Temperature dependence of bioelectrochemical CO2 conversion and methane production with a mixed-culture biocathode.

This study evaluated the effect of temperature on methane production by CO2 reduction during microbial electrosynthesis (MES) with a mixed-culture biocathode. Reactor performance, in terms of the amount and rate of methane production, current density, and coulombic efficiency, was compared at different temperatures. The microbial properties of the biocathode at each temperature were also analyzed by 16S rRNA gene sequencing. The results showed that the optimum temperature for methane production from CO2 reduction in MES with a mixed-culture cathode was 50°C, with the highest amount and rate of methane production of 2.06±0.13mmol and 0.094±0.01mmolh-1, respectively. In the mixed-culture biocathode MES, the coulombic efficiency of methane formation was within a range of 19.15±2.31% to 73.94±2.18% due to by-product formation at the cathode, including volatile fatty acids and hydrogen. Microbial analysis demonstrated that temperature had an impact on the diversity of microbial communities in the biofilm that formed on the MES cathode. Specifically, the hydrogenotrophic methanogen Methanobacterium became the predominant archaea for methane production from CO2 reduction, while the abundance of the aceticlastic methanogen Methanosaeta decreased with increased temperature.

Example study for granular bioreactor stratification: Three-dimensional evaluation of a sulfate-reducing granular bioreactor.

Recently, sulfate-reducing granular sludge has been developed for application in sulfate-laden water and wastewater treatment. However, little is known about biomass stratification and its effects on the bioprocesses inside the granular bioreactor. A comprehensive investigation followed by a verification trial was therefore conducted in the present work. The investigation focused on the performance of each sludge layer, the internal hydrodynamics and microbial community structures along the height of the reactor. The reactor substratum (the section below baffle 1) was identified as the main acidification zone based on microbial analysis and reactor performance. Two baffle installations increased mixing intensity but at the same time introduced dead zones. Computational fluid dynamics simulation was employed to visualize the internal hydrodynamics. The 16S rRNA gene of the organisms further revealed that more diverse communities of sulfate-reducing bacteria (SRB) and acidogens were detected in the reactor substratum than in the superstratum (the section above baffle 1). The findings of this study shed light on biomass stratification in an SRB granular bioreactor to aid in the design and optimization of such reactors.

Modeling and optimization of granulation process of activated sludge in sequencing batch reactors.

Aerobic granulation is a promising process for wastewater treatment, but this granulation process is very complicated and is affected by many factors. Thus, a mathematical model to quantitatively describe such a granulation process is highly desired. In this work, by taking into account all of key steps including biomass growth, increase in particle size and density, detachment, breakage and sedimentation, an one-dimensional mathematic model was developed to simulate the granulation process of activated sludge in a sequencing batch reactor (SBR). Discretization methodology was applied by dividing operational time, sedimentation process, size fractions and slices into discretized calculation elements. Model verification and prediction for aerobic granulation process were conducted under four different conditions. Four parameters indicative of granulation progression, including mean radius, biomass discharge ratio, total number, and bioparticle size distribution, were predicted well with the model. An optimum controlling strategy, automatically adjusted of settling time, was also proposed based on this model. Moreover, aerobic granules with a density higher than 120 g VSS/L and radius in a range of 0.4-1.0 mm were predicted to have both high settling velocity and substrate utilization rate, and the corresponding optimum operating conditions were be determined. Experimental results demonstrate that the developed model is appropriate for simulating the formation of aerobic granules in SBRs. These results are useful for designing and optimizing the cultivation and operation of aerobic granule process.

[Experimental and modeling research on the settlement of aerobic granular sludge].

Settling process of mature aerobic granules cultivated in sequencing batch reactor was investigated in this study. With the increase of settling height, the concentration of suspended solids increased from 0.24 mg x L(-1) to 6.07 mg x L(-1), mean size increased from 450 microm to 550 pm and roundness of granules increased by 12.67%. This indicated that big and regular granules have high settling velocity and can remain in the reactor after settling selection. A new parameter, selective coefficient is introduced based on the theory of selective pressure and settling experiments. Both experimental and simulated results showed that the selective coefficient increased with the increase of granule size and density, at any settling height. With the increase of settling height, selective coefficient of granules with radius above 600-800 microm increased, while that of smaller granules decreased. At high exchange ratio, bigger granules have higher selective coefficient and can accumulate more than smaller ones. At lower exchange ratio, the granulation process will slow down. Results of this study can provide foundation and instruction for the cultivation and stability of aerobic granular sludge reactors.

A generalized model for aerobic granule-based sequencing batch reactor. 1. Model development.

A generalized model was established for simulating an aerobic granule-based sequencing batch reactor (SBR) with considerations of biological processes, reactor hydrodynamics, mass transfer, and diffusion. Methodology of discretization was effectively used forthe model development and calculations. The activated sludge model no.1 was modified to describe the biological processes within the granules. Based on the difference between the calculated and measured results, the model structure was further improved through introducing simultaneous consumption of soluble substrates by storage and heterotrophs growth with a changeable reaction rate. Model calculations were conducted using a MATLAB program. The calculation results show the respective contributions of granules in different size fractions and slices to the overall change of model component concentrations. Moreover, oxygen concentration profiles within granules and oxygen consumption rate varied in one operating cycle. This confirms the applicability and validity of the discretization method and the model structure.

A generalized model for aerobic granule-based sequencing batch Reactor. 2. Parametric sensitivity and model verification.

The sensitivity of the effluent chemical oxygen demand, NH4+-N and volatile suspended solids concentrations toward the stoichiometric and kinetic coefficients, oxygen diffusivity, characteristics of granules, and operating parameters was analyzed. With such a parametric sensitivity analysis, calibration of the model, which was established for describing aerobic-granule-based sequencing batch reactor (SBR) in the accompanying paper, was performed by comparing the measured and predicted values for model components. Thereafter, the established model was verified with the experimental results for four aerobic-granule-based SBRs with different granule sizes and fed with different wastewaters. The verification results show that the model established in this work was applicable to simulating and predicting the performance of an aerobic-granule-based SBR.

Formation and characterization of aerobic granules in a sequencing batch reactor treating soybean-processing wastewater.

Aerobic granules were cultivated in a sequencing batch reactor (SBR) fed with soybean-processing wastewater at 25+/-1 degrees C and pH 7.0+/-0.1. The granulation process was described via measuring the increase of sludge size. The formation of granules was found to be a four-phase process, that is, acclimating, shaping, developing, and maturated. A modified Logistic model could well fit with the granule growth by diameter and could be employed to estimate the maximum diameter, lag time, and specific diameter growth rate effectively. Both normal and log-normal distributions proved to be applicable to model the diameter distribution of the granules. The granule-containing liquor was shear thinning, and their rheological characteristics could be described by using the Herschel-Buckley equation. The suspended solids concentration, pH, temperature, diameter, settling velocity, specific gravity, and sludge volume index all had an effect on the apparent viscosity of the mixed liquor of granules. The matured granules had fractal nature with a fractal dimension of 1.87+/-0.34. Moreover, 83% of matured granules were permeable with fluid collection efficiencies over 0.034. As compared to activated sludge flocs, the aerobic granules grown on the soybean-processing wastewater had better settling ability, mass transfer efficiency, and bioactivity.