Appraisal of methane production and anaerobic fermentation kinetics of livestock manures using artificial neural network
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ORIGINAL ARTICLE
Appraisal of methane production and anaerobic fermentation kinetics of livestock manures using artificial neural networks and sinusoidal growth functions Mohamed Mahmoud Ali1 · Mamoudou Ndongo1 · Kaan Yetilmezsoy2 · Majid Bahramian2 · Boudy Bilal3 · Issakha Youm4 · Bülent İlhan Goncaloğlu2 Received: 31 May 2020 / Accepted: 12 October 2020 © Springer Japan KK, part of Springer Nature 2020
Abstract This study aimed to perform a comparative analysis of the performance of five models (Gompertz, logistic, Richards, the first-order, artificial neural networks) in predicting methane production rate from anaerobic digestion of livestock manures. The input variables were fermentation time, digestion temperature, biogas temperature, ambient temperature, pH, and specific biogas production rate. The physicochemical compositions of cow manure and sheep manure showed that volatile solid (VS) contents were close to each other in manure compositions (77.6% and 64.7%, respectively), while the potential of methane production from cow manure (673.44 mL C H4/g VS) was greater than that from sheep manure (320.32 mL C H4/g VS). The 2 determination coefficients (R ) for logistic function, Gompertz, Richards, the first-order, and ANN models were obtained as 0.968, 0.967, 0.975, 0.825, and 0.995 for the cow manure, respectively. In case of the sheep manure, the R2 values obtained from these models were 0.976, 0.979, 0.981, 0.968 and 0.991, respectively. Although the determination coefficients of all models were in satisfactory agreement with the experimental data, the ANN model showed competitive lower RMSE values of 0.111 and 0.164 for cow and sheep manure data sets, respectively, indicating its superior performance than other models. Keywords Anaerobic digestion · Artificial neural networks · Methane production · Sinusoidal growth functions · Livestock manure
Introduction Anaerobic digestion is a process in which the digestate, an energy source (e.g., electricity, heat) in the form of biogas or an organic fertilizing material, is degraded via synergistic and sequential processes (e.g., hydrolysis, acidogenesis,
acetogenesis, and methanogenesis) done by bacterial and archaeal communities in the absence of molecular oxygen [1, 2]. Since this process contributes to the sustainability goals of the countries, the estimation of biogas potential and the methane content have been studied as the subject of various investigations in the literature [3–7]. Besides,
* Mohamed Mahmoud Ali [email protected]
Bülent İlhan Goncaloğlu [email protected]
* Kaan Yetilmezsoy [email protected]; [email protected]
1
Department of Physics, University of Nouakchott Al Aasriya (UNA), Nouakchott, Mauritania
2
Majid Bahramian [email protected]; [email protected]
Department of Environmental Engineering, Faculty of Civil Engineering, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, Turkey
3
Boudy Bilal [email protected]; [email protected]
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