Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities
This addresses energy management challenges for large-scale infrastructure like data centers, but appears incremental as it builds on existing multi-agent control concepts.
The paper tackles the problem of optimizing energy efficiency in data center environmental control systems by proposing a multi-agent architecture for distributed control of air-cooled chiller systems, resulting in improved responsiveness, operational robustness, and energy efficiency.
The increasing demand for energy-efficient solutions in large-scale infrastructure, particularly data centers, requires advanced control strategies to optimize environmental management systems. We propose a multi-agent architecture for distributed control of air-cooled chiller systems in data centers. Our vision employs autonomous agents to monitor and regulate local operational parameters and optimize system-wide efficiency. We demonstrate how this approach improves the responsiveness, operational robustness, and energy efficiency of the system, contributing to the broader goal of sustainable infrastructure management.