Meliusense technology can help prevent energy loss in commercial buildings in Canada through a combination of real-time monitoring, AI-powered analytics, predictive maintenance, and automation. Here’s a breakdown of how it works and why it’s valuable specifically for Canadian commercial buildings:
🔍 1. Real-Time Energy Monitoring
Meliusense uses sensors and smart meters to track energy consumption at a granular level—room by room, equipment by equipment.
Benefits: Identifies abnormal spikes, leaks, or inefficiencies (e.g., HVAC running during unoccupied hours).
Canadian Context: This is especially important in Canada’s harsh winters, where heating inefficiencies can cause major energy loss.
🤖 2. AI and Machine Learning Optimization
Their AI analyzes building usage patterns, weather conditions, and occupancy to recommend or automatically adjust systems.
Example: Optimizing HVAC operation based on occupancy and weather forecasts.
Canadian Context: Adapts heating and ventilation in response to dramatic temperature changes across seasons and provinces.
🧰 3. Predictive Maintenance
By monitoring system performance, Meliusense can detect early signs of equipment failure or degradation (e.g., dirty filters, failing fans).
Result: Prevents energy waste from malfunctioning or inefficient systems.
Canadian Context: Essential for heating systems, which operate heavily during long winters.
🏢 4. Automation & Smart Controls
Meliusense can integrate with Building Management Systems (BMS) to automate lighting, heating, cooling, and ventilation.
Example: Automatically dimming lights or reducing ventilation in unused areas.
Canadian Context: Helps buildings comply with stricter provincial energy codes (e.g., Ontario’s SB-10 or British Columbia’s Energy Step Code).
đź“Š 5. Data-Driven Reporting for Compliance & Rebates
Provides detailed reporting to support energy audits, carbon reporting, and participation in government incentive programs.
Canadian Context: Helps qualify for energy efficiency rebates (e.g., NRCan incentives, provincial utility programs like BC Hydro or Hydro Québec).
đź’ˇ Use Case Example
A Toronto office building installs Meliusense to monitor its HVAC and lighting systems. The AI detects that heating is running at full power every weekend despite no occupancy. After correcting the schedule, the building reduces heating costs by 18% over winter. Additionally, the data supports an application for an Enbridge Gas retrofit incentive.
