Results 131 to 140 of about 1,661 (215)

Internal Carbon Cycles in the Steel Industry: Pathways for CO2 Management and Carbon Capture Utilization

open access: yesChemie Ingenieur Technik, EarlyView.
The steel industry accounts for about 7%‐9% of global CO2 emissions. While H2‐based direct reduction is a long‐term route, near‐term solutions are needed for existing plants. Internal carbon cycles reuse steelworks off‐gases and by‐products, enabling circular carbon use and supporting CCU integration.
Florian Haakmann   +4 more
wiley   +1 more source

First Operation Results of a Methanol Demonstration Plant With Real Steel Mill Gases

open access: yesChemie Ingenieur Technik, EarlyView.
A demonstration plant with industrial setup regarding length, diameter, boiling water cooling system and gas recycle was initially operated with cleaned blast furnace gas and compared with earlier experiments with bottle gases. Dynamic disturbances from the steel mill and gas cleaning unit were noticed and could be compensated by the control system ...
Johannes Michael Voß, Tim Schulzke
wiley   +1 more source

Engineering electrothermally enhanced interfacial evaporation for high-performance solar desalination. [PDF]

open access: yesCommun Eng
Wilson HM   +5 more
europepmc   +1 more source

Prospective LCA of E‐Methanol Along the Transformation of Steel Industry

open access: yesChemie Ingenieur Technik, EarlyView.
The environmental effects of change in steel production route on e‐methanol production are analyzed as they shift from blast furnace route to direct reduction route. Specific hydrogen demand reduces, as do the avoided CO2 emissions. E‐methanol's overall carbon footprint stays in a narrow range of −1 to −1.1 kg‐CO2‐eq./kg‐methanol.
Ankur Gaikwad
wiley   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

open access: yesChemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn   +5 more
wiley   +1 more source

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