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EX-i SFC3000 Flow Computer Enhances Water and Energy Measurement
Accurate flow data helps power and process industries optimize water consumption, recover heat, and improve overall efficiency.
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EX-i Flow Measurement Ltd's SFC3000 flow computer accurately monitors liquid and steam flows for the water, utilities, and process industries. In applications such as power generation, district heating, and cooling towers, precise measurement is vital, as water serves both as a critical resource and an effective medium for transporting thermal energy.
By recording and integrating flow data into wider process-control systems, the SFC3000 helps facility operators assess energy balances and minimize waste. For instance, monitoring make-up water, circulation, and discharge flows in cooling networks enables engineers to pinpoint system losses and implement actionable efficiency improvements. The flexible platform also extends to steam and other process fluids, allowing facilities with closely interconnected energy streams to manage their resources comprehensively.
Additional Context
This section provides technological and market background not explicitly detailed in the original release.
The EX-i SFC3000 flow computer functions as the central intelligence of complex measurement systems, dynamically processing raw data from ultrasonic, turbine, Coriolis, or differential pressure meters alongside live temperature and pressure sensors. In steam and hot water applications, converting raw volumetric flow into precise mass and thermal energy values requires real-time thermodynamic compensations, often utilizing the internationally recognized IAPWS-IF97 equations of state. Packaged in an industry-standard 19-inch rack, the SFC3000 can calculate up to five independent measurement streams simultaneously. This scalability is crucial for large-scale utility networks and industrial plants that rely on centralized, highly accurate data for billing, carbon emissions monitoring, and rigorous plant-wide thermal energy audits.
Edited by Lekshman Ramdas, Induportals editor – adapted by AI.
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