Control Optimization
Predictive Analytics
Deep Learning
Data Engineering
Our goal is to help cities in their journey towards sustainability and carbon neutrality by connecting buildings to energy grid and weather data. Since the expansion of renewables in energy grids is steadily increasing, it becomes more and more important to use energy flexible and when it is available. Therefore, we have developed a solution, that not only helps to save emissions, but also uses buildings as a storage capability in the energy grid and helps to stabilize it. Every day, our system derives a forecast for the next day’s energy grid mix, weather conditions and the buildings utilization and capability to use energy flexible.
Based on that the system calculates an optimized control schedule for heating, ventilation, cooling, water heating, EV charging and other flexible appliances. The control schedule shifts energy usage towards renewables and minimizes the energy usage through a pro-active control.
THE AI4CITIES PROJECT promotes the use of AI to make Europe's cities more sustainable. Helsinki, Amsterdam, Copenhagen, Greater Paris, Stavanger and Tallinn are going through a Pre-Commercial Procurement (PCP) to find solutions to make their mobility and energy domains more carbon neutral. Out of the 41 proposed solutions which have been selected by the AI4Cities Buyers Group, Unetiq is currently in the top 7 suppliers that proceeds to the last phase of this competition. Starting from a very simple prototype of our vision, we have worked our way to the top of the competition, being recognized for our excellent expertise in AI and vision for the future of the solution. We are now deploying our solution to two Nordic cities, and this is only the beginning of what we see as the future of our building energy forecasting and optimization product. We strive to decrease Europe’s dependency on fossil fuels and drastically decrease CO2 emissions.
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.
Testing Setup:
Achieved Yearly Savings
With BEE's innovative approach achieves the following savings:
Next to optimizing the energy usage a day ahead, BEE also offers the possibility of short-term flexibility through our Virtual Power Plant capabilities in form of the Frequency Containment Reserve (FCR-N), where the building can be used to shave off peak loads from the energy grid. Building owners will be compensated for providing flexibility to the energy grid.
