Two-stage anaerobic digestion of the organic fraction of municipal solid waste – Effects of process conditions during batch tests

Lavagnolo, Maria Cristina; Girotto, Francesca; Rafieenia, Razieh; Danieli, Luciano; Alibardi, Luca

doi:10.1016/j.renene.2018.03.039

Cited by 52 publications

(28 citation statements)

References 41 publications

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“…Despite their wide use, batch fermentative tests do not follow a specific guideline like other anaerobic biodegradability tests do (e.g., biochemical methane potential tests, BMP [22]), and previous research has presented remarkable differences in their set-ups. Assays are assessed using a broad pH range (4.5-9.0 [15,21]), with the optimum found at 5.5 [11,13,14]. In this matter, the most adopted methods of controlling pH during batch trials are the use of an initial buffer solution [6,[13][14][15] or the automatic addition of an alkaline solution [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…to avoid the presence of HCB [23][24][25][26][27][28][29]. Nevertheless, since in full scale digesters bacteria coexist in a wide range of species, and the fermentation of substrates into biohydrogen involves a wide consortium of microorganisms [30], the use of mixed cultures belonging to operative facilities is preferred by most authors [6,11,[13][14][15][16][17][18][19][20][21][31][32][33]. Moreover, using mixed-microorganism media is more functional and economically advantageous than using unique microbial populations.…”

Section: Introductionmentioning

confidence: 99%

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Biochemical Hydrogen Potential Tests Using Different Inocula

2019

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Four inocula collected from different operating facilities were tested in their hydrogenic performances by means of two biochemical hydrogen potential test set-ups using sucrose and food waste as substrates, with the aim of evaluating the influence of inoculum media in batch fermentative assays. The selected inocula were: activated sludge collected from the aerobic unit of a municipal wastewater treatment plant, digested sludge from an anaerobic reactor treating organic waste and cattle manure, digested sludge from an anaerobic reactor treating agroindustrial residues, and digested sludge from an anaerobic reactor of a municipal wastewater treatment plant. Test results, in terms of specific hydrogen production, hydrogen conversion efficiency, and volatile solids removal efficiency, were significantly dependent on the type of inoculum. Statistical analysis showed different results, indicating that findings were due to the different inocula used in the tests. In particular, assays performed with activated sludge showed the highest performances for both substrates and both experimental set-ups.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Biochemical Hydrogen Potential Tests Using Different Inocula

2019

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“…The abundance of organic waste in MSW ranges from 30 to 60% [1] and reports of lignocellulose content in OMSW vary between ~ 10 and 60% [10]. Typically, OMSW used for research purposes is obtained through manual sampling and sorting of MSW from local establishments [12][13][14] or acquired from nearby waste treatment plants [15][16][17][18][19]. The composition of OMSW from these sources varies significantly depending on the establishment or stage of interception and is therefore difficult to reproduce, limiting comparability between studies.…”

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confidence: 99%

Robust microorganisms for biofuel and chemical production from municipal solid waste

et al. 2020

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Background: Worldwide 3.4 billion tonnes of municipal solid waste (MSW) will be produced annually by 2050, however, current approaches to MSW management predominantly involve unsustainable practices like landfilling and incineration. The organic fraction of MSW (OMSW) typically comprises ~ 50% lignocellulose-rich material but is underexplored as a biomanufacturing feedstock due to its highly inconsistent and heterogeneous composition. This study sought to overcome the limitations associated with studying MSW-derived feedstocks by using OMSW produced from a realistic and reproducible MSW mixture on a commercial autoclave system. The resulting OMSW fibre was enzymatically hydrolysed and used to screen diverse microorganisms of biotechnological interest to identify robust species capable of fermenting this complex feedstock. Results:The autoclave pre-treated OMSW fibre contained a polysaccharide fraction comprising 38% cellulose and 4% hemicellulose. Enzymatic hydrolysate of OMSW fibre was high in d-glucose (5.5% w/v) and d-xylose (1.8%w/v) but deficient in nitrogen and phosphate. Although relatively low levels of levulinic acid (30 mM) and vanillin (2 mM) were detected and furfural and 5-hydroxymethylfurfural were absent, the hydrolysate contained an abundance of potentially toxic metals (0.6% w/v). Hydrolysate supplemented with 1% yeast extract to alleviate nutrient limitation was used in a substrate-oriented shake-flask screen with eight biotechnologically useful microorganisms (Clostridium saccharoperbutylacetonicum, Escherichia coli, Geobacillus thermoglucosidasius, Pseudomonas putida, Rhodococcus opacus, Saccharomyces cerevisiae, Schizosaccharomyces pombe and Zymomonas mobilis). Each species' growth and productivity were characterised and three species were identified that robustly and efficiently fermented OMSW fibre hydrolysate without significant substrate inhibition: Z. mobilis, S. cerevisiae and R. opacus, respectively produced product to 69%, 70% and 72% of the maximum theoretical fermentation yield and could theoretically produce 136 kg and 139 kg of ethanol and 91 kg of triacylglycerol (TAG) per tonne of OMSW. Conclusions: Developing an integrated biorefinery around MSW has the potential to significantly alleviate the environmental burden of current waste management practices. Substrate-oriented screening of a representative and reproducible OMSW-derived fibre identified microorganisms intrinsically suited to growth on OMSW hydrolysates. These species are promising candidates for developing an MSW biorefining platform and provide a foundation for future studies aiming to valorise this underexplored feedstock. © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third part...

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“…The multistage AD processes are used to improve digestion by having separate reactors for the AD different stages, providing flexibility to optimize each reaction to increase the process performances and energy recovery. Several research works have directed their interest to the two‐stage anaerobic digestion (TSAD) process based on different feeding substrates, and this topic is increasing in the scientific literature . A TSAD process allows a more flexible operation and an energy yield in the range of 20% to 30% higher than a one‐step AD, through a separated stages, acidogenesis with H 2 production and methanogenesis with CH 4 production, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Several research works have directed their interest to the two-stage anaerobic digestion (TSAD) process based on different feeding substrates, and this topic is increasing in the scientific literature. [3][4][5] A TSAD process allows a more flexible operation and an energy yield in the range of 20% to 30% higher than a one-step AD, through a separated stages, acidogenesis with H 2 production and methanogenesis with CH 4 production, respectively.…”

Section: Introductionmentioning

confidence: 99%

Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production

Gurubel

Sánchez²,

Coronado-Mendoza

et al. 2019

Optim Control Appl Methods

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Summary This paper proposes an inverse optimal neural control method of a nonlinear anaerobic bioprocesses model for simultaneous hydrogen and methane production in presence of disturbances. Based on the fundamental properties of the system, a passivity approach is designed such that asymptotic stability is guaranteed. A recurrent high‐order neural network for unknown nonlinear systems in presence of unknown bounded disturbances and parameter uncertainties is proposed to identify nonmeasurable state variables of the system, which are directly related to biofuels production. Optimal control laws based on the neural model are proposed so that the passivation of the entire plant is preserved. The neural control strategy performance for trajectory tracking in presence of disturbances is proven. Results via simulation show the optimal control methodology efficiency to stabilize the H2 and CH4 productions along desired trajectories even in presence of disturbances.

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Two-stage anaerobic digestion of the organic fraction of municipal solid waste – Effects of process conditions during batch tests

Cited by 52 publications

References 41 publications

Biochemical Hydrogen Potential Tests Using Different Inocula

Biochemical Hydrogen Potential Tests Using Different Inocula

Robust microorganisms for biofuel and chemical production from municipal solid waste

Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production

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