Anaerobic Digestion Process Research Articles

The effects of different pretreatment technologies on microbial community in anaerobic digestion process: A systematic review

The effects of different pretreatment technologies on microbial community in anaerobic digestion process: A systematic review

Hyperspectral Imaging Technique to Characterize Digestate and Visualize Physical Impurities in Anaerobically Digested Biowaste.

Methods used to monitor anaerobic digestion (AD) indicators are commonly based on wet chemical analyses, which consume time and materials. In addition, physical disturbances, such as floating granules (FGs), must be monitored manually. In this study, we present an eco-friendly, high-throughput methodology that uses near-infrared hyperspectral imaging (NIR-HSI) to build a machine-learning model for characterizing the chemical composition of the digestate and a target detection algorithm for identifying FGs. A total of 732 digestate samples were used to develop and validate a model for calculating total nitrogen (TN), total organic carbon (TOC), total ammonia nitrogen (TAN), and chemical oxygen demand (COD), which are the chemical indicators of responses to disturbances in the AD process. Among these parameters, good model performance was obtained using the dried digestates data set, where the coefficient of determination (R2test) and the root-mean-square error (RMSEtest) were 0.82 and 1090 mg/L for TOC, and 0.86 and 690 mg/L for TN, respectively. Furthermore, the unique spectral features of the FGs in reactors with a lipid-rich substrate meant that they could also be identified by the HSI system. Based on these findings, developing NIR-HSI solutions to monitor the digestate properties in AD plants has great potential for industrial application.

A comparative assessment of sewage sludge valorization via anaerobic digestion and supercritical water gasification: A techno-economic case study in Norway

This study compared the performance of supercritical water gasification (SCWG) to conventional anaerobic digestion (AD) for treating sewage sludge from a wastewater treatment plant (WWTP). Based on plant data from a WWTP in Norway, kinetic-based process models have been developed in Aspen Plus® to investigate the energy and economic feasibility of AD and SCWG for sewage sludge (SS) treatment. The findings showed that low ambient temperatures significantly reduced the energy efficiency of the AD, while their effect on the SCWG process was negligible. At the average ambient temperature of 7 °C and SS concentration of 7 wt%, AD and SCWG achieved thermal energy self-sufficiency (TES) of 0.76 and 0.63, respectively. Under these conditions, the AD and SCWG had energy conversion efficiencies (η) of 25.8% and 46.6%, respectively. However, increasing the SS content in the SCWG to 15 wt% improved the TES to 1.22 and η to 73.2%, making it a more attractive alternative to the AD.At 7 wt% SS concentration, the AD and SCWG processes required an investment cost of $ 4.08 million and $ 6.83 million, respectively. Under the study assumptions, neither AD nor SCWG proved profitable, revealing negative net present values (NPV) and operating costs of $0.96 million and $0.92 million, respectively.

Integrating microbial electrochemical cell in anaerobic digestion of vegetable wastes to enhance biogas production

Anaerobic digestion is a highly promising approach to manage agricultural/food wastes that reduces pollution and produces energy effectively. In this study, we investigate the incorporation of a microbial electrolysis cell (MEC) in anaerobic digestion process with the introduction of two graphite felts to enhance biogas production with minimal electrical energy input. The high amount of biogas (1890 ± 113.1 mL) was produced from the 1:2 v/v mixture of vegetable wastes in water and 0.8 V supplemented at 27 °C. Biogas could also be effectively produced in MEC at 18 °C (632 ± 14.8 mL), which is more than double in comparison with biogas produced without voltage (303 ± 27.5 mL). Maximum COD reduction was found in MEC (70.84 ± 5.54 %) than in control (20.35 ± 4.53 %). Three Bacillus strains and one Exiguobacterium strain were isolated from the MEC sludge. Electricity supplemented anaerobic digestion can produce higher amount of biogas and improve waste degradation by transforming waste into energy.

