

Author: Tiwari Hari Prakash Kumar Rajesh Bhattacharjee Arunabh Lingam Ravi Kumar Roy Abhijit Tiwary Shambhu
Publisher: Edp Sciences
E-ISSN: 2271-3654|115|2|211-211
ISSN: 2271-3646
Source: Metallurgical Research & Technology (formerly Revue de Métallurgie), Vol.115, Iss.2, 2018-02, pp. : 211-211
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Coke oven gas treatment plants are well equipped with distributed control systems (DCS) and therefore recording the vast amount of operational data efficiently. Analyzing the stored information manually from historians is practically impossible. In this study, data mining technique was examined for lowering the ammonia concentration in clean coke oven gas. Results confirm that concentration of ammonia in clean coke oven gas depends on the average PCDC temperature; gas scrubber temperatures stripped liquor flow, stripped liquor concentration and stripped liquor temperature. The optimum operating ranges of the above dependent parameters using data mining technique for lowering the concentration of ammonia is described in this paper.
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