Master Thesis

Thesistype: Master Thesis
Contact: Ali Behravan via Email ali.behravan@uni-siegen.de
Office: H-E 005

Description: Nowadays, building automation system (BAS) is an ongoing development to reduce the energy consumption and operating cost that leads to improving energy efficiency in building sector besides supplying occupants with comfort and health with consideration of safety and security. Building automations use cyber-physical systems with deeply coupled embedded sensing and networked information processing which can be faced with various types of faults and failures in systems and operational components e.g. power failure, sensor failure, valve failure, actuator failure, control system failure, and components breakdown in HVAC or /fire detection and alarm systems. Sometimes these issues result in a disaster or occupant dissatisfaction at least; therefore, implementation of the real-time fault detection (qualitative or quantitative approaches) and diagnosis methods in BAS sounds vital. For this reason, a Simulink model which describes the thermodynamics behavior of a multi-zone office building that equipped with the demand-controlled ventilation was prepared.



Task Objectives
The task is to earn knowledge about FDD approaches (
e.g. model-based, rule-based or expert system, etc.)
in HVAC systems and building automation, develop a building automation system model in Simulink environment using modularization or other methods based on the prepared model, including dynamic climate control (
heating and cooling)
, blinds and windows control (
demand-controlled ventilation)
, occupancy-driven control, smoke and fire control, lighting control, and implementing fault detection and diagnosis methods in it.


Desired Skills
  • Enough knowledge in MATLAB + Simulink environments

  • Programming experience in C/C++

  • English language proficiency



Language
English

Duration of the Thesis
6 months