The goal of the course is to develop student competencies for dynamic computer simulations of residential and non-residential buildings (hospitals, office buildings, production halls, etc). This includes the energy consumption of building technical systems, as well as the energy production from renewable energy sources on site. Building energy flows will be simulated as a function of meteorological data, technical system characteristics and building type-of-use. The course also advances student competencies for the development of computer algorithms in programing languages. The implementation of the acquired knowledge will be achieved through a practical work on a case study, which will be based on real-life projects and with skills developed through group collaboration and mentoring.

Student responsibilities:

Regular attendance to lectures and workshops. Continuous adoption of theoretical knowledge and active participation on practical assignments and discussions.

Grading and evaluation of student work over the course of instruction and at a final exam:

Project 50%, practical work 40%, lecture attendance 10%.

Upon successful completion of the course, students will be able to (learning outcomes):

1 . Critically evaluate an appropriate level of complexity for a simulation model.

2 . Define required input data for dynamic computer simulations.

3 . Perform the energy modeling of a building and building technical systems.

4 . Perform dynamic simulations of energy consumption and production on site.

5 . Perform the optimization of key parameters of a building and technical systems.

6 . Validate the accuracy of simulation results using measured data.

Lectures

1. Basics of MATLAB programming.

2. Basics of MATLAB programming.

3. Analysis of mathematical model for dynamic building simulations.

4. Building energy modeling.

5. Energy modeling of technical systems.

6. Energy modeling of technical systems.

7. Integration of system components into a functional model.

8. Dynamic computer simulations of energy consumption.

9. Calibration of simulation models using measured data.

10. Calibration of simulation models using measured data.

11. Accuracy assessment of simulation results using measured data.

12. Optimization of technical systems and building envelope.

13. Optimization of technical systems and building envelope.

14. Writing a technical report.

15. Presentation of the performed analyses.

Exercises

1. Syntax, basic functions, data analytics, and visualization in MATLAB.

2. Syntax, basic functions, data analytics, and visualization in MATLAB.

3. Case study - defining input data for building energy modeling.

4. Case study - building energy modeling.

5. Case study - dynamic computer simulations of building energy needs.

6. Case study - development of a simulation model for a heating/cooling emission system.

7. Case study - development of a simulation model for a heat pump.

8. Case study - integration of technical system components into a functional model.

9. Case study - data analytics of measured data.

10. Case study - the calibration of simulation models using measured data.

11. Case study - the accuracy assessment of simulation results.

12. Case study - the optimization of technical systems and building envelope.

13. Case study - the optimization of technical systems and building envelope.

14. Case study - writing a technical report.

15. Case study - presentation of the performed analyses.

Compulsory literature:

1. Lecture notes, Žakula, T., Bađun., N., Interno u Laboratoriju za energetsku učinkovitost, 0000, p. 0-0

2. TRNSYS 18 Documentation. Multizone Building Modeling with Type56 and TRNBuild., Klein, S.A. et al, Madison: Solar Energy Laboratory, University of Wisconsin-Madison., 0000, p. 0-0

Recommended literature: