21
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Modelación de la generación de metano a partir de suero lácteo y excreta de ganado en codigestión anaerobia Translated title: Methane production modelling from cheese whey and livestock excreta anaerobic co-digestion

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Resumen Introducción: la producción de biogás es una alternativa sostenible para el aprovechamiento energético de los residuos orgánicos. Esta investigación presenta el estudio y modelación de la producción de biogás, generada por la codigestión de excreta de vaca y suero de leche. Método: se realizaron experimentos de Digestión Anaerobia (DA), utilizando reactores herméticos, a temperatura ambiente monitoreados por 75 días consecutivos con base en el método de potencial bioquímico de metano (BMP). Se utilizaron los modelos logísticos: exponencial de crecimiento máximo Gompertz y Richards modificados para representar la cinética del fenómeno de producción de metano. Resultados y discusiones: se determinó la tasa máxima de producción de metano, la duración de la fase lag, y el potencial de producción de metano acumulado. Se comparó la suma de cuadrados residual y el coeficiente de correlación para identificar el modelo matemático que mejor describe el fenómeno. Se encontró que existe un potencial para la generación de biogás y el aprovechamiento de los residuos experimentados en codigestión. Conclusiones: la experimentación y modelación matemática permitió describir el fenómeno de la producción de biogás, con residuos de la industria láctea y de los sistemas pecuarios. Los resultados de la investigación presentan el potencial de incentivar la producción de energía, en el sector agropecuario regional, a partir de la tecnología DA aprovechando los residuos de la industria láctea bajo el concepto de economía circular.

          Translated abstract

          Abstract Introduction: the production of biogas is a sustainable alternative for the energy use of organic waste. This investigation presents the study and modeling of biogas production, generated by the co-digestion of livestock excreta and cheese whey. Method: Anaerobic Digestion (DA) experiments were carried out, using hermetic reactors, at room temperature monitored for 75 consecutive days based on the biochemical methane potential (BMP) method. The logistic models were used: exponential maximum growth, Gompertz and Richards modified to represent the kinetics of the methane production phenomenon. Results and discussions: the maximum methane production rate, the duration of the lag phase, and the accumulated methane production potential were determined. The residual sum of squares and the correlation coefficient were compared to identify the mathematical model that best describes the phenomenon. It was found that there is a potential for the generation of biogas and the use of the residues experienced in this work in co-digestion. Conclusions: experimentation and mathematical modeling allowed to describe the phenomenon of biogas production, with residues from the dairy industry and livestock systems. The results of the research show the potential to incentivize energy production in the regional agricultural sector, based on DA technology, taking advantage of the dairy industry waste under the concept of circular economy.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          Modeling of the Bacterial Growth Curve

          Several sigmoidal functions (logistic, Gompertz, Richards, Schnute, and Stannard) were compared to describe a bacterial growth curve. They were compared statistically by using the model of Schnute, which is a comprehensive model, encompassing all other models. The t test and the F test were used. With the t test, confidence intervals for parameters can be calculated and can be used to distinguish between models. In the F test, the lack of fit of the models is compared with the measuring error. Moreover, the models were compared with respect to their ease of use. All sigmoidal functions were modified so that they contained biologically relevant parameters. The models of Richards, Schnute, and Stannard appeared to be basically the same equation. In the cases tested, the modified Gompertz equation was statistically sufficient to describe the growth data of Lactobacillus plantarum and was easy to use.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Towards a standardization of biomethane potential tests.

            Production of biogas from different organic materials is a most interesting source of renewable energy. The biomethane potential (BMP) of these materials has to be determined to get insight in design parameters for anaerobic digesters. Although several norms and guidelines for BMP tests exist, inter-laboratory tests regularly show high variability of BMPs for the same substrate. A workshop was held in June 2015, in Leysin, Switzerland, with over 40 attendees from 30 laboratories around the world, to agree on common solutions to the conundrum of inconsistent BMP test results. This paper presents the consensus of the intense roundtable discussions and cross-comparison of methodologies used in respective laboratories. Compulsory elements for the validation of BMP results were defined. They include the minimal number of replicates, the request to carry out blank and positive control assays, a criterion for the test duration, details on BMP calculation, and last but not least criteria for rejection of the BMP tests. Finally, recommendations on items that strongly influence the outcome of BMP tests such as inoculum characteristics, substrate preparation, test setup, and data analysis are presented to increase the probability of obtaining validated and reproducible results.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Inhibitory effect of heavy metals on methane-producing anaerobic granular sludge.

              Heavy metals could potentially have a negative impact on methane-producing anaerobic granular sludge. The objective of this study was to investigate the inhibitory effect of zinc(II), chromium(VI), nickel(II), and cadmium(II) on the methane-producing activity of granular sludge sampled from the upflow anaerobic sludge blanket reactor that treats the wastewaters of a yeast factory, for a range of concentrations between 0 and 128 mg L(-1). The modified Gompertz, Logistic, and Richards equations were applied to describe the inactivation of anaerobic culture by heavy metals. According to these models, the values of methane production potential (mL) for a heavy metal concentration of 128 mg L(-1) were in the following order: Ni (44.82+/-0.67)>Cd (28.73+/-0.11)>Cr (15.52+/-1.63)>Zn (0.65+/-0.00). The IC(50) values, the metal concentrations that cause a 50% reduction in the cumulative methane production over a fixed period of exposure time (24h), for the individual heavy metals were found to be in the following order: Zn (most toxic; 7.5 mg L(-1))>Cr (27 mg L(-1))>Ni (35 mg L(-1)) approximately Cd (least toxic; 36 mg L(-1)).
                Bookmark

                Author and article information

                Journal
                ns
                Nova scientia
                Nova scientia
                Universidad de La Salle Bajío A. C., Coordinación de Investigación (León, Guanajuato, Mexico )
                2007-0705
                2021
                : 13
                : 27
                : 00008
                Affiliations
                [1] Chihuahua orgnameUniversidad La Salle Chihuahua Mexico
                [2] orgnameCentro de Investigación de Materiales Avanzados Mexico antonino.perez@ 123456cimav.edu.mx
                Article
                S2007-07052021000200108 S2007-0705(21)01302700108
                10.21640/ns.v13i27.2791
                bffd89a3-f059-4771-abb1-8087658b0760

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 20 July 2021
                : 06 January 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 30, Pages: 0
                Product

                SciELO Mexico

                Categories
                Ciencias naturales e ingenierías

                waste,biogás,BMP,sigmoidal,biodigestión,biometano,exponencial,Richards,Gompertz,biomasa,inóculo,residuo,biodigestor,biogas,biodigestion,exponential, biomethane,biomass,inoculum,biodigester

                Comments

                Comment on this article