Sudbury pilot delivers 3% electricity reduction with smart meter analytics
April 28, 2014 - Ecotagious—a provider of smart meter data analytics—says its pilot program with Greater Sudbury Hydro Inc. delivered a 3% reduction in electricity consumption for winter peaking utilities.
By Anthony Capkun
“This is the first high-impact, cost-effective conservation solution specifically designed for winter peaking utilities,” says Bruce Townson, Ecotagious CEO. “Utilities can drive conservation within the first month of deploying our solution, and without having to install any additional hardware.”
Sudbury Hydro’s peak demand occurs in the winter when many residential customers use electricity to heat their homes. To help reduce this winter peak demand, the utility deployed Ecotagious’ solution to target a random sample of their residential users of electric space heating. The solution uses ‘disaggregation’ software to convert smart meter data into personalized information to educate each customer on how much electricity they use to heat their home, then provide “personalized, relevant and, most of all, actionable recommendations” on how to save energy and money.
“It’s a win-win solution for Greater Sudbury Hydro and for our residential customers,” says Paula Tarini, the utility’s supervisor of conservation. “The pilot not only allowed our customers to save on their electricity bills, but it is also helping us to meet our share of Ontario’s conservation targets as set out in the Long-Term Energy Plan.”
Ecotagious plans to launch with other Ontario utilities, then expand to the rest of North America and Europe, helping utilities reduce their seasonal peak demand and reach conservation targets using a combination of smart meter data analytics and behavioural science.
“If this program was deployed throughout Ontario, consumers could collectively save about $50 million per winter on their electricity bill,” Townson continued. “But this is just the start. We are planning to deploy our solution this summer to help summer peaking utilities reduce their peak demand.”