Energy consumption analysis under demand-controlled ventilation due to drift of indoor air quality sensor

Demand controlled ventilation (DCV), by using indoor air quality (IAQ) sensors to monitor CO 2 concentration so as to adjust the air ventilation mode, may achieve significant energy saving compared with traditional constant volume ventilation. The performance of IAQ sensors is the key factor which directly affects the measurement of CO 2 concentration with linkage to energy consumption. Taking a seminar room under DCV as the example, NMC has conducted the analytical analysis to calculate the energy consumption due to IAQ sensor drift. The details on the analytical method will be presented in this study. The calculation results showed that the energy consumption is in nearly linear proportion to the sensor drift in the range of 5 %–25 %. The sensor drift impact on energy consumption can be affected by the capacity; with larger energy waste at higher capacity and lower energy waste at lower capacity. For the three categories of capacities considered in this study (the full capacity of 91 people, the intermediate capacity of 61 people, and the low capacity of 31 people), the energy waste respectively ranges from 1.93 % to 21.07 %, 1.49 %–19.59 %, and 0.88 %–16.28 %, with sensor drift from 5 % to 25 % under each category.

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Journal
Measurement Sensors
Published
2025-01-09
DOI
https://doi.org/10.1016/j.measen.2024.101710
Primary Topic
Engineering Applied Research
Type
article
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article

Energy consumption analysis under demand-controlled ventilation due to drift of indoor air quality sensor

Shan Cui, Yan Zeng
Measurement Sensors
Engineering Applied Research
article

Energy consumption analysis under demand-controlled ventilation due to drift of indoor air quality sensor

Shan Cui, Yan Zeng
article en

Abstract

Demand controlled ventilation (DCV), by using indoor air quality (IAQ) sensors to monitor CO 2 concentration so as to adjust the air ventilation mode, may achieve significant energy saving compared with traditional constant volume ventilation. The performance of IAQ sensors is the key factor which directly affects the measurement of CO 2 concentration with linkage to energy consumption. Taking a seminar room under DCV as the example, NMC has conducted the analytical analysis to calculate the energy consumption due to IAQ sensor drift. The details on the analytical method will be presented in this study. The calculation results showed that the energy consumption is in nearly linear proportion to the sensor drift in the range of 5 %–25 %. The sensor drift impact on energy consumption can be affected by the capacity; with larger energy waste at higher capacity and lower energy waste at lower capacity. For the three categories of capacities considered in this study (the full capacity of 91 people, the intermediate capacity of 61 people, and the low capacity of 31 people), the energy waste respectively ranges from 1.93 % to 21.07 %, 1.49 %–19.59 %, and 0.88 %–16.28 %, with sensor drift from 5 % to 25 % under each category.

Measurement SensorsVol. 38
National Metrology Centre (SG)
Affordable and clean energy
Openalex Percentile: Top 99%
Engineering Applied Research
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Energy consumption analysis under demand-controlled ventilation due to drift of indoor air quality sensor — Shan Cui, Yan Zeng · Measurement Sensors (2025) | TGRS Research Map | TGRS