Evaluation of Visitor Counting Technologies and Their Energy Saving Potential through Demand-Controlled Ventilation

Jussi Kuutti, Kim H. Blomqvist and Raimo E. Sepponen
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Jussi Kuutti: Health Factory, School of Electrical Engineering, Aalto University, Aalto FI-00076, Finland
Kim H. Blomqvist: Health Factory, School of Electrical Engineering, Aalto University, Aalto FI-00076, Finland
Raimo E. Sepponen: Health Factory, School of Electrical Engineering, Aalto University, Aalto FI-00076, Finland

Energies, 2014, vol. 7, issue 3, 1-21

Abstract: Direction-sensitive visitor counting sensors can be used in demand-controlled ventilation (DCV). The counting performance of two light beam sensors and three camera sensors, all direction sensitive, was simultaneously evaluated at an indoor location. Direction insensitive sensors (two mat sensors and one light beam sensor) were additionally tested as a reference. Bidirectional counting data of free people flow was collected for 36 days in one-hour resolution, including five hours of manual counting. Compared to the manual results, one of the light beam sensors had the most equally balanced directional overall counting errors (4.6% and 5.2%). The collected data of this sensor was used to model the air transportation energy consumption of visitor counting sensor-based DCV and constant air volume ventilation (CAV). The results suggest that potential savings in air transportation energy consumption could be gained with the modeled DCV as its total daily airflow during the test period was 54% of the total daily airflow of the modeled CAV on average. A virtually real-time control of ventilation could be realized with minute-level counting resolution. Site-specific calibration of the visitor counting sensors is advisable and they could be complemented with presence detectors to avoid unnecessary ventilation during unoccupied periods of the room. A combination of CO 2 and visitor counting sensors could be exploited in DCV to always guarantee sufficient ventilation with a short response time.

Keywords: visitor counting sensor; people flow rate; indoor people flow monitoring; zone population detection; demand-controlled ventilation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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