CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Concept of supervisor heating control in commercial buildings using predictive models
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Read | Tyukov Anton P., Kamaev Valery A., Shcherbakov Maxim V. Concept of supervisor heating control in commercial buildings using predictive models // Caspian journal : management and high technologies. — 2012. — №3. — pp. 71-76. |
Tyukov Anton P. - post-graduate student, Volgograd State Technical University, 28 Lenin av., Volgograd, 400131, Russia, anton.tyukov@gmail.com
Kamaev Valery A. - D.Sc. (Engineering), Volgograd State Technical University, 28 Lenin av., Volgograd, 400131, Russia, kamaev@cad.vstu.ru
Shcherbakov Maxim V. - Ph.D. (Engineering), Volgograd State Technical University, 28 Lenin av., Volgograd, 400131, Russia, maxim.shcherbakov@gmail.com
The paper proposes a new concept of supervisor control of climate-control system (HVAC-systems) in large commercial buildings on the basis of predictive models. The proposed control concept reduces the consumption of gas used for heating, while maintaining the required temperature of range. The authors predict changes in internal building temperature and power consumption of HVAC-system using linear regression models, including weather forecast. The studies were carried out on the basis of real fifteen minute temperature measurements inside and outside of building, measurements of gas consumption in heating system and data from the nearest meteorological station. Target temperature is defined by occupancy calendar of the building. Control strategy is formed by predictive model control. The strategy is applied to climate-control system through the hardware-software complex consisting of client connected to HVAC-system and a server, which predicts changes of internal temperature and gas consumption and forms control strategy. The experiments were carried out in commercial building in the city of Eindhoven (the Netherlands). The effectiveness of the proposed concept as compared to the control algorithm built into the HVAC-system is shown.
Key words: Supervisor control,Climate-control system,HVAC,Predictive model control,Linear regression,Gas consumption forecast,Internal temperature forecast,Weather forecast,Intellectual data analysis,Energy efficiency