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Prediction of biogas production from food waste in a continuous stirred microbial electrolysis cell (CSMEC) with backpropagation artificial neural network

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Abstract

In this study, a three-layer backpropagation neural network (BPNN) model was utilised as an estimation model of biogas production from a continuous stirred microbial electrolysis cell (CSMEC) and a continuous stirred tank reactor (CSTR) treating food waste. The study focuses on the effects of several factors, such as chemical oxygen demand removal, oxidation reduction potential (ORP), volatile fatty acids (VFAs), organic loading rate (OLR), influent pH, effluent pH, and influent ammonium on biogas production. The biogas recovery target for the model was set at 75–85%. Levenberg Marquardt backpropagation algorithm was chosen as the algorithm for the model out of the seven-benchmark comparison. Determination coefficient (R2), index of agreement (IA) and fractional variance (FV) used for the exactitude of optimal BPANN model were 0.8902, 0.925 and 0.0715 in the CSMEC and 0.9414, 0.966 and 0.0484 in the CSTR, respectively. The results of this study showed a higher accuracy and dependability of BPANN in modelling and optimizing the process parameter interactions in relation to biogas production in both the CSMEC and CSTR.

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Acknowledgement

The authors are most grateful to the National Natural Science Foundation of China (No. 31870114) and the State Key Laboratory of Urban Water Resource and Environment (Harbin Institute of Technology) (No. 2019DX02) for their immense support without which this study would have been a mirage.

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Authors and Affiliations

  1. State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China

    Frank Koblah Quashie, Anran Fang, Li Wei, Felix Tetteh Kabutey & Defeng Xing

  2. Nuclear Application Centre (NAC), National Nuclear Research Institute (NNRI), Ghana Atomic Energy Commission (GAEC), P.O. Box LG, 80, Legon, Ghana

    Frank Koblah Quashie

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  1. Frank Koblah Quashie
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Contributions

F.K. Quashie  Conceptualization, Methodology, Validation, Software Investigation, Formal analysis, Writing- Original draft preparation

D. Xing  Methodology

F.K.Quashie  Investigation, Formal analysis, Writing- Original draft preparation

A. Fang  Investigation, Validation, Software

L. Wei  Formal analysis, Validation

F.T. Kabutey  Formal analysis

D. Xing  Conceptualization, Methodology, Supervision, Resources, Funding acquisition, Writing- Original draft preparation, Writing - Review & Editing

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Correspondence to Defeng Xing.

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Quashie, F.K., Fang, A., Wei, L. et al. Prediction of biogas production from food waste in a continuous stirred microbial electrolysis cell (CSMEC) with backpropagation artificial neural network. Biomass Conv. Bioref. 13, 287–298 (2023). https://doi.org/10.1007/s13399-020-01179-x

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