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DeltaQ’s self-learning algorithms learn how a building behaves under varying internal and weather conditions. It will automatically and continuously optimize setpoints to anticipate outdoor temperature, solar irradiance, occupant behaviour, etc. This saves you precious time and reduces the number of comfort complaints
DeltaQ supports your contractual commitments and helps you improve your service. Our predictive control algorithms find the proper balance between comfort and energy savings and have no problem with the increasing complexity of energy systems in buildings.
DeltaQ provides detailed operational dashboards with advanced analytics, alert functionalities and even forecasted building conditions. Better insights allow you to identify key issues faster and help you prioritize your maintenance tasks.
DeltaQ is offered as a combination of a one-off activation fee and a yearly subscription fee.
We aim to offer DeltaQ service at a payback time less than 1 year for the first year (including the one-off activation fee) and less than 6 months as from year two.
To support that aim, we cap the yearly subscription fee to a percentage of the actual savings, thereby eliminating any financial risk for you as a client. The lower the actual savings, the less you will be charged. *
* Conditions subject to project specific characteristics.
DeltaQ’s self-learning algorithms learn how a building behaves under varying internal and weather conditions. DeltaQ will continuously maximize energy cost savings while ensuring optimal comfort.
During night-time DeltaQ will ensure just in time cooling of your building which results in an optimal energy consumption and a comfortable workplace.
During night-time DeltaQ will ensure just in time cooling of your building which results in an optimal energy consumption and a comfortable workplace.
Want to discover how DeltaQ predictive control facilitates building management?
Book a demo with one of the DeltaQ experts.
Meet up? See it in action?
Contact us.
Antwerpselaan 40
1000-Brussel
Belgium
