Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities

TL;DR

This paper proposes a multi-agent distributed control architecture for data center cooling systems, aiming to enhance energy efficiency, responsiveness, and robustness in environmental management.

Contribution

It introduces a novel multi-agent framework specifically designed for controlling air-cooled chillers in data centers, addressing energy efficiency and system responsiveness.

Findings

Improved energy efficiency in data center cooling

Enhanced system responsiveness and robustness

Potential for sustainable infrastructure management

Abstract

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.