Performance-based screening of porous materials for carbon capture

AH Farmahini, S Krishnamurthy, D Friedrich… - Chemical …, 2021 - ACS Publications
Computational screening methods have changed the way new materials and processes are
discovered and designed. For adsorption-based gas separations and carbon capture, recent …

Adsorbents for the post-combustion capture of CO2 using rapid temperature swing or vacuum swing adsorption

N Hedin, L Andersson, L Bergström, J Yan - Applied Energy, 2013 - Elsevier
In general, the post-combustion capture of CO2 is costly; however, swing adsorption
processes can reduce these costs under certain conditions. This review highlights the issues …

Sampling and analysis in flow: the keys to smarter, more controllable, and sustainable fine‐chemical manufacturing

MA Morin, W Zhang, D Mallik… - Angewandte Chemie, 2021 - Wiley Online Library
Process analytical technology (PAT) is a system designed to help chemists better
understand and control manufacturing processes. PAT systems operate through the …

Multi-objective optimization of ANN-based PSA model for hydrogen purification from steam-methane reforming gas

X Yu, Y Shen, Z Guan, D Zhang, Z Tang, W Li - International Journal of …, 2021 - Elsevier
Abstract A 4-bed-8-step pressure swing adsorption (PSA) process has been developed to
produce high-purity hydrogen from the steam methane reforming (SMR) gas mixture. The …

[KİTAP][B] Non-convex multi-objective optimization

Optimization is a very broad field of research with a wide spectrum of important applications.
Until the 1950s, optimization was understood as a single-objective optimization, ie, as the …

Cycle synthesis and optimization of a VSA process for postcombustion CO2 capture

R Haghpanah, R Nilam, A Rajendran, S Farooq… - AIChE …, 2013 - Wiley Online Library
A systematic analysis of several vacuum swing adsorption (VSA) cycles with Zeochem
zeolite 13X as the adsorbent to capture CO2 from dry, flue gas containing 15% CO2 in N2 is …

Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes

KN Pai, V Prasad, A Rajendran - Separation and Purification Technology, 2020 - Elsevier
Abstract Machine learning-based surrogate models are presented to accelerate the
optimization of pressure swing adsorption processes. Various supervised machine learning …

Nature-inspired optimisation approaches and the new plant propagation algorithm

A Salhi, ES Fraga - 2011 - repository.essex.ac.uk
Nature-inspired algorithms are proving to be very successful on complex optimisation
problems. A new algorithm, inspired by the way plants, and in particular the strawberry plant …

Multi-objective optimisation using surrogate models for the design of VPSA systems

J Beck, D Friedrich, S Brandani, ES Fraga - Computers & Chemical …, 2015 - Elsevier
Vacuum/pressure swing adsorption is an attractive and often energy efficient separation
process for some applications. However, there is often a trade-off between the different …

The effect of nitrogen adsorption on vacuum swing adsorption based post-combustion CO2 capture

AK Rajagopalan, A Rajendran - International Journal of Greenhouse Gas …, 2018 - Elsevier
The importance of nitrogen adsorption, an often neglected topic, on post-combustion CO 2
capture using vacuum swing adsorption is evaluated. Several hypothetical adsorbents are …