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CO₂-based techniques for estimating ventilation rates are widely used in naturally ventilated educational buildings due to their simplicity, low cost, and non-invasiveness. However, their accuracy is limited by CO₂ measurement noise, uncertainties in CO₂ generation rates, and complex natural ventilation behavior. To address these issues, an adaptive particle filter algorithm was developed and validated it in a real built environment. Compared to existing methods (transient mass balance and extended Kalman filter), the new approach offers up to 10x more stable estimates and is more robust to sudden changes like window openings or occupancy shifts. It enables real-time estimation with a 1-minute resolution. Since the algorithm requires programming skills, an open-source, user-friendly software was designed to support practical implementation
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Universitat Politècnica de Catalunya
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From Apr 23, 2025
Worldwide
Scope: This project aims to optimize the ventilation strategies in educational centres taking into account the indoor air quality thermal comfort, energy consumption and global costs
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Title Natural ventilation rate estimation tool based on adaptive particle filter algorithm _NVAPF
CO₂-based techniques for estimating ventilation rates are widely used in naturally ventilated educational buildings due to their simplicity, low cost, and non-invasiveness. However, their accuracy is limited by CO₂ measurement noise, uncertainties in CO₂ generation rates, and complex natural ventilation behavior. To address these issues, an adaptive particle filter algorithm was developed and validated it in a real built environment. Compared to existing methods (transient mass balance and extended Kalman filter), the new approach offers up to 10x more stable estimates and is more robust to sudden changes like window openings or occupancy shifts. It enables real-time estimation with a 1-minute resolution. Since the algorithm requires programming skills, an open-source, user-friendly software was designed to support practical implementation
Work type Software and Database designs
Tags natural ventilation rate; co2 tracer gas; bayesia
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Registry info in Safe Creative
Identifier 2504231552119
Entry date Apr 23, 2025, 9:12 AM UTC
License All rights reserved
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All exploitation rights 100.00 %. Holder Universitat Politècnica de Catalunya. Date Apr 23, 2025. From Apr 23, 2025. Geographic coverage: Worldwide. Scope This project aims to optimize the ventilation strategies in educational centres taking into account the indoor air quality thermal comfort, energy consumption and global costs.
Information available at https://www.safecreative.org/work/2504231552119-natural-ventilation-rate-estimation-tool-based-on-adaptive-particle-filter-algorithm-_nvapf
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Registration: 2504231552119
