The all-in-one solution, OpenBlue Performance Advisor from Johnson Controls, gives building operators the ability to reduce waste, energy use and water use and track metrics for sustainability, health and wellness.

The new application builds on the capabilities of OpenBlue Enterprise Manager with data tracking software, artificial intelligence and intuitive dashboards that support organizations working to achieve clean air and sustainability targets. The OpenBlue Performance Advisor follows indoor air quality and consumption and provides clean air and decarbonization recommendations in one easy-to-use comprehensive view. It supports the management of employee health and productivity and tenant experiences in addition to improving indoor air quality and comfort.

OpenBlue Enterprise Manager. Source: Johnson ControlsOpenBlue Enterprise Manager. Source: Johnson Controls

Combining various data sources into a single view simplifies the process of monitoring different factors and taking action. Rather than limiting users to one goal at a time, OpenBlue Performance Advisor allows them to make integrated choices with data silos. The proprietary algorithm measures zone size, occupancy, mask usage, weather forecasts and other parameters, and can predict the likelihood of infection spread. It also provides facilities managers with recommendations for improved building performance, such as maximizing disinfection and minimizing energy use, all to enable informed decision-making.

"Environmental, social and governance (ESG) factors continue to grow in importance for building owners and facilities managers in attracting additional investment and tenants. An all-in-one solution that supports elevation of ESG goals while also ensuring occupant safety and comfort addresses the priority needs of our customers in a single, elegant solution," said Mike Ellis, executive vice president and chief customer & digital officer at Johnson Controls.

The Performance Advisor application’s algorithms use historical operating data and space characteristics to build dynamic models for the various rooms within the building. The models predict future air quality, airflow and temperature and can then be used to optimize performance criteria. The application also leverages occupancy tracking data to optimize space utilization, supporting the movement of people from over-utilized to under-utilized areas, and suggesting adjustments to HVAC and lighting systems.

"These models are the first to predict the risk of airborne disease transmission in realistic building simulations, thus allowing HVAC systems to be optimized for public health, as well as comfort and energy efficiency," said Martin Z. Bazant, professor of Chemical Engineering and Mathematics at the Massachusetts Institute of Technology. Bazant collaborated with Johnson Controls on the accuracy of infection transmission and air flow models, the core underlying mathematical models for the Performance Advisor solution.

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