EVALUATION OF METHODS FOR DETERMINING DEMAND-LIMITING SETPOINT TRAJECTORIES IN COMMERCIAL BUILDINGS USING SHORT-TERM DATA ANALYSIS
Kyoung-ho Lee, James E . Braun
This paper presents the evaluation of three different methods for determining zone temperature setpoint variations that limit peak electrical demand in buildings. The methods were developed in a companion paper (Lee and Braun 2006b) and are evaluated in the current paper through simulation for two different buildings. One of the buildings houses the Iowa Energy Center and is representative of a small commercial building. This building was modeled using a detailed inverse model that was developed in a previous study. The other building is the Santa Rosa Federal building, which is representative of a large commercial building. This building was modeled using Energy Plus, which was calibrated using test data. All three methods worked well in terms of peak demand reduction. In addition, two of the methods provided good predictions of peak load reduction for both buildings.
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