Evaluation of housing stock indoor air quality models: A review of data requirements and model performance

To develop and evaluate housing strategies interventions for improving indoor air quality (IAQ) at a city or national scale, stock IAQ models are required. Without such models, reliable prediction of residential pollution concentrations exposures various spatial-temporal scales cannot be achieved. address the areas not covered by past review articles in performance modelling, this paper presents first comprehensive published during 2012–2020. Our was carried out to achieve three outcomes: (1) identify summarize fundamental modelling approaches including model assumptions, (2) methods (engineering and/or statistical), sampling methods, data sources use underlying computation (3) propose descriptive framework performative matrix. The resulted set 11 key attributes with which can evaluated terms requirements performance. improve robustness accuracy concentration exposure predictions, future should developed account dynamic interaction between heat transfer, inter-zone airflow contaminant transport through IAQ-Energy co-simulation.