Data Acquisition and Visualization for IEQ Assessment: A case study of daylight field measurement

Indoor environmental quality (IEQ) of buildings can have strong effects on occupants’ productivity and health. Post occupancy evaluation (POE) and associated processes have been emphasized as a crucial stage for energy conservation and occupants’ comfort and satisfaction of the building. Preliminary research has shown that POE supports opportunities for energy savings while meeting or exceeding IEQ standards. Current practice of mapping measured data with existing building components is manual and lack of flexibility of accommodating timeseries building performance measurements. In order to support POE, we propose an integrated process to automate the measured field data mapping to assist building performance visualisation. For the demonstration, we take the fullgrid lighting quality measurements in an unoccupied LEED gold certified building in Los Angeles, California, USA. The outcomes are presented to show how measured performance data can be updated with the associated building elements automatically. We further compare the measured and simulation data statistically and visually. Gaps between measured and simulated performance are also discussed.