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Research Article

Method to obtain parameters k2, k3 for dilution rate observer in AM2 model of the anaerobic digestion process in a batch reactor

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Pages 3110-3123 | Received 13 Jul 2023, Accepted 23 Jan 2024, Published online: 15 Feb 2024
 

ABSTRACT

Anaerobic digestion (AD) is a process of biochemical decomposition by anaerobic bacteria. Organic solid waste, subjected to anaerobic digestion, produces organic fertilizer and biogas, composed of methane, carbon dioxide, and other gases. The AM2 model describes the AD system and is the most widely used model for dynamic behavior analysis and control of AD processes. One of the most critical variables for system analysis is the concentration of volatile fatty acids (VFA). The behavior of the concentration of VFA depends on the dilution rate. This, in turn, depends on the performance parameters of producing and consuming VFA (k2 and k3). This paper presents a deterministic method to calculate the k2 and k3 parameters, from the dilution rate dynamics and Olson method for indirect validation of the parameters based on the direct validation of the concentration of VFA. Model results for VFA concentration showed an error of <0.4%. An error of <1.98% was found between the theoretical model and the experimental data. Overall, a global error of <2.37% gives a reliability to the proposed method to determine k2 and k3.

Acknowledgements

Authors acknowledge the financial support provided by Dirección General de Asuntos del Personal. Académico (DGAPA), Universidad Nacional Autónoma de México (UNAM), México under PAPIIT Project No. IA104023.

Authors acknowledge the financial support provided by Ministerio de Ciencia y Tecnología de Colombia (MINCIENCIAS), Through Bicentenary Scholarships of the project called “Training of High-level human capital in Doctorate for regional development”.

Authors acknowledge the collaboration of the Doctorate in Engineering of the District University (Universidad Distrital Francisco José de Caldas).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15567036.2024.2311326

Additional information

Funding

The work was supported by the Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México [IA104023]; Ministerio de ciencia, técnologia e innovación [Acuerdo 05 de 2020].

Notes on contributors

Orlando Harker-Sanchez

Orlando Harker-Sanchez received his degree in Electronic Engineering from Universidad Distrital Francisco José de Caldas, Colombia, and holds a Master’s degree from Universidad de La Salle, Bogotá. He is currently pursuing a Ph.D. in Engineering with a specialization in Electrical and Electronic Engineering from Universidad Distrital. Orlando is also a lecturer at Universidad Distrital, where he teaches control systems and industrial instrumentation. He is an active researcher in the LIFAE group in Renewable Energies.

Adolfo A. Jaramillo

Adolfo A. Jaramillo Matta received his degree in Electronic Engineering and a Master’s degree from the Universidad del Valle in Cali, Colombia. Later, he graduated with a Master’s and a PhD in Electronic, Automatic, and Telecommunications Engineering from the Rovira i Virgili University in Spain. He is currently a professor in the field of Control Systems at the Universidad Distrital. His research interests mainly include mathematical modeling of dynamic systems, automatic control systems, alternative energy sources, and power quality.

Dulce María Arias

Dulce María Arias is a Biochemical Engineer who specializes in environmental biochemistry. She completed her studies at the National Technological Institute of Mexico and obtained her PhD in Environmental Engineering from the Polytechnical University of Catalonia (UPC), where she was a member of the Environmental Engineering and Microbiology group (GEMMA). Currently, she works as a full professor and researcher at the Institute for Renewable Energies-UNAM. Her current research focuses on water and wastewater management, waste recovery and valorization, microbial fuel cells, and microalgae/cyanobacteria biotechnology for bioenergy and bioproducts production.