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Projects source: E-CRIS

Development of intelligent monitoring control system to increase energy efficiency in buildings

Research activity

Code Science Field
T001  Technological sciences  Electronics and Electrical technology 
T002  Technological sciences  Construction technology 
T120  Technological sciences  Systems engineering, computer technology 
T125  Technological sciences  Automation, robotics, control engineering 
T190  Technological sciences  Electrical engineering 
Keywords
BMS, Simulation model, Optimization, Artificial Intelligence.
Organisations (1) , Researchers (1)
0038  University of Novi Sad, Faculty of Technical Sciences
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  05036  PhD Filip Kulić  Electronics and Electrical technology  Head  2011 - 2019  57 
Abstract
The objective of this research is the creation of an expert system to control the performance of subsystems in commercial buildings to generate savings and increasing their efficiency. The expert system depends on a central system for monitoring and controlling commercial buildings (BMS - Building Management System) and a simulation of the actual building. The BMS on one hand is the main source of data for the expert system, and on the other hand a tool for implementing strategies that result from it. The simulated model of the actual building depends on an expert system to verify controlling algorithms and determine the best one. The model would be created in one of the most popular tools like EnergyPlus, DOE, and so on. In practice so far with BMS, a possible model building as well as cost saving strategies were reviewed independently. Each subsystem utilizing these conditions would be created for saving energy in these types of facilities. The expert system would be implemented as software package. The program, besides the main user interface, would be able to couple with the existing BMS buildings through LON and BACNet standard protocols and the simulated model of the observed building created using simulation tools such as EnergyPlus, DOE, and so on. Applying the aforementioned expert system in real buildings is expected to generate savings of 10 to 20%.
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