ARCHIVED - Demand Response Implementation for Improved System Efficiency in Remote Communities

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Authors: Tarek El-Fouly and Steven Wong, CanmetENERGY and Michael Wrinch and Greg Dennis, Pulse Energy

CETC number: 2012-228

Publication date: 2012-10-26

Abstract:

This paper evaluates the performance of a demand response (DR) system, installed in the remote community of Hartley Bay, British Columbia, which is used to reduce fuel consumption during periods of peak loads and poor fuel efficiency. The DR system, installed to shed load during these periods, is capable of shedding up to 15% of maximum demand by adjusting wireless variable thermostats and load controllers on hot water heaters and ventilation systems in commercial buildings. The system was found to be successful in reducing demand by up to 35 kW during the DR event period, but caused a new, time-shifted “rebound” peak of 30 to 50% following each event. A DR "staggering" method is introduced as a tool for reducing and delaying rebound without affecting occupant comfort and safety.

In this work, load prediction models based on linear regression and averaging of historical data were also developed for measuring DR shed and rebound, with models based on averaging found to produce more accurate baselines. 

For more information about CanmetENERGY’s activities related to demand response, visit the Smart Grid section of the website.