European Union's Horizon 2020 research

BEE - Building Energy Efficiency

Shifting Buildings Energy Consumption to Renewables
team size
5 people
Technologies

Control Optimization

Forecasting

Data-Science

Data Integration

Data Engineering

Maturity Level
Proof-of-Concept

LESS EMISSIONS WITH ENERGY EFFICIENT BUILDINGS

THE AI4CITIES PROJECT is using AI to make Europe's cities more sustainable. Helsinki, Amsterdam, Copenhagen, Paris Region, Stavanger and Tallinn are looking for solutions to become carbon neutral within the next 20 years.

BEE - Building Energy Efficiency participates in this project by developing a building control optimization system, that will reduce the carbon emissions of a building by shifting its energy consumption to renewables and pro-actively controlling heating and ventilation.


SHIFTING ENERGY CONSUMPTION


Buildings offer a lot of flexibility in their electricity usage: water heating, cooling of rooms, electrical vehicle charging and many other tasks are variable regarding their execution time. Since fixed parameter settings control these tasks, they often get executed, when the energy grid mix has a high carbon coefficient. By forecasting the buildings energy demand and connecting it with a forecast of the energy grid mix, we can synchronize supply and demand and run energy-intensive tasks in times with high availability of renewables.

PRO-ACTIVE HVAC CONTROL


Most building management systems today are reactive, meaning they only react to temperature changes once they have measured it - usually with sensors inside the building.

This delayed reaction causes a continuous need for balancing out temperature peaks and is therefore wasting energy. To minimize the building’s reaction time, BEE automatically learns the buildings reactivity and combines this information with the weather forecast to pre-actively set the controls buildings for heating and ventilation. This not only results in more user comfort by keeping the inside temperatures stable, but also reduces energy consumption by avoiding consumption peaks.

The Impact

15% EMISSIONS REDUCTION

BEE aims to reduce emissions and energy consumption within buildings by at least 15%, while also improving the users comfort. In the current second phase of AI4Cities we are testing our approach on two buildings within the partnering cities.

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