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VERSION:2.0
METHOD:PUBLISH
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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 13
SUMMARY:Cyanide compounds removal from blast furnace gas through a spray-scrubber-based process for reducing NOx and fossil CO2 emissions
DESCRIPTION:In the framework of European Green Deal, steel companies are facing a deep transformation towards ever more carbon-lean processes. Besides  studies focused on direct reduction processes, several research works deal with the decrease of the impact of existing routes, for instance, by decreasing the use of fossil fuels. Effectively, the transition from standard integrated route to a direct reduction-based route requires efforts and time but, considering the climate changes and the environmental issues, it is of extreme importance to reduce urgently the greenhouse gases and hazardous air pollutant emissions. In this way, during the transition, brownfield processes can contribute actively and gradually to the Green Deal. 
This is the context of this study, which  focuses on the investigation and development of a process allowing a further treatment of blast furnace gas for ensuring a reduction of NOx when it is used in hot blast stoves and, in particular, at high temperatures. Pushing hot blast stoves at higher temperatures means obtaining higher temperatures of preheated air to be injected in blast furnaces, decreasing coke demand and, consequently, CO2 emissions. The presented treatment is based on a spray-scrubber whose main aim is the reduction of cyanide compounds in blast furnace gas due to their direct link with NOx emissions. The scrubber also allows chlorides removal by reducing corrosion problems. Auxiliary to the gas washing process, a H2O2-based water treatment was invelstigated to reduce the content of cyanides in the blast furnace gas washing water to allow its recirculation and to make purges suitable for discharges. Different kind of analyses were done to develop the process and prove its effectiveness and potential, including literature and data analyses, development of ad-hoc models for scenario analyses, laboratory tests and optimal design of process and unit operations.
CLASS:PUBLIC
DTSTART:20230615T094000
DTEND:20230615T100000
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