Case Study

RESULTS POWERED BY
ENCYCLE’S PATENTED

Swarm Logic achieves 27% peak reduction and 70% demand reduction for THESI.

Case Study: Toronto Hydro Energy Services Belfield Facility

Energy Services Company

Toronto Hydro Energy Services (THESI) is a professional services company focused on helping businesses, property managers, industrial facilities, institutions, and government reduce their energy consumption and realize sustainable energy savings and is the energy management subsidiary of Toronto Hydro Corporation. They are firmly committed to energy conservation and renewable energy initiatives. Toronto Hydro Energy Services is the choice of many of Canada's leading companies including retailers, manufacturers and multi-residential building owners and managers, commercial offices and municipalities.

Client Challenge
  1. A. Achieve a data capture of at least 95% over the 60 day trial monitoring period of the loads connected to Encycle’s controllers
  2. B. Achieve a demand-managed reduction from baseline peak of at least 20% without affecting occupant comfort
  3. C. Achieve a demand reduction effect of at least 40% from baseline
Swarm Logic Solution
Swarm Installed: 2007

As part of their ongoing study of new technologies, THESI chose to evaluate Encycle’s demand management and demand response technologies. Encycle initially installed its controllers on rooftop HVAC compressors (to assess Demand Management capabilities), and attached additional controllers on hot water tanks and dimmable lighting circuits to assess the Demand Response functionality across HVAC, DHW, and lighting loads.

The Results

All three case study objectives were easily accomplished and even surpassed.

During the initial period of the project, Encycle undertook a continuous improvement process to boost reliability, achieving a +97% weekly reliability level. Baring the initial “shake-down” issues associated with the prototype nature of this early version of the controllers, message reliability was 98%, whereas including the initial period reduced overall message reliability to 96%, exceeding the project’s objective.

The difference between maximum baseline and DM (Direct Management) peaks was 24%. Interior temperatures and humidity levels did not differ materially between baseline and DM periods, indicating occupant comfort was not affected. Interestingly, the baseline peaks had a variance of almost 10 times that of DM peaks, proving that Encycle's DM technology successfully smoothes demand. A slight refinement of the natural duty cycle calculation would result in a difference between maximum baseline and DM peaks of 27%.

In a set of tests, Encycle's DR functionality was proven to achieve well over the target reduction, and in fact, reduced peak of almost 70% of the load under control.

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