Energy optimization system

in buildings


A system for optimizing energy in buildings using artificial intelligence

Energy optimization system in buildings using artificial intelligence

The system uses artificial intelligence technology to proactively optimize the energy consumption of one of the biggest sources of climate change in buildings.

The system supports a self-service building that does not require human intervention. Using machine learning and cloud-based data processing, this solution autonomously optimizes existing heating, ventilation and air conditioning (HVAC) control systems for maximum energy savings resulting in:

  • 25-35%
    reduction in total energy costs
  • 60%
    improvement in tenant comfort
  • 20-40%
    reduction in carbon footprint                                                                                               

Harnessing the power of artificial intelligence

HVAC systems account for 51% of total energy use in commercial buildings. Inefficient and poorly designed systems are expensive to operate, often ineffective in maintaining tenant comfort levels and a major source of greenhouse gases. The artificial intelligence core of the system is designed to deliver significant savings and dramatically reduce carbon emissions, enabling a self-operating building and moving from reactive to preventative HVAC control in three steps:

  • Step 1
    Learning building behavior

    The system identifies your building's specific operating behavior and energy flow by collecting data from both the building and external sources. It thus creates an energy profile of the building to make predictions about future energy flow.

    The system collects hundreds of thousands of real-time data points such as outdoor temperature, fan speed, duct pressure, indoor temperature, humidity level, tenant concentration and more.

  • Step 2
    Optimizing Energy Flow
    Using real-time artificial intelligence algorithms, the system will instruct your existing HVAC to work smarter and more efficiently.

    This process is similar to the auto-pilot in a self-driving car.

  • Step 3                                                                                             

    Constant improvement 

    The system constantly analyzes all data generated by the building, optimizes operational efficiency and reveals the behavior of the building in areas such as:

    How do changes in occupancy levels affect energy consumption?

    Which HVAC units are the most energy efficient in cold or humid climates? ​​​​​​​