Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

Denholm, P. ; Ong, S. ; Booten, C.

National Renewable Energy Laboratory (U.S.)

关键词: 25 Energy Storage;    Cold Storage;    Demand Response;    Energy Analysis;    24 Power Transmission And Distribution;   

DOI  :  10.2172/1046314
RP-ID  :  NREL/TP-6A20-54509
RP-ID  :  AC36-08GO28308
RP-ID  :  1046314

美国|英语

来源: UNT Digital Library

【 摘 要 】

This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.