How Belimo Energy Valve™ Trend Data Simplifies Data Center Troubleshooting

Hydronic systems have long supported data center cooling, but as today’s high-density servers and GPUs generate unprecedented heat loads and represent increasingly significant technology investments, they have become more critical than ever.

“When a problem occurs, customers want to know exactly what happened and how to prevent it from happening again,” says Ken Duncan, Lead Regional Application Consultant for Data Centers at Belimo and a member of ASHRAE Technical Committee 9.9. “The Energy Valve’s trend data gives us the information we need to identify the cause and recommend corrective actions to prevent a recurrence.”

By automatically recording operational data directly at the point of control, the Energy Valve provides an independent record of system operation. This allows data center teams to compare the command sent to the valve with actual flow, valve position, temperature, and operating mode during a cooling event.

These onboard records can help data center teams reconstruct cooling events, distinguish between possible causes of a problem, and make better-supported maintenance decisions. That visibility is particularly valuable as higher heat loads and increasingly costly computing equipment raise the stakes when cooling-system problems occur, especially in liquid-cooled applications where hydronic performance directly affects server equipment.

An Independent Record of System Operation

Building control systems can provide valuable historical information, but trend logs are not always configured to capture the data needed after an incident.

“The Energy Valve records operational data automatically,” Duncan says. “There is no additional labor required to set up trend logs. If a problem occurs, I can import the data into the analysis tool, identify an anomaly, and narrow the view until I can see exactly what happened.”

The Belimo Energy Valve Analysis Tool allows teams to review the valve’s non-proprietary CSV files and compare the commands received by the valve with its position, operating mode, and resulting flow. Because the files are stored in a standard CSV format, they can also be reviewed in spreadsheet software such as Excel or other applications that support CSV files.

Reconstructing a Cooling Interruption

In one field example, several server racks overheated and went offline. The data center team needed to determine exactly what had happened and how to prevent it from recurring. The required building control system trend logs had not been configured, but the Energy Valves had retained their own operational data.

Analysis showed that the affected valves had received a near-zero flow command, between 0% and approximately 1%, while the valves serving unaffected racks continued receiving an approximately 80% command and maintained flow. The trend data ultimately traced the interruption to a building control system firmware reload. During the recovery period, the control system issued commands that caused the affected valves to close.

“The customer’s primary concern was not assigning blame,” Duncan says. “The customer wanted a definitive explanation of what happened and a way to ensure it would not happen again. The onboard trend information allowed us to provide that explanation and recommend changes to the sequence of operations.”

For the data center owner, the value was clarity. Instead of replacing components based on assumptions, the team could address the underlying control sequence and reduce the risk of another interruption.

Directing Attention to the Right Equipment

In another example, the control system provided a relatively consistent command, but the measured flow fluctuated significantly. Comparing the command, valve position, and actual flow showed that the investigation needed to move upstream. The cause was traced to CDU pumps that were hunting because their control loops were not properly tuned.

“When flow is unstable, the valve is one of the first places people may look,” Duncan says. “Trend data lets us see whether the valve is causing the problem or responding to instability elsewhere. That can quickly point the customer toward the right equipment and the right specialists.”

This insight can shorten troubleshooting, avoid unnecessary component replacement, and help data center teams focus their resources on the most likely cause.

Recognizing Air in the Hydronic System

Changes in the valve’s operating mode can provide another diagnostic clue. If an Energy Valve operating in flow-control mode detects air bubbles and cannot obtain a reliable flow measurement, the valve records a flow-sensor error and switches to position-control mode as a protective fallback.

“If I see the valve repeatedly switching between flow control and position control, I know to investigate air in the system,” Duncan explains. “Instead of spending hours examining every available trend, I can focus the customer’s attention on bleeding the system or checking the fluid-management equipment.”

From Troubleshooting to Preventive Maintenance

The same data can help identify developing problems before they produce an interruption. Changes in flow, valve position, temperature, or operating mode may indicate restricted flow, air in the system, unstable equipment, or changing hydraulic conditions.

Local analytical systems can evaluate data from multiple Energy Valves and identify developing issues by monitoring changes in flow, temperature, valve position, and operating mode across thousands of cooling devices. For example, declining flow combined with changing temperature conditions could indicate contamination or an obstruction within a cold plate used in direct-to-chip cooling. The system can identify the affected location and recommend inspection while facility personnel retain control over the operational response.

“At a large data center, no individual can continuously analyze the information from every cooling device,” Duncan says. “Onboard data creates the foundation for analytics that can identify anomalies, support preventive maintenance, and tell the team where to look.”

Energy Valve trend data therefore provides more than a record of valve operation. Combined with knowledgeable hydronic analysis, it gives data center teams greater visibility into the cooling infrastructure protecting their computing equipment.

That visibility helps customers troubleshoot faster, reduce uncertainty, prevent recurring problems, and make informed decisions that protect uptime as well as their technology investments.