Energy-efficient Buildings Control

Data is displayed for academic year: 2023./2024.

Lecturers

Prof.
Mario Vašak
Asst. Prof.
Anita Banjac

Course Description

Energy consumption in the buildings sector amounts to 40% of overall energy consumed in the world, and thereby buildings consume about 50% of energy on ensuring proper climate conditions in them. Since the process of energy system decarbonization demands that the energy consumption sector becomes controllable and predictable as much as possible, control of energy consumption in buildings, especially predictive control, becomes more and more important. In order to get the students acquainted with energy-efficient control in buildings, especially predictive control, the course elaborates the following topics. Structure of the building comfort-related systems. Building elements that are relevant for comfort control and their models: rooms/zones with respect to climate-comfort related variables -- temperature, CO2 concentration and humidity; actuators in zones – fan coils, radiators, surface heating/cooling, ventilation units; units for preparation and distribution of heating/cooling medium – heat pumps, heat exchangers, thermal storages and air handling units. Integration of thermal energy flows from building comfort systems with electrical energy flows, with a short overview of electrical generation/storage/consumption systems in buildings connected in a building microgrid. Simple energy- and cost-efficient control strategies for buildings climate-comfort on different control levels -- zones, central heating/cooling medium preparation, building microgrid. Concept of predictive control on different control levels in buildings and underlying mathematical programming procedures.

Study Programmes

University graduate
[FER3-EN] Control Systems and Robotics - profile
Elective courses (2. semester)
Elective courses of the profile (2. semester)
[FER3-EN] Data Science - profile
Recommended elective courses (2. semester)
[FER3-EN] Electrical Power Engineering - profile
Elective courses (2. semester)

Learning Outcomes

  1. Summarize the structure of the system for ensuring climate comfort in buildings
  2. Explain opportunities and challenges in climate control in buildings
  3. Use mathematical models of components of the system for ensuring climate comfort in buildings in analysis of building operation and control system design
  4. Breakdown the building operation through the level of zones, level of central heating/cooling medium preparation and level of building microgrid
  5. Explain the mode of predictive control application with mathematical programming usage through all three building levels: zones, central heating/cooling medium preparation and building microgrid

Forms of Teaching

Lectures

Lectures will be performed every week in the classroom for a duration of 2 school hours.

Laboratory

Laboratorium exercises will be performed periodically after relevant material given in the Lectures.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 30 % 0 % 35 %
Mid Term Exam: Written 45 % 35 % 0 %
Final Exam: Written 45 % 35 %
Exam: Written 0 % 50 %
Exam: Oral 15 %

Week by Week Schedule

  1. Example of a building automation and control system (BACS) with advanced control that combines artificial intelligence and machine learning.
  2. Physical quantities in heating, ventilation and air conditioning systems. Heat transfer laws and their formulation in buildings.
  3. Dynamic models of temperature of building elements. Effects of external temperature and solar irradiance.
  4. Modelling of actuators for achieving comfort in building zones.
  5. Modelling of actuators for achieving comfort in building zones. Modelling of elements for preparation of medium for heating, ventilation and air conditioning.
  6. Standard control in building automation and control systems (BACS). BACS classes.
  7. Standard control in building automation and control systems (BACS). BACS classes. Elaboration of example for laboratory exercise in standard control.
  8. Midterm exam
  9. Predictive control in building automation and control systems. General approach with sequential linear programming.
  10. Predictive control in building automation and control systems -- formulation of a linear program for maintaining temperature comfort in zones with fan coils.
  11. Predictive control in building automation and control systems -- formulation of a linear program for maintaining temperature comfort in zones with fan coils. Optimization of electrical energy cost. Demand response.
  12. Elaboration of example for laboratory exercise in predictive control.
  13. Elaboration of example for laboratory exercise in predictive control.
  14. Elaboration of example for laboratory exercise in predictive control.
  15. Final exam

Literature

Sofia-Natalia Boemi, Olatz Irulegi, Mattheos Santamouris (2015.), Energy Performance of Buildings, Springer
John H Lienhard (2019.), A Heat Transfer Textbook, Courier Dover Publications
John T. Wen, Sandipan Mishra (2017.), Intelligent Building Control Systems, Springer
Ye Yao, Yuebin Yu (2016.), Modeling and Control in Air-conditioning Systems, Springer
N. Perić, I. Petrović, M. Vašak (2013.), Procesna automatizacija. Skripta, FER

For students

General

ID 222948
  Summer semester
5 ECTS
L1 English Level
L1 e-Learning
19 Lectures
0 Seminar
0 Exercises
12 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

87.5 Excellent
75 Very Good
62.5 Good
50 Sufficient

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