An integrated biochemical and physical model for the composting process

Solé-Mauri, Francina; Illa, Josep; Magrí, Albert; Prenafeta-Boldú, Francesc X.; Flotats, Xavier

doi:10.1016/j.biortech.2006.07.012

Cited by 98 publications

(69 citation statements)

References 30 publications

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“…a lower energy costs for aeration). This value of air flow rate is similar to the values in the references [10,23]. , carbon dioxide concentration is the most sensitive while organic matter conversion is the least sensitive to the change of air flow rate.…”

supporting

confidence: 86%

“…Oxygen concentration is measured at the exit of reactor and not in the material, and this fact also contributes to deviation between simulated and experimental data. Deviations can be also explained with variations in the rate of mass transfer between liquid and gas phases, due to drying of substrates [10]. Comparison of experimental and simulated data for organic matter content showed very good agreement (Figure 4).…”

Section: Resultsmentioning

confidence: 79%

“…Only a few composting models are based on microbial kinetics. Some models consider only one substrate and only one microbial population [5,9], while the other models consider several substrates and several microbial populations [8,10]. Taking into account the disadvantages of these models, there is a need to develop a new model that can help to improve prediction and optimization of the process performance.…”

Section: Introductionmentioning

confidence: 99%

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Application of validated mathematical model of composting process for study the effect of air flow rate on process performance

Mustafić

Petrić

Karić

2017

J. eng. process. manag.

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The objectives of this study were to develop and validate the mathematical model (kinetic and reactor model) of composting process, as well to used validated model in order investigate the effects of the air flow rate on organic matter conversion, carbon dioxide concentration and mixture temperature. The mathematical model incorporated two microbial populations that metabolized composting material which was split into two different fractions according to its degradability (easily-degradable and hardly-degradable). Comparisons of simulation and experimental results for five dynamic state variables demonstrated that the model has very good predictions of the composting process. Simulations with validated model showed that among three dynamic state variables (organic matter conversion, carbon dioxide concentration, mixture temperature), carbon dioxide concentration is the most sensitive while organic matter conversion is the least sensitive to the change of air flow rate.

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supporting

confidence: 86%

Section: Resultsmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of validated mathematical model of composting process for study the effect of air flow rate on process performance

Mustafić

Petrić

Karić

2017

J. eng. process. manag.

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“…Los resultados experimentales encontrados en estos ensayos, son usualmente contrastados con modelos cinéticos de biodegradación de la materia orgánica, generalmente basados en una cinética de orden uno [46], para calibrar variables de los modelos (Tasas de degradación del sustrato, tasa de consumo de oxígeno o de producción de dióxido de carbono, generación de nitritos y nitratos, emisión de compuestos orgánicos volátiles-COV y NH 3) y con ello intentar predecir el comportamiento que tendrá el proceso y la posible calidad del producto. En la actualidad se proponen modelos biológicos que consideran la ecuación de Monod y la participación de diferentes organismos implicados en el proceso [47], así como modelos fundamentados en balances de masa o energía en torno al proceso de compostaje [48,49], no obstante, son pocos los estudios que consideran ambos tipos de modelos, entre ellos el propuesto por Sole et al [50].…”

Section: Tendencias Investigativas En Compostaje De Biorresiduosunclassified

Compostaje de biorresiduos: Tendencias de investigación y pertinencia en países en desarrollo

