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chapter - 1 introduction - Meghalaya State Pollution Control Board

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Hills Cement Co. Limited.<br />

High efficiency classifiers can be used in both the raw materials mill<br />

and in the finish-grinding mill.<br />

4. Standard classifiers may have a low separation efficiency, which leads<br />

to the recycling of fine particles, and results in to extra power use in<br />

the grinding mill. In high-efficiency classifiers, the material stays longer<br />

in the separator, leading to sharper separation, thus reducing over<br />

grinding. Electricity savings through implementing high-efficiency<br />

classifiers are estimated at 8% of the specific electricity use.<br />

6.2. FUEL PREPARATIONS<br />

1. Coal is the most widely used fuel in the cement industry. Fuels<br />

preparation is most often performed onsite. Fuels preparation may<br />

include crushing, grinding and drying of coal. Coal is shipped “wet” to<br />

prevent dust formation and fire during transport. Passing hot gasses<br />

through the mill combines the grinding and drying. Waste heat of the<br />

kiln system (e.g. the clinker cooler) is used to dry the coal if needed.<br />

6.3. CLINKER PRODUCTION – ALL KILNS<br />

(i) Process <strong>Control</strong> & Management Systems – Kilns- Heat from the kiln<br />

may be lost through non-optimal process conditions or process<br />

management. Automated computer control systems may help to<br />

optimize the combustion process and conditions. Improved process<br />

control will also help to improve the product quality and grind ability,<br />

e.g. reactivity and hardness of the produced clinker, which may lead to<br />

more efficient clinker grinding.<br />

(ii) Expert control systems do not use a modeled process to control<br />

process conditions, but try to simulate the best human operator, using<br />

information from various stages in the process.<br />

(iii) An alternative to expert systems is model-predictive control using<br />

dynamic models of the processes in the kiln. A model predictive<br />

control system can reduce energy needs by 4%, while increasing<br />

productivity and clinker quality.<br />

(iv) Additional process control systems include the use of on-line<br />

analyzers that permit operators to instantaneously determine the<br />

chemical composition of raw materials being processed in the plant,<br />

thereby allowing for immediate changes in the blend of raw materials.<br />

(v) A uniform feed allows for steadier kiln operation, thereby saving<br />

ultimately on fuel requirements.<br />

<strong>Pollution</strong> <strong>Control</strong> Consultants (India) Pvt. Ltd. 117

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