Results 191 to 200 of about 57,989 (308)

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

The 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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Optimization of the scale-up production process for high-yield laccase from white-rot fungi. [PDF]

Front Bioeng Biotechnol
Ma Y, Liu M, Gu R, Zhang R, Ji X, Zhang J, Wen W, Peng Z.   +7 more
europepmc   +1 more source

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

The 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, Rafael Dei Tós Barreto, João Lourenço Castagnari Willimann Pimenta, Luiz Mario de Matos Jorge   +3 more
wiley   +1 more source

3D photothermal hydrogels derived from spinel CoMn₂O₄@MXene nanocomposites for an efficient solar-driven evaporation system. [PDF]

RSC Adv
Alomar M, El Maati LA, Irshad MS, Arshad N, Alotaibi A, Mushtaq N, Dao VD, Wang X.   +7 more
europepmc   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Negative Electric Vehicle Emissions: Vehicle-to-Grid Can Incentivize Enough Wind and Solar Investment to Reverse EV Charging Emissions. [PDF]

Environ Sci Technol
Chen J, Craig MT, Michalek J, Bruchon M, Vaishnav P.   +4 more
europepmc   +1 more source

An extension of the Dewey decimal system of classification applied to the engineering industries [PDF]

, 1912
Breckenridge, Lester Paige, Goodenough, George Alfred   +1 more
core  

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source

Testing the feasibility of multi-modular design in an HTR-PM nuclear plant. [PDF]

Nat Commun
Dong Z, Zhang Z, Dong Y, Shi L, Huang X, Zhu Y, Jiang D.   +6 more
europepmc   +1 more source

Performance comparison of pressure swing adsorption and amine‐based absorption for synthesis gas purification

The Canadian Journal of Chemical Engineering, EarlyView.
Comparison of PSA and amine‐based absorption for syngas purification shows that PSA offers lower energy intensity, global warming potential, and minimum selling price, making it a more sustainable option. However, absorption achieves higher syngas purity. A GREENSCOPE‐based multi‐criteria assessment guides optimal process selection.
Magno Fonseca Santos, Antonio Esio Bresciani, Rita Maria Brito Alves   +2 more
wiley   +1 more source