Soto-Paz¹,

Oviedo-Ocaña

Torres–Lozada³

et al. 2017

DYNA

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Biowaste is the main fraction of MSW in developing countries. Composting is a promising alternative for the management of biowaste in these contexts. However, its implementation has not been effective in developing countries, for which it is necessary to explore options to improve its application in this context. This article reviewed the research trends on biowaste composting and the potential application in developing countries such as Colombia. For this purpose, the technology monitoring methodology was used in databases of specialized scientific journals (period 2006 to 2017), using bibliometric tools such as RefViz® and Tlab®. The research has focused on optimizing the process through measures such as the use of amendment or support materials, strategies for reducing nitrogen losses, aerobic biodegradability studies and the development of empirical models to predict process conditions. The integration of this research in the context of developing countries can contribute to improve the application of biowaste composting.Keywords: Resource recovery; biowastes; composting; product quality; modeling. Compostaje de biorresiduos: Tendencias de investigación y pertinencia en países en desarrolloResumen Los biorresiduos son la mayor fracción de los Residuos Sólidos Municipales-RSM en países en desarrollo, siendo el compostaje una alternativa promisoria para su gestión. La implementación del compostaje en este contexto no ha sido efectiva requiriéndose estrategias para mejorar su aplicación. Este artículo analiza tendencias investigativas del compostaje de biorresiduos y presenta una reflexión crítica al respecto. Para tal efecto, emplea elementos de vigilancia tecnológica, analizando revistas científicas especializadas (periodo 2006 a 2017) y usando herramientas bibliométricas como RefViz® y Tlab®. Las investigaciones para optimizar el proceso se han enfocado en el uso de materiales de enmienda o de soporte, estrategias para la reducción en las pérdidas de nitrógeno, desarrollo de estudios de biodegradabilidad aerobia y de modelos empíricos para predecir condiciones del proceso. La integración de estas investigaciones en el contexto de países en desarrollo puede contribuir al mejoramiento de la aplicación del compostaje de biorresiduos.Palabras clave: Aprovechamiento; biorresiduos; compostaje; calidad del producto; modelado.

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“…Sommer et al (2004) proposed algorithms to quantify CH 4 emissions from liquid manure during storage, and N 2 O emissions from soils after field application of slurry. Models have also been developed for treatment processes, notably biological N removal process , composting process (Sole-Mauri et al, 2007) or anaerobic digestion (SAN). However, such mechanistic models are often built from laboratory experiments, and their use remains very limited on a real scale.…”

Section: Introductionmentioning

confidence: 99%

Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part II: effect of animal housing, manure storage and treatment practices

Rigolot

Espagnol²,

Robin³

et al. 2010

Animal

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A model has been developed to predict pig manure evolution (mass, dry and organic matter, N, P, K, Cu and Zn contents) and related gaseous emissions (methane (CH 4 ), nitrous oxide (N 2 O) and ammonia (NH 3 )) from pig excreta up to manure stored before spreading. This model forms part of a more comprehensive model including the prediction of pig excretion. The model simulates contrasted management systems, including different options for housing (slatted floor or deep litter), outside storage of manure and treatment (anaerobic digestion, biological N removal processes, slurry composting (SC) with straw and solid manure composting). Farmer practices and climatic conditions, which have significant effects on gaseous emissions within each option, have also been identified. The quantification of their effects was based on expert judgement from literature and local experiments, relations from mechanistic models or simple emission factors, depending on existing knowledge. The model helps to identify relative advantages and weaknesses for each system. For example, deep-litter with standard management practices is associated with high-greenhouse gas (GHG) production (1125% compared to slatted floor) and SC on straw is associated with high NH 3 emission (115% compared to slatted floor). Another important result from model building and first simulations is that farmer practices and the climate induce an intra-system (for a given infrastructure) variability of NH 3 and GHG emissions nearly as high as inter-system variability. For example, in deep-litter housing systems, NH 3 and N 2 O emissions from animal housing may vary between 6% and 53%, and between 1% and 19% of total N excreted, respectively. Thus, the model could be useful to identify and quantify improvement margins on farms, more precisely or more easily than current methodologies.

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An integrated biochemical and physical model for the composting process

Cited by 98 publications

References 30 publications

Application of validated mathematical model of composting process for study the effect of air flow rate on process performance

Application of validated mathematical model of composting process for study the effect of air flow rate on process performance

Compostaje de biorresiduos: Tendencias de investigación y pertinencia en países en desarrollo

Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part II: effect of animal housing, manure storage and treatment practices

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