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Challenge / Goal

Following the objectives outlined by the European Green Deal, TPC is helping to achieve the goal of complete carbon neutrality by 2050. Buildings are the single largest consumer of energy worldwide and account for almost 40% of total carbon dioxide emissions. This leaves us with the challenge of improving the energy efficiency of buildings, thereby reducing carbon dioxide emissions and contributing to sustainability efforts through the development of smart buildings and cities.

Our goal was to reduce both CO2 emissions and costs by 10-30%.


The Predictive Company has developed an energy efficiency software based on artificial intelligence for non-residential buildings that connects the internal data with external variables, creating a digital twin. A connection is made to the BMS (or SCADA system) of any building and from there, the necessary data to run our program is extrapolated. An accurate prediction of the building’s energy need is made, and the HVAC (heating, ventilation, air conditioning) machinery is optimised and automatised.  This results in energy savings and a reduction in CO2 emissions of up to 30% for any building.

The following are examples of successful implementations of our solution: 

  • Implementation of solutions in bank office, Potosi, which belongs to the Caixa d’Enginyers. TPC conducted an in-depth analysis of the building’s energy performance with particular emphasis on their HVAC performance. Both external and internal factors were considered by our intelligent algorithms after making a connection via the BMS of the building.
  • The second implementation was in a University Building, GAIA, located at the Polytechnic University of Catalonia in Barcelona. Areas of improvement were identified in their HVAC system, and external and internal variables were again combined to gather information about the building’s unique characteristics and energy needs. Through remotely and automatically controlling climate machines through an OPC (open platform communication), our solution resulted in hugely positive consequences for this building.


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Time period

Planning time: Less than 6 months

Implementation time: Less than 6 months


The Predictive Company

Service providers

The Predictive Company or/and the Facility Managers

End users

Tenants/Owners of the Buildings

    Main benefits

  • Decreasing energy consumption in buildings

  • Improving energy usage efficiency

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