EVA: Complementary Modules 2021-22

Opened: Saturday, 2 December 2017, 11:20 AM

Complementary modules organized by all institutions participating in the MSE.

Please note:

  • The number of inscriptions is typically restricted
  • Please consider the status field: only modules with "registration open" status can be booked
  • Module inscriptions have to be made via your advisor to the contact person as specified in the offering
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  5. For creating new module descriptions or in case of problems: please e-mail to Michael Röthlin (michael.roethlin@bfh.ch)
  6. The respective UAS are responsible for providing Moodle courses for the EVA listed here; such courses will not be provided on the MSE Moodle installation!
Thank you very much for your cooperation!
Title: Computational science and engineering applied to air conditioning systems
Short Code: EVA_DSH
ECTS Credits: 3
UAS: ZHAW
Organizer Details: Frank Tillenkamp: till@zhaw.ch, Christian Ghiaus: christian.ghiaus@insa-lyon.fr
Evaluation:

33.3% Written 2h, w/o documents on 29/05/2022

33.3% Written report of group work due on 27/05/2022

33.3% Oral presentation of group work on 29/05/2022
Decision Date: 21 February 2022 
Start Date: 18 April 2022 
End Date: 29 May 2022 
Date Details:
Type:

Face to face lectures and tutorials

(18/04/2022 – 20/04/2022)

20 h (22 %)

Tutorial and accompanied mini-project

(20/04/2022 – 22/04/2022)

20 h (22 %)

Autonomous group project

(22/04/2022 – 25/05/2022)

50 h (56 %)

Total

90 h (100 %)

Language(s):

English

Description (max. 300 characters):

Air conditioning increases productivity and comfort but it is responsible for about 15 % of total energy consumption. The course develops competences for practical optimization of air conditioning systems coupled to buildings by using computational thinking and implementation.

Contents and Learning Objectives:

Face to face

Lectures

Module 1: Psychrometrics (numerical calculation of moist air properties, typical transformations). Thermal comfort.

Module 2: Modelling of typical elements of air conditioning systems

Module 3: Modelling and simulation of air conditioning systems coupled to buildings

 

Tutorials

Tutorial 1: Calculation of moist air properties and matrix formulation of models

Tutorial 2: Numerical modelling of air conditioning systems

Tutorial 3: Coupling air conditioning systems to buildings

 

Accompanied individual mini-project:

Free-cooling

Air mixing and heating

Air-mixing, heating, humidification

Heat recovery, heating, adiabatic humidification

heat recovery and cooling

 

Autonomous group project:

The students will define their own subject on indoor climate control (temperature and humidity): a building and its air conditioning system will be modelled. On this model, optimisation of design parameters and energy management will be done.

Examples of projects: detached house, school, office building, green house, supermarket, research laboratory, restaurant.
Admission: The course is self-contained. Subjects useful at undergraduate level: linear algebra, thermodynamics, heat transfer, computer programming (MATLAB / Octave or Python).
Literature:

All teaching materials are provided as PDF (bibliography, supporting materials and slides for lectures and tutorials).

 

Bibliography

- G. Strang (2007) Computational Science and Engineering, Wellesley-Cambridge Press, ISBN-10 0-9614088-1-2

- C. Ghiaus (2014) Linear algebra solution to psychometric analysis of air-conditioning systems, Energy vol. 74, pp. 555-566

- ASHRAE Fundamentals, chapters F01 Psychrometrics, F07. Fundamentals of controls, F09 Thermal Comfort, F16 Ventilation and Infiltration, F17 and F18 Heating and Cooling Loads

Conditions:

Required (undergraduate level): linear algebra, calculus, thermodynamics, heat transfer, computer programming (MATLAB / Octave or Python).

Desirable (but not compulsory): dynamic systems, control engineering


Before the beginning of the course:

Every student needs to have access to MATLAB, Octave and/or Pyhton software. Octave and Python software are free and open-source; they can be installed on Windows, macOS and Linux operating systems.

- Teaching materials need to be downloaded and saved on each computer.

Contact:

Frank Tillenkamp: till@zhaw.ch

 
Contact Person E-Mail: till@zhaw.ch
Status: registration open
 
Specialization: Energy and Environment (EE)

Industrial Technologies (InT)

Computer Science (CS)

Energy & Environment (EnEn)

Mechanical Engineering (ME)

 

[Responsible for this text: Bergmann Thomas]