Building on its award winning energy data and analytics platform, Verdigris is launching Adaptive Automation, an adaptive and autonomous building controls product.
Adaptive Automation focuses on commercial buildings and does for a building what a self-driving system does for a car. It enables building management systems (BMS) to operate while adapting to changing building conditions autonomously, ensuring continuous and maximized system performance without human intervention.
"Building infrastructure and management technology has not kept pace with the increasing complexity of the built environment," said Jonathan Chu, Verdigris' CTO. "The sheer number of possible operating configurations and nonlinear interdependencies make it difficult to understand and optimize a building with manual analysis and simple engineering formulas. You need a dynamic, machine-assisted approach."
Traditional building automation systems are designed to monitor and control based on periodically modeled and retuned setpoints. These returning periods can be quarters, years, or even longer intervals apart, leading to significant drift if building performance.
In contrast, Adaptive Automation takes advantage of technology advances in IoT sensors, pervasive wireless communications networks and artificial intelligence to continuously learn and predict building patterns. These capabilities make it possible to make dozens of adjustments daily to deliver optimally efficient building performance. Whether the changes are seasonal, or due to new equipment or occupant end-use, the Adaptive Automation optimization engine adapts automatically.
"Ensuring guest comfort and controlling energy consumption is a delicate balancing act for Grand Hyatt San Francisco," said Ken Keidan, Hyatt Hotels Corporation Director of Engineering. "Verdigris' new Adaptive Automation extension for their electrical energy management platform is making it a whole lot easier. We are reducing consumption annually without requiring action by our facilities team and zero impact on guest comfort."
Adaptive Automation's machine learning based approach makes it both scalable and cost-effective to implement in buildings as small as 20,000 square feet and as large as several million square feet.
"We see Adaptive Automation earn back in under a year and demonstrate real, verifiable dollar savings, meeting a key need for energy project managers and building operators who are thinking about how to demonstrate the financial viability of their projects in a field that often relies on modeled gains," said Mark Chung, Verdigris' CEO.
Adaptive Automation is available to US-based building owners and operators by application or invitation.
Verdigris | http://www.verdigris.co