Optimization of the anaerobic digestion process and the metabolic pathway of methanogenesis of Jerusalem artichoke straw with the mixed addition of iron filings and biochar

This study explored the feasibility of the mixed addition of iron filings and biochar in the anaerobic digestion of Jerusalem artichoke straw (JAS), using iron filings and biochar as mixed additives for mid-temperature batch anaerobic digestion experiments, and applied response surface methodology to investigate the interactive effects of different ratios of iron filings and biochar (FE/BC), solid content, and initial pH on the cumulative methane production from JAS. The results showed that the optimal conditions for methane production were an FE/BC of 2.45:7.55, an initial pH of 7.59, and a solid content of 8.80 %. Under these conditions, the cumulative methane production was 278.11 mL g−1 volatile solid (VS) contents, which was very close to the predicted value (286.42 mL g−1 VS), with a relative error of less than 5 %, indicating the effectiveness of the model. The optimized conditions with mixed addition (HB) exhibited good synergistic promotion, increasing cumulative methane production by 48.69 % compared to the control without additives and by 22.29 % and 29.57 % compared to the single addition of iron filings and biochar, respectively. Moreover, the HB treatment under optimized conditions achieved good economic benefits. Metagenomic analysis showed that the relative abundances of bacterial taxa including Fermentimonas, DMER64, Bacteroidetes_VadinHA17, unclassified Synergistaceae, Clostridium, Ruminiclostridium, and unclassified Anaerolineaceae were higher in HB samples, and Methanothrix was also enriched. Methane metabolism pathway analysis indicated that the anaerobic digestion of JAS with the mixed addition of iron filings and biochar enhanced the acetoclastic methane production pathway, thereby increasing methane production.

Bioinspired poly(vinyl alcohol) films with tunable adhesion and self-healing for biodegradable electronics and beyond

AbstractPolymers have attracted attention for their use in enabling biodegradable electronics. However, many polymers suitable as substrates either have no adhesion or suffer from weak and unstable adhesion. Addressing this challenge, we report a simple method to achieve tunable adhesion on various surfaces for wide applications. We achieve this by combining poly(vinyl alcohol) (P), dopamine (DA) and citric acid (CA) to produce modified poly(vinyl alcohol) adhesive films. These films are derived from bio-based constituents through an environmentally benign, easily reproducible and scalable fabrication process. They offer strong adhesion to various surfaces, such as stainless steel (138–191 kPa) and Polytetrafluoroethylene (PTFE) (67–93 kPa) and facilitate easy detachment with water. Notably, the modified films showed a better degradation compared to pristine P films under anaerobic conditions. The extent of degradation was characterized both quantitatively and qualitatively. The biokinetic parameters of anaerobic digestion process were estimated using three different kinetic models. It is anticipated that DA and CA molecules penetrate the interplanar distance of P chains as supported by powder X-ray diffraction (XRD) studies, thus, accelerating the degradation process. Additionally, the inclusion of CA enhanced the stability of DA molecules against oxidation, increased the extent of H-bonding and acted as a plasticizer. The addition of DA and CA bestowed the films with self-healing property due to the presence of multiple H-bonds. Tensile experiments revealed that the strength of self-healed samples approached that of pristine samples. The findings of this study hold promise for the development of innovative, biodegradable poly(vinyl alcohol)-based self-healing adhesive films with potential applications across various domains like smart packaging, soft robotics, on-skin electronic tattoos and self-healing electronics.

Distribution of microplastics and phthalic acid esters during dry anaerobic digestion of food waste and potential microbial degradation analysis

Food waste (FW) and its biogas residue were considered as sources of terrestrial microplastics (MPs) and phthalic acid esters (PAEs) contamination. However, there was a lack of research and understanding of the MPs and PAEs pollution problem in FW dry anaerobic digestion process (DADP). The MPs and PAEs in three stages of the DADP with the largest monomer disposal scale in China were identified. At the biogas residue extrusion stage, MPs abundance and PAEs concentration reached the highest values, which were 3.63 ± 0.45 × 103 N·kg-1 and 3.62 ± 0.72 mg·kg-1, respectively. Furthermore, there was a significant positive correlation between MPs and PAEs throughout the process (p < 0.05). Although bacteria and fungi with plastic degradation potential were present in all stages, the contamination problem of MPs and PAEs cannot be completely solved through DADP. This study provides a scientific basis for preventing and controlling the pollution of MPs and PAEs.

