EVA: Complementary Modules AY22-23

33.3% Written 1h, w/o documents on 2/12/2022

33.3% Written report of group work due on 30/11/2022

Face to face period: 31/10/2022 09:00 – 4/11/2022 18:00
Exam: 2.12.2022

English

Buildings are responsible for about 40 % of the energy consumption and CO₂ emissions. The course develops computational skills in Python for modelling and problem solving of coupled heat transfer with special applications to optimize energy consumption for indoor climate control.

Face to face

Lecture module 1

·     thermal transfer: conduction, convection, and radiation

Lecture module 2

·     continuous and discrete models

·     thermal networks

·     transforming the thermal networks into state-space and transfer functions

·     coupling the models

Tutorial 1: Read weather data and calculate solar radiation:

1)    introduction to linear algebra and tools (Python, Numpy, Matplotlib);

2)    use Pyhton for reading (weather) data

3)    calculating the solar load

Tutorial 2: Simple wall

1)    physical analysis and mathematical models

2)    discretization of mathematical models

3)    numerical stability

4)    implementation

Tutorial 3: Simple building in free-running: controlled natural ventilation

1)    physical analysis and mathematical models

2)    discussion of examples

3)    implementation

Tutorial 4: Simple building controlled by an HVAC system

1)    physical analysis and mathematical models

2)    discussion of examples

3)    implementation

Accompanied individual mini-project:

Intelligent control of a single zone building

Autonomous group project:

Students define their own subject on indoor climate control, for example:

- dynamic insulation,

- dynamic solar protection,

- control of floor-heating and fan coils,

- influence of set-point setback,

- control of intermittently heated buildings,

- model predictive control.

The course is self-contained: all teaching materials are provided as PDF (bibliography, supporting materials, slides for lectures, and tutorials in Python).

Bibliography

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

·      J.A. Clarke (2001) Energy Simulation in Building Design, 2^nd edition, Butterworth Heinemann, ISBN 0 7506 5082 6

·      C. Ghiaus (2013) Causality issue in the heat balance method for calculating the design heating and cooling load, Energy, vol. 50, pp. 292-301

·      Ghiaus, C., & Ahmad, N. (2020). Thermal circuits assembling and state-space extraction for modelling heat transfer in buildings. Energy, 195, 117019

·      The Pyhton Tutorial https://docs.python.org/3/tutorial/

·      Ghiaus, C. (2022). Dynamic models for building energy management,

Every student needs to have a laptop during the course.

Prof. Dr.-Ing. Frank Tillenkamp: till@zhaw.ch