Power quality issues can cause serious damage to your IT equipment. Siemens solutions measure, analyse and detect anomalies in real time, using advanced analytics to prevent disruptions, cut downtime and ensure reliable, uninterrupted operations.
Challenge
Power quality is an often overlooked factor in data centre uptime. In large buildings, renewables add grid volatility, and on-site generation makes distribution more complex. Poor power quality can cause equipment failures and expensive downtime.
Solution
Power quality monitoring integrated directly into your EMS or BMS system helps anticipate disruptions. The power quality instruments detect anomalies and send this data back to the energy management system, enabling proactive action.
Deploy power quality meters at various points in the power distribution network to measure critical parameters such as voltage, harmonics, flickers and transients.
Evaluate the collected data to determine if the electrical energy quality meets acceptable standards.
Detect deviations from standards, indicating potential problems like voltage fluctuations or harmonics.
Reducing harmonic distortion and other disturbancesminimizes energy losses and improves the overallefficiency of electrical equipment.
An integrated BMS and EPMS delivers visibility into electrical, cooling, and environmental performance, enabling operators to correlate disturbances, run analytics, detect anomalies faster, and manage infrastructure holistically.
With the SENTRON Powermanager, protect uptime by measuring voltage, harmonics, flickers and transients across your network. Gain greater reliability by analysing data to confirm that the energy quality meets the required standards. Avoid costly failures by detecting voltage fluctuations or harmonics early. Act faster with continuous monitoring and real-time alerts to manage disruptions. And stay ahead with advanced analytics that prevent issues before they impact operations.
Whether you’re building a new data center or modernizing an existing one, Siemens provides the expertise, software, hardware, and services to manage and analyze power quality issues in your network.
Discuss operational goals, uptime targets, and key performance indicators with experts such as Siemens PTI consultants. Identify where power quality measurements are required, such as grid infeed, automatic transfer switches, UPS systems, distribution units, cooling systems, and server racks.
Define the power quality monitoring architecture and determine optimal placement of measurement devices. Ensure the design supports relevant standards, redundancy requirements, and open communication protocols such as IEC 61850 or Modbus TCP.
Install power quality instruments such as SICAM Q100/Q200 at critical points in the power distribution network to capture parameters including harmonics, voltage sags and swells, transients, and frequency variations.
Use SENTRON Powermanager with the PQ Advisor module to visualize power quality data, analyze disturbances, and create reports based on EN 50160. Dashboards support real-time event tracking, ITIC diagrams, and harmonic analysis. Integration with Desigo CC combines EPMS and BMS data.
Company: Greenergy Data Centers
Location: Estonia
Siemens solutions: Integrated BMS-EPMS, power quality, white space cooling optimization (WSCO), low voltage power distribution
With their own 110 kV substation feeding power directly from the grid, Greenergy Data Centers implemented an integrated BMS–EPMS platform to monitor their power quality across HV/MV, LV, UPS, and third-party devices. The EPMS is connected to the network provided by their customers, and it all communicates with the BMS system.
Siemens provided not only the necessary hardware and software, but also the technical solution consulting throughout the project. Learn more!
Get detailed insights into power quality monitoring in data centers, including typical disturbances, weak spots, and measurement concepts.
Power quality anomalies, such as transients and harmonic distortions, can significantly damage IT equipment and power delivery. An integrated, AI-driven management approach can help address these issues more effectively.
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