Biochemical Methane Potential of Agricultural Waste Biomass

The effect of ultrasonic pretreatment on biogas production from rice straw was investigated. Results showed that the application of 37 and 102 kHz resulted in a reduction of hemicellulose about 25.78% and 20.82%, respectively. An increase in the power level and exposition time decreased the hemicellulose content. The biochemical methane potential values at 37 kHz and 102 kHz of the pretreated rice straw for a period of 45 days were 250.36 and 243.79 mL CH4 g VS-1added, which were about 21.95% and 18.75% increase compared to the unpretreated one, respectively. The pretreatment with 37 kHz has provided a better methane yield compared to the one with 102 kHz. Response surface methodology indicated a positive result toward the methane yield and production rate. The utilization of ultrasonic pretreatment toward rice straw for biogas production seems to provide a solution to help solving the problems of both agricultural waste and renewable energy.

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Assessment of the biogas potential from agricultural waste in northern Thailand

Maejo International Journal of Energy and Environmental Communication ◽

10.54279/mijeec.v1i1.244899 ◽

2019 ◽

Vol 1 (1) ◽

pp. 40-47

Author(s):

Jiraporn Kaewdiew ◽

Rameshprabu Ramaraj ◽

Sirichai Koonaphapdeelert ◽

Natthawud Dussadee

Keyword(s):

Biogas Production ◽

Agricultural Waste ◽

Waste Utilization ◽

Agricultural Products ◽

Waste Generation ◽

Corn Cob ◽

Biochemical Methane Potential ◽

Northern Thailand ◽

Biogas Yield ◽

Methane Potential

In 2014-2015, there was approximately 26,823.44 x106 kg of the residue leftover from agricultural products in Northern Thailand and roughly 18,943.57x106 kg or 70.62% were left unutilized. The aim of this research was to survey and calculate the proportion of agricultural area and products as well as their corresponding waste towards potential of biogas production using biochemical methane potential (BMP) method. The results showed that rice straw was the most promising feedstock for methane production with the highest biogas yield of 363 mlN /gVSadded followed by sugarcane leaves and corn cob having 333 and 318 mlN/gVSadded, respectively. Additionally, the predicted areas for growing rice and corn decreased. Meanwhile areas for growing cassava, sugarcane and oil palm increase slightly. This study also found out that the unused agricultural waste generation was decreased due to improved waste utilization.

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INFLUENCE OF FREEZING/THAWING AND DRYING/MILLING ON BIOCHEMICAL METHANE POTENTIAL

Environmental Engineering and Management Journal ◽

10.30638/eemj.2016.165 ◽

2016 ◽

Vol 15 (7) ◽

pp. 1533-1536

Author(s):

Jin Mi Triolo ◽

Sven Gjedde Sommer ◽

Lene Pedersen

Keyword(s):

Biochemical Methane Potential ◽

Methane Potential

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Pyrolysis of agricultural waste biomass towards production of gas fuel and high-quality char: Experimental and numerical investigations

Fuel ◽

10.1016/j.fuel.2021.120611 ◽

2021 ◽

Vol 296 ◽

pp. 120611

Author(s):

Agata Mlonka-Mędrala ◽

Panagiotis Evangelopoulos ◽

Małgorzata Sieradzka ◽

Monika Zajemska ◽

Aneta Magdziarz

Keyword(s):

Agricultural Waste ◽

Waste Biomass ◽

High Quality ◽

Numerical Investigations ◽

Gas Fuel

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Batch Anaerobic Co-Digestion and Biochemical Methane Potential Analysis of Goat Manure and Food Waste

Energies ◽

10.3390/en14071952 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1952

Author(s):

Ayobami Orangun ◽

Harjinder Kaur ◽

Raghava R. Kommalapati

Keyword(s):

Food Waste ◽

Gompertz Model ◽

Water Displacement ◽

Biochemical Methane Potential ◽

Greenhouse Gasses ◽

Nonlinear Regression Models ◽

The Us ◽

Methane Potential ◽

Goat Manure ◽

Modified Gompertz Model

The improper management of goat manure from concentrated goat feeding operations and food waste leads to the emission of greenhouse gasses and water pollution in the US. The wastes were collected from the International Goat Research Center and a dining facility at Prairie View A&M University. The biochemical methane potential of these two substrates in mono and co-digestion at varied proportions was determined in triplicates and processes were evaluated using two nonlinear regression models. The experiments were conducted at 36 ± 1 °C with an inoculum to substrate ratio of 2.0. The biomethane was measured by water displacement method (pH 10:30), absorbing carbon dioxide. The cumulative yields in goat manure and food waste mono-digestions were 169.7 and 206.0 mL/gVS, respectively. Among co-digestion, 60% goat manure achieved the highest biomethane yields of 380.5 mL/gVS. The biodegradabilities of 33.5 and 65.7% were observed in goat manure and food waste mono-digestions, while 97.4% were observed in the co-digestion having 60% goat manure. The modified Gompertz model is an excellent fit in simulating the anaerobic digestion of food waste and goat manure substrates. These findings provide useful insights into the co-digestion of these substrates.

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Purification of dye-contaminated ethanol-water mixture using magnetic cellulose powders derived from agricultural waste biomass

Carbohydrate Polymers ◽

10.1016/j.carbpol.2021.117690 ◽

2021 ◽

Vol 258 ◽

pp. 117690

Author(s):

Sijie Zhou ◽

Liangjun Xia ◽

Zhuan Fu ◽

Chunhua Zhang ◽

Xiangyu Duan ◽

...

