Methodenentwicklung zur Staubcharakterisierung beim Wasserstoffplasma-Schmelzreduktionsprozess
Research output: Thesis › Master's Thesis
Authors
Organisational units
Abstract
The steel industry must drastically reduce its CO2-emissions by 2050 in accordance with the Paris Agreement. The hydrogen plasma smelting reduction (HPSR) process offers a climate-friendly alternative. To enhance the efficiency of HPSR, increased hydrogen utilization in the process gas is necessary, which should be achieved in the future via the implementation of a pre-reduction stage. For this, the HPSR off-gas, particularly the dust fraction, must be characterised, as process-relevant properties such as chemical composition and particle size distribution of the dust influence technology selection. This work develops a sampling system for the exhaust gas dust of the HPSR plant at the voestalpine Stahl Donawitz GmbH site and demonstrates suitable analysis methods for dust characterization. Common systems are identified, reviewed, and compared through extensive literature research. This results in an optimally designed assembly of necessary components and identification of the correct sampling location on the existing exhaust pipe of the plant. The designed system should operate nearly isokinetically to avoid segregation. A rotameter is used to measure the gas velocity. In addition, temperature, pressure, volume flow and gas composition are measured. The dust samples are chemically analysed and examined for particle size distribution and softening behaviour. Initial results show a high content of iron and oxide compounds, coarse particles, and low-melting phases. The findings are the foundation of further investigations regarding the exhaust gas dust and the technology for preheating and pre-reduction.
Details
Translated title of the contribution | Method development for dust characterization in the hydrogen plasma smelting reduction process |
---|---|
Original language | German |
Qualification | Dipl.-Ing. |
Awarding Institution | |
Supervisors/Advisors |
|
Award date | 18 Oct 2024 |
DOIs | |
Publication status | Published - 2024 |