Relevance of CO2-based IAQ indicators: Feedback from long-term monitoring of three nearly zero-energy houses

López, María José Rueda; Guyot, Gaëlle; Golly, B.; Ondarts, M.; Würtz, Fréderic; Gonze, E.

doi:10.1016/j.jobe.2021.103350

Cited by 7 publications

(5 citation statements)

References 28 publications

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“…Also, standard NBN EN 16798-1:2019 (provided by technical committee of CEN: European Committee for Standardization) presents required indoor environmental input factors for design and assessment of energy performance of buildings, addressing the IAQ, as well as the thermal environment, lighting and acoustics. There are several remarkable studies in the literate which have partially/fully studied available air pollution guidelines and standards [47,[77][78][79][80][81][82][83].…”

Section: Definitionsmentioning

confidence: 99%

Scoping review of indoor air quality indexes: Characterization and applications

Pourkiaei

Romain

2023

Journal of Building Engineering

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Section: Definitionsmentioning

confidence: 99%

Scoping review of indoor air quality indexes: Characterization and applications

Pourkiaei

Romain

2023

Journal of Building Engineering

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“…The mean concentration control at different time scales has been considered in various studies [61][62][63]. There are no guidelines for set-points and time scales of CO 2 concentration.…”

Section: Determination Of Control Parameters For Iaqmentioning

confidence: 99%

Performance evaluation of ventilative cooling systems for buildings under different control parameters and strategies

Liu

et al. 2023

Journal of Building Engineering

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“…However, this indicator did not cover other common IAPs, such as PM 2.5 . Taking into account exposure levels, thresholds, and cumulative exposures, López et al [78] calculated and compared 10 different CO 2 -based IAQ indicators, including the mean CO 2 concentration, the mean concentration above a threshold value, the percentage of time spent in a concentration range, and cumulative exposures greater than a threshold value. However, the exposure limit values (ELVs) for IAP defined by WHO, European Commission, and authorities in 11 countries varied widely, even by order of magnitude for the same averaging exposure periods [75].…”

Section: Indicators Of Health Effects and Exposure Levelsmentioning

confidence: 99%

A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools

Dong

Goodman

Rajagopalan

2023

IJERPH

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Background: Indoor air quality (IAQ) in schools can affect the performance and health of occupants, especially young children. Increased public attention on IAQ during the COVID-19 pandemic and bushfires have boosted the development and application of data-driven models, such as artificial neural networks (ANNs) that can be used to predict levels of pollutants and indoor exposures. Methods: This review summarises the types and sources of indoor air pollutants (IAP) and the indicators of IAQ. This is followed by a systematic evaluation of ANNs as predictive models of IAQ in schools, including predictive neural network algorithms and modelling processes. The methods for article selection and inclusion followed a systematic, four-step process: identification, screening, eligibility, and inclusion. Results: After screening and selection, nine predictive papers were included in this review. Traditional ANNs were used most frequently, while recurrent neural networks (RNNs) models analysed time-series issues such as IAQ better. Meanwhile, current prediction research mainly focused on using indoor PM2.5 and CO2 concentrations as output variables in schools and did not cover common air pollutants. Although studies have highlighted the impact of school building parameters and occupancy parameters on IAQ, it is difficult to incorporate them in predictive models. Conclusions: This review presents the current state of IAQ predictive models and identifies the limitations and future research directions for schools.

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Relevance of CO2-based IAQ indicators: Feedback from long-term monitoring of three nearly zero-energy houses

Cited by 7 publications

References 28 publications

Scoping review of indoor air quality indexes: Characterization and applications

Scoping review of indoor air quality indexes: Characterization and applications

Performance evaluation of ventilative cooling systems for buildings under different control parameters and strategies

A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools

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