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This forum addressed the next steps for green buildings in achieving carbon neutrality, moving beyond conventional methods to explore new technological shifts. The discussions highlighted Korea's significant dependence on imported energy and the limitations of current solutions like hydrogen fuel cells, which face challenges with economic viability and emissions. The central theme was overcoming the shortcomings of traditional Building Energy Management Systems (BEMS), which are often underutilized due to complexity and a lack of expert staff.
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Researchers introduced a transformative approach using advanced AI, centered on neuromorphic (brain-inspired) AI to analyze basic electrical patterns from distribution panels, allowing the system to infer building activity without costly sensors. This is paired with federated learning, a technique that trains a central AI model without compromising the data privacy of individual buildings.
Practical case studies grounded these futuristic concepts, demonstrating that even simple, occupant-involved control strategies could significantly reduce gas use. The forum's key takeaway was the clear shift toward creating autonomous, intelligent energy management systems. The vision is for AI agents to act as digital "facility managers," solving persistent real-world problems of high implementation costs and the shortage of specialized personnel.