Online determination of the CO/CO2 concentration in the OG system in BOF converter : ANALCO
In: 2010; (2010)
Online
Elektronische Ressource
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The main results of the development are innovative systems for an online and accurate measurement of the concentration of COx and 02 at OG system of BOF converter. Based on this measurement, it is possible to develop models of the gas extraction system to optimise control over the OG system, improving the recovering and reuse of energetic gas. Two different technologies based on FTIR and microwave were developed and tested at the plant site: - an FTIR based system proved to fulfil requirements for online measuring proving its use in industrial application, in accordance with the results obtained, both at pilot plants in laboratory as well as in a measurement campaign at the LDA Steel-shop of ArcelorMittal — Avilés Plant; - a microwave based system tested at a pilot furnace in gas atmospheres with temperatures of 1 200 to 1 600 °C and 4 to 20 % vol. CO. The measured data showed peak frequencies, which were close to peak frequencies known in the literature, and a dependency of the frequency positions and line-widths from the gas temperature were observed. Integration with the plant automation of the new measuring technique was developed: communication protocol and databases. A model for dynamic BOF control by using regression analysis and neural networks was constructed. Coupling of the developed model based on artificial intelligence techniques with the already existing thermo-chemical automation system and the fast in situ off-gas analysis allows closed-loop control of the BOF process, with an average relative error of 0.028 and an average mean square error of 0.023
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Online determination of the CO/CO2 concentration in the OG system in BOF converter : ANALCO
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Autor/in / Beteiligte Person: | Directorate-General for Research and Innovation ; Commission, European ; Sancho, L. F. ; Malmberg, D. ; Colla, V. |
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Quelle: | 2010; (2010) |
Veröffentlichung: | 2010 |
Medientyp: | Elektronische Ressource |
ISBN: | 978-92-79-16208-4 (print) |
ISSN: | 1018-5593 (print) |
DOI: | 10.2777/83550 |
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