Preparation of an Indoor Air Quality Baseline Model for School Retrofitting Using Automated and Semi-Automated Calibrations: The Case Study in South Korea

School retrofitting should aim to not only improve its energy performance, but also maintain a good IAQ. An optimal combination of measures must be selected by considering the transient state changes outdoor and built environments. Although simulation is an effective platform evaluate measure candidates, there general lack practical methods for practitioners collect field data prepare reliable IAQ baseline model within project timeline. This study suggests suite tools generate classroom baseline, which includes standardized diagnostic scenarios based on common practices measurement protocols IAQs; intend quantify dilution filtration capabilities classrooms through deposition, infiltration, natural/mechanical ventilations when high concentration observed; first principle developed normalize measurement, fitted against adjusting parameter values. In order save time effort practitioners, automated semi-automated calibrations that run in short are developed. While performed better some cases, than ones many CV-RMSE were smaller, between −7% −0.5%. Meanwhile, it took comparably larger longer (>1 h worst cases) heuristic have similar accuracy with machine-driven calibrations. If structure suffers problem modeler intervene this case, semi-automation can tool practitioner intuitively determine from variables start calibration.