Kinetic study of anaerobic digestion of wine distillery wastewater

Borja, R.; Martı́n, A.; Luque, M.; Duran, Metin

doi:10.1016/0032-9592(93)80011-5

Cited by 45 publications

(30 citation statements)

References 7 publications

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“…SOUR -SOUR, = a, U + b, (8) where SOUR, represents the contribution of nitrrfication in the specific oxygen uptake rate. The nitrogenous oxygen demand (NOD) can then be estimated by considering the global reaction of nitrifkation (9) Note that in equation (11) a 12% of the biomass has been assumed to represent the mass of nitrogen [151.…”

Section: )mentioning

confidence: 99%

Continuous flow integrated chemical (ozone)‐activated sludge system treating combined agroindustrial‐domestic wastewater

2000

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Section: )mentioning

confidence: 99%

Continuous flow integrated chemical (ozone)‐activated sludge system treating combined agroindustrial‐domestic wastewater

2000

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“…5,8,9 For ease of application a simpler mathematical approach 10 was adopted in this study which made use of a mathematical function as shown in eqn (5) to fit the data to experimental results.…”

Section: Kinetic Modelling Of Ch 4 Productionmentioning

confidence: 99%

The use of a specific function to estimate maximum methane production in a batch‐fed anaerobic reactor

Redzwan

Banks

2004

J of Chemical Tech & Biotech

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A readily biodegradable substrate was used to assess the value of using a mathematical function of y = y max exp m/x as a simplified method of determining the maximum methane production (G max ) in a batch anaerobic reactor. Experimental results to test the method used three different initial substrate loadings in pre-acclimatised completely mixed anaerobic reactors. Gas production was found to follow a typical trend that has previously been described by first order reaction kinetics; for the purpose of fitting the linearisation, it requires a value for maximum cumulative methane production. Use of the modified specific function to yield the equation G = G max exp m/t showed that the experimental gas production curve could be estimated with a high degree of similarity. This was confirmed by a statistical analysis using the method of residuals which gave a correlation coefficient (R 2 ) greater than 0.97 between experimental and estimated values. Using a graphical linearisation of the specific function produced a simplified method of predicting G max . The value obtained was then used in a first order kinetic model to derive the specific coefficient rate (K o ), which was in agreement with other methods used for its determination.

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“…It is concluded that while the anaerobic fluidized-bed process * Corresponding author, Email:skmhossain@yahoo.co.in has become an established technology for biomethanation of treatment of industrial waste-waters, further improvements can still be expected. Attached bacteria have the highest relative activities and are considered to have a more important role in anaerobic stabilization than the unattached portion [16][17][18][19]. Biomass concentration in the bottom part of the bed showed higher values than in the upper levels in the fluidized bed reactor.…”

Section: Introductionmentioning

confidence: 97%

“…The assays indicated that total activity was higher in bioparticle sampled from upper reactor levels. This was explained by the lower biofilm density values in this zone and mass transfer limitation phenomena [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…The kinetics of anaerobic biomethanation of the distillery wastewaters with respect to COD removal in fluidized-bed bioreactor was also investigated. The studies dealt with the mathematical modeling of the experimental data on biomethanation and suggest model equations relating kinetic parameter (rate constant, k), maximum specific growth rate (µ max ) with respect to COD (substrate) removal [15][16][17][18][19]. The mathematical model was also analyzed for hydrodynamic pressure (∆p) vs feed flow (u) and hydrodynamic pressure (∆p) with respect to CH 4 gas yields.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Modeling of Distillery Wastewater Biomethanation in Fluidized-bed Bioreactor

Hossain¹,

Das

2010

Chem. Eng. Res. Bull.

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An anaerobic fluidized-bed reactor was designed to treat distillery wastewaters for biogas generation using actively digested aerobic sludge of a sewage plant. The optimum digestion time was 8 h and optimum initial pH of feed was observed as 7.5 respectively. The optimum temperature of feed was 40• C and optimum feed flow is 14 L/ min with maximum OLR was 39.513 kg COD m −3 h −1 respectively. The OLR was calculated on the basis of COD inlet in the bioreactor at different flow rates. Maximum CH 4 gas concentration was 63.56 % (v/v) of the total (0.835 m 3 /kg COD m −3 h −1 ) biogas generation, corresponding to 0.530 m 3 /kg COD m −3 h −1 at optimum digestion parameters. Maximum COD and BOD reduction of the distillery wastewaters were 76.82% (w/w) and 81.65% (w/w) with maximum OLR of 39.513 kg COD m −3 h −1 at optimum conditions respectively. The rate constant (k) was measured as 0.31 h −1 in fluidized-bed bioreactor and followed a first order rate equation. The specific growth rate (µ) was 0.99 h −1 and maximum sp. growth rate (µ max ) was 1.98 h −1 respectively. The bacterial yield coefficient (Y) was determined as 0.319 /kg COD m −3 h −1 at optimum parameters. The studies also dealt with the mathematical modeling of the experimental data on biomethanation and suggested modeling equations relating to kinetic parameter (rate constant, k), maximum specific growth rate (µ max ) with respect to COD (substrate) removal. The mathematical model was also analyzed for hydrodynamic pressure (∆p) vs feed flow (u) and hydrodynamic pressure (∆p) with respect to CH 4 gas yields. The linear and non-linear equations which fitted the models were obtained.

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Kinetic study of anaerobic digestion of wine distillery wastewater

Cited by 45 publications

References 7 publications

Continuous flow integrated chemical (ozone)‐activated sludge system treating combined agroindustrial‐domestic wastewater

Continuous flow integrated chemical (ozone)‐activated sludge system treating combined agroindustrial‐domestic wastewater

The use of a specific function to estimate maximum methane production in a batch‐fed anaerobic reactor

Mathematical Modeling of Distillery Wastewater Biomethanation in Fluidized-bed Bioreactor

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