Course detail
Energy Simulations
FSI-IES Acad. year: 2024/2025 Winter semester
The course focuses on the use of energy simulation tools in the area of HVAC and renewable energy sources.
Language of instruction
Czech
Number of ECTS credits
3
Supervisor
Department
Entry knowledge
Practical knowledge of thermodynamics, heat transfer, and HVAC. Basic computer skills.
Rules for evaluation and completion of the course
Grading is based on the project work and presentation. An individual project is assigned to each student by teacher.
Project assignment is obligatory.
Aims
The goal of the course is to get students familiar with energy simulation tools, which they can utilize in their profession of HVAC engineers.
Students acquire basic knowledge and skills in application of energy simulation tools in the area of HVAC systems in buildings and renewable energy sources.
The study programmes with the given course
Programme C-AKR-P: , Lifelong learning
specialization CZS: , elective
Programme N-ETI-P: Power and Thermo-fluid Engineering, Master's
specialization TEP: Environmental Engineering, compulsory
Type of course unit
Computer-assisted exercise
39 hours, compulsory
Teacher / Lecturer
Syllabus
1. Introduction to energy simulations (history, goals, simulation tools, input and output data formats).
2. Graphical user interface (project creation, input data reading, output of results, processing of results).
3. Psychrometric calculations, sky temperature, soil temperature, incident solar radiation for various surface orientations.
4. Models of HVAC components (pumps, heaters, coolers, humidifiers, ducts, heat exchangers, etc.).
5. Solar thermal collectors, thermal storage tanks, solar hot water heating.
6. Photovoltaic systems (PV panels, inverters, batteries).
7. Heat pumps and cooling equipment.
8. Building energy demand calculations, degree-hour method, principle, application, limitations.
9. Multi-zone building models (heating, cooling, heat gains, controllers, occupancy profiles).
10. Air flow and air pollutants in indoor environment.
11. Optimization in energy simulations.
12. Practical optimization problems.
13. Verification and validation of simulation models.