Influence of Environmental Parameters on the Composting Kinetic of Lignocellulosic Residues

Bueno, P.; Yáñez, Remedios; Ariza, J.; Díaz, María José Moreno

doi:10.1080/1065657x.2008.10702368

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…To maximize the statistical strength of experimental data while minimizing the number of experimental trials needed, a central composite factor design was used to test key levels of the physical parameters. Amongst the large number of papers dealing with composting, only a limited number in recent years are based on an experimental design that enhances the reliability of results (Liang et al, 2003;Gea et al, 2007;Zambrano et al, 2007;Bueno et al, 2008a;2008b).…”

Section: Introductionmentioning

confidence: 99%

Microbial oxygen uptake in sludge as influenced by compost physical parameters

Mohajer¹,

Trémier

Barrington³

et al. 2009

Waste Management

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1The wide range of optimal values reported for the physical parameters of compost 2 mixtures suggest that their interactive relationships should be investigated. The objective of this 3 study was to examine the microbial O 2 uptake rate (OUR) in 16 sludge waste recipes, offering a 4 range of moisture content (MC), waste/bulking agent (W/BA) ratio and BA particle size levels 5 determined using a central composite experimental design. The 3 kg samples were maintained at 6 a constant temperature and aeration rate for 28 days, during which a respirometer recorded O 2 7 uptake to provide a measure of microbial activity and biodegradability. The cumulative O 2 8 consumption after 14 and 28 days was found to be significantly influenced by MC, W/BA ratio, 9BA particle size and the interaction between MC and W/BA ratio (p < 0.05). Using multivariate 10 regression analysis, the experimental data was used to generate a model with good predictive 11 ability for cumulative O 2 consumption after 28 days as a function of the significant physical 12 variables (R 2 = 0.84). The prediction of O 2 uptake by the model depended highly on the 13 interaction between MC and W/BA ratio. A MC outside of the traditional 50-60 % (wet basis) 14 range still resulted in a high level of microbial O 2 uptake as long as the W/BA ratio was adjusted 15 to maintain a good O 2 exchange in the sample. The evolution of OUR in the samples was also 16 investigated, uncovering strong associations between short and long-term respirometric indices, 17 such as peak OUR and cumulative O 2 consumption (p < 0.005). Combining peak OUR data with 18 cumulative O 2 consumption after 14 days allowed for accurate predictions of cumulative O 2 after 19 28 days of aeration (R 2 = 0.96), implying that future studies need only run trials up to 14 days to 20 evaluate the overall O 2 consumption or biodegradability of a sludge mixture. 21

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Section: Introductionmentioning

confidence: 99%

Microbial oxygen uptake in sludge as influenced by compost physical parameters

Mohajer¹,

Trémier

Barrington³

et al. 2009

Waste Management

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“…There are some publications related to the biodegradation potential and kinetic analysis of organic wastes, the most worthwhile recent ones being published by Adani et al (2004), Trémier et al (2005), Komilis (2006), Tosun et al (2008), Bueno et al (2008) and de Guardia et al (2010), among others. In all these studies, except in Tosun et al (2008), complex models are developed and tested to describe the aerobic biodegradation of wastes, obtaining the biodegradation kinetic rate constants and the different fractions in which organic matter (or organic carbon) can be classified depending on its biodegradation rate.…”

Section: Introductionmentioning

confidence: 99%

Modelling the aerobic degradation of organic wastes based on slowly and rapidly degradable fractions

et al. 2011

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“…On the other hand, knowledge of the degradation kinetics, to find the most suitable conditions for proper degradation, is necessary. Several kinetic data, by inductive and deductive models, have been obtained by Sánchez (2007), Bueno et al (2008), and Wang and Ai (2016). In these models, references about the influence of several composting factors such (C/N ratio, moisture content, temperature, particle size, pH, mixing or turning frequency, and aeration rate) have been reported.…”

Section: Introductionmentioning

confidence: 99%

Influence of controllable variables on the composting process, kinetic, and maturity of Stevia rebaudiana residues

Castro-Fernández

Serrato-González

Montoya

et al. 2018

Int J Recycl Org Waste Agricult

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Purpose Stevia rebaudiana residues composting is studied and optimized using a central composite experimental design Methods The influence of controllable composting variables [moisture (40-70%), aeration (0.05-0.30 L air min −1 kg −1), and time (0-50 days)] on the temperature history and the properties of the compost (pH, organic matter) produced to determine suitable composting conditions. Mass balance and emitted gases of all the composting reactors have been done. Results Compost with high degradation entails operating at 50 days of composting under high moisture content (70%) and aeration level with values close to 0.05 L air min −1 kg −1. Moreover, the composting process kinetic for Stevia rebaudiana residues has been studied. The magnitude of the kinetic parameters on the studied conditions varies among 1/42 and 1/46 for 1/K 1 and 0.15 and 1.6 for K 2. Where 1/K 1 is a value that measures the affinity between microorganisms and substrate and K 2 depends on the composting variable optimization. Conclusions Both moisture and aeration affects positively and negatively the composting process. Moreover, low effect of aeration has been found. The values of 1/K 1 and K 2 obtained showed higher values (higher degradation kinetic) under 55% moisture content and 0.30 L air min −1 kg −1 .

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Influence of Environmental Parameters on the Composting Kinetic of Lignocellulosic Residues

Cited by 3 publications

References 12 publications

Microbial oxygen uptake in sludge as influenced by compost physical parameters

Microbial oxygen uptake in sludge as influenced by compost physical parameters

Modelling the aerobic degradation of organic wastes based on slowly and rapidly degradable fractions

Influence of controllable variables on the composting process, kinetic, and maturity of Stevia rebaudiana residues

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