Coal cleaning equipment. Performance evaluation

2000 ◽  
Keyword(s):  
Performance Evaluation ◽  
Coal Cleaning ◽  
Cleaning Equipment ◽  
Equipment Performance

scholarly journals Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency Performance Analysis of Coal Cleaning Operations: Relationship Between Probable Error in Separation and Organic Efficiency

2021 ◽  
Author(s):  
Subha Ranjan Paul ◽  
Sumantra Bhattacharya
Keyword(s):  
Performance Analysis ◽  
Performance Measures ◽  
Separation Efficiency ◽  
Selection Criterion ◽  
Probable Error ◽  
Plant Design ◽  
Clean Coal ◽  
Coal Cleaning ◽  
Cleaning Equipment ◽  
Efficiency Performance

Abstract Separation efficiency of coal cleaning equipment is typically assessed by Probable Error in Separation (Ep) and Organic Efficiency (Eorg). The first one is determined on the basis of precise cut point density of separation and implies that for ideal separation the error is zero. The second one is calculated on the basis of yield of clean coal/ middling at the target ash and implies that for ideal separation the efficiency is 100%. Plant operators worldwide being accountable for the tonnage of the clean coal and middling produced regularly monitor Eorg with some application in plant design in India. Ep is universally used as an equipment selection criterion from among the vendors, in commercial contracts and sometimes for performance analysis of coal cleaning equipment carried out at the plants. Since both are performance measures there should possibly be a relationship between the two for specific cleaning equipment or for a particular type of density separators. Such relationships are however rarely observed. Moreover there are many instances where high to very high Eorg does not translate into low to very low Ep. Therefore, is there a dichotomy between the two performance measures?

scholarly journals Performance evaluation of air cleaning equipment in terms of ETS and odor removal (Part 2)

2012 ◽  
Vol 15 (2) ◽  
pp. 135-145
Author(s):  
Miyuki NOGUCHI ◽  
Atsushi MIZUKOSHI ◽  
Yasuhiro MAEDA ◽  
Torahiko SAEKI ◽  
Ken FUKADA ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Air Cleaning ◽  
Cleaning Equipment ◽  
Odor Removal
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