Impact of Design and Mixing Strategies on Biogas Production in Anaerobic Digesters

Anaerobic digestion (AD) is a biological process that breaks down organic matter in the absence of oxygen, producing biogas and nutrient-rich digestate. Various reactor designs and mixing strategies are well-established in AD processes, each with their own advantages and benefits. The presented study summarizes and investigates the state of the art of AD in domestic wastewater treatment plants (WWTPs) in an Austrian alpine region, with a primary focus on finding similarities among the most efficient plants regarding digester design, mixing approaches, and biogas production. By combining surveys and detailed field studies in cooperation with 34 WWTPs, the study provides a comprehensive overview of common AD practices, reactor shapes, and inherent mixing methods, highlighting their potential regarding energetic efficiency and biogas production. The results of the survey reveal qualitative trends in efficient AD design alongside detailed quantitative data derived from the supervised in-field optimization studies. Notably, one of the studies demonstrated energetic savings of 52% with no decrease in biogas production, achieved by transitioning from gas injection to mechanical agitation. Redundant impeller-based overmixing was also practically investigated and demonstrated in another field study. After optimization, the adaptations also resulted in energy savings of 30%, still proving sufficient substrate mixing with biomethane potential analysis. In conclusion, this research emphasizes the economic and environmental importance of energy-refined practices and optimized processes while highlighting the sustainability of AD, particularly for large domestic WWTPs but also for different comparable applications.

Biohythane production via anaerobic digestion process: fundamentals, scale-up challenges, and techno-economic and environmental aspects.

Biohythane, a balanced mixture comprising bioH2 (biohydrogen) and bioCH4 (biomethane) produced through anaerobic digestion, is gaining recognition as a promising energy source for the future. This article provides a comprehensive overview of biohythane production, covering production mechanisms, microbial diversity, and process parameters. It also explores different feedstock options, bioreactor designs, and scalability challenges, along with techno-economic and environmental assessments. Additionally, the article discusses the integration of biohythane into waste management systems and examines future prospects for enhancing production efficiency and applicability. This review serves as a valuable resource for researchers, engineers, and policymakers interested in advancing biohythane production as a sustainable and renewable energy solution.

Fate of intracellular and extracellular antibiotic resistance genes in sewage sludge by full-scale anaerobic digestion

Storage tank (ST) is a promising strategy for solid-liquid separation following anaerobic digestion (AD). However, little is known regarding the effects of ST on antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), and microbial communities. Therefore, this study first investigated eight typical ARGs (sul1, sul2, tetW, tetA, tetO, tetX, ermF, and ermB) and three MGEs (int1, int2, and tnpA) during full-scale AD of sludge and the liquid and biosolids phases of ST. Following that, intracellular ARGs (iARGs), extracellular polymeric substances (EPS)-associated ARGs, and cell-free ARGs removal were quantified in AD process, which is largely unknown for full-scale AD of sludge. The qPCR results showed that both AD and ST significantly removed ARGs, with ST biosolids showing the highest removal efficiency for the total measured relative (82.27 ± 2.09 %) and absolute (92.38 ± 0.89 %) abundance of ARGs compared to the raw sludge. Proteobacteria, Bacteroidota, Firmicutes and Campilobacterota were the main potential ARGs hosts in the sludge. Moreover, the results of different ARGs fractions showed that the total relative and absolute abundance of iARGs decreased by 90.12 ± 0.83 % and 79.89 ± 1.41 %, respectively, following AD. The same trend was observed for the abundance of EPS-associated ARGs, while those of cell-free ARGs increased after AD. These results underscore the risk of extracellular ARGs and provided new insights on extracellular ARGs dissemination evaluation.

