DOI: https://doi.org/10.14710/teknik.v41i3.33416

Mechanical Ventilation Control Based on Estimated occupancy using a Carbon Dioxide Sensor

Kontrol Ventilasi Mekanis Berbasis pada Jumlah Estimasi Penghuni menggunakan Sensor Karbon Dioksida

*Haolia Rahman orcid scopus  -  Department of Mechanical Engineering, Jakarta State Polytechnic, Indonesia
Agus Sukandi  -  Department of Mechanical Engineering, Jakarta State Polytechnic, Indonesia
Nasruddin Nasruddin  -  Faculty of Engineering, Padang State University, Indonesia
Arnas Arnas  -  Faculty of Engineering, Padang State University, Indonesia
Remon Lapisa  -  Faculty of Engineering, Padang State University, Indonesia
Open Access Copyright (c) 2020 TEKNIK

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Abstract
Ventilation is an important aspect to maintain good indoor air quality in a building. However, excessive ventilation causing high energy consumption of the HVAC system. The ASHRAE Standard provides a guideline to set the ventilation rate that depends on the occupants' number and space. Thus, quantification of the number of occupants is required to regulate the ventilation rate. In this study, the estimated number of occupants was estimated using a Bayesian MCMC method based on CO2 levels. The mass balance equation of the CO2 is used as a model for the calculation of Bayesian MCMC. The Bayesian method for estimating the occupants' number is tested in a 96,7 m3 office room equipped with a ventilation system. Thus the occupancy estimation and control of ventilation can be done in real-time. The test also includes conventional ventilation control based on CO2 levels directly without converting to the occupants' number. The ventilation rate based on the number of occupants at the present test chamber refers to ASHRAE 62.1. The test results show that ventilation controlled by the estimated number of occupants using the Bayesian method successfully conducted with ventilation rate per occupant closer to the ASHRAE 62.1 standard over conventional ventilation method
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Keywords: occupancy estimation; ventilation control; Bayesian MCMC; carbon dioxide, mass balance equation

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