jaue2021-066: Experimental Study on IoT-based Estimation of Building Infiltration Rate using Tracer Gas Method

Abstract

One of the main parameters of assessing building energy performance is infiltration rate. Typically, infiltration
rates are set to normative values based on statistical data or inferred using blower door test. The normative value,
however, shows error depending on the construction quality and the year of construction. Also, expertise and
expensive equipment are needed for the blower door test. So, in this paper, IoT -based device to estimate building
infiltration rate using tracer gas method (CO2) and process of data acquisition and handling are proposed. Several
IoT sensors in a room are used to measure CO2 from various locations. Data is sent to a server after it has been
measured. The server checks the uniformity of CO2 concentration and then calculates the infiltration rate. The
proposed approach was tested in a university classroom. The test showed that the infiltration rate can be inferred
using the proposed approach without expertise and with a lower cost.