Sensor System Inaccuracy Is Costing You
Faulty sensor data can lead to significant operational and capital investment risks. In the world of data center monitoring, accurate sensor data is crucial for ensuring smooth operations and avoiding costly downtimes. Calibration of Building Management System (BMS) sensors is no longer optional—it’s essential for optimizing performance, ensuring sustainability, and controlling costs.


1 in 4 Sensors
Are Out of Tolerance
Many data center sensors are found to be inaccurately calibrated, which which can lead to wasted water and energy—resources that data centers can’t afford to squander. Inaccurate sensors can result in unreliable information, potentially causing severe operational failures.
The Rise of AI
The increased use of artificial intelligence and machine learning has significantly raised energy and water consumption. Managing these critical resources effectively is more important than ever for the sustainability of data centers. Effective data center management begins with precise measurement, from controlling cooling systems to monitoring key performance indicators.
The Importance of Sustainability
Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE) are crucial metrics for data centers. Accurate sensor measurements are essential for managing these metrics effectively, particularly as the demand for electricity in mission-critical data centers is projected to double by 2026. In the U.S., this demand is expected to reach 6% of total electricity usage.
Data centers currently account for 2% of global electricity demand, a figure expected to rise significantly. With cooling requirements making up 40% of this demand, precise measurement and management of energy and water resources are critical for operational efficiency and sustainability.
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