Article thumbnail
Location of Repository

A multi-criteria design framework for the synthesis of complex pressure swing adsorption cycles for CO2 capture

By G. Fiandaca

Abstract

Pressure Swing Adsorption (PSA) is the most efficient option for middle scale separation processes. PSA is a cyclic process whose main steps are adsorption, at high pressure, and regeneration of the adsorbent, at low pressure. The design of PSA cycles is still mainly approached experimentally due to the computational challenges posed by the complexity of the simulation and by the need to detect the performance at cyclic steady state (CSS). Automated tools for the design of PSA processes are desirable to allow a better understanding of the the complex relationship between the performance and the design variables. Furthermore, the operation is characterised by trade-o�ffs between conflicting criteria. A multi-objective flowsheet design framework for complex PSA cycles is presented. A suite of evolutionary procedures, for the generation of alternative PSA con�figurations has been developed, including simple evolution, simulated annealing as well as a population based procedure. Within this evolutionary procedure the evaluation of each cycle confi�guration generated requires the solution of a multi-objective optimisation problem which considers the conflicting objectives of recovery and purity. For this embedded optimisation problem a multi-objective genetic algorithm (MOGA), with a targeted fi�tness function, is used to generate the approximation to the Pareto front. The evaluation of each alternative design makes use of a number of techniques to reduce the computational burden. The case studies considered include the separation of air for N2 production, a fast cycle operation which requires a detailed di�ffusion model, and the separation of CO2 from flue gases, where complex cycles are needed to achieve a high purity product. The novel design framework is able to determine optimal configurations and operating conditions for PSA for these industrially relevant case studies. The results presented by the design framework can help an engineer to make informed design decisions

Publisher: UCL (University College London)
Year: 2010
OAI identifier: oai:eprints.ucl.ac.uk.OAI2:19300
Provided by: UCL Discovery

