Hanwha's AI Energy System Earns Fast Company Recognition Amid Data Center Power Surge

Data centers are consuming more electricity than ever, and the infrastructure to power them cannot expand fast enough. Hanwha, the South Korean conglomerate, announced on October 7 that its AI-powered energy management system, Energy Fluo, has been named to Fast Company's "2026 Next Big Things in Tech" list in the Applied AI category. The recognition arrives as the global data center industry faces an acute squeeze: demand for computing power is accelerating, but the grid and power infrastructure cannot keep pace.

Energy Fluo, developed by Transgrid Energy—a subsidiary of Hanwha Futureproof—is designed to solve a specific problem. Data centers are among the most power-hungry facilities on the grid, and they are growing more complex by the day. The system integrates data from power generation equipment, battery storage systems, cooling units, and IT loads, then uses machine learning and large language models to recommend real-time strategies for optimizing how that power is used. According to Hanwha, the technology can reduce electricity operating costs by 5 to 25 percent depending on site conditions. Fast Company highlighted the system's ability to autonomously monitor operations, identify problems, and determine response strategies—all while keeping humans in control of final decisions.

What distinguishes Energy Fluo is not just its technical capability but its architecture around safety and human authority. In March, the system became one of the first AI-enabled products worldwide to earn UL 3115 certification, a safety investigation framework specifically for AI-based systems. The design ensures that while the AI proposes optimization strategies, an operator must approve any change to actual power management. This human-in-the-loop approach means that even in the most complex power environments, people retain core decision-making authority.

Park Young-chun, CEO of Transgrid Energy, framed the challenge this way: data centers can no longer be managed one site at a time. Energy Fluo connects the grid, on-site generation, and battery storage into a single operating system, allowing operators to direct more power toward computing workloads and manage the entire facility from one intelligent interface. The system is already deployed across Prime Group's distributed edge data centers throughout the United States, providing a real-world test case that Fast Company cited in its announcement.

The timing of this recognition reflects a broader industry crisis. As AI computing demand explodes, data center power consumption is rising faster than utilities can build new infrastructure. Expanding power capacity typically takes years. Energy Fluo offers data center operators a near-term solution: maximize the computing capacity they can run within their existing power limits by optimizing how that power is allocated and used. This is not a luxury; it is increasingly a necessity for facilities facing hard constraints on available electricity.

Fast Company evaluates technologies across 31 categories annually, selecting those with potential to transform society. Previous honorees have included Google, Volvo, and Samsung Electronics. Brendan Vaughan, the publication's editor-in-chief, said the most exciting innovations are those that prove real-world impact beyond theoretical possibility. This year's selections, he noted, are tackling ambitious challenges with approaches that could fundamentally change the world ahead.

For Hanwha, the selection establishes a foothold to expand its energy management solutions business in the U.S. market. The Prime Group deployment across edge data centers nationwide represents the first commercial validation. The next frontier is likely hyperscale data center operators—the massive facilities run by cloud computing giants—which face even more acute power constraints. As data center power demand continues to surge, the ability to extract more computing capacity from existing infrastructure will only become more valuable.