Estimation of Human Occupancy in Enclosed Spaces Using CO₂ Sensor Data and Statistical Modeling for HVAC Control Applications
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F25%3A10259333" target="_blank" >RIV/61989100:27350/25:10259333 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.e3s-conferences.org/articles/e3sconf/abs/2025/67/e3sconf_aee2025_01008/e3sconf_aee2025_01008.html" target="_blank" >https://www.e3s-conferences.org/articles/e3sconf/abs/2025/67/e3sconf_aee2025_01008/e3sconf_aee2025_01008.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/e3sconf/202566701008" target="_blank" >10.1051/e3sconf/202566701008</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of Human Occupancy in Enclosed Spaces Using CO₂ Sensor Data and Statistical Modeling for HVAC Control Applications
Popis výsledku v původním jazyce
This study investigates the estimation of human occupancy in enclosed indoor spaces using CO₂ concentration data obtained from a low-cost sensor. An experimental campaign was conducted in a naturally ventilated university classroom, where CO₂ levels and the number of occupants were recorded under controlled conditions. Statistical analysis, including linear regression and correlation methods, confirmed a strong positive relationship between occupancy and CO₂ accumulation. The selected NDIR sensor (MH-Z16), integrated with an ESP32-based microcontroller, demonstrated sufficient sensitivity and stability for real-time data acquisition. The results validate the use of CO₂ concentration as a reliable indirect indicator of human presence, particularly under standardized conditions with minimal external disturbances. The proposed approach offers a cost-effective and scalable solution for demand-controlled ventilation (DCV) in smart building applications, contributing to energy-efficient HVAC control and proactive indoor air quality and workplace safety management.
Název v anglickém jazyce
Estimation of Human Occupancy in Enclosed Spaces Using CO₂ Sensor Data and Statistical Modeling for HVAC Control Applications
Popis výsledku anglicky
This study investigates the estimation of human occupancy in enclosed indoor spaces using CO₂ concentration data obtained from a low-cost sensor. An experimental campaign was conducted in a naturally ventilated university classroom, where CO₂ levels and the number of occupants were recorded under controlled conditions. Statistical analysis, including linear regression and correlation methods, confirmed a strong positive relationship between occupancy and CO₂ accumulation. The selected NDIR sensor (MH-Z16), integrated with an ESP32-based microcontroller, demonstrated sufficient sensitivity and stability for real-time data acquisition. The results validate the use of CO₂ concentration as a reliable indirect indicator of human presence, particularly under standardized conditions with minimal external disturbances. The proposed approach offers a cost-effective and scalable solution for demand-controlled ventilation (DCV) in smart building applications, contributing to energy-efficient HVAC control and proactive indoor air quality and workplace safety management.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/TM04000003" target="_blank" >TM04000003: Výzkum a vývoj inteligentního filtračního systému pro klimatizace a ventilace ve veřejné dopravě a vývoj autonomní jednotky pro zlepšení kvality ovzduší v průmyslu</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
E3S Web of Conferences. Volume 667
ISBN
—
ISSN
2267-1242
e-ISSN
2267-1242
Počet stran výsledku
14
Strana od-do
1-14
Název nakladatele
EDP Sciences
Místo vydání
Les Ulis
Místo konání akce
Ostrava
Datum konání akce
26. 11. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—