Modelling and Optimization of CO2 Absorption in Pneumatic Contactors Using Artificial Neural Networks Developed with Clonal Selection-Based Algorithm
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Petronela Cozma
, Elena Niculina Drăgoi , Ioan Mămăligă , Silvia Curteanu , Walter Wukovits , Anton Friedl and Maria Gavrilescu
Abstract
Our research focuses on the application of airlift contactors (ALRs) for the decontamination of CO2-containing gas streams, such as biogas. To assess the performance of ALRs during CO2 absorption, a complex experimental programme was applied in a laboratory-scale rectangular pneumatic contactor, able to operate either as a bubble column or as an airlift reactor. Using the experimental data, a model based on artificial neural network (ANN) was developed. The algorithm for determining the optimal neural network model and for reactor optimization is clonal selection (CS), belonging to artificial immune system class, which is a new computational intelligence paradigm based on the principles of the vertebrate immune system. To improve its capabilities and the probability for highly suitable models and input combinations, addressing maximum efficiency, a Back-Propagation (BK) algorithm – a supervised learning method based on the delta rule – is used as a local search procedure. It is applied in a greedy manner for the best antibody found in each generation. Since the highest affinity antibodies are cloned in the next generation, the effect of BK on the suitability of the individuals propagates into a large proportion of the population. In parallel with the BK hybridization of the basic CS–ANN combination, a series of normalization procedures are included for improving the overall results provided by the new algorithm called nCS-MBK (normalized Clonal Selection-Multilayer Perceptron Neural Network and Back-Propagation algorithm). The optimization allowed for achieving the optimal reactor configuration, which leads to a maximum amount of CO2 dissolved in water.
Funding statement: Funding: Parts of this work were supported by the grant of the Romanian National Authority for Scientific Research, CNCS – UEFISCDI, project number PN-II-ID-PCE-2011-3-0559, Contract 265/2011 and by the “Partnership in priority areas – PN-II” program, financed by ANCS, CNDI – UEFISCDI, project PN-II-PT-PCCA-2011-3.2-0732, No. 23/2012.
References
[1] A.Bandyopadhyay, Amine versus ammonia absorption of CO2 as a measure of reducing GHG emission: a critical analysis, Clean Technol. Environ. Policy13 (2011), 269–294.10.1007/s10098-010-0299-zSearch in Google Scholar
[2] C.Ciubota-Rosie, M.Gavrilescu and M.Macoveanu, Biomass – an important renewable source of energy in Romania, Environ. Eng. Manage. J. 7 (2008), 559–568.10.30638/eemj.2008.079Search in Google Scholar
[3] P.Cozma and M.Gavrilescu, Removal of CO2 from gas streams in airlift reactor, Bull. Polytech. Inst. Iasi. LVI (LX) (2010), 149–160.Search in Google Scholar
[4] OlajireA.A, CO2 capture and separation technologies for end-of-pipe applications – a review, Energy35 (2010), 2610–2628.10.1016/j.energy.2010.02.030Search in Google Scholar
[5] C.Stewart and M.-A.Hessami, A study of methods of carbon dioxide capture and sequestration––the sustainability of a photosynthetic bioreactor approach, Energy Convers. Manage. 46 (2005), 403–420.10.1016/j.enconman.2004.03.009Search in Google Scholar
[6] A.Padurean, C.-C.Cormos and P.S.Agachi, Techno-economical evaluation of post- and pre- combustion carbon dioxide capture methods applied for an IGCC power generation plant, Environ. Eng. Manage. J. 12 (2013), 2191–2201.10.30638/eemj.2013.271Search in Google Scholar
[7] M.Gavrilescu, Biomass power for energy and sustainable development, Environ. Eng. Manage. J. 7 (2008), 617–640.10.30638/eemj.2008.086Search in Google Scholar
[8] M.E.Russo, G.Olivieri, P.Salatino and A.Marzocchella, CO2 capture by biomimetic adsorption: enzyme mediated CO2 absorption for post-combustion carbon sequestration and storage process, Environ. Eng. Manage. J. 12 (2013), 1595–1603.10.30638/eemj.2013.194Search in Google Scholar
[9] P.Cozma, Decontamination of fluid fluxes in pneumatic contactors, PhD Thesis, Gheorghe Asachi Technical University of Iasi, 2012.Search in Google Scholar
