A new algorithm to improve the energy efficiency of a coal-fired thermal power plant by determining the optimum excavation parameters in an opencast lignite mines
by Ali Can Ozdemir; Ahmet Dag
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 28, No. 3, 2021

Abstract: An essential problem in the production of lignite is that the produced lignite fails to meet the working conditions of the coal-fired thermal power plant. This leads to both an increase in the unit energy cost and a decrease in energy efficiency. This study aims to eliminate these problems by determining the optimum excavation parameters, which minimised the standard deviation value of the calorific value. Therefore, a computer software was developed for the lignite mines having low calorific values and working with the bucket wheel excavator. This software was applied to Kışlaköy lignite mine and it was observed that a total of 576 alternatives were evaluated and the optimum excavation alternative was determined. Also, the variance reduction ratio calculated with the input and output variance is 0.14. These results indicated that this software is a solution to problems in the coal-fired thermal power plant and the importance of using it. [Received: September 27, 2019; Accepted: September 9, 2020]

Online publication date: Sat, 30-Oct-2021

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