Hydrogen and methane production in a two-stage anaerobic digestion system by co-digestion of food waste, sewage sludge and glycerol

Silva, Fabrícia M.S.; Mahler, Cláudio Fernando; Oliveira, Luciano Basto; Bassin, João Paulo

doi:10.1016/j.wasman.2018.02.039

Cited by 134 publications

(36 citation statements)

References 64 publications

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“…The maximum energy yields of 14.5 and 12.7 kJ/g-VS added were obtained from batch fermentation of a co-digestion of Napier grass with food waste and Napier silage with food waste, respectively. These values are comparable to those of the studies of Prapinagsorn et al [22], González et al [23] and Silva et al [24]. In contrast, they are lower than that reported by Schievano et al [25].…”

Section: Energy Production and A Comparison With The Literature Valuessupporting

confidence: 86%

“…The maximum energy yield (11.9 kJ/g-VS added ) obtained at the optimum OLR of 1.5 g-VS/L•d was lower than that reported in the studies of Prapinagsorn et al [22], González et al [23] and Silva et al [24]. However, it was higher than reported by Arreola-Vargas et al [26], Nualsri et al [27] and Prapinagsorn et al [6] (Table 4).…”

Section: Energy Production and A Comparison With The Literature Valuesmentioning

confidence: 53%

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Co-Digestion of Napier Grass with Food Waste and Napier Silage with Food Waste for Methane Production

2018

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Enhancement of methane production by co-digestion of Napier grass and Napier silage with food waste was investigated in batch and repeated batch modes. First, the ratios of Napier grass to food waste and Napier silage to food waste were varied at different g-volatile solids (VS) to g-VS at an initial substrate concentration of 5 g-VS/L. The optimum ratios of Napier grass to food waste and Napier silage to food waste were 1:4 and 3:2 (g-VS/g-VS), respectively. This gave maximum methane yields (MY) of 411 and 362 mL-CH4/g-VSadded, respectively. Subsequently, the suitable ratios were used to produce methane at various substrate concentrations. A maximal MY of 403 and 353 mL CH4/g-VS were attained when concentrations of Napier grass co-digested with food waste and Napier silage co-digested with food waste were 15 g-VS/L and 20 g-VS/L, respectively. Under the optimum substrate concentration, the maximum MY from co-digestion of Napier grass with food waste was 1.14 times higher than that of Napier silage with food waste. Thus, co-digestion of Napier grass with food waste was further investigated at various organic loading rates (OLRs) in a 10.25 L horizontal reactor with a working volume of 5 L at an optimal ratio of 1:4 (g-VS/g-VS) and substrate concentration of 15 g VS/L. An OLR of 1.5 g-VS/L∙d gave a maximum methane production rate and MY of 0.5 L CH4/L∙d and 0.33 L-CH4/g-VSadded, respectively. Under the optimum OLR, the predominant methane producers were Methanoregula sp., Methanotorris sp., Methanobacterium sp., Methanogenium sp. and Methanosarcina sp. An energy production of 11.9 kJ/g-VSadded was attained.

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Section: Energy Production and A Comparison With The Literature Valuessupporting

confidence: 86%

Section: Energy Production and A Comparison With The Literature Valuesmentioning

confidence: 53%

Co-Digestion of Napier Grass with Food Waste and Napier Silage with Food Waste for Methane Production

2018

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“…However, anaerobic digestion of the CG presents some hindrances. The use of high glycerol loads may cause the accumulation of volatile fatty acids and a decrease in pH, which ultimately leads to the inhibition of methanogenic microorganisms (Razaviarani and Buchanan 2015;Silva et al 2018). This limits the glycerol concentration in the feed to values below 3% (v/v).…”

Section: Introductionmentioning

confidence: 99%

Enhancing methane yield from crude glycerol anaerobic digestion by coupling with ultrasound or A. niger/E. coli biodegradation

Paulista

Boaventura

Vilar

et al. 2019

Environ Sci Pollut Res

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Anaerobic digestion of crude glycerol from biodiesel production is a feasible way for methane production. However, crude glycerol (CG) contains impurities, such as long-chain fatty acids (LCFA) that can inhibit methanogenic microorganisms. Ultrasound promotes the hydrolysis of LCFA and deagglomerates the microorganisms in biological flocs. Furthermore, Aspergillus niger and Escherichia coli produce lipases capable of degrading LCFA. This study aims at improving the methane yield from anaerobic digestion by coupling with ultrasound or E. coli/A. niger biodegradation. The effect of the different treatments was first assessed in a perfectly mixed batch reactor (PMBR), using diluted CG at concentrations of 0.2%, 1.7%, and 3.2% (v/v). Later, the best conditions were replicated in an upflow anaerobic sludge blanket (UASB) reactor to simulate fullscale practical applications. Experiments in the PMBR showed that ultrasound or A. niger biodegradation steps improved methane yield up to 11% for 0.2% CG and 99% for 1.7% CG, respectively. CG biodegradation by E. coli inhibited the subsequent anaerobic digestion for all concentrations tested. Using a UASB digester, ultrasonic treatment of CG led to an average increase of 29% in methane production. The application of ultrasound led to a lower accumulation of propionic acid in the digested material and increased biogas production. On the other hand, an average 77% increase in methane production was achieved using a preliminary CG biodegradation step by A. niger, when operated at a loading rate of 2.9 kg COD m-3 day-1. Under these conditions, an energy gain of 0.48 kWh day-1 , with the production of the 0.434 m 3 CH 4 kg-1 COD removal and 0.573 m 3 CH 4 kg-1 VS, and a biogas quality of 73% in methane were obtained. The digested material was analyzed for the detection and quantification of added-value by-products in order to obtain a broad assessment of the CG valorization through anaerobic digestion. In some experiments, propionic and oxalic acid were detected. However, the accumulation of propionic caused the inhibition of the acetogenic and methanogenic microorganisms.

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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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Hydrogen and methane production in a two-stage anaerobic digestion system by co-digestion of food waste, sewage sludge and glycerol

Cited by 134 publications

References 64 publications

Co-Digestion of Napier Grass with Food Waste and Napier Silage with Food Waste for Methane Production

Co-Digestion of Napier Grass with Food Waste and Napier Silage with Food Waste for Methane Production

Enhancing methane yield from crude glycerol anaerobic digestion by coupling with ultrasound or A. niger/E. coli biodegradation

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

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