Results 181 to 190 of about 2,021,692 (349)

Sensitivity analysis and stochastic optimization of levelized cost of hydrogen production through methane pyrolysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hydrogen plays a crucial role across multiple industrial sectors and is increasingly recognized as a clean energy carrier with significant potential in decarbonization efforts. Methane pyrolysis (MP), particularly using molten metal catalysts, offers a promising pathway for hydrogen production with low CO2 emissions.
Adrian Paredes Bozzo, Zukui Li
wiley   +1 more source

Production of middle distillates through olefin oligomerization using ZSM‐5 as a catalyst

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract The global transportation sector relies heavily on gasoline (C5–C12) and diesel (C11–C24), which together account for approximately 60% of its energy needs. Driven by rapid industrialization and urbanization, diesel consumption is outpacing gasoline, with projections estimating global demand by 2035 at 27 million barrels per day for gasoline ...
Thembekile Hoyi   +3 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

Milling-Induced Defects in Ni/Zirconia Catalysts for Enhancing Catalytic Activity in Dry Methane Reforming. [PDF]

open access: yesJ Phys Chem C Nanomater Interfaces
Olszowka JE   +8 more
europepmc   +1 more source

Beyond hydrogen: Process design of a biogas steam reformer for Fischer–Tropsch synthesis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
The effect of pressure and steam to carbon ratio on carbon conversion. Abstract We present an analysis of a pilot‐scale multi‐tubular biogas steam reforming reactor, part of a sustainable aviation fuel (SAF) development project in Brazil. The novelty of this work is the application of a new, validated power law kinetic model, specifically developed for
Rafael Belo Duarte   +3 more
wiley   +1 more source

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