| Issue |
Metall. Res. Technol.
Volume 115, Number 2, 2018
|
|
|---|---|---|
| Article Number | 211 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/metal/2017102 | |
| Published online | 26 February 2018 | |
Regular Article
Prediction of operating parameters range for ammonia removal unit in coke making by-products
1
Principal Researcher, Coal and Coke Making Research, R&D, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
2
Chief By-product Plant, Coke Plant, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
3
Sr. Manager, Information technology services, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
4
Principal Researcher, Coal and Coke Making Research, R&D, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
5
Head, By-product Plant, Coke Plants, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
6
Head IT RM CSI, Tata Steel Ltd.,
Jamshedpur,
831001
Jharkhand, India
* email: hp.tiwari@tatasteel.com
Received:
28
July
2017
Accepted:
15
December
2017
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.
Key words: Ammonia / coke oven gas / data mining / coke making by-products
© EDP Sciences, 2018
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