Application of ADM1 model to a full‐scale anaerobic digester under dynamic organic loading conditions

Ozkan-Yucel, Umay Gokce; Gokcay, Celal F.

doi:10.1080/09593331003596528

Cited by 30 publications

(9 citation statements)

References 17 publications

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“…[12] These technologies encompass thermal, [13] sonication, [14,15] autohydrolysis, [16] and physical-chemical pretreatments. [17] Most applications have been traditionally focused on sewage sludge or ligno-cellulosic biomasses, [18] rather than substrates such as FW, owing to the presence of hard digestible fractions as for example fruit peels and vegetable scraps. Recently, FW was taken into consideration for pretreatment applications, [19] with particular reference to thermal pretreatment, often coupled with chemical hydrolysis both acid and alkaline; [20] other possibilities include mechanical treatments, such as particle size reduction [21] and microwave.…”

Section: Introductionmentioning

confidence: 99%

Biomethane potential of food waste: modeling the effects of mild thermal pretreatment and digestion temperature

Montecchio

Gallipoli

Gianico

et al. 2016

Environmental Technology

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In order to enhance anaerobic biodegradability of food waste (FW), thermal pretreatment was applied. The effectiveness in terms of biodegradability extent and process rate improvement was investigated. To this aim, Biomethane Potential tests were carried out under mesophilic and thermophilic conditions. The IWA anaerobic digestion Model 1 (ADM1), a powerful tool for modeling the anaerobic digestion (AD) of different substrates, was implemented to predict the methane production. Disintegration constant (k_dis) and maximum acetate uptake rate (km_ac) were identified as the most sensitive parameters and were calibrated over the observed methane production. Pretreatment improvement was more evident in enhancing parameters related to the process rate, such as solubilization extent (+153%) and disintegration constant (+18%), rather than increasing substrate biodegradability. Thermophilic conditions proved to be effective in speeding up the whole AD process, since all the kinetics were significantly improved (disintegration rate increased up to fivefold). Furthermore, it was demonstrated that, after k_dis and km_ac calibration, default thermophilic ADM1 parameters can be suitable to model FW digestion.

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Section: Introductionmentioning

confidence: 99%

Biomethane potential of food waste: modeling the effects of mild thermal pretreatment and digestion temperature

Montecchio

Gallipoli

Gianico

et al. 2016

Environmental Technology

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“…The most recent model is the International Water Association (IWA) Anaerobic Digestion Model No.1 (ADM1), which was published in 2002 3. Several successful implementations of the model have been published for sludge stabilization 4–8. The state variables used for the model validation were biogas production, acetate and propionate4 chemical oxygen demand (COD), ammonia, total VFA, pH, volatile solids removal5 total solids (TS), volatile solids (VS) and biogas yield6 and CH 4 production rate 7…”

Section: Introductionmentioning

confidence: 99%

Application of neural network prediction model to full-scale anaerobic sludge digestion

Güçlü

Yilmaz

Ozkan-Yucel

2011

J. Chem. Technol. Biotechnol.

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BACKGROUND: Process modeling is a useful tool for description and prediction of the performance of anaerobic digestion systems under varying operation conditions. The objective of this study was to implement a model to simulate the dynamic behavior of a large-scale anaerobic sewage sludge digestion system. Artificial neural network (ANN) models using algorithms best suited to environmental problems (the Levenberg-Marquardt algorithm and the 'gradient descent with adaptive learning rate' back propagation algorithms) were used to model the anaerobic sludge digester of the Ankara Central Wastewater Treatment Plant (ACWTP) using dynamic data.

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“…The International Water Association (IWA) task group for mathematical modeling of anaerobic digestion process developed a common model: ADM1 that can be used by researches and practitioners (Batstone et al, 2002;Ozkan-Yucel & Gokcay, 2010;García-Gen et al, 2013). ADM1 is an excellent simulation platform given its adequate structure that is able to handle many different situations encountered experimentally.…”

Section: The Iwa Anaerobic Digestion Model: Adm1mentioning

confidence: 99%

Anaerobic digestion modeling: from one to several bacterial populations

Ramírez-Rivas¹

2011

TecnoL.

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Los sistemas de digestión anaeróbica son procesos complejos que desafortunadamente a menudo sufren de inestabilidad. A fin de diseñar, optimizar y operar eficientemente estos sistemas es necesario desarrollar estrategias apropiadas de control. Estas estrategias requieren, en general del desarrollo de modelos matemáticos. El proceso de digestión anaerobia comprende una red compleja de reacciones secuenciales y paralelas de naturaleza bioquímica y fisicoquímica. Generalmente, estas reacciones contienen un paso en particular, denominado reacción-limitante el cual siendo el más lento, limita la tasa de reacción del proceso global. Los primeros intentos del modelado de la digestión anaerobia condujeron a modelos que describen este paso limitante. Sin embargo, en una amplia gama de condiciones de funcionamiento, el paso limitante no siempre es el mismo. Este puede depender de las características de las aguas residuales, de la carga hidráulica, de la temperatura, etc. Es evidente que la "hipótesis del paso limitante" conduce a modelos simples y fácilmente utilizables. Sin embargo, estos modelos no describen muy bien el comportamiento del digestor, especialmente en condiciones transitorias de funcionamiento. Este trabajo revisa el estado del arte en modelización de la digestión anaerobia. Damos una breve descripción de los modelos clave de digestión anaerobia que se han desarrollado hasta el momento para describir sistemas con crecimiento de biomasa, incluyendo el modelo de digestión anaerobia No 1 (ADM1) de la Asociación Internacional del Agua (IWA) e identificamos las áreas que requieren esfuerzos futuros de investigación.

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Application of ADM1 model to a full‐scale anaerobic digester under dynamic organic loading conditions

Cited by 30 publications

References 17 publications

Biomethane potential of food waste: modeling the effects of mild thermal pretreatment and digestion temperature

Biomethane potential of food waste: modeling the effects of mild thermal pretreatment and digestion temperature

Application of neural network prediction model to full-scale anaerobic sludge digestion

Anaerobic digestion modeling: from one to several bacterial populations

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