scholarly journals The role of coal preparation plant performance testing in improving clean coal recovery

1992 ◽  
Author(s):  
M E Mikail ◽  
A I A Salama ◽  
O E Humeniuk
2013 ◽  
Vol 734-737 ◽  
pp. 901-905 ◽  
Author(s):  
Jian Li Yang ◽  
Mei Li Du ◽  
Jing Liu ◽  
Chun Xia Yu

At present, kerosene is one of the most widely used non-polar hydrocarbon oil collector agent in coal flotation in China, kerosene is difficult to dissolve in water, with good collector, but the dosage is comparatively large in the actual production.The drainage oil is from the dining recycled goods and the waste of animal flesh, can be used for preparation of fatty acid collector, which not only to reduce environmental pollution,but also to reduce the risk of food safety. At the same time, if drainage oil can replace the kerosene in coal collection, it will improve the coal preparation plant efficiency and solve the problem of shortage of national resources. In this study, we use Huangling coal as raw material for flotation experiment, use kerosene, diesel, drainage oil and emulsified drainage oil as collectors. Adding different collectors in the same flotation conditions to research the yield of clean coal, the clean coal ash and the yield of tailings by changing the dosage of collectors. The results show when adding to OP emulsifier and the proportion of water and oil is 6:4, flotation effects is the best, the yield of clean coal is 88.67%, the ash of clean coal is from 9.16% down to 8.63%, the yield of tailings is 11.32% .


2019 ◽  
Vol 190 ◽  
pp. 67-80 ◽  
Author(s):  
Ghislain Bournival ◽  
Masataka Yoshida ◽  
Nicholas Cox ◽  
Noel Lambert ◽  
Seher Ata

Author(s):  
Vishal Gupta ◽  
Hussain Unjawala ◽  
Ajay Mahajan ◽  
Manoj Mohanty

A coal preparation plant typically has multiple cleaning circuits based on size of coal particles. Each circuit is operated to produce the same product quality so that the blend of clean coal meets the targeted product quality constraints. Though, this approach of producing the clean coal satisfies the product quality constraints as given by the customer, it may suffer from the loss of overall clean coal yield by 1–2%. Numerous studies conducted in the past illustrate that the optimal yield can be obtained by operating each circuit to produce the same incremental product quality. However, this approach is good enough for single product quality constraints but it fails to produce optimal yield with multiple product quality constraints. A newer optimization technique known as particle swarming is developed for the yield optimization of a coal preparation plant while satisfying multiple product quality constraints. The optimization model incorporates two product quality constraints - product ash and sulfur assay. The results indicate that an increment of 2.73% in the yield could be achieved by both equal incremental ash quality approach and particle swarm optimization. The additional yield can generate extra revenue of $5,460,000 per annum without significantly adding to the implementation/operation cost.


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