Save Energy with Artificial Intelligence

Use Case

Efficient and sustainable HVAC systems

As energy regulations increase in the middle of the global climate change debate, we see additional pressure on real estate managers and businesses to drive greater efficiency from their heating and cooling systems.

For larger buildings including offices, hotels, universities and more, replacing technical systems or refurbish the building to meet regulations can be a daunting expense that is difficult to meet.

A pioneering technology uses a costeffective approach: getting the most out of existing systems with the help of AI. The challenge is to find ways to reduce energy demand without sacrificing the comfort levels of the people within the buildings. Self-learning algorithms adapt to the buildings specifications and saves more than 20% on their heating and cooling energy and CO2.

Supported Industries

We have a solution

Rapid deployment of IoT connectivity, data collection, and applications.

This solution use case, provided by Recogizer Analytics on the MindSphere® platform, enables automated, predictive control of HVAC systems to improve energy efficiency.

For the perfect control strategy, all individual influences on energy consumption of the specific building are taken into account: weather, occupancy use and opening hours as well as complex plant contexts. With current measurement data and forecasts, cutting-edge AI algorithms continually learn and adapt more and more precisely to the building and its respective energy demand. As a result, HVAC systems operate at the most efficient levels to achieve desired comfort level within managed facilities and rooms.

The application is the perfect extension for every Building Management System, can be implemented fast and pays off very quickly.

Features

Predictive control of HVAC systems and real-time monitoring.
Integration of building-specific data, e.g. weather forecasts, occupancy data.
Intuitive dashboards reflecting KPIs, energy savings and more.
Easy asset and device management across your managed facilities.
Analyze trend data and set up alerts.

Benefits

Reduce energy consumption and CO2 emissions by more than 20%.
Always-on, 24x7 optimization without manual effort by the operator.
Low investment and fast implementation.
Increase in comfort of indoor climate.

How it works

Learn more about the applications and services that power this solution.

HVAC Control

Algorithms based on artificial intelligence allow customers to reduce the energy consumption and CO2 emissions of heating, ventilation, and air conditioning systems by more than 20%. HVAC Control is a self-learning system that improves comfort in buildings while reducing energy consumption – 24 hours a day, 7 days a week.

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Recogizer Analytics Professional Services

Recogizer Analytics offers a range of professional services to deploy this solution, depending on your needs, and accelerate your digital transformation. Services may include consulting, implementation, integration, customization and training.

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