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TPC identified areas of improvement for the management of the HVAC systems of two buildings. We performed a building energy performance analysis using artificial intelligence techniques to make an accurate prediction of the energy needs of these buildings to reduce their energy inefficiencies.
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:
