Introduction to Systems and Bioprocess Engineering

Code:

EBE0231

Acronym:

IESB

Keywords
Classification	Keyword
OFICIAL	Engineering Sciences

Instance: 2020/2021 - 2S

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

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIB	78	Syllabus	2	-	6	42	162

Teaching language

Portuguese

Objectives

The students should acquire the necessary skills to enable them to analyse, qualitatively and quantitatively, biomedical engineering systems and biological engineering processes.

Learning outcomes and competences

This course presents an introductory approach to Biomedical Systems Engineering and to Bioprocess Engineering. It offers a comprehensive and coherent discussion on the concepts and tools for system analysis and mathematical description of simple bioprocesses.

It promotes a critical understanding of the advantages and disadvantages of the diferent approaches, through their application to the solution of practical problems with a degree of difficulty adjusted to the backgorund of the 2nd year students

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Mathematics (basic Differential Calculus)

Program

BIOPROCESS ENGINEERING
Chapt. 1 - Biological kinetics: mathematical description of simple cases
   1.1.-Fundamental equations: thermodynamics and reaction rate
   1.2.-Most common types of kinetics in biological systems
   1.3.-Yield factors
   1.4.-Microbial growth in closed systems
   1.5.-Kinetics of substrate consumption and product formation
   1.6.-Calculation of the heat generated in metabolic processes
Chapt. 2 - Mass Balances in Steady State and Non-Steady State
   2.1.-General concepts: open and closed systems; continuous and discontinuous processes; equilibrium versus steady state. Non-steday state systems. Systems without reaction and with reaction.
   2.2.-Basic equation of mass balances
   2.3.-Practical rules for mass balances
   2.4.-Stechiometrics of biological conversion
Chapt. 3 - Energy Balances in Steady State and Non-Steady State
   3.1.-Introduction: energy forms, energy units, extensive and intensive properties.
   3.2.-Enthalpy: defintion and calculation- Heat of Reaction and Heat of Formation
   3.3.-Equation of the Energy balance in Steady and Non-steady state, with and without reaction
Chapt. 4 - Application of Process Engineering to the Analysis of Biological Systems
   4.1.-Main equations for the description of biological processes.
   4.2.-Case 1: Mono-phasic systems with mass transfer and reaction
   4.3.-Case 2: Bi-phasic (gas-liquid) systems with mass transfer and reaction.
   4.4.-Short notes on ideal bioreactors.

SYSTEMS ENGINEERING:
Part 1    - Modeling of elementary processes; time and frequency domain analysis of ODE models

• Modeling of simple electrical and mechanical processes;


• Input-output differential equations: free response, forced response; solution computation via Laplace transforms (revisited);


• Transfer functions;


• First and second order systems response to standard input signals (impulse, step, ramp);


• Higher order systems; modes; dominant modes;


• BIBO stability;


• Frequency response.                 

Parte 2 – State space models

• Linear state space models: motivation; linear state space models as a result of: modeling from first principles; transfer function or linear i/o ODE realization; linearization of nonlinear models.


• Free evolution, forced evolution, transfer function of a linear state space model;


• Solution computation (revisited)


• Internal stability and BIBO stability: definition; connection; spectral characterization of internal stability;


• Controllability and observability; controllers and observers.

Parte 3 – Compartmental models

• Compartmental models: definition; compartmental models as a particular case of state space models; properties (positivity, mass preservation, stability);


• Analysis of the evolution of the total system mass.

 

Mandatory literature

Luis Melo; Introdução à Engenharia de Bioprocessos, FEUP, 2018
Willem van Meurs; Modeling and simulation in biomedical engineering. ISBN: 978-0-07-171445-7

Complementary Bibliography

Pauline M. Doran; Bioprocess engineering principles. ISBN: 978-0-12-220851-5
Kossiakoff A, Sweet W; Systems engineering, principles and practice, Hoboken NJ, John Wiley, 2003
Madihally SV; Principles of biomedical engineering, Artech House, Boston, USA, 2010

Teaching methods and learning activities

During this course, the student will participate of theoretical and practical classes accompanied by the teacher, mainly as regards the quantitative solution of problems.

The process of teaching/learning will be focused on the student's work and it should result in a more proactive and dynamic learning that stimulates the student to be progressively more autonomous.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	78,00
Frequência das aulas	42,00
Trabalho escrito	42,00
Total:	162,00

Eligibility for exams

Class attendance, according to FEUP's rules.

Calculation formula of final grade

Student's assessment involves the participation in:
-1 group work (project) on "Bioprocess Engineering"
-1 group work (project) on "Systems Engineering"
-Final Exam: 

The final grade is calculated according to:
-Final Exam: 60%
-Project work on "Bioprocess Engineering": 20%
-Project work on "SystemsEngineering": 20%

In the final exam, the minimum classification is 8.

Classification improvement

Final Exam (repetition). The grade obtained in the group/project work is kept.