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SALT LAKE CITY, Aug. 8, 2022 — PassiveLogic, creator of the first platform for total autonomy and a leader in artificial intelligence and machine learning research for high-performance industry-grade applications, is partnering with Pacific Northwest National Laboratory (PNNL). ) to further develop deep artificial intelligence for predictive building controls. A 24-month research collaboration funded by the U.S. Department of Energy (DOE) to improve the energy efficiency of four million buildings by 2030 focuses on SuperSellers, a foundational machine learning technology that enables self-management for all building applications.
“The only way to meet the world’s decarbonization goals is through breakthroughs in building automation and control,” said Troy Harvey, CEO, co-founder and technology architect at PassiveLogic. “PassiveLogic is solving the biggest technology challenge in the energy economy by developing the first autonomous platform for building and industrial systems to manage these systems in real time.
Buildings are the largest control system in the economy and the largest consumer of energy – almost twice the size of the transport market. PassiveLogic’s autonomous platform offers the industry’s first API for buildings, allowing anyone to develop their own applications with minimal programming and integration effort.
PNNL’s Autonomous Education and Research Group has initiated the PassiveLogic collaboration as a DOE tool to encourage public-private collaboration and advance technologies in the marketplace through a unique partnership called the Cooperative Research and Development Agreement (CRADA). DOE will fund PNLL with $1 million to contribute to PassiveLogic technology.
The agreement allows PNNL and PassiveLogic to jointly develop and implement their capabilities and technology to enable energy systems in buildings, such as heating and cooling units and lighting, to become fully autonomous, identifying and solving their own operational problems. They can facilitate their work by themselves.
“We are excited to work with PassiveLogic and advance energy efficiency for commercial buildings,” said Draguna Vrabi, Chief Data Scientist of the Information Science and Machine Intelligence Group and Leader of the Autonomous Learning and Reasoning Group. “Our work at PNLL is strengthened by working with private sector partners like PassiveLogic to develop use cases, data sets, and market access for R&D efforts to develop commercially viable applications.”
Earlier this year, PassiveLogic announced the launch of the Quantum Alliance – a collaborative effort between public and private entities to support the building industry towards full autonomy. DOEof PNNLAnd Brookfield. The Quantum Alliance aims to create an industry-focused consensus known as the Quantum Standard, a physics-based digital twin specification language.
About PassiveLogic
PassiveLogic is changing the future of the built environment by empowering autonomous building systems and providing the foundation for smart cities. Using revolutionary “deep physics” digital twins and AI-enabled forward-facing controls, they reimagined how we design, construct, operate, maintain and manage our buildings, and made this technology accessible to all types of buildings, large and small. New construction and remodeling. In a world plagued by climate change, PassiveLogic has developed a way to save a third of energy consumption by making buildings truly smart.
Source: PassiveLogic
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