Post-occupancy Evaluation for Energy Conservation, Superior IEQ & Increased Occupant Satisfaction
2013
This paper proposes a method comprising procedures to
calibrate an EnergyPlus whole building energy model.
An occupant behavior data mining procedure is
developed and tested in an office building. Workday
occupancy schedules are generated by mining the office
appliance energy consumption data. Hourly and
monthly power, energy, and temperature data are
collected and used for lighting, equipment and HVAC
systems energy performance calibration. The result
shows a 1.27% mean bias error for the total annual
energy use intensity. The proposed calibration method
provides a scientific and systematic framework to
conduct high accuracy EnergyPlus model calibration.
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