124031 20241125101130.0 doi 10.1016/j.fuel.2022.126533 sideral 132618 ART-2023-132618 eng Bailera, Manuel Universidad de Zaragoza (orcid)0000-0002-9174-9820 Comparing different syngas for blast furnace ironmaking by using the extended operating line methodology 2023 Access copy available to the general public Unrestricted This paper assesses the injection of different syngas in air-blown blast furnaces, oxygen blast furnaces, and advanced oxygen blast furnaces. The selected types of syngas come from biomass gasification, plastic gasification, CO2 electrolysis, and reverse water–gas shift reaction. An Aspen Plus model, based on the new extended operating line methodology, was used for the simulation. This methodology is a generalization of the conventional Rist diagram, to extend its application to cases in which the injected gases have large contents of CO2 and H2O, and also to cases in which injections take place at the middle or upper zone of the blast furnace. The base cases were elaborated and validated with data from literature, with a discrepancy below 3.5%. A total of 7 key performance indicators were defined for the study (mass flow of syngas, coke replacement ratio, gas utilization, percentage of direct reduction, blast furnace gas temperature, flame temperature, and net CO2 emissions). In practice, the amount of syngas that can be injected is limited to 92 – 264 kgsyngas/tHM because of the drop in the flame temperature. The lowest net CO2 emissions are achieved in oxygen blast furnace with injection of syngas from reverse water–gas shift reaction. info:eu-repo/grantAgreement/EC/H2020/887077/EU/Decarbonisation of carbon-intensive industries (Iron and Steel Industries) through Power to gas and Oxy-fuel combustion/DISIPO This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 887077-DISIPO info:eu-repo/semantics/openAccess by-nc http://creativecommons.org/licenses/by-nc/3.0/es/ 6.7 2023 ENGINEERING, CHEMICAL 23 / 170 = 0.135 2023 Q1 T1 ENERGY & FUELS 46 / 171 = 0.269 2023 Q2 T1 1.451 2023 Energy Engineering and Power Technology 2023 Q1 Organic Chemistry 2023 Q1 Fuel Technology 2023 Q1 Chemical Engineering (miscellaneous) 2023 Q1 12.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 5004 590 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Máquinas y Motores Térmi. 333, Part 2 (2023), 126533 [13 pp.] Fuel Fuel 0016-2361 3464719 http://zaguan.unizar.es/record/124031/files/texto_completo.pdf Versión publicada 2513470 http://zaguan.unizar.es/record/124031/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:124031 articulos driver 2024-11-22-11:58:40 ARTICLE