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A Data-Driven Method for Determining Zone Temperature Trajectories that Minimize Peak Electrical Demand

Publication Date: December 2009
Publishing Organization: U.S. Department of Energy, Ernest Orlando Lawrence Berkeley National Laboratory
Format: PDF
Keywords:

Smart Grid,report,DOE - LBL,California,data,application,air conditioning,building zone temperature,critical demand periods,WA,peak cooling demand,simple approach,weighted-averaging,method,set-point variations,power demand,field evaluation,small commercial building,near-optimal set point trajectory,minimizing peak demand,demand-limiting period,baseline,conventional control,estimating,optimal set point trajectory,evaluate demand reduction,trajectories

Summary:

This paper extends the weighted-averaging (WA) method that estimates building zone temperature set-point variations that minimize peak cooling demand during critical demand periods to air conditioning power demand and presents the results of a field evaluation for a small commercial building.