A NOVEL OCCUPANT DETECTION-BASED VENTILATION CONTROL STRATEGY FOR SMART BUILDING APPLICATIONS

Year 2021, , 24 - 35, 31.12.2021

Cihan Turhan , Aydın Ege Çeter

https://doi.org/10.22531/muglajsci.928315

Cited By: 1

Abstract

Traditional ventilation systems supply fresh air to the building on a consistent basis, however, do not ensure adequate comfortable areas in indoor environments. On the other hand, smart ventilation systems adjust indoor environment parameters optionally by occupancy schedules to provide desired indoor air quality while minimizing energy consumption. ASHRAE Standard 62, which shows ventilation strategies for acceptable indoor air quality, uses steady-state occupancy detection algorithms, however, dynamic methods are required behind simulation studies. To this aim, this study presents a dynamic novel ventilation control strategy by detecting occupants in an office building in Ankara-Turkey. The novel control strategy includes deployment of several sensors which measure carbon dioxide concentration, indoor air temperature and position of the door. A prototype of the controller is manufactured and tested in a real environment with the help of regulation of air flow in HVAC system. The proposed control strategy is tested between January 1st, 2020 and August 15th, 2020 and compared with traditional controller in terms of thermal comfort and energy consumption. The results showed that proposed controller decreased energy consumption by 16% while satisfying thermal comfort for the 94% of total number of occupants.

Keywords

Occupant detection, Smart buildings, Ventilation systems, Indoor air quality, Door position

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