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Scheda Riassuntiva
Anno Accademico 2021/2022
Tipo incarico Dottorato
Insegnamento 057350 - ADVANCED TECHNIQUES FOR (BIO)CHEMICAL REACTOR MODELLING
Docente Turolla Andrea
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1378) - INGEGNERIA AMBIENTALE E DELLE INFRASTRUTTURE / ENVIRONMENTAL AND INFRASTRUCTURE ENGINEERINGAZZZZ057350 - ADVANCED TECHNIQUES FOR (BIO)CHEMICAL REACTOR MODELLING

Programma dettagliato e risultati di apprendimento attesi

Course overview

The intensive one-week course is aimed at providing fundamental elements about advanced techniques for (bio)chemical reactor modelling to course students by means of an active participation learning approach based on a combination of theoretical (lectures) and practical (case studies, exercises) activities. In detail, the course is built up around hands-on practical activities relying on a few currently relevant engineering systems that are addressed with a multi-disciplinary perspective and that cover a wide range of industrial applications. Most relevant established and innovative modelling techniques for (bio)chemical reactors are introduced, discussed and applied using dedicated computational tools (e.g. Matlab and Simulink, ANSYS Fluent), so as to transfer skills to course students that could be effectively applied to cross-sectorial case studies. The students are provided with handout slides, covering the topics presented during the lectures, and code scripts and start-up materials, allowing them to practice autonomously on the techniques presented in the course. Moreover, some additional literature is suggested based on specific needs, to further master the topics covered by the course.

  

Detailed program (to be detailed soon in the view of the first course edition)

> LECTURE 1: FUNDAMENTALS

(i) Fundamentals of (bio)chemical reactor engineering

(ii) Overview of (bio)chemical reactor modelling techniques

 > LECTURE 2: DETERMINISTIC MODELLING OF MULTI-SCALE AND MULTI-PHYSICAL PROCESSES

 > LECTURE 3: BLACK-BOX AND STOCHASTIC MODELLING

 > LECTURE 4: INTEGRATING REACTOR MODELLING IN ENGINEERING SYSTEMS

(i) Integration of (bio)chemical reactors in engineering systems

(ii) Elements of process monitoring, modelling and control

 > CLASSWORK 1: REACTOR ANALYSIS AND APPLICATION OF COMPARTMENT MODELLING

 > CLASSWORK 2: MODELLING OF MULTI-SCALE PROCESSES - Modelling of combined suspended and granular biomass reactors

 > CLASSWORK 3: DETAILED MODELLING OF MULTI-PHYSICAL PROCESSES - CFD modelling of UV-driven processes

 > CLASSWORK 4: ENGINEERING SYSTEMS - Plant/full-process simulation, control and assessment

  

Expected learning outcomes

Expected learning outcomes are related to the successful application of advanced modelling techniques to relevant engineering systems, including the following tasks: (1) analysis of (bio)chemical reactors and identification of the most appropriate modelling approach and related computational tools, (2) effective application of computational tools, (3) use of modelling outcomes for process assessment and optimization.


Note Sulla Modalità di valutazione

The evaluation will be based on the discussion of a project work defined with the lecturer and developed independently by each student after the end of the course.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

The course will take place over an intensive week, 4 days of approximately 6 hours each.

 

A preliminary program is presented:

Monday, June 6th | 09:30 - 12:30 | Introduction and lecture 1

Monday, June 6th | 14:00 ¿ 17:00 | Classwork 1

Wednesday, June 8th | 09:30 - 12:30 | Lecture 2

Wednesday, June 8 th | 14:00 - 17:00 | Classwork 3

Thursday, June 9th | 09:30 - 12:30 | Classwork 4

Thursday, June 9th | 14:00 - 17:00 | Lecture 3

Friday, June 10th | 09:30 - 12:30 | Lecture 4

Friday, June 10th | 14:00 - 17:00 | Classwork 4

Friday, June 10th | 17:00 - 18:00 | Closure session (with project work assignment)

 

Updated program details will be provided.


Bibliografia
Risorsa bibliografica obbligatoriaBibliographic resources (articles, book extracts, web resources, commented codes, ...) will be provided during the course.

Software utilizzato
Nessun software richiesto

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
12.0
esercitazione
12.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
1.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese

Note Docente
The PhD course program can be adapted according to the students' interests. For any request, please contact the lecturer via e-mail (andrea.turolla@polimi.it).
schedaincarico v. 1.7.2 / 1.7.2
Area Servizi ICT
30/09/2022