Fuzzy control for the process of heat removal during the composting of agricultural waste

Neugebauer, M.; Sołowiej, P.; Piechocki, Janusz

doi:10.1007/s10163-013-0188-8

Cited by 14 publications

(5 citation statements)

References 23 publications

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“…It has to be underline that this heat removal system was the key element for the realization of the planned experiment in order to reach the aim of the study. Data from the literature [70,71] were used to set the optimal temperature at which heat can be received without compromising the composting process or the quality of the produced humus. The amount of received heat was computed by the metering system.…”

Section: Methodsmentioning

confidence: 99%

The Effect of Heat Removal during Thermophilic Phase on Energetic Aspects of Biowaste Composting Process

et al. 2021

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Composting is the natural, exothermic process where the huge amount of heat that is created is an issue of organic matter decomposition. However, too high temperature can reduce the microbial activity during the thermophilic composting phase. The aim of this study was to analyze the effect of heat excess removal from composted materials on the process dynamic. The experiment was performed in two parallel bioreactors. One of them was equipped with a heat removal system from the bed of the composted material. Three experiments were carried out with mixtures of different proportions: biological waste, wheat straw, and spent coffee grounds. The content of each option was determined based on a previous study of substrates to maintain the C/N ratio for the right composting process, provide adequate porosity composted material, and enable a proper degree of aeration. The study showed the possibility of receiving part of the heat from the bed of composted material during the thermophilic phase of the process without harm both to the course of composting and the quality of the final product. This shows that at a real scale, it can be possible to recover an important amount of heat from composted materials as a low-temperature heat source.

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Section: Methodsmentioning

confidence: 99%

The Effect of Heat Removal during Thermophilic Phase on Energetic Aspects of Biowaste Composting Process

et al. 2021

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“…Há estudos sobre modelagem computacional das condições da cama de compostagem no interior de galpões de producão intensiva (Dinca et al, 2016;Salehi et al, 2014;Mota et al, 2018;Mota, 2018), bem como estudos relacionados aos fatores de compostagem como (Giusti & Libelli, 2010;Neugebauer et al, 2014). A decomposição do substrato sob a ação de várias espécies de bactériasé denominada compostagem -um processo bioquímico de digestão anaeróbica, sendo utilizado em larga escala para o tratamento e recuperação de resíduos biodegradáveis, como na produção de biogás (Salehi et al, 2014;Yordanova et al, 2004Yordanova et al, , 2006.…”

Section: Modelagem Fuzzy Para Análise Microbiológicaunclassified

Sistema de Inferência Neuro-Fuzzy para Análise Microbiológica de Processos de Compostagem

Mota

Leite

2020

Anais Do Congresso Brasileiro De Automática 2020

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A cama de galpões de confinamento de bovino leiteiro no modelo compost barn tem grande impacto na qualidade e produtividade animal. O objetivo deste estudo é desenvolver um modelo não-linear para estimar a quantidade de bactéria em camas de compostagem. A partir de variáveis de fácil mensuração, estimativas podem ser geradas pelo modelo e, consequentemente, análises laboratoriais caras e demoradas são evitadas. Um modelo de inferência neuro-fuzzy, ANFIS, é considerado. A pesquisa foi realizada em uma propriedade em Três Corações. Diferentes funções de pertinência fuzzy e algoritmos de aprendizado, tais como Fuzzy C-Means e Retro-Propagação de Erro, foram avaliados na construção do modelo ANFIS. Os resultados mostram que ANFIS prediz a contagem total de bactérias com boa acurácia. A melhor configuração ANFIS usa cinco atributos facilmente mensuráveis (pH, umidade, temperatura na superfície e a 0,15m de profundidade, e resíduo mineral fixo); funções de pertinência Gaussianas apropriadamente posicionadas no espaço dos dados via Fuzzy C-Means; e o algoritmo de retro-propagação para adaptar os coeficientes de funções consequentes afins. Ademais, um modelo simplificado com quatro atributos - excluído o resíduo mineral fixo - usando função de pertinência sino generalizado é sugerido alternativamente ao preço de uma pequena redução em acurácia.

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“…Composting is the process of organic matter decomposition by aerobic microorganisms, commonly used both in home applications and on an industrial scale. During this process, under the influence of microorganisms, composted biomass is significantly heated [1]. This situation is conducive to the destruction of morbific pathogens contained in its interior [2], and under appropriate conditions may lead to its pasteurization [3,4].…”

Section: Introductionmentioning

confidence: 99%

Image Analysis of Sewage Sludge and Barley Straw as Biological Materials Composted under Different Conditions

2019

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Composting is one of the most important methods of sewage sludge management. This paper describes the methods of computer image analysis used for objective comparison of the appearance of composted materials under diverse conditions in terms of size and thermal insulation of the composting chambers. The research material was a mixture of sewage sludge and barley straw. The composting process was performed under strictly controlled laboratory conditions, using 10 composting chambers with five different volumes. In half of them additional thermal insulation was used, while in the others no insulation was applied. A proper composting process run was observed only in the three chambers with the largest volume and with additional thermal insulation. The images of the materials were subjected to a wide analysis, wherein the values of 17 parameters regarding color and texture were estimated. Significant differences were observed in the appearances between materials obtained during the properly running composting processes and those obtained in the chambers of insufficient size and thermal insulation. The values of the considered parameters determined for images of the composted material under normal and abnormal conditions were significantly different from each other. Thus, these parameters may be used as indicators of a correctly conducted composting process. In the cases of 15 parameters, the values of these differences exceeded 10%, and in the cases of 10 parameters 50%, while in the cases of three parameters as much as 100%.

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Fuzzy control for the process of heat removal during the composting of agricultural waste

Cited by 14 publications

References 23 publications

The Effect of Heat Removal during Thermophilic Phase on Energetic Aspects of Biowaste Composting Process

The Effect of Heat Removal during Thermophilic Phase on Energetic Aspects of Biowaste Composting Process

Sistema de Inferência Neuro-Fuzzy para Análise Microbiológica de Processos de Compostagem

Image Analysis of Sewage Sludge and Barley Straw as Biological Materials Composted under Different Conditions

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