Biochar accelerates methane production efficiency from wastewater: Some viewpoints considering direct interspecies electron transfer

The low pH of Maotai-flavor Baijiu wastewater (MFBW) adversely affects its anaerobic digestion (AD) performance, resulting in low AD efficiency. Here, coconut shell was used to produce biochar. The characteristics of biochar were regulated through acid, alkali, and magnetic modification, respectively. Biochar and modified biochars were applied to assist the AD of MFBW. The results showed that biochar could significantly increase methane yield by 220.8 %–241.7 % with the corresponding soluble chemical oxygen demand (sCOD) degradation increasing by 52.3 %–57.5 % (p < 0.05). Joint modification could significantly enhance the electron donating capacity from 0.0042 to 0.0095 mmol e−1/g (p < 0.05). The combined modification with magnetic alkali had the best stimulating effect on the AD process, which might be related to the conductive particles (Fe3O4) formed during magnetization processes. The modified biochar featured a high degree of surface roughness, a relatively large aperture, and strong electron donating ability, all of which were beneficial to the colonization and microbial growth. Supplementation with biochar resulted in the enrichment of Proteobacteria, Firmicutes, and Actinobacteria, especially for Syntrophomonas (rising from 0.013 % to 6.74 %–10.93 % of relative abundance). These microorganisms are related to the hydrolysis, acidification, and extracellular electron transfer. The enrichment of electroactive microorganism is a prerequisite for improving the direct interspecies electron transfer pathway. This study provides theoretical support for efficient MFBW treatment.

Comparison of mesophilic and thermophilic anaerobic digestion of food waste: Focusing on methanogenic performance and pathogens removal

Food waste (FW) is a valuable and sustainable resource for anaerobic digestion (AD). However, mesophilic AD, commonly used, poses risks associated with pathogenic microorganisms, potentially limiting the safe utilization of digestion by-products. This study aimed to evaluate and compare methane production efficiencies and pathogen reduction capabilities between mesophilic and thermophilic AD processes. Methane production was assessed in batch and continuous operations under thermophilic conditions, resulting in methane yields of 380 and 360 mL/g VS, representing increases of 5.56 % and 22.44 % respectively compared to mesophilic conditions. Pathogen removal efficiency analysis showed that thermophilic AD achieved Escherichia coli elimination rates between 98.9 % and 99.9 %, with higher removal rates for Salmonella ranging from 77.9 % to 99.8 % compared to mesophilic processing. Overall, results from batch and continuous experiments demonstrate that thermophilic AD not only enhances methane production but also significantly improves pathogens reduction, offering a more effective approach for managing FW in AD systems. The findings of this study enhance the scientific understanding of anaerobic digestion technology in food waste treatment applications and provide crucial technical support and decision-making guidance for environmental management and renewable energy production.

Fe oxides nano-modified pumice enhances hydrogenotrophic methanogenesis in anaerobic digestion: Performance and mechanism of microbial community

Anaerobic digestion (AD), as an eco-friendly biological process, shows potential for the decomposition of leachate produced by waste incineration power plants. In this study, the effects of Fe oxides nano-modified pumice (FNP) were investigated on the fresh leachate AD process. Firstly, a simple hydrothermal method was used to prepare FNP, then introduced into the UASB reactor to evaluate its AD efficiency. Results showed that the inclusion of FNP could shorten the lag phase by 10 days compared to the control group. Furthermore, cumulative methane production in the FNP group was enhanced by 20.11%. Mechanistic studies suggested that hydrogenotrophic methanogenesis in the FNP group was more pronounced due to the influence of key enzymes (i.e., dehydrogenase and coenzyme F420). Microbial community analysis demonstrated that FNP could enhance the abundance of Methanosarcina, Proteobacteria, Sytrophomonas, and Limnobacter, which might elevate enzyme activity involved in methane production. These findings suggest that FNP might mediate interspecies electron transfer among these microorganisms, which is essential for efficient leachate treatment.

