Pioneering Sustainable Recovery in Steelmaking: Hydrogen-Based Technology for By...
Pioneering Sustainable Recovery in Steelmaking: Hydrogen-Based Technology for Byproduct Management
The Dust2Value project aims to transform the steelmaking residue recycling process by introducing an innovative hydrogen reduction technology that efficiently recovers valuable metals, such as zinc and iron, from steelmaking resid...
The Dust2Value project aims to transform the steelmaking residue recycling process by introducing an innovative hydrogen reduction technology that efficiently recovers valuable metals, such as zinc and iron, from steelmaking residue streams. This environmentally-friendly technology supports the circular economy, reduces greenhouse gas emissions, and contributes to a sustainable future for the steel industry.
The Dust2value process utilizes green hydrogen to reduce zinc oxide and iron oxide present in the residue, converting them into gaseous zinc that evaporates, re-oxidizes with water vapor to fine-dispersed ZnO particles which leave the furnace via the off-gas system and are recovered in bag house filters. Additionally, a secondary DRI is produced. The novel design of the Dust2Value process recovers heat and hydrogen generated during the re-oxidation of gaseous zinc to fine-dispersed ZnO particles, optimizing its energy efficiency. The project will design, construct and optimize a prototype rotary kiln that enables optimized heat transfer and gas-solid interactions, ensuring effective metal recovery.
A key aspect of the Dust2Value project is the integration of digitalization and machine learning techniques for process modelling and optimization. The project will leverage machine learning algorithms trained on kinetic data from thermogravimetry to create an accurate and comprehensive process model. This model will be used for the dimensioning of the prototype and will be further developed into a digital twin, providing a real-time representation of the physical process. The digital twin will enable continuous monitoring, analysis, and optimization of the process, ensuring optimal performance, and facilitating the rapid implementation of improvements. This advanced approach to process modelling will significantly enhance the Dust2Value process optimisation, driving innovation in the field of steelmaking residue recycling.ver más
02-11-2024:
Generación Fotovolt...
Se ha cerrado la línea de ayuda pública: Subvenciones destinadas al fomento de la generación fotovoltaica en espacios antropizados en Canarias, 2024
01-11-2024:
ENESA
En las últimas 48 horas el Organismo ENESA ha otorgado 6 concesiones
01-11-2024:
FEGA
En las últimas 48 horas el Organismo FEGA ha otorgado 1667 concesiones
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.