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Recent Innovations in Chemical Engineering


ISSN (Print): 2405-5204
ISSN (Online): 2405-5212

Research Article

Development of a Hybrid First Principles-ANN Model for the Steam Hydrator in a Calcium Looping Process

Author(s): Shreyasi Dutta, Shrinkhla, Mohamed Khalil Kallangodan and Anand VP Gurumoorthy*

Volume 14, Issue 2, 2021

Published on: 05 November, 2020

Page: [176 - 190] Pages: 15

DOI: 10.2174/2405520413999201105162827

Price: $65


One of the promising technologies for isolating carbon dioxide from a mixture of industrial flue gases is the calcium looping process. This process involves a reversible reaction between sorbent Calcium Oxide and Carbon Dioxide. Because sorbent loses its activity after multiple cycles, hydration step was proposed, which is another reversible reaction where deactivated sorbent is treated with steam to form Ca(OH)2, which undergoes the backward reaction to give back the regenerated sorbent. Blamey et al. (2016) developed a shrinking core model based on which, studies were carried out on a small experimental reactor. This paper aims at developing a hybrid model by combining first principles model and an ANN model for improved prediction of the conversion in hydration of calcium looping process and to scale it up for optimal operations. The hybrid model is tested for various combinations of training variables and data sets with respect to temperature and cycle number and it is found that the hybrid model indeed gives better results. The performance prediction of Hybrid modelling is compared to the individual performance prediction of the ANN model and First principles approach.

Keywords: Carbon capture, calcium looping, steam hydration, shrinking core model, hybrid modelling, artificial neural network, first principles model, global warming.

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Cramer W, G.W. Yohe, M. Auffhammer, et al. Detection and attribution of observed impacts. InClimate Change: Impacts, adaptation, and vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2014; 979-1037.
Hegerl GC, F.W. Zwiers, P. Braconnot, et al. N.P. Gillett, Y. Luo, J.A. Marengo Orsini, N. Nicholls, J.E. Penner and P.A. Stott, 2007: Understanding and Attributing Climate Change. InClimate Change: The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press Cambridge, United Kingdom and New York, NY, USA 2007.
Xu Y, Isom L, Hanna MA. Adding value to carbon dioxide from ethanol fermentations. Bioresource Technol 2010; 101(10): 3311-9.
Rochelle GT. Amine scrubbing for CO2 capture. Science 2009; 325(5948): 1652-4.
IPCC Special Report on Carbon Dioxide Capture and Storage. Prepared by Working Group III of the Intergovernmental Panel on Climate Change. Metz, B., O. Davidson, H. C. de Coninck, M. Loos, and L. A. Meyer (eds.) Cambridge University Press Cambridge, United Kingdom and New York, NY, USA 2005; 442
Ahn H, Luberti M, Liu Z, Brandani S. Process configuration studies of the amine capture process for coal-fired power plants. Int J Greenhouse Gas Control 2013; 16: 29-40.
Blamey J, Zhao M, Manovic V, Anthony EJ, Dugwell DR, Fennell PS. A shrinking core model for steam hydration of CaO-based sorbents cycled for CO2 capture. Chem Eng J 2016; 291: 298-305.
Nelles O. Nonlinear system identification: from classical approaches to neural networks and fuzzy models.; Springer: Verlag Berlin Heidelberg 2001.
Zendehboudi S, Rezaei N, Lohi A. Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review. Appl Energy 2018; 228: 2539-66.
Wu ZF, Li J, Cai MY, Lin Y, Zhang WJ. On mem electronics and applications (ICIEA). IEEE 2016; pp. 1400-4.
Cherkassky V, Mulier FM. Learning from data. John Wiley & Sons 2007.
Del RL, Allgöwer F, Glielmo L, Guardiola C, Kolmanovsky I. Automotive model predictive control. Springer Science & Business Media London 2010.
Bohlin TP. Practical grey-box process identification. Springer Science & Business Media 2006.
Roffel B. Betlem Ben, editors. Process dynamics and control. John Wiley & Sons; In: 2007.
P.C. Fu, J.P. Barford. A hybrid neural network-first principles approach for modelling of cell metabolism. Computers Chem Eng 1995; 20(617): 951-8.
Kumar Akkisetty P, Lee U, Reklaitis GV, et al. Population balance model-based hybrid neural network for a pharmaceutical milling process. J Pharm Innov 2010; 5: 161-8.
Gurumoorthy KA. Kosanovich. Improving the prediction capability of radial basis function networks. Ind Eng Chem Res 1998; 37: 3956-70.
Blamey J, Anthony EJ, Wang J, Fennell PS. The calcium looping cycle for large-scale CO2 capture. Pror Energy Combust Sci 2010; 36(2): 260-79.
Wang A, Wang D, Deshpande N, Phalak N, Wang W, Fan LS. Design and operation of a fluidized bed hydrator for steam reactivation of calcium sorbent. Ind Eng Chem Res 2013; 52(8): 2793-802.
Silaban A, Harrison DP. High temperature capture of carbon dioxide: Characteristics of the reversible reaction between CaO(s) and CO2(g). Chem Eng Comm 1995; 137: 177-90.
Karia T, Sachitanand M, Anand VP. Gurumoorthy. Investigation of the applicability of shrinking core model on a pilot-scale steam hydrator reactor. Int J Chemtech Res 2017; 10(7): 157-68.
The UK Carbon Capture Usage and Storage deployment pathway: House of Commons Business, Energy and Industrial Strategy Committee:
Rodríguez N, Alonso M, Grasa G, Abanades JC. Process for capturing CO2 arising from the calcination of the CaCO3 used in cement manufacture. Env Sci Technol 2008; 42(18): 6980-4.
Shimizu T, Hirama T, Hosoda H, Kitano K, Inagaki M, Tejima K. A twin fluid-bed reactor for removal of CO2 from combustion processes. Chem Eng Res Des 1999; 77(1): 62-8.
Fennell PS, Pacciani R, Dennis JS, Davidson JF, Hayhurst AN. The effects of repeated cycles of calcination and carbonation on a variety of different limestones, as measured in a hot fluidized bed of sand. Energy Fuels 2007; 21(4): 2072-81.
Florin NH, Blamey J, Fennell PS. Synthetic CaO-based sorbent for CO2 capture from large-point sources. Energy Fuels 2010; 24(8): 4598-604.
Schaube F, Koch L, Wörner A, Müller-Steinhagen H. A thermodynamic and kinetic study of the de-and rehydration of Ca(OH)2 at high H2O partial pressures for thermo-chemical heat storage. Thermochimica Acta 2012; 538: 9-20.

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