[10] P.Cozma, C.Ghinea, I.Mămăligă, W.Wukovits, A.Friedl and M.Gavrilescu, Environmental impact assessment of high pressure water scrubbing biogas upgrading technology, CLEAN Soil Air Water. 41 (2013), 917–927.10.1002/clen.201200303Search in Google Scholar
[11] J.I.Eze and K.E.Agbo, Maximizing the potentials of biogas through upgrading, Am. J. Sci. Ind. Res.1 (2010), 604–609.10.5251/ajsir.2010.1.3.604.609Search in Google Scholar
[12] S.S.Kapdi, K.V.Virendra, S.K.Rajesh and R.Prasad, Upgrading biogas for utilization as a vehicle fuel, Asian J. Energy Environ. 7 (2006), 387–393.Search in Google Scholar
[13] M.Persson, O.Jönsson and A.Wellinger, Biogas upgrading to vehicle fuel standards and grid injection, IEA bioenergy – task 37 – energy from biogas and landfill gas, 2006, Available at: http://www.docstoc.com/docs/42238165/Biogas-Upgrading-to-Vehicle-Fuel-Standards-and-Grid- Injection. Accessed on March 10, 2014.Search in Google Scholar
[14] A.Petersson and A.Wellinger, Biogas upgrading technologies – developments and innovations, IEA bioenergy – task 37 – energy from biogas and landfill gas, 2009, Available at: http://www.ieabiogas. net/Dokumente/upgrading_rz_low_final.pdf. Accessed on March 10, 2014.Search in Google Scholar
[15] C.Freitas and J.A.Teixeira, Hydrodynamic studies in an airlift reactor with an enlarged degassing zone, Bioprocess Eng. 18 (1998), 267–279.10.1007/s004490050441Search in Google Scholar
[16] M.Gavrilescu and R.Z.Tudose, Effects of downcomer-to-riser cross sectional area ratio on operation behaviour of external-loop airlift bioreactors, Bioprocess Biosyst. Eng. 15 (1996), 77–85.10.1007/BF00372981Search in Google Scholar
[17] M.Gavrilescu and R.Z.Tudose, Mixing in airlift reactors, Roum. Chem. Q. Rev.5 (1997a), 53–66.10.1016/S1385-8947(96)03177-4Search in Google Scholar
[18] K.Patan, Locally recurrent neural networks. Artificial neural networks for the modelling and fault diagnosis of technical processes, 29–63, Springer, Berlin, Heidelberg, 2008.10.1007/978-3-540-79872-9_3Search in Google Scholar
[19] A.Hunter, L.Kennedy, J.Henry and I.Ferguson, Application of neural networks and sensitivity analysis to improved prediction of trauma survival, Comput. Methods Programs Biomed. 62 (2000), 11–19.10.1016/S0169-2607(99)00046-2Search in Google Scholar
[20] D.Dasgupta and F.Nino, Immunological computation. Theory and applications, CRC Press, New York, NY, 2009.10.1201/9781420065466Search in Google Scholar
[21] J.Zheng, Y.Chen and W.Zhang, A survey of artificial immune applications, Artif. Intell. Rev. 34 (2010), 19–34.10.1007/s10462-010-9159-9Search in Google Scholar
[22] B.Haktanirlar Ulutas and S.Kulturel-Konak, A review of clonal selection algorithm and its applications, Artif. Intell. Rev. 36 (2011), 117–138.10.1007/s10462-011-9206-1Search in Google Scholar
[23] H.Hikita and H.Ishikawa, Physical absorption in agitated vessels with a flat gas-liquid interface, Bull. Univ. Osaka Prefect. Ser., A Eng. Nat. Sci. 18 (1969), 427–437.Search in Google Scholar
[24] J.J.Carroll, J.D.Slupsky and A.E.Mather, The solubility of carbon dioxide in water at low pressure, J. Phys. Chem. Ref. Data. 20 (1991), 1201–1209.10.1063/1.555900Search in Google Scholar
[25] E.S.Hamborg, S.R.A.Kersten and G.F.Versteeg, Absorption and desorption mass transfer rates in non-reactive systems, Chem. Eng. J.161 (2010), 191–195.10.1016/j.cej.2010.03.079Search in Google Scholar
[26] ASCE American, Society of civil engineers standard for the measurement of oxygen transfer in clean water, ASCE, New York, NY, 1984, 978-0-87262-430-6.Search in Google Scholar
[27] E.N.Dragoi, G.D.Suditu and S.Curteanu, Modeling methodology based on artificial immune system algorithm and neural networks applied to removal of heavy metals from residual waters, Environ. Eng. Manage. J. 11 (2012), 1907–1914.10.30638/eemj.2012.239Search in Google Scholar
[28] Y.Xin, Evolving artificial neural networks, Proc. IEEE. 87 (1999), 1423–1447.10.1109/5.784219Search in Google Scholar
[29] K.Priddy and P.Keller, Artificial neural networks: an introduction, SPIE Press, Washington, DC, 2005.10.1117/3.633187Search in Google Scholar
[30] P.Cozma and M.Gavrilescu, Airlift reactors: applications in wastewater treatment, Environ. Eng. Manage. J. 11 (2012), 1505–1515.10.30638/eemj.2012.189Search in Google Scholar
