The use of image analysis to investigate C:N ratio in the mixture of chicken manure and straw

Czekała, Wojciech; Dach, Jacek; Ludwiczak, Agnieszka; Przybylak, Andrzej; Boniecki, P.; Koszela, Krzysztof; Zaborowicz, Maciej; Przybył, Krzysztof; Wojcieszak, Dawid; Witaszek, Kamil

doi:10.1117/12.2197041

Cited by 18 publications

(12 citation statements)

References 8 publications

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“…According to Dach [38], because of the effect of C/N levels on ammonia emissions, it may be difficult to obtain the appropriate C/N ratio in composted sewage sludge, as sewage sludge is characterized by a high nitrogen content (4-5% TS), which has a significant effect on the organic carbon to nitrogen ratio, amounting to less than 10. Therefore, sewage sludge typically requires preparation before the composting process [39,40], for example, by adding materials containing straw, woodchips, or biochar [41]. This type of bulking agent addition to high moisture compost mixes can provide optimal humidity and sufficient porosity for proper airflow.…”

Section: Introductionmentioning

confidence: 99%

Heat Energy and Gas Emissions during Composting of Sewage Sludge

et al. 2019

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The composting of sewage sludge and maize straw mixtures was investigated in this study. The aim was to analyze the influence of different proportions of sewage sludge and maize straw in the mixtures on composting process dynamics (expressed by heat production) and gas emissions. The results showed that all examined mixtures reached a strong thermophilic phase of composting; however, the lowest dynamic of temperature growth was observed in the case of the biggest sewage sludge content (60% of sewage sludge in the composting mixture). The ammonia concentration inside bioreactor chambers was directly related to the content of sewage sludge in the composted mixture. Excessive contents of sewage sludge had a considerable effect on very low C/N ratios and high losses through ammonia emissions. Tests were carried out in reactors with a capacity of 160 dm3 under controlled conditions. All mixtures were aerated by the average air-flow of about 2.5 dm3∙min−1, i.e., the minimum air-flow that allows a temperature of about 70 °C to be reached and a sufficiently long thermophilic phase, which ensures proper composting.

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Section: Introductionmentioning

confidence: 99%

Heat Energy and Gas Emissions during Composting of Sewage Sludge

et al. 2019

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“…High influence on the development of artificial neural networks had a technical evolution in the field of neuroprocessors construction, which are analog hardware applications. In recent years, the artificial neural networks have been used in agricultural engineering [11][12], eco-energetics [13][14] and environmental engineering [15][16]. The obtained rewarding results in terms of classification and prediction were used to construct the expert systems working in real-time, effectively supporting the decision-making processes in many sectors of agriculture, food processing and biofuel production [17][18].…”

Section: Introductionmentioning

confidence: 99%

Energy and economic potential of maize straw used for biofuels production

Zbytek

Dach

Pawłowski

et al. 2016

MATEC Web of Conferences

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Abstract. The paper presents the energy and economic comparison of two technologies of maize straw utilization: solid biofuel production (briquettes) and methane fermentation. The research experiments have shown that maize straw is the material which can be efficiently implemented in both technologies. Maize straw usage as briquettes can generate more energy (10.956 GJ Mg -1 ) than methane fermentation (9.74). In Europe, biogas is used in co-generation units for production of electric and heat energy. Due to higher price of electricity, economic profitability of maize straw usage for biogas production is over twice higher (182 USD) than in case of briquettes production (96 USD).

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“…ArtificialNeural Networks(ANN) are an importantapplicationof cognitivemethodsusedin the areaof empirical researchcarried out inthe area of widelyunderstoodartificial intelligence [1][2][3][4].In particular,promising results are related to an application one of the importantcharacteristics ofANN, i.e. the ability to solve the problems concerning regressionandapproximation issues.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the selection process of the co-substrates for chicken manure fermentation using neural modeling

Lewicki

Bugała

Piekarska-Boniecka

et al. 2016

MATEC Web of Conferences

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Abstract. Intense development of research equipment leads directly to increasing cognitive abilities. However, along with the raising amount of data generated, the development of the techniques allowing the analysis is also essential. Currently, one of the most dynamically developing branch of computer science and mathematics are the Artificial Neural Networks (ANN). Their main advantage is very high ability to solve the regression and approximation issues. This paper presents the possibility of application of artificial intelligence methods to optimize the selection of cosubstrates intended for methane fermentation of chicken manure. 4-layer MLP network has proven to be the optimal structure modeling the obtained empirical data.

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The use of image analysis to investigate C:N ratio in the mixture of chicken manure and straw

Cited by 18 publications

References 8 publications

Heat Energy and Gas Emissions during Composting of Sewage Sludge

Heat Energy and Gas Emissions during Composting of Sewage Sludge

Energy and economic potential of maize straw used for biofuels production

Optimization of the selection process of the co-substrates for chicken manure fermentation using neural modeling

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