Flow-Meter Selection Takes Focus in Data-Center Cooling Strategy
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Data Centre Magazine has published an expert article by Liz Majestic outlining common errors in selecting and operating flow meters for data-center cooling loops. The piece frames accurate flow measurement as a practical input to cooling optimisation, energy efficiency and facility reliability.
- The article addresses five common flow-meter selection and operating mistakes in data-center cooling systems.
- Cooling may account for 30–40% of total facility energy consumption, according to the article.
- Flow-meter technology must be matched to fluid and cooling-loop requirements; magnetic meters require conductive liquids.
- Advanced diagnostics and lifecycle monitoring can add operational value beyond basic measurement.
- The source is expert commentary, not a reported deployment, contract or data-center development.
Liz Majestic’s article in Data Centre Magazine examines five recurring mistakes in the selection of flow meters for data-center cooling systems and sets out approaches to avoid them.
The issues include choosing an unsuitable measurement technology, procuring only for current requirements, focusing solely on initial purchase price, and compromising equipment quality to reduce upfront cost. The article positions flow-meter selection as an operational-design decision rather than a narrow procurement exercise.
Accurate flow measurement can help operators optimise cooling loops, balance heat transfer and identify avoidable energy consumption. This is material because cooling may represent 30–40% of a facility’s total energy use, although the applicable share will vary by data-center design and operating conditions. The article also links reliable flow data to cooling-system management, availability and PUE.
The technologies referenced include Coriolis, magnetic, vortex, ultrasonic, differential-pressure and variable-area meters. Their suitability depends on the cooling-system application. Magnetic meters, for example, require an electrically conductive fluid and therefore are not appropriate for every cooling loop.
The article further highlights advanced diagnostics and lifecycle monitoring as capabilities available in modern flow meters. For operators managing rising compute loads and tighter energy targets, this suggests that the value of instrumentation may extend beyond initial cost to its contribution to operational efficiency, reliability and lifecycle management. This is an analytical implication rather than evidence of a specific equipment deployment or procurement.
Cooling can account for 30–40% of a data center’s total energy consumption, according to the article. Better flow data can support thermal balancing and reduce unnecessary cooling energy use, with implications for operational efficiency, availability and PUE.
- Data Centre Magazine / 4 сентября 2026 г. · АнглийскийПервоисточник →
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