[31] O.Dolgoš, J.Klein, A.A.Vicente and J.A.Teixeira, Behaviour of dual gas-liquid separator in an internal-loop airlift reactor–effect of top clearance, in: 28th Conference SSCHE, Proceedings on CD ROM, Tatranské Matliare (SK), 2001, Available at: http://repositorium.sdum.uminho.pt/bitstream/1822/3685/1/SSChe2001-L23%5B1%5D.pdf. Accessed January 30, 2014.Search in Google Scholar
[32] M.Gavrilescu and R.Z.Tudose, Mixing studies in external-loop airlift reactors, Chem. Eng. J. 66 (1997b), 97–104.10.1016/S1385-8947(96)03177-4Search in Google Scholar
[33] M.Gavrilescu and R.Z.Tudose, Concentric-tube airlift bioreactors. Part III: effects of geometry on mass transfer, Bioprocess Eng. 19 (1998), 175–178.10.1007/s004490050502Search in Google Scholar
[34] J.Klein, Š.Godo, O.Dolgoš and J.Markoš, Effect of a gas–liquid separator on the hydrodynamics and circulation flow regimes in internal-loop airlift reactors, J. Chem. Technol. Biotechnol. 76 (2001), 516–524.10.1002/jctb.410Search in Google Scholar
[35] K.H.Choi, Y.Chisti and M.Moo-Young, Influence of the gas-liquid separator design on hydrodynamic and mass transfer performance of split-channel airlift reactors, J. Chem. Technol. Biotechnol. 62 (1995), 327–332.10.1002/jctb.280620403Search in Google Scholar
[36] Y.Chisti, Pneumatically agitated bioreactors in industrial and environmental bioprocessing: hydrodynamics, hydraulics, and transport phenomena, Appl. Mech. Rev. 51 (1998), 33–112.10.1115/1.3098989Search in Google Scholar
[37] J.C.Merchuk and M.Gluz, Bioreactors, air-lift reactors, in: Encyclopedia of bioprocess technology: fermentation, biocatalysis and bioseparation, Flickinger M.C, Drew S.W. (Eds.), pp. 320–349, John Wiley and Sons,New York, 2003.10.1002/0471250589.ebt029Search in Google Scholar
[38] Y.Chisti, Airlift bioreactors, Elsevier, New York, NY, 1989.Search in Google Scholar
[39] M.Gavrilescu, Pneumatic bioreactors (in Romanian), Dosoftei Publishing House, Iasi, 1997.Search in Google Scholar
[40] J.C.Merchuk and M.H.Siegel, Air-lift reactors in chemical and biological technology, J. Chem. Technol. Biotechnol. 41 (1988), 105–120.10.1002/jctb.280410204Search in Google Scholar
[41] B.Jajuee, A.Margaritis, D.Karamanev and M.A.Bergougnou, Mass transfer characteristics of a novel three-phase airlift contactor with a semipermeable membrane, Chem. Eng. J. 125 (2006), 119–126.10.1016/j.cej.2006.08.020Search in Google Scholar
[42] N.Tunthikul, P.Wongsuchoto and P.Pavasant, Hydrodynamics and mass transfer behavior in multiple draft tube airlift contactors, Korean J. Chem. Eng. 23 (2006), 881–887.10.1007/s11814-006-0003-5Search in Google Scholar
[43] F.Yazdian, S.A.Shojaosadati, M.Nosrati, M.Pesaran Hajiabbas and E.Vasheghani-Farahani, Investigation of gas properties, design, and operational parameters on hydrodynamic characteristics, mass transfer, and biomass production from natural gas in an external airlift loop bioreactor, Chem. Eng. Sci. 64 (2009), 2455–2465.10.1016/j.ces.2009.02.023Search in Google Scholar
©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Modulation of Electron-Acoustic Waves in a Plasma with Vortex Electron Distribution
- Linear Generalized Synchronization Using Bidirectional Coupling
- On the Exact Solutions of the Thomas Equation by Algebraic Methods
- On the Soliton Solution and Jacobi Doubly Periodic Solution of the Fractional Coupled Schrödinger–KdV Equation by a Novel Approach
- Modelling and Optimization of CO2 Absorption in Pneumatic Contactors Using Artificial Neural Networks Developed with Clonal Selection-Based Algorithm
- Analysis of Stochastic Nonlinear Dynamics in the Gear Transmission System with Backlash
- Chemical Reaction Effects in Maxwell Fluid Flow Over Permeable Surface: Dual Solutions
Articles in the same Issue
- Frontmatter
- Modulation of Electron-Acoustic Waves in a Plasma with Vortex Electron Distribution
- Linear Generalized Synchronization Using Bidirectional Coupling
- On the Exact Solutions of the Thomas Equation by Algebraic Methods
- On the Soliton Solution and Jacobi Doubly Periodic Solution of the Fractional Coupled Schrödinger–KdV Equation by a Novel Approach
- Modelling and Optimization of CO2 Absorption in Pneumatic Contactors Using Artificial Neural Networks Developed with Clonal Selection-Based Algorithm
- Analysis of Stochastic Nonlinear Dynamics in the Gear Transmission System with Backlash
- Chemical Reaction Effects in Maxwell Fluid Flow Over Permeable Surface: Dual Solutions