Real-Time Energy Monitoring
TrustBix, Sunterra Group
Various
BuildSense
Sunterra Group

This project deployed a three phased approach that uses technology to improve efficiency, sustainability, and operational excellence in agri-food buildings.

A traditional facility energy audit was followed up with the installation of IoT devices for ongoing real-time energy auditing. By utilizing machine learning and data science principles, predictive recommendations are made to improve operational efficiency based on weather, time of day, seasonality, and additional parameters specified by site operators. The data collected will further be utilized to identify facility upgrade recommendations that are based on environmental and economic factors.

Project Innovation

Real-Time Energy Monitoring

The intent of this pilot program is four-fold:

1.Identify opportunities to decrease operational costs, extend asset lifespan, and reduce energy-related greenhouse gas (GHG) emissions through identification of energy conservation measures and assessment of financial and environmental impacts of these measures.

2.Establish a “baseline” of pre-pilot program energy use and emissions intensity for use as a comparison point to measure future improvements against.

3.Serve as the basis for an expanded sustainability index through an in-depth assessment of site energy consumption and associated GHG emissions. This information can be combined with additional metrics related to the agri-food industry to create a comprehensive sustainability index providing quantifiable metrics of their operational environmental sustainability.

4.Provide benchmark values for energy use and emissions intensity for the various facility types within a portfolio, specifically for the agricultural sector which has no published energy use intensity benchmarks.

These facility-use based energy use intensity benchmarks will be included in a broader project undertaken by TrustBix and BuildSense to provide actionable, accurate energy use and emission intensity benchmark values for the Canadian agricultural sector.

Project Findings

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