Leon S. Lasdon; Optimization of chemical processes. ISBN: 0-07-039359-1
Salcedo, Romualdo Luís Ribera; Problemas de optimização não-linear. ISBN: 972-752-049-9

Teaching methods and learning activities

Students will have the chance to learn the themes of this course unit by solving exercises using the computer, with applications SIMOP and Excel (laboratory classes). Theoretical-practical classes will be based on examples and problems related to the themes of this course unit.

Software

Excel+Solver
SIMOP

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	70,00
Participação presencial	0,00
Trabalho escrito	30,00
Total:	100,00

Eligibility for exams

To be admitted to exams, students have to attend classes and reach a minimum grade of 10 out of 20 in the continuous assessment component. • Continuous assessment grade (CA) will be based on the average grade of group assignments (maximum of four students) (GA) plus professor’s opinion regarding students’ performance in class (PO). • Individual written exam (WE- minimum grade of 30%)- students can use the book referred in the bibliography and calculator. It will last 2.5 hours.

Calculation formula of final grade

• CA= 0.80 *GA + 0.20* PO • Final Grade = 0.30*CA + 0.70*WE

Examinations or Special Assignments

Work groupo (2 students) to be done in laboratory classes of  15.05 and 16.05, for one hr.

Special assessment (TE, DA, ...)

An individual exam will take place, covering all the themes of the course unit

Classification improvement

An individual exam will take place, covering all the themes of the course unit.