Utilization of citrus, date, and jujube substrates for anaerobic digestion processes

AbstractThis research explores the potential for generating biogas and clean energy by processing organic waste, a process that can become a sustainable solution to Syria's energy needs. Focusing on agricultural residues generated from citrus fruit orange, date, and jujube cultivation in Syria, this study evaluates the potential for anaerobic digestion of these residues for biogas production. It highlights the influence of substrate composition and the optimization of fermentation processes on biogas and methane production. The study focuses on evaluating the anaerobic digestion process by examining various dosages ranging from 20% to 50% dry matter for citrus orange waste, and different types of substrate with a fixed ratio of 20% substrate dry matter. It specifically discusses the factors influencing the inhibitory effect of anaerobic digestion, giving particular consideration to orange waste, a significant byproduct of the citrus industry. The biogas produced maintained a stable methane content when a citrus‐to‐inoculum ratio of 30:70 was used. Jujube waste, characterized by a composition rich in cellulose and hemicellulose, exhibited a higher potential for biogas and methane generation among the fruit waste investigated, particularly when combined with the inoculum in a 20:80 ratio. The research findings underscore the potential of using Syrian agricultural residues, including orange citrus peel, date, and jujube fruit, for the production of biogas through anaerobic digestion.

Crow Search Algorithm for Modelling an Anaerobic Digestion Process: Algorithm Parameter Influence

Corn steep liquor is a waste product from the process of treating corn grain for starch extraction. It is used as a substrate in anaerobic digestion with simultaneous hydrogen and methane production in a cascade of two anaerobic bioreactors. For process research and optimisation, adequate mathematical models are required. So, the authors aim to present a high-quality model of the corn steep liquor process for the sequential production of H2 and CH4. This paper proposes a technique for identifying the best mathematical model of the process using the metaheuristics crow search algorithm (CSA). The CSA was applied for the first time to mathematical modelling of the considered two-stage anaerobic digestion process, using real experimental data. Based on the analysis of the numerical data from the model parameter identification procedures, the influence of the main CSA parameters—the flight length, fl, and the awareness probability, AP—was investigated. Applying classical statistical tests and an innovative approach, InterCriteria Analysis, recommendations about the optimal CSA parameter tuning were proposed. The best CSA algorithm performance was achieved for the AP = 0.05, fl = 3.0, followed by AP = 0.10, fl = 2.5, and AP = 0.15, fl = 3.0. The optimal tuning of the CSA parameters resulted in a 29% improvement in solution accuracy. As a result, a mathematical model of the considered two-stage anaerobic digestion process with a high degree of accuracy was developed.

H2S mitigation for biogas upgrading in a full-scale anaerobic digestion process by using artificial neural network modeling

Biogas production by anaerobic digestion (AD) has emerged as a prominent bio-renewable energy source in recent years. However, the process also produces undesirable by-products, including H2S, thereby negatively impacting the biogas quality. This study focused on mitigating H2S in a full-scale AD located at a wastewater treatment plant (WWTP) by controlling the internal operational parameters by using an artificial neural network (ANN) model. Data from 54 days of AD operation were used to train and validate a structured ANN with a 5-3-1 topology. To minimize the H2S content, optimum values for dry solid (DS), volatile solid (VS), pH, temperature, and primary sludge fraction (PS) were determined to be 6.2 %, 63 %, 7.7, 35.6 °C, and 67.6 %, respectively, using the particle swarm optimization (PSO) algorithm. This optimization indicated a 49 % reduction in the average H2S concentration, from 6117 ppm to 3107 ppm. The analysis of relative importance (RI) showed that the pH (RI = −29.5) and PS (RI = −28.7) were the most critical factors affecting biogas quality. Additionally, several solutions derived from the optimization results were practically implemented in the Qom WWTP to achieve optimal conditions, and the outcomes were discussed.

A new concept for bioenergy yield in anaerobic digestion process: Highlighting current yield challenges

