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Implementation of an Energy Management Predictive Controller for a SAUTER Test Building

Author(s):

B. Kalay
Conference/Journal:

Master Thesis, SS 16 (10430)
Abstract:

Approximately 40% of the globally produced energy is consumed in buildings and roughly half of that energy is used for heating, ventilation and air conditioning (HVAC). Due to this fact, potential improvements in building control carries great significance. With this motivation, SAUTER AG equipped one of the company buildings with necessary sensors and data acquisition hardware for identification and control purposes. This building includes two seminar rooms, which are both equipped with radiators, air conditioners, digitally controlled blinds along with various temperature, humidity and solar radiation sensors. Throughout the project, this building is identified with all heating and cooling elements, as well as the disturbance sources in order to obtain a second order bilinear state space representation of the system. An energy management predictive controller is designed and implemented. The designed controller is tested on the real building. Its performance is evaluated and compared with the already existing controller.

Supervisors: Raphael Schaer, Georgios Darivianakis, Annika Eichler, Prof. Roy Smith

Year:

2016
Type of Publication:

(12)Diploma/Master Thesis
Supervisor:



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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2016:IFA_5499
}
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