A multi-objective genetic algorithm for the design of pressure swing adsorption

  title={A multi-objective genetic algorithm for the design of pressure swing adsorption},
  author={Giovanna Fiandaca and Eric S. Fraga and Stefano Brandani},
  journal={Engineering Optimization},
  pages={833 - 854}
Pressure Swing Adsorption (PSA) is a cyclic separation process, with advantages over other separation options for middle-scale processes. Automated tools for the design of PSA processes would be beneficial for the development of the technology, but their development is a difficult task due to the complexity of the simulation of PSA cycles and the computational effort needed to detect the performance in the cyclic steady state. A preliminary investigation is presented of the performance of a… 

Orthogonal numerical simulation on multi-factor design for rapid pressure swing adsorption

A two-dimensional model is established to simulate the rapid pressure swing adsorption (RPSA) process used for air separation with single bed. The model considers the transport phenomena occurring in

Efficient targeted optimisation for the design of pressure swing adsorption systems for CO2 capture in power plants

Pressure swing adsorption (PSA) is a cyclic adsorption process for gas separation and purification, and can be used in a variety of industrial applications, for example, hydrogen purification and

Integrated adsorbent‐process optimization for carbon capture and concentration using vacuum swing adsorption cycles

A novel approach for integrated adsorbent and process design is proposed. The traditional pressure or vacuum swing adsorption (PSA) / vacuum swing adsorption (VSA) process optimization for chosen

Simulation of single and dual layered rapid pressure swing adsorption

Rapid Pressure Swing Adsorption (RPSA) is a cyclic process where the bed is repeatedly being subjected to rapid adsorption and desorption. The process is inherently dynamic and exhibits cyclic steady

Generic Mathematical Model for PSA Process

Adsorptive separations have gained considerable importance in process industry. A generic simulator has been developed in this work for Pressure Swing Adsorption (PSA) processes. Several simple and



Recent Advances in Simulation and Optimal Design of Pressure Swing Adsorption Systems

This study discusses large‐scale simulation and optimization algorithms along with their implementation on PSA systems, and future research directions in algorithmic development, optimal strategies for process control and operation, as well as application to more complex PSA cycles are outlined.

On the optimization of cyclic adsorption separation processes

An innovative approach for the optimization of general cyclic adsorption separation processes (PSA and VSA), using the Skarstrom cycle with equalization, is proposed. The main objective is to study

Simulation and optimization of pressure-swing adsorption systems for air separation

This work applies a direct determination approach using a Newton-based method with accurate sensitivities to achieve fast and robust convergence to CSS and eliminates trial-and-error experiments.

Heuristic design of pressure swing adsorption: a preliminary study

Multi-objective optimization of pressure swing adsorbers for air separation

Multi-objective optimization of the operation of a two-fixed-bed, four-stage pressure swing adsorber (PSA) unit for the separation of air is studied using the newly developed multi-objective

Multiobjective Optimization of Cyclic Adsorption Processes

This paper focuses on the development of a multiobjective optimization approach and the first application to highly nonlinear cyclic adsorption processes such as thermal swing adsorption (TSA) and

Use of Neural Networks in the Simulation and Optimization of Pressure Swing Adsorption Processes

In this work a method for the simulation and optimization of a pressure swing adsorption process for the separation of nitrogen from air by using neural networks was developed. The model is used to