Determination of Optimum Operating Conditions for Washing Mixed Coals by Using Spreadsheet Optimization Method

International Mineral Processing Congress
S. Mohanta
Organization:
International Mineral Processing Congress
Pages:
16
File Size:
278 KB
Publication Date:
Jan 1, 2014

Abstract

In composite washeries optimization of operating parameters to achieve maximum clean coal yield at the desired clean coal ash level is a major problem. This problem is more acute in countries like India, which have predominant reserves of difficult-to-wash coals. The constrained operational parameters of washing for some equipments make it more severe. In addition to this, the dependence of separating performance of different equipments upon various variables aggravates the situation. Here an attempt is made to find a numerical solution to get maximum yield and minimize the difference between the actual and the theoretical yield. The solution is arrived through constrained non-linear optimization of a multivariable objective function that utilizes spreadsheet tools; the method accommodates any number of source coals or washing size fractions. By using a designed Ep value the predicted yield of composite clean coal has been calculated and the yield is optimized subject to constraints on both the ash and specific gravity. It is shown that operational constraints of different washeries in the composite plant that utilizes gravity separation methods can also be over-come. The technique offers the coal preparation engineer an effective and straightforward method for determining the optimum cut-points of separation for different coals or blended coals to obtain maximum product yield at a specified level of ash content.
Citation

APA: S. Mohanta  (2014)  Determination of Optimum Operating Conditions for Washing Mixed Coals by Using Spreadsheet Optimization Method

MLA: S. Mohanta Determination of Optimum Operating Conditions for Washing Mixed Coals by Using Spreadsheet Optimization Method. International Mineral Processing Congress, 2014.

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