The development of sustainable energy sources including biogas produced from urban and industrial wastes has received much attention over the past few years. Given that biogas can be an alternative to fossil fuels before long, its yield, representing the value of energy production from the substrate, has been of utmost importance. With reference to the current definition, biogas yield simply depends on the maximum biogas produced per unit mass of the substrate. In this line, anaerobic digestion (AD) is a time-consuming process, whose duration affects the biogas production yield as well as the maximum biogas production rate. Against this background, the present study dedicated focus on the time factor to present a new definition of biogas/methane (CH4) production yield in AD. In light of this, the time entailed for the AD process (T95%), including the lag phase time (Tlag), the time in proportion to the logarithmic production of biogas (Tlog), and the biogas stabilization time (reaching 95 % of the maximum biogas production rate, T→95%) were taken into account. In accordance with previous research, four modes, viz., (i) equal maximum biogas-different time, (ii) different maximum biogas-equal time, (iii) different maximum biogas-different time (receding yield) and (iv) different biogas maximum-different time (approaching yield) were assessed. For this purpose, the kinetic models, namely, modified Gompertz (MG) and logistic function (LF), were recruited to determine the maximum biogas production rate (Rm) and the lag phase time (λ). Among the mentioned modes, the yield difference between the samples investigated according to the current and time-based yields was 24 % on average, and reached 85 % in the first and third modes. Evaluating the data from 32 studies, using the Python programming language, correspondingly revealed that the correlation coefficient between the AD process time (T95%) and the current and time-based yields augmented from 7 % to 51 %. This demonstrated the impact of the time factor on the biogas yield. Based on the MG model, the significance level of the Rm parameter increased from 52 % to 94 %, highlighting the value of the logarithmic phase time of biogas in the AD reactor.

Optimization of microwave intensified slaughterhouse sludge pretreatment method to enhance anaerobic digestion process by response surface methodology

Optimization of microwave intensified slaughterhouse sludge pretreatment method to enhance anaerobic digestion process by response surface methodology

In-situ biomethanation of high CO content syngas in agricultural biogas digesters

To meet global energy demands, syngas with high CO content (>50 %) generated from hydrothermal gasification of agricultural residues or wood, could be utilized as a co-substrate in anaerobic digestion (AD) processes for conversion into CH4. This study investigated in-situ biomethanation using synthetic gas (55 % CO, 35 % H2, and 15 % CO2), mimicking wood gasification syngas, during AD of cow manure, the most abundant agricultural waste. A continuously stirred tank reactor (CSTR) served as a control and was fed only cow manure, while the other two reactors were fed syngas with or without gas recirculation at different gas loading rates (GLRs).In-situ syngas injection in AD of cow manure at GLRs ≤0.3 L LRV−1 d−1 improved overall CH4 productivity compared to the control (0.35 ± 0.1 vs. 0.29 ± 0.1 L LRV−1 d−1), though the CH4 content (45 ± 5 %) was lower than the control reactor (62 ± 3 %), indicating a need for biogas upgrading. Gas recirculation enabled higher CO and H2 conversion efficiencies of 99–100 % but considerably decreased CH4 productivity from cow manure. In-situ biomethanation enhanced the relative abundance of hydrogenotrophic methanogens, highlighting their role in syngas conversion to CH4.

Thermal pretreatment of swine waste to improve biodegradability in the anaerobic digestion process. Effect on the physicochemical characteristics of the substrate

In anaerobic digestion (AD) processes, hydrolysis is considered the limiting stage in the degradation of solid wastes. Such is the case of swine manure digestion, which due to the complex physical and chemical structure of the lignocellulosic material that composes it, an energy wastage has been observed in terms of methane production. Among the strategies used to improve the hydrolysis stage, it is possible to mention the thermal pretreatment of the substrate, which can significantly improve the biodegradability of the material used as raw material in AD. In this study, the effect of temperature (60–177 °C) and exposure time (30–60 min) on the physicochemical properties of the substrate such as pH, volatile organic acids (VOAs), total inorganic carbonates (TIC), volatile solids (SV), total solids (ST), soluble chemical oxygen demand (CODs) and biochemical methane potential (BMP) were determined. The temperature factor had a higher level of significance compared to the exposure time on the parameters of pH, VOAs, and TIC before and after the biogas generation process. However, the effect was different for CODs, where time was more significant than treatment temperature. As for the parameters of total and volatile solids content (ST and SV), the factors evaluated (temperature and exposure time) did not show significant effect. Also, the pretreatments showed an increase in biochemical methane potential, outperforming the untreated substrate by up to 70.4 % (121.74vs.71.44 mLCH4 gVS-1). The best combination of heating temperature and operating time was 120 °C and 45 min, which promoted the hydrolysis step that was reflected in an increase in CODs and improvement in methane production by 42 % over the untreated substrate