Keyword(s):

Agricultural Waste ◽

Water Mixture ◽

Waste Biomass

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Rapid Biochemical Methane Potential Evaluation of Anaerobic Co-Digestion Feedstocks Based on Near Infrared Spectroscopy and Chemometrics

Energies ◽

10.3390/en14051460 ◽

2021 ◽

Vol 14 (5) ◽

pp. 1460

Author(s):

Jinming Liu ◽

Changhao Zeng ◽

Na Wang ◽

Jianfei Shi ◽

Bo Zhang ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Variable Selection ◽

Root Mean Square Error ◽

Least Squares ◽

Mean Square Error ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Mean Square ◽

Biochemical Methane Potential ◽

Methane Potential

Biochemical methane potential (BMP) of anaerobic co-digestion (co-AD) feedstocks is an essential basis for optimizing ratios of materials. Given the time-consuming shortage of conventional BMP tests, a rapid estimated method was proposed for BMP of co-AD—with straw and feces as feedstocks—based on near infrared spectroscopy (NIRS) combined with chemometrics. Partial least squares with several variable selection algorithms were used for establishing calibration models. Variable selection methods were constructed by the genetic simulated annealing algorithm (GSA) combined with interval partial least squares (iPLS), synergy iPLS, backward iPLS, and competitive adaptive reweighted sampling (CARS), respectively. By comparing the modeling performances of characteristic wavelengths selected by different algorithms, it was found that the model constructed using 57 characteristic wavelengths selected by CARS-GSA had the best prediction accuracy. For the validation set, the determination coefficient, root mean square error and relative root mean square error of the CARS-GSA model were 0.984, 6.293 and 2.600, respectively. The result shows that the NIRS regression model—constructed with characteristic wavelengths, selected by CARS-GSA—can meet actual detection requirements. Based on a large number of samples collected, the method proposed in this study can realize the rapid and accurate determination of the BMP for co-AD raw materials in biogas engineering.

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Biochemical Methane Potential of Cork Boiling Wastewater at Different Inoculum to Substrate Ratios

Applied Sciences ◽

10.3390/app11073064 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3064

Author(s):

Roberta Mota-Panizio ◽

Manuel Jesús Hermoso-Orzáez ◽

Luis Carmo-Calado ◽

Gonçalo Lourinho ◽

Paulo Sérgio Duque de Brito

Keyword(s):

Anaerobic Digestion ◽

Biogas Production ◽

Treatment Plant ◽

Organic Substrates ◽

Biochemical Methane Potential ◽

Volatile Solids ◽

Working Volume ◽

Methane Potential ◽

Bmp Test ◽

Cork Industry

The present study evaluates the digestion of cork boiling wastewater (CBW) through a biochemical methane potential (BMP) test. BMP assays were carried out with a working volume of 600 mL at a constant mesophilic temperature (35 °C). The experiment bottles contained CBW and inoculum (digested sludge from a wastewater treatment plant (WWTP)), with a ratio of inoculum/substrate (Ino/CBW) of 1:1 and 2:1 on the basis of volatile solids (VSs); the codigestion with food waste (FW) had a ratio of 2/0.7:0.3 (Ino/CBW:FW) and the codigestion with cow manure (CM) had a ratio of 2/0.5:0.5 (Ino/CBW:CM). Biogas and methane production was proportional to the inoculum substrate ratio (ISR) used. BMP tests have proved to be valuable for inferring the adequacy of anaerobic digestion to treat wastewater from the cork industry. The results indicate that the biomethane potential of CBWs for Ino/CBW ratios 1:1 and 2:1 is very low compared to other organic substrates. For the codigestion tests, the test with the Ino/CBW:CM ratio of 2/0.7:0.3 showed better biomethane yields, being in the expected values. This demonstrated that it is possible to perform the anaerobic digestion (AD) of CBW using a cosubstrate to increase biogas production and biomethane and to improve the quality of the final digestate.

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Optimizing anaerobic co-digestion of goat manure and cotton gin trash using biochemical methane potential (BMP) test and mathematical modeling

SN Applied Sciences ◽

10.1007/s42452-021-04706-1 ◽

2021 ◽

Vol 3 (8) ◽

Author(s):

Harjinder Kaur ◽

Raghava R. Kommalapati

Keyword(s):

Liquid Fraction ◽

Gompertz Model ◽

Biochemical Methane Potential ◽

Methane Potential ◽

Mathematical Equations ◽

Goat Manure ◽

Bmp Test ◽

Batch Bioreactors ◽

Modified Gompertz Model ◽

Cotton Gin

AbstractAnaerobic co-digestion is widely adopted to enhance process efficacy by balancing the C/N ratio of the feedstock while converting organic wastes to biomethane. Goat manure (GM) and cotton gin trash (CGT) were anaerobically co-digested in triplicate batch bioreactors. The process was optimized and evaluated utilizing mathematical equations. The liquid fraction of the digestate was analyzed for nitrate and phosphate. The co-digestions with 10 and 20% CGT having the C/N ratios of 17.7 and 19.8 yielded the highest and statistically similar 261.4 ± 4.8 and 262.6 ± 4.2 mL/gvs biomethane, respectively. The biodegradability (BD) of GM and CGT was 94.5 ± 2.7 and 37.6 ± 0.8%, respectively. The BD decreased proportionally with an increase in CGT percentage. The co-digestion having 10% CGT yielded 80–90% of biomethane in 26–39 d. The modified Gompertz model-predicted and experimental biomethane values were similar. The highest synergistic effect index of 15.6 ± 4.7% was observed in GM/CGT; 30:70 co-digestion. The concentration of nitrate and phosphate was lower in the liquid fraction of digestate than the feedstocks, indicating that these nutrients stay in the solid fraction. The results provide important insights in agro-waste management, further studies determining the effects of effluent application on plants need to be conducted.

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