Publication in the Diário da República: Despacho n.º 15239/2016 - 19/12/2016
5 ECTS; 3º Ano, 1º Semestre, 30,0 T + 15,0 PL + 15,0 TP , Cód. 814226.
Lecturer
- José Manuel Quelhas Antunes (1)(2)
(1) Lead Professor
(2) Teaching Professor
Prerequisites
Not applicable
Objectives
Students are expected to acquire skills in the modelling and simulation of chemical technology processes, particularly in the development of mathematical models, the application of appropriate numerical methods for their solution, and the use of computational tools for process simulation and analysis.
Program
1. Modelling strategies and model classification. Systematic approach to model development. Application of modelling to chemical technology.
2. Numerical methods applied to chemical technology:
2.1. Solution of nonlinear equations.
2.2. Numerical differentiation and integration.
2.3. Numerical solution of ordinary differential equations.
2.4. Numerical solution of partial differential equations.
3. Simulation of chemical technology processes using programming. Chemical technology case studies.
Evaluation Methodology
In continuous assessment, the final grade is obtained through a written test (25%), a set of three computational tasks (45%), and a simulation project (30%). Students who fail to attend at least two thirds of the TP and PL classes or who do not complete the simulation project during the contact period are excluded from continuous assessment. In final assessment, the grade is obtained through the simulation project (30%) and a theoretical-practical and computational assessment (70%).
Any written or practical assessment, including individual or group assignments, may, whenever there are substantiated doubts regarding the authorship or authenticity of the submitted work, be subject to a complementary assessment convened by the lecturer for the purpose of clarifying such doubts. Failure to attend this assessment, except for a duly justified reason, or failure to provide the clarification required to confirm the authorship or authenticity of the assessed material may result in a revision of the grade awarded, including the total or partial disregard of elements whose authorship or authenticity has not been demonstrated. The grade resulting from the complementary assessment shall prevail, in respect of the elements covered by it, for the purposes of the final grade.
Bibliography
- Chapra, S. e Canale, R. (2015). Numerical Methods for Engineers. New York: Mc Graw-Hill
- Hangos, K. e Cameron, I. (2001). Process Modelling and Model Analysis, 4th vol. of Process Systems Engineering. San Diego: Academic Press
- Luyben, W. (1990). Process Modeling, Simulation and Control for Chemical Engineers. New York: Mc Graw-Hill
- Yang, W. e Chung, T. e Morris, J. (2005). Applied Numerical Methods Using MATLAB. New Jersey: John Wiley
Teaching Method
In T classes, the main concepts are presented. In TP classes, exercises are solved, and in PL classes, chemical technology case studies are simulated using software.
Software used in class
Mathworks Matlab
Ms Excel
