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

November 2009
U.S. Department of Energy, Ernest Orlando Lawrence Berkeley National Laboratory
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

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.