Investigating the Enhancement in Biogas Production by Hydrothermal Carbonization of Organic Solid Waste and Digestate in an Inter-Stage Treatment Configuration

Ferrentino, Roberta; Langone, Michela; Mattioli, Davide; Fiori, Luca; Andreottola, Gianni

doi:10.3390/pr10040777

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Hydrothermal treatments such as HTC and HTL also produce an aqueous phase with a high organic load which must be managed: this is another reason that identifies as ideal the location of hydrothermal plants inside WWTPs. Different configurations can be implemented: a thermal hydrolysis pretreatment applied to sewage sludge to increase its biogas production in subsequent anaerobic digestion, HTC of digested sludge to reduce its volume and eventually recover nutrients, a combination of the two aforementioned configurations . These considerations highlight the importance of implementing CFD models capable of dealing with slurries and sludges during their treatment in hydrothermal reactors.…”

Section: Resultsmentioning

confidence: 99%

“…Different configurations can be implemented: a thermal hydrolysis pretreatment applied to sewage sludge to increase its biogas production in subsequent anaerobic digestion, 41 HTC of digested sludge to reduce its volume and eventually recover nutrients, 42 a combination of the two aforementioned configurations. 43 These considerations highlight the importance of implementing CFD models capable of dealing with slurries and sludges during their treatment in hydrothermal reactors.…”

Section: T H I S C O N T E N T I S O N L Y L I C E N S E D F O R C O ...mentioning

confidence: 99%

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Mixing Due to Natural Convection in a Hydrothermal Reactor: A CFD Study

Marchelli,

Fiori

2024

Ind. Eng. Chem. Res.

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The successful design of biomass hydrothermal reactors could be substantially enhanced by computational fluid dynamics (CFD) simulations. However, their performance is still limited by the complexity of the involved physicochemical phenomena and the scarcity of experimental data. This study employs such simulations to analyze the thermo-fluid dynamics of an unstirred batch hydrothermal reactor. By assessing the reactor's response to a lateral heat source, we show that correctly including various phenomena, such as phase transfers and temperature-dependent properties, enables accurate reproduction of natural convection, providing a more solid base for CFD studies on hydrothermal units. The results provide valuable insights into the reactor's inner mixing, which for pure water appears adequate despite the absence of stirring. Additionally, we explore two approaches to include a biomass fixed bed or a non-Newtonian sludge. Discussing future efforts needed to make the simulation of such media more established, we show that their presence may indeed hinder mixing, with implications for the products' quality and safety and for hydrothermal processing control and design.

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Section: Resultsmentioning

confidence: 99%

Section: T H I S C O N T E N T I S O N L Y L I C E N S E D F O R C O ...mentioning

confidence: 99%

Mixing Due to Natural Convection in a Hydrothermal Reactor: A CFD Study

Marchelli,

Fiori

2024

Ind. Eng. Chem. Res.

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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model

Fajobi

Lasode

Adeleke

et al. 2023

Journal of Engineering

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One of the major challenges confronting researchers is how to predict biogas yield because it is a herculean task since research in the field of modeling and optimization of biogas yield is still limited, especially with the adaptive neuro-fuzzy inference system (ANFIS). This study used ANFIS to model and predict biogas yield from anaerobic codigestion of cow dung, mango pulp, and Chromolaena odorata. Asides from the controls, 13 experiments using various agglomerates of the selected substrates were carried out. Cumulatively (for 40 days), the agglomerate that comprised 50% cow dung, 25% mango pulp, and 25% Chromolaena odorata produced the highest volume of biogas, 4750 m3/kg, while the one with 50% cow dung, 12.5% mango pulp, and 37.5% Chromolaena odorata produced the lowest volume of biogas, 630 m3/kg. The data articulated for modeling were those of the optimum biogas yield. Data implemented for modeling comprised two inputs (temperature in Kelvin and pressure in kN/m2) and one output (biogas yield). The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. The developed ANFIS architecture was simulated at varied membership functions, MFs, and epoch numbers to determine the minimum root mean square error, RMSE, and maximum R-squared R2 values. The one that fulfilled the conditions was considered to be the optimized model. The minimum RMSE and maximum R2 values recorded for the developed model are 14.37 and 0.99784, respectively. The implication is that the model was able to efficiently predict not less than 99.78% of the experimental data. These results prove that the ANFIS model is a reliable tool for modeling data and predicting biogas yield in the biomass anaerobic digestion process. Therefore, the use of the developed ANFIS model is recommended for biogas producers and other allies for predicting biogas yield adequately.

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Effect of Compost Derived from Urban Waste on Chard (Beta vulgaris L., var cycla) Yield and Soil GHG Fluxes in a Mediterranean Agricultural System

et al. 2023

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The use of recycled materials as soil amendments and fertilizers is an important priority in the agronomic sector to valorize waste from a circular economic perspective and reduce waste disposal, reduce dependence on external inputs, and provide better climate change mitigation options. In this study, we evaluated the agroecological performance of compost derived from recycled organic matrices of urban waste (mixed composted amendment, MCA) of the metropolitan area of Rome. MCA is available in big quantities and might represent an interesting option to substitute conventional mineral nitrogen fertilizer (CF). The effect of MCA, CF, and a combination of both (MIX 1:1) was tested on crop yield and greenhouse gas emissions in a field trial on a common Mediterranean crop (Swiss chart, one season, two crop cycles). The MCA effect on crop yield was positive and comparable to CF and MIX treatments, while MCA treatment showed the lower soil mineral nitrogen (N) content. GHG emissions in the MCA treatment were comparable to those observed in CF and MIX, being overall quite low. The soil acted as a weak net CH4 sink in all treatments (−12.6 ± 6.1 μg CH4 m−2 h−1); no differences in CO2 emissions between MCA and CF or MIX treatments were observed (range 0.1−0.2 g m−2 h−1). The N2O emission intensity of MCA was slightly lower than MIX and CF treatments (0.09, 0.011, and 0.011 g N2O kg−1 crop dry weight, respectively). Overall, MCA seemed a valid alternative to CF for the tested agro-environmental indicators in the spring/summer Mediterranean conditions.

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Investigating the Enhancement in Biogas Production by Hydrothermal Carbonization of Organic Solid Waste and Digestate in an Inter-Stage Treatment Configuration

Cited by 4 publications

References 38 publications

Mixing Due to Natural Convection in a Hydrothermal Reactor: A CFD Study

Mixing Due to Natural Convection in a Hydrothermal Reactor: A CFD Study

Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model

Effect of Compost Derived from Urban Waste on Chard (Beta vulgaris L., var cycla) Yield and Soil GHG Fluxes in a Mediterranean Agricultural System

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