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 1h, w/o documents on 24/05/2024
33.3%
Written report of group work due on 22/05/2024
33.3% Oral
presentation of group work on 24/05/2024 |
Decision Date: |
21 February 2023 |
Start Date: |
15 April 2024 |
End Date: |
24 May 2024 |
Date Details: |
Lectures in Winterthur: 15/04/2024 09:00 – 19/04/2024 18:00
|
Type: |
Face to face lectures
and tutorials
(15/04/2024 – 17/04/2024)
|
20 h (22 %)
|
Tutorial and
accompanied mini-project
(17/04/2023 – 19/04/2023)
|
20 h (22 %)
|
Autonomous group
project
(22/04/2024 – 22/05/2024)
|
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 Python 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
Tutorial
2: Numerical modelling of air conditioning systems
Tutorial
3: Coupling air conditioning systems to buildings
Accompanied individual 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
ASHRAE
Fundamentals, chapters F01 Psychrometrics, F07. Fundamentals of controls, F09
Thermal Comfort, F16 Ventilation and Infiltration, F17 and F18 Heating and
Cooling Loads
C.
Ghiaus (2014). Linear algebra solution to psychometric analysis of
air-conditioning systems, Energy vol. 74, pp. 555-566
C.
Ghiaus (2022) Computational psychrometric analysis as a control problem: case
of cooling and dehumidification systems, International Journal of Building
Performance Simulation, 15(1), pp. 21-38,
https://doi.org/10.1080/19401493.2021.1995498 C. Ghiaus. (2021). PsychroAn_cool: Psychrometric analysis of
cooling systems as a control problem. In Journal of Building Performance
Simulation (0.0.0, Vol. 15, Number 1, pp. 21–38). Zenodo. https://doi.org/10.5281/zenodo.5236450
C.
Ghiaus (2022). Computational psychrometric analysis of HVAC systems: tutorials,
https://github.com/cghiaus/PsychroAn_tuto
|
Conditions: |
Required (undergraduate level): linear algebra, calculus,
thermodynamics, heat transfer, computer programming (MATLAB / Octave or Python).
Desirable (but not
compulsory): dynamic systems, control engineering
Every
student needs to have a laptop during the course.
Before the beginning
of the course, students need to have Python (Anaconda distribution is recommended) on
their laptops.
|
Contact: |
Prof. Dr.-Ing. Frank Tillenkamp: till@zhaw.ch |
Contact Person E-Mail: |
till@zhaw.ch |
Status: |
registration open
|
Specialization: |
Energy and Environment (EE)
Industrial Technologies (InT)
Information and Communication Technologies (ICT)
Building Technologies (BT)
Computer Science (CS)
Energy & Environment (EnEn)
Mechanical Engineering (ME)
Mechatronics & Automation (MA)
|
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