Suggested articles

Citations

  1. (2002). A brief introduction to implicit
  2. (1996). A comparison of a direct search method and a genetic algorithm for conformational searching.
  3. (2002). A fast and elitist multiobjective genetic algorithm:
  4. (1995). A method to obtain a compact representation of process performances from a numerical simulator: example of pressure swing adsorption for pure hydrogen production. Gas separation & puri
  5. (2001). A new LDF approximation for cyclic adsorption processes.
  6. (1994). A niched pareto genetic algorithm for multiobjective optimization.
  7. (1965). A simplex-methos for function minimization.
  8. (2006). A survey of simulated annealing as tool for single and multiobjectiva optimization.
  9. (2003). A taxonomy for the crossover operator for real{coded genetic algorithms: an experimental study.
  10. (2001). A taxonomy of global optimization methods based on response surfaces.
  11. (2004). A tutorial on evolutionary multiobjective optimization.
  12. (1994). A versatile process simulator for adsorptive separations.
  13. (2001). Adsorption of carbon dioxide onto hydrotelcite-like compunds (htlcs) at high temperatures.
  14. (1986). Air separation by pressure swing adsorption on a carbon molecular sieve.
  15. (1985). An Interactive Approach for Solving Multi-Objective Optimization Problems.
  16. (2002). Analysis of a piston PSA process for air separation.
  17. (2003). and A.Mendes. Solution of hyperbolic pdes using a stable adaptive multiresolution method.
  18. (2004). Application of an adsorption non- exergy function to an exergy analysis of a pressure swing adsorption cycle.
  19. (2003). Application of multiobjective optimization in the design and operation of reactive SMB and its experimental veri
  20. (2001). Capture and storage of CO2.
  21. (2005). Carbon dioxide capture and storage - Summary for policymakers and technical summary. IPCC special reports,
  22. (2006). Carbon dioxide capture from gas by pressure swing adsorption at high temperature using a K-promoted HTlc: Eects of mass transfer on the process performance.
  23. (2004). Carbon dioxide recovery by vacuum swing adsorption.
  24. (1962). Chemical Reaction Engineering.
  25. (2002). Combining convergence and diversity in evolutionary multiobjective optimization.
  26. (1995). Comparison of activated carbon and zeolite 13X for CO2 recovery from gas by pressure swing adsorption.
  27. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results.
  28. (1999). Complexity analysis of nelder-mead search iterations.
  29. (1994). Computer-simulation of a novel circulating pressure-temperature swing adsorber for recovering carbon-dioxide from
  30. (1993). Concentration and recovery of CO2 from gas by pressure swing adsorption.
  31. (1986). Convergence of an annealing algorithm.
  32. (1998). Convergence of the nelder-mead simplex method to a nonstationary point.
  33. (1998). Convergence properties of the nelder-mead simplex method in low dimensions.
  34. (2008). Cycle development and design for CO2 capture from gas by vacuum swing adsorption.
  35. (2003). Cyclic adsorption separation processes: Analysis strategy and optimization procedure.
  36. (1986). Density estimation for statistics and data analysis. London: Chapman and Hall,
  37. (2005). Design and optimization of pressure swing adsorption systems with parallel implementation.
  38. (2000). Direct search methods: Then and now.
  39. (2005). Dynamic simulation of pressure swing adsorption system with the electrical network.
  40. (2005). Dynamics of carbon dioxie breakthrough in a carbon monolith over a wide concentration range.
  41. (2004). Ecient implementation of the nelder-mead search algorithm.
  42. (2008). Eect of process parameters on power requirements of vacuum swing adsorption technology for CO2 capture from ue gases.
  43. (2006). Enriching PSA cycle for the production of nitrogen from air.
  44. (2000). Equilibria and kinetics of CO2 adsorption on hydrotalcite adsorbent.
  45. (2004). Equilibrium theory analysis of dual re PSA for separation of a binary mixture.
  46. (2002). Equilibrium theory analysis of rectifying PSA for heavy component production.
  47. (1997). Equilibrium theory for solvent vapour recovery by pressure swing adsorption: analytical solution for process performance.
  48. (2001). Evolutionary and adaptive computing in engineering design.
  49. (2008). Evolutionary intelligence: an introduction to theory and applications with MATLAB.
  50. (1993). Evolutionary Multi-Criterion Optimization,
  51. (2009). Evolutionary multiobjective optimization in materials science and engineering.
  52. (1990). Exergy analysis of pressure swing adsorption processes for air separation.
  53. (1995). Experimental study of simultaneous removal and concentration of CO2 by an improved pressure swing adsorption process. Energy Convers.
  54. (2009). Extra packages for GNU Octave. http://octave. sourceforge.net/,
  55. (2000). Fast solution-adaptive volume method for PSA/VSA cycle simulation; 1 single step simulation.
  56. (2006). Gaussian Processes for Machine Learning.
  57. (2006). Generalized linear driving force approximation for adsorption of multicomponent mixtures.
  58. (1995). Genetic algorithms, tournament selection, and the eects of noise. http://citeseer.ist.psu.edu/cache/papers/cs/ 4086/http:zSzzSzgal4.ge.uiuc.eduzSzpubzSzpaperszSzIlliGALszSz95006. pdf/miller95genetic.pdf,
  59. (2008). Heavy re PSA cycles for CO2 recovery from gas: Part I. Performance evaluation.
  60. (2003). Heuristic design of pressure swing adsorption: A preliminary study.
  61. (2002). High enrichment and recovery of dilute hydrocarbons by dual-re pressure swing adsorption.
  62. (2006). High recovery cycles for gas separations by pressurre swing adsorption.
  63. (2001). High temprerature recovery of CO2 from gases using hydrotalcite adsorbent. Trans IChemE 79, Part B
  64. (2002). Hydrotalcite-like compounds as adsorbents for carbon dioxide.
  65. (2003). Improved ODE integrator and mass transfer approach for simulating a cyclic adsorption process.
  66. (1999). Iterative Methods for Optimization. Frontiers in Applied Mathematics.
  67. (2002). Mass transfer coecient in cyclic adsorption and desorption.
  68. (2006). Mass-transfer models for rapid pressure swing adsorption simulation.
