Anaerobic co-digestion of a simulated organic fraction of municipal solid wastes and fats of animal and vegetable origin

Fernández, Anna; Sánchez, Antoni; Font, Xavier

doi:10.1016/j.bej.2005.02.018

Cited by 157 publications

(69 citation statements)

References 34 publications

(50 reference statements)

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“…However, their use is often limited to anaerobic digestion processes (Hansen et al, 2004;Fernández et al, 2005). In this work, two biogas production (BP) tests using solid and liquid conditions were assayed.…”

Section: Anaerobic Indicesmentioning

confidence: 99%

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In search of a reliable technique for the determination of the biological stability of the organic matter in the mechanical–biological treated waste

Barrena

D’Imporzano

Ponsá

et al. 2009

Journal of Hazardous Materials

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122

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The biological stability determines the extent to which readily biodegradable organic matter has decomposed. In this work, a massive estimation of indices suitable for the measurement of biological stability of the organic matter content in solid waste samples has been carried out. Samples from different stages in a Mechanical-Biological Treatment (MBT) plant treating municipal solid wastes (MSW) were selected as examples of different stages of organic matter stability in waste biological treatment.Aerobic indices based on respiration techniques properly reflected the process of organic matter biodegradation. Static and dynamic respirometry showed similar values in terms of aerobic biological activity (expressed as Oxygen Uptake Rate, OUR), whereas cumulative oxygen consumption was a reliable method to express the biological stability of organic matter in solid samples. Methods based on OUR and cumulative oxygen consumption were positively correlated. Anaerobic methods based on biogas production (BP) tests also reflected well the degree of biological stability, although significant differences were found in solid and liquid BP assays. A significant correlation was found between cumulative oxygen consumption and ultimate biogas production.The results obtained in this study can be a basis for the quantitative measurement of the efficiency in the stabilization of organic matter in waste treatment plants, including MBT plants, anaerobic digestion of MSW and composting plants.

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Section: Anaerobic Indicesmentioning

confidence: 99%

“…Volatile fatty acids (VFA) were determined by gas chromatography (Perkin-Elmer AutoSystem XL Gas Chromatograph) with a flame ionization detector (FID) and a column HP Innowax 30 m x 0.25 mm x 0.25 µm. The details of biogas and VFA analysis can be found elsewhere (Fernández et al, 2005).…”

Section: P R E -P R I N Tmentioning

confidence: 99%

In search of a reliable technique for the determination of the biological stability of the organic matter in the mechanical–biological treated waste

Barrena

D’Imporzano

Ponsá

et al. 2009

Journal of Hazardous Materials

Self Cite

122

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“…The addition of trace elements, nutrients or alkalinity is commonly practiced in many laboratory anaerobic digestion studies on wastewaters that are known to be deficient in certain nutrients (Takashima and Speece, 1990), or in batch studies, but in many cases no addition of other compounds is practiced, especially on studies with continuous feeding of diverse mixed feedstocks (Carucci et al, 2005, Fernandez et al, 2005 Salminen and Rintala, 2002). Also, micronutrient supplementation in commercial operations is not commonly practised as the minimisation of costs is favoured.…”

Section: Role Of Trace Elementsmentioning

confidence: 99%

Anaerobic digestion of catering wastes: effect of micronutrients and retention time

Climenhaga

Banks

2008

Water Science and Technology

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Source-separated foodwastes collected from a campus catering facility were processed in bench-scale single-stage anaerobic digesters. The feedstock contained a varied mix of fruits, vegetables, meats and fried foods. A constant organic loading rate (OLR) was maintained with differing hydraulic retention times (HRT). Regular addition of trace elements or prolonged retention time allowed stable digestion at high total volatile fatty acid (TVFA) levels. Reactors on HRT of 25, 50, and 100 days with no micronutrient supplementation exhibited methanogenic failure after approximately 40, 100 and 90 days respectively, while duplicate reactors with micronutrient supplementation maintained stable digestion. An extended HRT of 180 days has so far allowed continued digestion (for reactors with and without micronutrient supplementation) at levels of ammonia nitrogen exceeding 5.7 gl -1 and volatile fatty acid levels exceeding 15 gl -1 , usually considered inhibitory or toxic. Keywords Anaerobic digestion; catering wastes; micronutrients; foodwastes IntroductionFood wastes from domestic kitchens, commercial catering establishments and retail outlets represent a waste stream that holds significant potential as a resource for anaerobic digestion. This study used wastes from an institutional catering facility, containing high quantities not only of readily-degradable starches and sugars, but also more slowly-degradable lipids, as well as proteinaceous materials. The results indicate that a feedstock of pure foodwaste may not contain all nutrients required to meet microbial metabolic requirements.

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“…The production of methane will be higher when several wastes are combined in a single process and if a single waste only is used, a low methane yield will result due to its low biodegradability or the presence of inhibitory compounds such as potassium and lipids (Fernandez et al, 2005). Digestion of more substrates in the same reactor gives positive effects and the added nutrients could support microbial growth (Mata-Alvarez et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Methane Gas Production From Co-digestion of Food waste and Poultry Manure Using Artificial Neural Network and Response Surface Methodology

Yusof¹,

Man²,

Rahman³

et al. 2014

JAS

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Food waste with high carbohydrate content is considered as a suitable substrate for fermentation of methane gas. In this study, co-digestion of poultry manure (PM) and food waste (FW) was used. Response surface methodology (RSM) and artificial neural network (ANN) were applied to optimize parameters of co-digestion of PM and FW at different ratios, initial pH values and temperatures. A comparative analysis was done using RSM and ANN in a predictive model of the experimental data obtained in accordance with the central composite design. The combined effects of the independent variables (ratio, pH and temperature) as the most significant parameters of methane fermentation of PM and FW were investigated. Optimization using RSM and ANN showed a good fit between the experimental and the predicted data as elucidated by the coefficient of determination with R 2 values of 0.991 and 0.998, respectively. Quadratic RSM predicted the maximum methane yield to be 537 mL CH 4 /g VS at the optimal conditions; ratio 80:20 (PM : FW); temperature 35 °C; and initial pH 7.11. The maximum predicted methane yield by the ANN model was 535.82 mL CH 4 /g VS at the following conditions; ratio of poultry manure to food waste 80:20; temperature 35 °C; and pH 7.00. The verification experiments successfully produced 538 mL CH 4 /g VS within 14 days of incubation. These experiments indicated that the developed model was successfully used to predict the fermentable methane production.

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Anaerobic co-digestion of a simulated organic fraction of municipal solid wastes and fats of animal and vegetable origin

Cited by 157 publications

References 34 publications

In search of a reliable technique for the determination of the biological stability of the organic matter in the mechanical–biological treated waste

In search of a reliable technique for the determination of the biological stability of the organic matter in the mechanical–biological treated waste

Anaerobic digestion of catering wastes: effect of micronutrients and retention time

Optimization of Methane Gas Production From Co-digestion of Food waste and Poultry Manure Using Artificial Neural Network and Response Surface Methodology

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