Application of the roediger mathematical model for the prediction of performance in the anaerobic digestion of coffee wastewater

Authors

DOI:

https://doi.org/10.59169/pentaciencias.v6i3.1049

Keywords:

mathematical methods; performance prediction; anaerobic digestion; coffee wastewater

Abstract

The objective of the research that gave rise to this article was to establish an objective measurement mechanism for the prediction of methane yield in the anaerobic digestion of coffee wastewater. From a quantitative approach, the Roediger model, solution method, error analysis, optimization criteria and comparison between experimental and predicted values are used, arriving at the following conclusions: The adjustment methods applied in the present investigation generate similar results. each other, which are related to the experimental performances of the anaerobic digestion of coffee wastewater. It can be seen graphically that the isotherms follow the same trend and it can be corroborated through the analysis of variance (ANOVA) that the significance between the average of the statisticians used to evaluate the prediction of the Roediger model is relatively high. Therefore, the Roediger model constitutes a mathematical tool that can predict the methane yield of coffee wastewater in a statistically significant range, under the experimental conditions and requirements detailed in this work. Through the ANOVA analysis of variance, it was shown that the variables that make up the Roediger model, such as the maximum methane yield and kinetic constant, do not have a statistically significant relationship, since the probability value is greater than 0.05. The present study contributes to the scientific community and establishes a basis to carry out studies that evaluate other mathematical models with variables that characterize the development, inhibition and productivity of this biochemical process.

Downloads

Download data is not yet available.

References

Angelidaki, I., Ellegaard, L., & Ahring, B. K. (1993). A mathematical model for dynamic simulation of anaerobic digestion of complex substrates: focusing on ammonia inhibition. Biotechnology and bioengineering, 42(2), 159-166. https://doi.org/10.1002/bit.260420203

Angelidaki, I., Ellegaard, L., & Ahring, B. K. (1999). A comprehensive model of anaerobic bioconversion of complex substrates to biogas. Biotechnology and bioengineering, 63(3), 363-372. https://doi.org/10.1002/(SICI)1097-0290(19990505)63:3<363::AID-BIT13>3.0.CO;2-Z

Ayawei, N., Ebelegi, A. N., & Wankasi, D. (2017). Modelling and interpretation of adsorption isotherms. Journal of Chemistry, 2017. https://doi.org/10.1155/2017/3039817

Chynoweth, D. P., Owens, J. M., & Legrand, R. (2001). Renewable methane from anaerobic digestion of biomass. Renewable energy, 22(1-3), 1-8. https://doi.org/10.1016/S0960-1481(00)00019-7

Edeline, F. (1980). L'epuratuion biologique des eaux residuaires. Théorie et technologie. Belgium: Cebdic-Liege.

Gujer, W., & Zehnder, A. J. (1983). Conversion processes in anaerobic digestion. Water science and technology, 15(8-9), 127-167. https://doi.org/10.2166/wst.1983.0164

Kythreotou, N., Florides, G., & Tassou, S. A. (2014). A review of simple to scientific models for anaerobic digestion. Renewable Energy, 71, 701-714. doi: 10.1016/j.renene.2014.05.055

Morales, C., Rivadeneira, S., & García, S. (2018). Digestión anaerobia de las aguas residuales de la industria del café instantáneo. Revista ESPAMCIENCIA, 9(1), 23-32.

Morales, C & Vera, J. (2018). Producción de metano a partir de las aguas residuales generadas en la industria del café instantáneo en régimen termofílico continuo con presencia de taninos. Tesis de Pregrado: Universidad Técnica de Manabí.

Parker, W. J. (2005). Application of the ADM1 model to advanced anaerobic digestion. Bioresource technology, 96(16), 1832-1842.

Pagés-Díaz, J., Pereda-Reyes, I., Sanz, J. L., Lundin, M., Taherzadeh, M. J., & Horváth, I. S. (2018). A comparison of process performance during the anaerobic mono-and co-digestion of slaughterhouse waste through different operational modes. Journal of Environmental Sciences, 64, 149-156. doi: 10.1016/j.jes.2017.06.004

Peressini, A. L., Sullivan, F. E., & Uhl, J. J. (1988). The mathematics of nonlinear programming (pp. 10-13). New York: Springer-Verlag.

Pérez-López, C. (2005). Métodos estadísticos avanzados con SPSS. Thompson. Madrid.

Rodríguez, P., Pérez, S., and Fernández, B. (2000). Study of the anaerobic biodegradability of the wastewater during wet processing of coffee. Interciencia. 25(8): 386-390.

Yu, L., Wensel, P. C., Ma, J., & Chen, S. (2013). Mathematical modeling in anaerobic digestion (AD). J Bioremed Biodeg S 4(003). doi:10.4172/2155- 6199.S4-003

Published

2024-03-29

How to Cite

Yugla Lema , D. A. (2024). Application of the roediger mathematical model for the prediction of performance in the anaerobic digestion of coffee wastewater . Revista Científica Arbitrada Multidisciplinaria PENTACIENCIAS - ISSN 2806-5794., 6(3), 1–24. https://doi.org/10.59169/pentaciencias.v6i3.1049

Issue

Section

Artículos originales