Results 181 to 190 of about 142,695 (266)

Carbon2Chem—Innovative Research for the Energy Transition

open access: yesChemie Ingenieur Technik, EarlyView.
The Carbon2Chem project has been working on solutions for the energy transition since 2016. Despite changes in its framework conditions, the project remains on course. The project structure and the collaboration between the project partners are essential for the project's success.
Torsten Müller
wiley   +1 more source

Matching Heat Pump Configurations and Process Parameters for Cost‐Minimal Heat‐Integrated CO2 Capturing Process

open access: yesChemie Ingenieur Technik, EarlyView.
In a CO2 absorption process, it is investigated whether the adjustment of operating parameters facilitates the integration of different closed heat pump cycles considering various refrigerants. The influence of different integration concepts and electricity prices are investigated by means of resulting total annual costs.
Johannes Wloch   +2 more
wiley   +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

Extended batch adsorber analogue model (e‐BAAM) for rapid evaluation of CO2 capture pressure swing adsorption cycles

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall   +3 more
wiley   +1 more source

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