Model development and application for surfactant biodegradation in an acclimatising activated sludge system

Carvalho, Gilda; Novais, J.M.; Pinheiro, H.M.; Vanrolleghem, Peter A.

doi:10.1016/j.chemosphere.2003.08.028

Cited by 12 publications

(4 citation statements)

References 16 publications

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“…Respirometric methods have been used to determine parameters of kinetic models that describe the aerobic biodegradation of wastewaters, single compounds, or mixtures of chemicals Orhon et al, 2009). These techniques were also employed to evaluate the biodegradable fraction of wastewaters (Lagarde et al, 2005), and to monitor the acclimation process of an activated sludge to a new environment (Carvalho et al, 2004;Aktas, 2012). Additionally, several on-line respirometer-based biosensors in wastewater treatment plants have been developed.…”

Section: Introductionmentioning

confidence: 99%

Error propagation in open respirometric assays

Lobo¹,

Bértola²,

Contreras

2014

Braz. J. Chem. Eng.

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-This work deals with the calculation of the uncertainty of the exogenous respiration rate (R ex ) and the total oxygen consumed (OC T ) derived from a single open respirometric profile. Uncertainties were evaluated by applying a linear error propagation method. Results show that standard deviations (SD) of R ex and OC T depend not only on the SD of the dissolved oxygen (σ C ) and k L a (σ kLa ), but also on the SD of the derivative term (dC/dt) of the oxygen mass balance equation (σ b ). A Monte Carlo technique was employed to assess σ b ; a power law expression for the dependence of σ b as a function of σ C , the time window (t w ) and the sampling rate (Δt) was proposed. The equations obtained in the present work are useful to calculate suitable conditions (e.g., biomass concentration, k L a) that minimize the coefficient of variation corresponding to R ex and OC T .

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Section: Introductionmentioning

confidence: 99%

Error propagation in open respirometric assays

Lobo¹,

Bértola²,

Contreras

2014

Braz. J. Chem. Eng.

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“…Researchers have studied surfactant aided pretreatment as an alternate approach to the AD process (Kavitha et al, 2016;Tamilarasan et al, 2017;Kumar et al, 2018). Carvalho et al (2004) states that bacteria utilize surfactants as a carbon source. Surfactants might help in releasing confined enzymes which present on the surface of cells or in the cell.…”

Section: Introductionmentioning

confidence: 99%

Biohydrogen Generation From Macroalgal Biomass, Chaetomorpha antennina Through Surfactant Aided Microwave Disintegration

et al. 2019

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This present work intends to improve on the possibility of enhancing solubilization and biohydrogen (H 2) production from Chaetomorpha antennina (marine macroalgae) through surfactants (ammonium dodecyl sulfate-ADS) aided with microwave disintegration pretreatment (SMD). Microwave disintegration (MD) was implemented by varying power intensity from 10 to 70% for the time period of 0 to 30 min. In microwave disintegration (MD), maximum soluble organic release of 1,260 mg/L and solubilization of 14.6% were achieved within 15 min. Through surfactants, soluble organic release improves up to 1,490 mg/L at the optimum MD power condition of 40%. High solubilization of 17.3% was achieved at dosage of 0.0035 g/g TS. Higher H 2 generation of 74.5 ml/g COD was obtained in the SMD method. SMD pretreatment therefore reduces pretreatment time and increases the organic release compared to MD.

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“…Models which are dedicated to describe the system performances in a SBR are available in the literature (ARTAN et al, 2006;BOAVENTURA et al, 2001;CARVALHO et al, 2004;COELHO et al, 2000;HVALA et al, 2001;MOUSSA et al, 2005;WU et al, 2001). Therefore, modelling and simulation offer interesting alternatives (ARTAN et al, 2006;HVALA et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Influent fractionation for the use of ASM1 to optimize urban wastewater treatment: Application to the removal of C and N in a SBR

Casellas¹,

Dagot²,

Pons

et al. 2008

rseau

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A simulation of a SBR using Benchmark procedure was done prior to field operation in order to optimize the cycle and phases lengths. The accurate identification of ASM1 variables is a prerequisite to achieve a good prediction. A fractionation procedure was applied to samples, corresponding to dry and rainy weather conditions, for taking into account the ASM1 state variable characteristics of specific wastewater (mixture of domestic and industrial wastewater), which differ largely from the default ones used in ASM1. The choice of the ASM1 state variables identification methodology is very important as it influences the results. Two methods were carried out: a batch test in closed reactors, and a coagulation/flocculation procedure. An optimal 12‑hour cycle length was determined, in terms of discharged water quality and reactor productivity. The described methodology led to valuable results in terms of carbon and nitrogen removal: respectively more than 90% of COD removal and more than 80% on total nitrogen removal.

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Model development and application for surfactant biodegradation in an acclimatising activated sludge system

Cited by 12 publications

References 16 publications

Error propagation in open respirometric assays

Error propagation in open respirometric assays

Biohydrogen Generation From Macroalgal Biomass, Chaetomorpha antennina Through Surfactant Aided Microwave Disintegration

Influent fractionation for the use of ASM1 to optimize urban wastewater treatment: Application to the removal of C and N in a SBR

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