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Process Optimization

Code:

MEBQ008

Sigla:

OP

Áreas Científicas
Classificação	Área Científica
OFICIAL	Processos em Engenharia Química e Biológica

Ocorrência: 2022/2023 - 1S

Ativa?	Yes
Página Web:	https://moodle.ips.pt/2223/course/view.php?id=397
Curso/CE Responsável:	Master in Biological and Chemical Engineering

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MEBQ	16	Study Plan	1	-	5	60	135

Língua de trabalho

Portuguese

Objetivos

In this curricular unit, it is intended that students acquire skills to elaborate representative models of the operation and functioning of processes in the chemical and biotechnology industry, allowing the students to analyze and predict about the mode of operation of such systems. Based on this analysis the students should be able to critically optimize the operation of these processes, using for that purpose an array of tools ranging from simple spreadsheets to specific software.

Resultados de aprendizagem e competências

Not applicable.

Modo de trabalho

Presencial

Programa

1. Nature and organization of optimization problems in Chemical and Biotechnology processes. 2. Basic concepts applied to industry. 3. Linear programming optimization in Chemical and Biotechnology processes: general concepts; the simplex method; linear programming software. 4. Nonlinear programming in Chemical and Biotechnology processes: Application with univariate and multivariable problems. Application without restrictions and with restrictions. Nonlinear programming software. 5. Integrated planning, scheduling, and control in the process industries. 6. Applications to practical problems: design of a small heat exchanger network, real-time optimization of a distillation column, chemical reactor design and operation, etc.

Bibliografia Obrigatória

R. Fletcher; Practical Methods of Optimization, Wiley, 2000. ISBN: ISBN-13: 978-0471494638
T.F. Edgar and D.M. Himmelblau, Lasdon,; Optimization of Chemical Processes, McGraw Hill, 2001. ISBN: ISBN-13: 978-0071189774

Bibliografia Complementar

K. Urbaniec and C. McDermott; Optimal Design of Process Equipment, John Wiley, 1986. ISBN: ISBN-13: 978- 0853125099
F. Hillier, G. Lieberman; Introduction to Operations Research, McGraw Hill, 2005. ISBN: ISBN-13: 978- 0071333467

Métodos de ensino e atividades de aprendizagem

Classes involve exposure of the theoretical contents. Applications of these contents are made by using specific examples and using computer systems with appropriate software. Small tasks for students are proposed to consolidate the acquired knowledge. The resolution of proposed exercises is solved individually or in small groups.

The continuous evaluation will be comprised activities one test  and one group work. These works involve computers with appropriate software and it will be mandatory the delivery of written reports and oral presentations (English language).

The non-continuous evaluation shall be made by a written final exam, being considered in the final grade the evaluation of group works.

Software

UniSim – Software for Process Design and Simulation
General Algebraic Modeling System (GAMS)

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Participação presencial	20,00
Teste	40,00
Trabalho laboratorial	40,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Estudo autónomo	75,00
Frequência das aulas	60,00
Total:	135,00

Obtenção de frequência

Group work is mandatory, because it confers competences at the level of optimization of processes with appropriate technological means.

Fórmula de cálculo da classificação final

Continuous Assessment
5 Exercises (20%) + test (40%) + group work (40%)

Final exam
Examination (60%) + work (40%)

Observações