  69. (1960). Method and apparatus for fractionating gaseous mixtures by adsorption,
  70. (1990). Mixed-integer programming for pressure swing adsorption cycle scheduling.
  71. (2002). Multi-objective evolutionary topological optimum design.
  72. (1995). multi-objective genetic algorithms.
  73. (2007). Multi-objective optimization of pressure swing adsorbers for air separation.
  74. (2001). Multi-objective optimization using evolutionary algorithms.
  75. (1999). Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach.
  76. (2002). Multiobjective optimization of cyclic adsorption processes.
  77. (2003). Multiobjective optimization of simulated moving bed and varicol processes using genetic algorithm.
  78. (1985). Multiple objective optimization with vector evaluated genetic algorithms.
  79. (2005). New pressure swing adsorption cycles for carbon dioxide sequestration.
  80. (1994). New PSA process with intermediate feed inlet position operated with dual re Application to carbon dioxide removal and enrichment.
  81. (2007). Nonequilibrium kinetic model that describes behaviour of CO2 in a K-promoted hydrotalcite-like compound.
  82. (2003). Nonlinear Analysis in Chemical Engineering.
  83. (2009). NSGA-II: A multi-objective optimization algorithm.
  84. (1996). Numerical analysis of a dual re PSA process during simultaneous removal and concentration of carbon dioxide dilute gas from air.
  85. (2002). Numerical analysis on the power consumption of the PSA process for recovering CO2 from gas.
  86. (1986). Numerical Recepies in FORTRAN. Press Sindacate of the University of Cambridge,
  87. (1983). Numerical simulation of a bed adsorption column by the method of orthogonal collocation.
  88. (1986). Numerical simulation of a PSA system using a pore diusion model.
  89. (1940). On a theory of the van der waals adsorption of gases.
  90. (1991). On the convergence of the multidirectional search algorithm.
  91. (2005). On the optimization of cyclic adsorption separation processes.
  92. (1998). On the optimization of periodic adsorption processes.
  93. (2003). Optimal operation of the pressure swing adsorption (PSA) process fo CO2 recovery.
  94. (2008). Optimal synthesis of a pressure swing adsorption process for CO2 capture.
  95. (1993). Optimization by direct search in matrix computation.
  96. (2003). Optimization of a pressureswing adsorption process using zeolite 13X for CO2 sequestration.
  97. (2009). Optimization of multibed pressure swing adsorption processes.
  98. (2005). Optimization of pressure swing adsorption and fractionated vacuum pressure swing adsorption processes for CO2 capture.
  99. (1997). Optimization of PSA systems - Studies on cyclic steady state convergence.
  100. (2008). Parallel approaches for multiobjective optimization.
  101. (1995). Parametric studies on CO2 separation and recovery by a dual re process consisting of both rectifying and stripping sections.
  102. (2003). Performance assessment of multiobjective optimizers: An analysis and review.
  103. (2002). Periodic states of adsorption cycles IV. direct optimization.
  104. (1997). Perry's Chemical Engineers' Handbook.
  105. (2008). Porosity and sorption behaviour.
  106. (1999). Predictive dynamic model of a small pressure swing adsorption air separation unit.
  107. (2006). Predictive dynamic model of air separation by pressure swing adsorption.
  108. (2004). Predictive dynamic model of single-stage ultra-rapid pressure swing adsorption.
  109. (1993). Predictive models for the breeder genetic algorithm I. Continuous parameter optimization.
  110. (1999). Pressure eects in adsorption systems.
  111. (2008). Pressure swing adsorption cycles for carbon dioxide capture.
  112. (1993). Pressure Swing Adsorption. VCH,
  113. (1987). Pressure swing air separation on a carbon molecular-sieve. 2. Investigation of a modi cycle with pressure equalization and no purge.
  114. (1984). Principles of adsorption and adsorption processes.
  115. (2004). Recent advances in simulation and optimal design of pressure swing adsorption systems.
  116. (1997). Recovery of carbon dioxide from stack gas by piston-driven ultra-rapid PSA.
  117. (2008). Reducing the cost of CO2 capture from gases using pressure swing adsorption.
  118. (2009). Scheduling hybrid with sequence dependent setup times to minimize makespan and maximum tardiness.
  119. (2005). Separation of CO2 from gas: a review.
  120. (2004). Simulation and optimal design of multiple bed pressure swing adsorption systems.
  121. (2003). Simulation and optimization of pressure swing adsorption system for air separation.
  122. (2009). Simulation and optimization of pressure swing adsorption systems using reduced-order modeling.
  123. (2000). Simulation based synthesis, design and optimization of pressure swing adsorption processes.
  124. (2005). Simulation of separation processes using volume method.
  125. (2006). Stripping PSA cycles for CO2 recovery from gas at high temperature using a hydrotalcite-like adsorbent.
  126. (1997). Study of a six-bed pressure swing adsorption process.
  127. (1996). Technology for removing carbon dioxide from power plant gas by the physical adsorption method. Energy convers. Mgmt
  128. (1993). The linear driving force model for fast-cycle adsorption and desorption in a spherical particle.
  129. (1992). The linear driving force model for short-cycle adsorption and desorption in a spherical particle.
  130. (2009). The MathWorks. MATLAB Getting Started Guide. www.mathworks.com/ access/helpdesk/help/techdoc/,
  131. (1997). The Maxwell-Stefan approach to mass transfer.
  132. (1991). The optimal design of pressure swing adsorption systems.
  133. (1947). Theory of chromatography. Part IV. The in of incomplete equilibrium on the front boundary of chromatograms and on the eectiveness of separation.
  134. (1999). Training neural networks for pressure swing adsorption processes.
  135. (2006). Understanding the adsorption and desorption behaviour of CO2 on a K-promoted hydrotalcite-like compound (HTlc) through nonequilibrium dynamimc isotherms.
  136. (1980). Us patent 4194892,
  137. (1964). Us patent:
  138. (1969). Us patent: 34304181,
  139. (1998). Use of neural networks in the simulation and optimization of pressure swing adsorption processes.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.