Impact of using measured weather data vs TMY weather data in a DOE-2 simulation

DOE-2 and BLAST hourly building energy simulation models are effective methods of simulating the energy use in new buildings during the design stage. Although these models are increasingly being used to evaluate retrofits in existing buildings and for evaluations of demand-side management (DSM), little agreement exists among the users as to how to calibrate the simulation to measured data from a building. Hence in this article, an attempt is made to evaluate the impact of using measured weather data vs. TMY weather data for a DOE-2 simulation of a large institutional building in central Texas. Results from the application of the procedure to simulated energy using TMY weather data and measured weather data repacked into TRY formats are compared to actual energy use. Additionally, specific recommendations concerning the impact of the use of measured weather data and the use of these analysis aids on the calibration of the DOE-2 program are presented.

Impact of using measured weather data vs TMY weather data in a DOE-2 simulation Conference Paper