Turning AI-Based Insights into Energy Savings Recommendations

In today's rapidly evolving landscape, leveraging AI-based insights to drive energy savings is more crucial than ever. With Johnson Controls' OpenBlue, customers in the UK can achieve up to a 30% reduction in energy spend, a 20% reduction in maintenance costs, and 10% more optimized space utilisation1. This not only benefits the environment but also significantly improves the bottom line. 

OpenBlue Enterprise Manager is at the forefront of the shift towards autonomous buildings, integrating advanced AI capabilities to provide real-time data visibility across assets, people, and processes. The single-pane-of-glass interface offers a comprehensive view of your building's live activity, enabling more informed decision-making.

The latest features accelerate the journey towards building autonomy, enhancing sustainability and reducing operating costs. These advancements also pave the way for future AI enhancements that will align with globally accepted regulatory standards and real-time operating conditions, ensuring savings are correlated with equipment performance and compliance.
 

Turning Insights into Energy Savings Using Generative AI

The integration of generative AI tools in OpenBlue Enterprise Manager marks a significant leap forward. These tools proactively recommend the most impactful energy savings projects, eliminating the need to manually analyse vast amounts of building data. By anticipating common needs, such as analysing energy usage based on live weather data and chosen baselines, the system generates actionable insights that help reduce energy consumption and carbon emissions.

Additionally, OpenBlue Enterprise Manager supports both system and user-generated Energy Conservation Measures (ECM) projects. This allows for tracking energy conservation efforts across over 130 categories, enhancing data accuracy and flexibility in managing decarbonisation strategies.
 

Driving Toward Autonomous Buildings

The future of building management is autonomous. OpenBlue Enterprise Manager enables buildings to operate with minimal manual intervention, automatically adjusting setpoints based on fault diagnostics to save energy and capture potential savings more quickly. Users can choose between receiving advice or enabling autonomous controls, all while setting their own operational constraints.

"The expansion of customer-facing AI features into Johnson Controls OpenBlue marks a pivotal moment in the evolution of building management technology."  Vijay Sankaran, Chief Technology Officer at Johnson Controls

Refreshed User Experience

This release also brings major upgrades to the user experience, focusing on improved design, simplified navigation, and higher accessibility standards. The system supports personalization, allowing users to quickly view primary insights and take appropriate actions based on the context of the space, location, and equipment.

With an increased focus on space utilisation, OpenBlue Enterprise Manager provides a clearer picture of how spaces are used by building occupants. Detailed visitor insights across the entire portfolio of buildings enhance the understanding and management of visitor activities, aiding in intelligent planning when anomalies occur.

Operators can schedule services, such as facility cleaning, based on detailed occupancy insights, saving resources and money. Updates also support improved indoor air quality (IAQ) monitoring with a broader ecosystem of sensor partners, aligning with the trend towards smarter, healthier buildings.

Click here to find out more about OpenBlue Enterprise Manager.