Data centers are evolving from pure consumers of electricity into active elements of the energy system. Computing loads are growing and becoming more dynamic, cooling is shifting towards liquid and hybrid concepts, and operators are expected to do more with the energy they draw – and with the heat they produce.
The tasks are converging precise energy and power quality measurement, cooling that follows the load, waste heat recovery, integration of on-site generation and battery storage, and a grid connection that behaves predictably under fast load changes. Each of these is a control task – and increasingly, they depend on each other.
Your head start in data center automation with Beckhoff:
- one platform for measurement, plant control, energy management and grid connection
- open interfaces to integrate all systems flexibly
- consistent database for digital twin concepts and simulation of load scenarios
- solutions for AI-assisted engineering and operation
Data center automation
Power measurement for data center infrastructure
Every optimization starts with measurement. In a data center, that means knowing – in real time – what each rack, each circuit and each system actually draws, and what the power quality looks like along the way: from the incoming feeder through switchboards and UPS systems down to the individual rack. Retrofit metering layers deliver averages; operating an AI-era facility takes dynamics.
With PC-based control, power measurement is integrated directly into the control architecture: EtherCAT measurement terminals are installed in the electrical distribution system and provide time-synchronized data across the facility. This data supports monitoring, capacity planning and automated responses – creating a continuous measurement chain from the sensor to the cloud without the need for separate metering infrastructure to install and maintain.
From cooling load to usable energy
Cooling is the largest controllable load in a data center – and increasingly its greatest untapped resource. Rising rack densities are driving the adoption of liquid and hybrid cooling concepts that must respond dynamically to the actual IT load. At the same time, the heat extracted from servers can be reused by district heating networks and neighboring buildings.
With Beckhoff, cooling and heat recovery are controlled on a single automation platform. TwinCAT supports HVAC and cooling control, coordinating cooling circuits, heat pumps and heat transfer stations as an integrated system. Integrated energy measurement provides a clear overview of both cooling efficiency and the heat delivered.
Integrated control for energy generation and storage
More data centers are integrating their own energy assets, including photovoltaic systems, battery storage and backup generators that increasingly serve purposes beyond standby operation. While each asset is straightforward to manage individually, the challenge lies in coordinating them as a single system, especially when facility loads change faster than conventional plant control systems can respond.
This requires shared data, coordinated control and response times that make a measurable difference. A battery capable of buffering load changes within milliseconds is only as effective as the measurement and control loop surrounding it. With PC-based control, cycle times as low as 50 microseconds and EtherCAT communication, Beckhoff closes this loop – enabling the coordinated management of generation, storage and consumption on one open automation platform.
Smart grid integration and power management
The grid connection point is where the data center interfaces with the energy system – and where requirements are evolving most rapidly. Modern computing loads can change by several megawatts within milliseconds. At the same time, grid operators increasingly expect large facilities to remain predictable under these conditions, supporting grid voltage and frequency rather than compromising stability.
Predictable behavior at the grid connection point is an engineering result. It requires synchronized measurement across the entire power path, control performance fast enough to respond within the disturbance itself, and grid-code-compliant power plant functions. With Beckhoff, these functions run on the same open automation platform that controls the facility.
Unified control platform for data center automation
A data center relies on numerous systems, including cooling, power distribution, lighting, security and monitoring. Traditionally, each system has its own controller, engineering tools and data silo, making integration a separate project involving gateways and custom middleware.
PC-based control takes a different approach: one open automation platform for all control, measurement and visualization tasks. Industrial PCs scale from individual room controllers to facility-wide automation, while EtherCAT connects thousands of I/O points in real time. Support for BACnet, OPC UA, MQTT and other common communication protocols enables a flexible architecture that adapts to the facility – not the other way around.
FAQs on data center infrastructure
Beckhoff integrates energy measurement directly into the automation system. EtherCAT Terminals for power measurement, combined with SCT current transformers, capture current, voltage, power, harmonics and power-quality data in real time – from the main incoming supply to individual rack circuits.
The SCT portfolio includes ring-type and split-core current transformers. Split-core versions can be installed on existing cables without interrupting the circuit. EtherCAT distributed clocks synchronize measurement points with an accuracy well below one microsecond. Where detailed analysis is required, oversampling terminals can capture the actual waveform. This creates a continuous measurement chain without requiring separate metering infrastructure.
Yes. The heat removed from servers is low-grade energy that heat pumps can raise to temperatures suitable for district heating networks and neighboring buildings.
Effective heat recovery requires coordinated control of cooling circuits, heat pumps and heat transfer stations, together with measurement of the heat delivered. TwinCAT supports these functions within one engineering environment and provides a single platform for data center cooling control.
Modern computing loads can change by several megawatts within milliseconds. To buffer these load changes, the storage system must detect the event, determine the required response and command the power converter before the effect reaches the grid connection point.
The achievable response time depends on the complete measurement and control loop. PC- and EtherCAT-based control, with cycle times as low as 50 microseconds, enables high-speed control loops for coordinated battery storage operation.
Data centers can support predictable grid behavior through precise, time-synchronized measurement across the entire power path, fast plant control and grid-code-compliant power plant functions.
These functions include reactive power control, active power management and fault ride-through. On an open automation platform, they can operate in the same control environment that already controls the facility, enabling coordinated responses in the millisecond range.
Beckhoff technology supports common building and industrial communication protocols, including BACnet, OPC UA, MQTT and Modbus. This enables the exchange of measurement and control data with existing BMS, SCADA and DCIM platforms through standardized interfaces.
TwinCAT can operate as the building management level, with web-based visualization based on TwinCAT HMI accessible from any device. It can also be integrated as a subsystem within an existing BMS, SCADA or DCIM architecture.
Yes. TwinCAT Machine Learning enables trained machine learning models to run directly in the real-time control environment. Applications such as anomaly detection based on power-quality data or load forecasting can therefore be executed in the controller, alongside measurement and control functions.
For engineering, TwinCAT CoAgent provides AI-supported assistance within the development environment. MATLAB® and Simulink® integration allows control strategies, such as cooling concepts or storage strategies, to be validated against simulated load scenarios before commissioning.