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Modeling and optimization of the prediction of bio-oil yield using generalized approach with different biomass and reactor types

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Abstract

Fourteen multivariate regression models were applied to model the bio-oil yield obtained by pyrolysis using different combinations of predictor variables. The data modeling was separated into the reactor regime: batch and continuous. For batch reactor, the Cubist model with the radial base function provided the best bio-oil prediction result with RMSEP of 0.92%, R2 of 0.99, and MAE of 0.73%. This better result was obtained using the process’s modeling variables, proximate composition, elemental composition, and lignocellulose biomass concentration. For continuous reactor, the best result was obtained with the Extremely Randomized Tree model applied to the complete set of predictors with RMSEP of 2.15%, R2 of 0.96, and MAE of 1.74%. Both models showed an outstanding performance for bio-oil yield prediction for batch and continuous reactors widely used in the chemical industry. The optimization analysis of the models showed that the batch reactor achieves a bio-oil yield as high as the fluidized bed reactor if operated under the right conditions. The PSO method used for the optimization found the global optimum for the defined analysis ranges.

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Acknowledgements

The authors are thankful to Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo à Pesquisa no Rio de Janeiro (FAPERJ), and Universidade do Estado do Rio de Janeiro (Programa Pró-Ciência) for their financial support. ASL has research scholarships from UERJ (Programa Pró-Ciência), FAPERJ (Cientista de Nosso Estado), and CNPq, respectively.

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  1. Graduate Program in Chemical Engineering, Rio de Janeiro State University, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ, 20550-013, Brazil

    Raquel Escrivani Guedes & Aderval S. Luna

  2. Faculty of Technology, Rio de Janeiro State University, Rodovia Presidente Dutra Km 298, Polo Industrial, Resende, Rio de Janeiro, 27537-000, Brazil

    Alexandre Rodrigues Torres

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Guedes, R.E., Torres, A.R. & Luna, A.S. Modeling and optimization of the prediction of bio-oil yield using generalized approach with different biomass and reactor types. Braz. J. Chem. Eng. (2023). https://doi.org/10.1007/s43153-023-00381-4

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