Modeling pH and temperature effects on the anaerobic treatment of tequila vinasses
| Autor: | Hugo Oscar Méndez-Acosta, Eliseo Hernandez-Martinez, Hector Puebla, Jazael G. Moguel-Castañeda |
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| Rok vydání: | 2020 |
| Předmět: |
Work (thermodynamics)
General Chemical Engineering Sequencing batch reactor 02 engineering and technology 010501 environmental sciences 01 natural sciences Inorganic Chemistry Biogas Anaerobic treatment Process engineering Waste Management and Disposal 0105 earth and related environmental sciences Renewable Energy Sustainability and the Environment business.industry Organic Chemistry 021001 nanoscience & nanotechnology Pollution Anaerobic digestion Fuel Technology Model parameter Scientific method Loading rate Environmental science 0210 nano-technology business Biotechnology |
| Zdroj: | Journal of Chemical Technology & Biotechnology. 95:1953-1961 |
| ISSN: | 1097-4660 0268-2575 |
| Popis: | BACKGROUND: An unstructured mathematical model is proposed to evaluate the effect of key variables on the anaerobic digestion of tequila vinasses and to determine the operating conditions that improve biogas production Most of the models currently reported do not consider the simultaneous effects of pH and temperature on the process kinetics Instead, they only recognize the specific operational conditions under which the experiments were conducted Hence, this work presents a mathematical model that considers the effects of pH and temperature on methane production RESULTS: Experimental data were obtained from the anaerobic treatment of tequila vinasses conducted in a sequencing batch reactor, which was evaluated at two temperatures (32 and 38 °C) and two pH values (7 and 8) to validate the proposed model Parameter estimation was performed using the Levenberg–Marquardt algorithm yielding a simplified model with high determination coefficients (R2 > 0 99) Moreover, kinetic parameters estimated were consistent physically and statistically CONCLUSIONS: Numerical simulations provide the operating conditions under which methane production can be favored Therefore, the proposed model might be advantageous in predicting the maximum methane production rate and the maximum organic loading rate that could be used without risking the stability of an anaerobic digestion process © 2020 Society of Chemical Industry |
| Databáze: | OpenAIRE |
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