Warianty tytułu
Języki publikacji
Abstrakty
The current study investigated anaerobic biodigestion (AD) of livestock manure, including camel dung (CD) and sheep manure (SM) mixed with tomato and rumen at different mixed ratios under mesophilic (24–34°C) conditions. The study yielded successful results, as the process was able to produce sustainable bioenergy. Predicted biogas data was acquired through fundamental mathematical calculations using SPSS statistical analysis by nonlinear regression. Three kinetic models, namely the modified Gompertz, Logistic, and Transference models, were used for simulating the daily biogas produced from the examinations, and model parameters were determined simultaneously. The three models performed well in AD simulations, with high correlation coefficient values (R-squared) and low root mean square error (RMSE), showing a significant link between experimental data and model parameters. However, modified Gompertz demonstrated an improved fit in the simulation of the measurements, as it could accurately represent the curves in the plots, with the highest R-squared of 0.987 compared to Logistics 0.981 and Transference models 0.933, and the lowest RMSE was 0.356 compared to 0.432, and 0.812, respectively. This work suggested that a modified Gompertz model is suitable for estimating the biogas yield potential. The findings also show that rumen, tomato, and control biodigesters operating in mesophilic environments are dependable choices for producing biogas.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
10--23
Opis fizyczny
Bibliogr. 54 poz., rys., tab.
Twórcy
autor
- College of Science, Department of Physics, University of Jeddah, Jeddah, Kingdom of Saudi Arabia
autor
- College of Science, Department of Physics, University of Jeddah, Jeddah, Kingdom of Saudi Arabia, bushra5272@hotmail.com
Bibliografia
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- 6. Chai, T., Draxler, R. 2014. Root mean square error (RMSE) or mean absolute error (MAE)? Geosci. Model Dev., 7. https://doi.org/10.5194/ gmdd-7-1525-2014
- 7. Chicco, D., Warrens, M.J., Jurman, G. 2021. The coeff icient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE, and RMSE in regression analysis evaluation. PeerJ Computer Science, 7, 1–24. https://doi.org/10.7717/PEERJ-CS.623
- 8. Clarkson, M.A. 2023. A simulation of biogas production from lignocellulosic biomass co-digested with agricultural waste under the influence of bentonite catalyst. African Journal of Environmental Sciences & Renewable Energy, 12(1). www.afropolitanjournals.com [invalid URL removed]
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- 13. Elsayed, M., Andres, Y., Blel, W., Gad, A.A.M., Ahmed, A.T. 2016. Effect of VS organic loads and buckwheat husk on methane production by anaerobic co-digestion of primary sludge and wheat straw. Energy Conversion and Management, 117, 538–547. https://api.semanticscholar.org/CorpusID:100614343
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- 24. Li, Y., Zhang, R., Chen, C., Liu, G., He, Y., Liu, X. 2013. Biogas production from co-digestion of corn stover and chicken manure under anaerobic wet, hemi-solid, and solid-state conditions. Bioresource Technology, 149, 406–412. https://doi. org/10.1016/J.BIORTECH.2013.09.091
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- 26. Manjusha, C., Beevi, B.S. 2016. Mathematical modeling and simulation of anaerobic digestion of solid waste. Procedia Technology, 24, 654–660. https:// doi.org/10.1016/J.PROTCY.2016.05.174
- 27. Manu, G., Clarkson, M.A. 2022. Modelling the effects of dilute alkaline pretreatment of lignocellulosic biomass on biogas production. African Journal of Environmental Sciences & Renewable Energy, 5(1), www.afropolitanjournals.com.
- 28. Membere, E., John, U., Joshua, O. 2013. Computational model for biogas production from solid waste. Semantic Scholar, Corpus ID: 55380030. https://api. semanticscholar.org/CorpusID:55380030
- 29. Moharir, S., Bondre, A., Vaidya, S., Patankar, P., Kanaskar, Y., Karne, H. 2020. Comparative analysis of the amount of biogas produced by different cultures using the modified Gompertz model and logistic model. European Journal of Sustainable Development Research, 4(4), em0141. https://doi.org/10.29333/ejosdr/8550
- 30. Musa Abubakar, A., Umdagas, L.B., Waziri, A.Y., Buba Umdagas, L., Itamah, I. 2022. Estimation of biogas potential of liquid manure from kinetic models at different temperature. International Journal of Scientific Research in Computer Science and Engineering, 10(2), 46–63. https://www.researchgate. net/publication/360412702
- 31. Musingarimi, W., Okeleye, B.I., Okudoh, V.I., Ntwampe, S.K.O. 2019. Prediction of biogas production from the co-digestion of winery solid waste and zebra manure using the modified Gompertz model (GM) and Logistic Equation (LE). ERES, 8. https:// doi.org/10.17758/eares8.eap1119248
- 32. Nges, I.A., Liu, J. 2010. Effects of solid retention time on anaerobic digestion of dewatered-sewage sludge in mesophilic and thermophilic conditions. Renewable Energy, 35(10), 2200–2206. https://doi. org/10.1016/J.RENENE.2010.02.022
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- 34. Onu, C.E., Nweke, C.N., Nwabanne, J.T. 2022. Modeling of thermo-chemical pretreatment of yam peel substrate for biogas energy production: RSM, ANN, and ANFIS comparative approach. Applied Surface Science Advances, 11. https://doi. org/10.1016/j.apsadv.2022.100299
- 35. Opurum, C.C. 2021. Kinetic Study on Biogas Production from Cabbage (Brassica oleracea) Waste and Its Blend with Animal Manure Using Logistic Function Model. Journal of Advances in Microbiology. https://doi.org/10.9734/jamb/2021/v21i130317
- 36. Paritosh, K., Mathur, S., Pareek, N., Vivekanand, V. 2018. Feasibility study of waste (d) potential: co-digestion of organic wastes, synergistic effect and kinetics of biogas production. International Journal of Environmental Science and Technology, 15(5), 1009–1018. https://doi.org/10.1007/s13762-017-1453-5
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- 39. Sarstedt, M., Mooi, E. 2014. Regression Analysis. https://doi.org/10.1007/978-3-642-53965-7_7
- 40. Scano, E.A., Asquer, C., Pistis, A., Ortu, L., Demontis, V., Cocco, D. 2014. Biogas from anaerobic digestion of fruit and vegetable wastes: Experimental results on pilot-scale and preliminary performance evaluation of a full-scale power plant. Energy Conversion and Management, 77, 22–30. https://api.semanticscholar.org/CorpusID:93820575
- 41. Shitophyta, L.M., Arnita, A., Wulansari, H.D.A. 2023. Evaluation and modelling of biogas production from batch anaerobic digestion of corn stover with oxalic acid. Research in Agricultural Engineering, 69(3), 151–157. https://doi.org/10.17221/98/2022-RAE
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-5feefca9-b3b6-46fd-aa96-2fbd80c34e0e