Anaerobic Digestion Advances in Biomass and Waste Treatment

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biochemical Engineering".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1939

Special Issue Editors

Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000 Maribor, Slovenia
Interests: anaerobic digestion; microbial fuel cell; forward osmosis; mathematical modeling and optimization; numerical simulation; waste management; sustainable aviation fuels; nanotechnology; biodegradable plastics

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Guest Editor
Faculty of Mechanical Engineering, University of Maribor, 2000 Maribor, Slovenia
Interests: waste to energy; anaerobic digestion; pyrolysis; alternative fuels; internal combustion engines; mathematical modeling and optimization; numerical simulation

Special Issue Information

Dear Colleagues,

Because the world's energy resources are limited and the waste representing an environmental problem contains energy-rich compounds and nutrients, increasing attention is being paid to research into technologies for converting various waste to energy. Considering technological, economic, environmental and social aspects, anaerobic digestion (AD) is a promising technology to reduce a large amount of various types of waste and produce renewable energy and other valuable products. In this context, there is a need for improvements in the AD process in (i) biogas plants in order to produce high-quality biogas, liquid and solid digestate, as well as (ii) microbial fuel cells in order to increase the amount of produced electricity.

This Special Issue of Biochemical Engineering will focus on original research and comprehensive reviews, dealing with the experiments, numerical simulation and optimization of the AD process in biogas plants and microbial fuel cells by considering technological, economic, environmental and social aspects.

The topics of interest for this Special Issue include, but are not limited to, the following:

  • Various biomass and waste pre-treatment methods: mechanical, chemical, biological, etc.;
  • Improvements in the AD process in biogas plants: experimental and numerical investigations, modeling of the AD process (mechanistically inspired models, empirical models, phenomenological models) and optimization of the AD process (deterministic and stochastic methods);
  • Improvements in microbial fuel cell systems: manufacturing of various MFC systems (3D printing), experimental and numerical investigations of various MFC systems (one chamber, two chambers, various types of electrodes and membranes), modeling of processes (AD process, etc.) in microbial fuel cells (mechanistically inspired models, empirical models, phenomenological models), optimization of microbial fuel cell systems (deterministic and stochastic methods);
  • AD products (biogas, liquid digestate, solid digestate) treatments and utilization (nutrient recovery from digestate, heavy metal removal from digestate);
  • Optimization of biogas plants and microbial fuel cells with respect to technical, economic, environmental and social aspects.

Dr. Tina Kegl
Prof. Dr. Breda Kegl
Guest Editors

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Keywords

  • waste management
  • biomass and waste pre-treatments
  • anaerobic digestion
  • modeling and optimization
  • biogas plants
  • biogas production
  • digestate treatment
  • microbial fuel cells
  • electricity production

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Published Papers (1 paper)

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Research

22 pages, 4765 KiB  
Article
Mathematical Model-Based Optimization of Trace Metal Dosage in Anaerobic Batch Bioreactors
by Tina Kegl, Balasubramanian Paramasivan and Bikash Chandra Maharaj
Bioengineering 2025, 12(2), 117; https://doi.org/10.3390/bioengineering12020117 - 26 Jan 2025
Cited by 1 | Viewed by 1021
Abstract
Anaerobic digestion (AD) is a promising and yet a complex waste-to-energy technology. To optimize such a process, precise modeling is essential. Developing complex, mechanistically inspired AD models can result in an overwhelming number of parameters that require calibration. This study presents a novel [...] Read more.
Anaerobic digestion (AD) is a promising and yet a complex waste-to-energy technology. To optimize such a process, precise modeling is essential. Developing complex, mechanistically inspired AD models can result in an overwhelming number of parameters that require calibration. This study presents a novel approach that considers the role of trace metals (Ca, K, Mg, Na, Co, Cr, Cu, Fe, Ni, Pb, and Zn) in the modeling, numerical simulation, and optimization of the AD process in a batch bioreactor. In this context, BioModel is enhanced by incorporating the influence of metal activities on chemical, biochemical, and physicochemical processes. Trace metal-related parameters are also included in the calibration of all model parameters. The model’s reliability is rigorously validated by comparing simulation results with experimental data. The study reveals that perturbations of 5% in model parameter values significantly increase the discrepancy between simulated and experimental results up to threefold. Additionally, the study highlights how precise optimization of metal additives can enhance both the quantity and quality of biogas production. The optimal concentrations of trace metals increased biogas and CH4 production by 5.4% and 13.5%, respectively, while H2, H2S, and NH3 decreased by 28.2%, 43.6%, and 42.5%, respectively. Full article
(This article belongs to the Special Issue Anaerobic Digestion Advances in Biomass and Waste Treatment)
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