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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:
air conditioning, application, baseline, building zone temperature, california, conventional control, critical demand periods, data, demand-limiting period, doe - lbl, estimating, evaluate demand reduction, field evaluation, method, minimizing peak demand, near-optimal set point trajectory, optimal set point trajectory, peak cooling demand, power demand, report, set-point variations, simple approach, small commercial building, smart grid, trajectories, wa, weighted-averaging
- 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.
- Summary:
