Dynamic Cooling Management System - A.I.-driven system that optimizes the environment in data centers, telecoms and other commercial buildings while reducing energy and CO2 emissions.
Data centers consume ~ 420 terawatt hours per annum, or 3% of global electricity consumption. Cooling, which accounts for 40% of overall data center energy use (~ 168 TWh) is needed to keep critical IT applications running. However, if temperatures exceed certain thresholds, bad things happen. Cooling optimization is a challenging, multivariate and dynamic problem. The Solution uses machine learning and predictive control to meet specified environmental requirements and service level agreements in an efficient and sustainable way. Machine learning is used to train an Influence Model, which is used by predictive control software to make decisions about which cooling units to dispatch to extinguish hot spots, and to allocate capacity across a set of cooling units to optimize efficiency. Vigilent has solved the “exploitation vs exploration” conflict of reinforcement learning in the demanding mission critical facility industry by building intelligence into standard operating strategies such as machine rotation. The system supports open protocols such as BACnet and Modbus that enable seamless integration with other IT and facility management solutions
Networking PartnerCleantech Group
The Cleantech Group is a company that supports the development and marketability of clean technologies. The Cleantech Group provides members of its Cleantech network access to capital, investors, research and promotional opportunities. The group also provides advisory services for large corporations and governments.
Founded in 2002, the Cleantech Group owns the term "cleantech" as a registered trademark.
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