New Delhi, Jan 12
Enhanced machine learning and autonomous decision-making are joining forces to revolutionize energy efficiency and convenience. Honeywell and NXP Semiconductors N.V. have unveiled a collaborative initiative at CES 2024, signalling their commitment to optimizing the way commercial buildings perceive and control energy consumption.
According to the International Energy Agency (IEA), a substantial 30% of global final energy consumption and 26% of energy-related emissions stem from buildings’ operations. The decisions made today regarding energy management will profoundly influence future energy usage and potential savings. In response to this, modern smart energy solutions are increasingly integrating machine learning and data analytics to empower buildings with greater autonomy and enhanced energy efficiency.
This collaborative endeavour strives to elevate the intelligence of buildings by integrating NXP Semiconductors’ neural network-enabled industrial-grade applications processors into Honeywell’s building management systems (BMS). The initial focus of their Memorandum of Understanding (MOU) is directed at the Honeywell Optimizer Suite—an adaptable, future-proofed platform for building control and automation.
Beyond these specifics, the broader aspiration is to deliver intelligent energy solutions driven by AI, machine learning, and data analytics. The goal extends to enhancing building autonomy, promoting energy efficiency, and providing guidance for service technicians. The collaboration seeks to maximize the potential of NXP’s neural network-enabled i.MX chipset, thereby further enhancing Honeywell’s BMS product offerings.
Suresh Venkatarayalu, Honeywell’s chief technology officer, emphasizes the growing reliance on data and automation to enhance sustainability and efficiency in buildings. The partnership is set to capitalize on NXP’s advanced portfolio and Honeywell’s expertise, envisioning a smarter and more connected world.
By leveraging NXP’s scalable semiconductor and software solutions, such as the i.MX 8M applications processors and i.MX RT crossover microcontrollers, Honeywell aims to facilitate real-time observation, learning, and adaptation in on-site BMS equipment. This process is further augmented by cloud-based big data analytics through the Honeywell Forge analytics solutions. The ultimate outcome is the empowerment of buildings with improved foresight and insight, optimizing energy usage and contributing to enhanced sustainability.