scholarly journals Graphynes for Water Desalination and Gas Separation

2019 ◽  
Vol 31 (42) ◽  
pp. 1803772 ◽  
Author(s):  
Hu Qiu ◽  
Minmin Xue ◽  
Chun Shen ◽  
Zhuhua Zhang ◽  
Wanlin Guo
Keyword(s):  
Gas Separation ◽  
Water Desalination

scholarly journals Graphynes: indispensable nanoporous architectures in carbon flatland

RSC Advances ◽  
2018 ◽  
Vol 8 (41) ◽  
pp. 22998-23018 ◽  
Author(s):  
Anto James ◽  
Chris John ◽  
Cheriyacheruvakkara Owais ◽  
Stephen Nagaraju Myakala ◽  
Sarap Chandra Shekar ◽  
...  
Keyword(s):  
Energy Storage ◽  
Gas Separation ◽  
Water Desalination ◽  
Separation Energy

The uniformly distributed nanoporous architectures in graphynes have significantly expanded the applicability of the materials of carbon flatland in areas such as water desalination, gas separation, energy storage, catalysis and optoelectronics.

scholarly journals Membrane‐Based Separation: Graphynes for Water Desalination and Gas Separation (Adv. Mater. 42/2019)

2019 ◽  
Vol 31 (42) ◽  
pp. 1970296 ◽  
Author(s):  
Hu Qiu ◽  
Minmin Xue ◽  
Chun Shen ◽  
Zhuhua Zhang ◽  
Wanlin Guo
Keyword(s):  
Gas Separation ◽  
Water Desalination

Gas separation and water desalination performance of defect-free interfacially polymerized para-linked polyamide thin-film composite membranes

2021 ◽  
Vol 618 ◽  
pp. 118572
Author(s):  
Zain Ali ◽  
Yingge Wang ◽  
Wojciech Ogieglo ◽  
Federico Pacheco ◽  
Hakkim Vovusha ◽  
...  
Keyword(s):  
Thin Film ◽  
Gas Separation ◽  
Composite Membranes ◽  
Water Desalination ◽  
Film Composite ◽  
Thin Film Composite

Computational methods towards increased efficiency design of graphene membranes for gas separation and water desalination

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sorin Muraru ◽  
Mariana Ionita
Keyword(s):  
Gas Separation ◽  
Computational Methods ◽  
Water Desalination ◽  
Energy Industry ◽  
Computational Studies ◽  
Key Factors ◽  
Comprehensive Overview ◽  
Actual Design ◽  
Potential Impact ◽  
Graphene Membranes

AbstractThe potential impact of climate change is widely known as having serious consequences. The themes of water desalination and gas separation are closely related to the environment and energy industry. Graphene-based membranes are promising filtration devices for the two tasks. This review aims to supply a comprehensive overview of the recent computational studies investigating the performance of graphene-based membranes used in water desalination or gas separation. With the use of computational methods, the literature covered finds evidence for key factors, such as pore shape and density, affecting the performance of the investigated membranes. The reviewed studies are expected to act as an impulse towards more computational studies and eventually actual design of graphene-based membranes for water desalination and gas separation.

A SEM/TEM examination of a ceramic membrane

1986 ◽  
Vol 44 ◽  
pp. 682-683
Author(s):  
C.E. Voegele-Kliewer ◽  
A.D. McMaster ◽  
G.W. Dirks
Keyword(s):  
Electron Microscopy ◽  
Gas Separation ◽  
Ceramic Membrane ◽  
Hydrogen Iodide ◽  
Separation Processes ◽  
Corning Glass ◽  
Gas Transport Properties ◽  
Porous Microstructure ◽  
Microscopy Techniques ◽  
The Relationship

Materials other than polymers, e.g. ceramic silicates, are currently being investigated for gas separation processes. The permeation characteristics of one such material, Vycor (Corning Glass #1370), have been reported for the separation of hydrogen from hydrogen iodide. This paper will describe the electron microscopy techniques applied to reveal the porous microstructure of a Vycor membrane. The application of these techniques has led to an increased understanding in the relationship between the substructure and the gas transport properties of this material.

Low-Resistance Monovalent-Selective Cation Exchange Membranes for Energy-Efficient Ion Separations

2020 ◽  
Author(s):  
Eyal Wormser ◽  
Oded Nir ◽  
Eran Edri
Keyword(s):  
Cation Exchange ◽  
Brackish Water ◽  
Molecular Layer ◽  
Water Desalination ◽  
Molecular Layer Deposition ◽  
Selective Layer ◽  
Trade Off ◽  
Membrane Selectivity ◽  
Layer Deposition ◽  
Water Energy Nexus

<div> <div> <div> <p>The desalination of brackish water provides water to tens of millions of people around the world, but current technologies deplete much needed nutrients from the water, which is detrimental to both public health and agriculture. A selective method for brackish water desalination, which retains the needed nutrients, is electrodialysis (ED) using monovalent-selective cation exchange membranes (MVS-CEMs). However, due to the trade-off between membrane selectivity and resistance, most MVS-CEMs demonstrate either high transport resistance or low selectivity, which increase energy consumption and hinder the use of such membranes for brackish water desalination by ED. Here, we used molecular layer deposition (MLD) to uniformly coat CEMs with ultrathin layers of alucone. The positive surface charge of the alucone instills monovalent selectivity in the CEM. Using MLD enabled us to precisely control and minimize the selective layer thickness, while the flexibility and nanoporosity of the alucone prevent cracking and delamination. Under conditions simulating brackish water desalination, this compound provides monovalent selectivity with negligible added resistance—the smallest reported resistance for a monovalent-selective layer, to date—thereby alleviating the selectivity–resistance trade-off. Addressing the water–energy nexus, we show that using these membranes in ED will cut at least half of the energy required for selective brackish water desalination with current MVS-CEMs. </p> </div> </div> </div>

Applied Process Simulation-Driven Oil and Gas Separation Plant Optimization using Surrogate Modeling and Evolutionary Algorithms

2019 ◽  
Author(s):  
Anders Andreasen
Keyword(s):  
Evolutionary Algorithms ◽  
Gas Separation ◽  
Oil And Gas ◽  
Optimal Solution ◽  
Computer Experiment ◽  
Latin Hypercube Sampling ◽  
Surrogate Models ◽  
Inlet Temperature ◽  
Separation Plant ◽  
Separation Stage

In this article the optimization of a realistic oil and gas separation plant has been studied. Two different fluids are investigated and compared in terms of the optimization potential. Using Design of Computer Experiment (DACE) via Latin Hypercube Sampling (LHS) and rigorous process simulations, surrogate models using Kriging have been established for selected model responses. The surrogate models are used in combination with a variety of different evolutionary algorithms for optimizing the operating profit, mainly by maximizing the recoverable oil production. A total of 10 variables representing pressure and temperature various key places in the separation plant are optimized to maximize the operational profit. The optimization is bounded in the variables and a constraint function is included to ensure that the optimal solution allows export of oil with an RVP < 12 psia. The main finding is that, while a high pressure is preferred in the first separation stage, apparently a single optimal setting for the pressure in downstream separators does not appear to exist. In the second stage separator apparently two different, yet equally optimal, settings are revealed. In the third and final separation stage a correlation between the separator pressure and the applied inlet temperature exists, where different combinations of pressure and temperature yields equally optimal results.<br>

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