HVAC controls optimization software
Published by Sally R AB


  • Model based optimization & Machine Learning
  • Easy Integration
  • Sensors
  • Reporting

Model based optimization & Machine Learning

ADA is based on a set of powerful algorithms which autonomously controls your HVAC system in an optimal way. The algorithms have been model to represent a HVAC system, both air climate and energy consumption as well as the changes in parameters and building usage.

Through measurements and data readings the calculations aim to find a way to ventilate that will provide a good indoor air quality at the lowest possible energy consumption. ADA is model based optimization, where the characteristics of the system is known. However Machine Learning is also applied in order to find correlations and patterns to further optimize the solution.

  • The service is integrated with existing equipment and via sensors, ADA measures the air quality indoors and outdoors and how it changes.
  • ADA calculates in real time the most economical solution for achieving specified air quality based on the parameters that affect it.
  • The system calculates optimal air flows to cope with the current load and adapts to the change in the load. This provides an even and stable indoor climate.
  • The system compares the indoor and outdoor air to find an optimal mixture of the air masses. This always provides the most optimal use of the air.
  • ADA is mainly suitable for large open spaces such as gyms, shopping malls and conference rooms.

Easy Integration

ADA is independent on system or producer, and can be easily integrated to the customers platform. Each case is quickly set up and customized based on property and system characteristics, which makes it easy to scale installations fast.


Achieving a good air quality in a building is the main basis for ADA, and sensors are used from both HVAC units and zone measurements. ADA works with all types of air quality sensors, wireless or not.

The basis for calculation is temperature and carbon dioxide, and other types of measurements can be added based on case and interest, such as humidity, volatile organic compounds, particulate matter and more. The sensors are routed into the BMS or directly to ADA through an API.


The solution generated a wide range of insightful data, such as occupancy of the building, energy performance and power outage, air quality trending and specific analysis of issues, such as high pressure drops etc.

Once ADA is up and running the data is available for reporting, either through our own interface or through a setup in the BMS directly or if requested, specific performance reports can be created, only available in Swedish at the moment.
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