Siemens: Coriolis Fuel-Oil Metering In The Chinese Glass Industry

Date: 9 March 2007
Source: Siemens
The Chinese glass industry is significantly affected by soaring oil prices. To melt the raw materials for glass production, heavy fuel oil is used in the burners of the melting furnace.

The ability to monitor and control the flow rate of the fuel oil is essential not only for cost control, but also for achieving optimum conditions in the melt.



Rough conditions and long hours of operation



The heavy fuel oil used in the Chinese glass industry typically has a temperature of 90 to 150 degrees Celsius, and usually contains abrasive materials such as sand. Consequently, the flowmeter must be able to withstand high temperatures and long hours of continuous operation.

The Sitrans F C MASS 2100 sensor and the Sitrans F C MASS 6000 transmitter are well suited for these operating conditions. The sensor has an extremely robust design, including the largest pipe wall thickness on the market, which boosts resistance to abrasive materials in the fuel oil. Furthermore, it offers both an excellent price/performance ratio and outstanding accuracy with an error of less than 0.1 percent, making it suitable for the precise metering of many types of liquids, including heavy fuel oils. Due to the large internal diameter throughout the entire meter, pressure loss is minimal, further adding to savings, as less pump capacity is required.



Several successful applications



Over the past few years, more than 150 MASS 2100 sensors and MASS 6000 transmitters have been sold to Chinese glass manufacturers. As early as 1997, the Luoyang Glass group installed 14 MASS 2100 flowmeters, which are still in operation today. The Dezhou glass factory has 23 flowmeters in operation in one single product line, and the Farun group uses Siemens flowmeters in its float-glass production facilities. These three companies were able to capitalize on the benefits offered by the reliable and robust devices by reducing maintenance costs and improving overall process performance.

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