Evaluation of methods for estimating energy performance of biogas production

Havukainen, Jouni; Uusitalo, Ville; Niskanen, Antti; Kapustina, Viktoriia; Horttanainen, Mika

doi:10.1016/j.renene.2013.12.011

Cited by 69 publications

(47 citation statements)

References 21 publications

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“…However, there is still an upward trend in the use of this kind of waste. The main industries with biogas generation potential are pulp and paper, sugar and ethanol, abattoirs, dairy, breweries, food, and drink, all of which need to reduce the organic load of their effluents to comply with environmental legislation [27]. Four hundred and twenty-one publications addressing this kind of waste for AD were retrieved, demonstrating that research in the production of gas from industrial waste is still incipient.…”

Section: Other Groupsmentioning

confidence: 99%

Mapping of the Use of Waste as Raw Materials for Biogas Production

Grando¹,

Fonseca²,

Antunes³

2017

JEP

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Anthropic methane emissions can largely be prevented or minimized using technologies that are already available. One such technology is anaerobic digestion (AD), which is used commercially around the world, especially in Europe and the United States, where some challenging targets have been set to diversify the energy mix with more renewable energy. This foresight study was designed to identify which technological solutions out of the many options available for biogas production are attracting most interest, for which purpose patent documents and scientific publications were analyzed. The aim is to identify which raw materials are most attractive for AD and biogas production. It was found that the raw materials that have attracted most research and patenting activity are sludge, sewage, and wastewater, livestock waste, and agriculture waste, which together account for 62% of all the patents filed and 74% of all the scientific publications. The countries most engaged in producing biogas from AD plants are China, Germany, and the United States. We also identified a rising trend in the use of biogas around the world, and a steady increase in the number of patents filed on the subject, especially in Japan and South Korea. This growth is driven, amongst other things, by strategic governmental actions, global environmental pacts, and the realization on the part of industry that anaerobic digestion can be used as an efficient method for treating waste and effluents.

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Section: Other Groupsmentioning

confidence: 99%

Mapping of the Use of Waste as Raw Materials for Biogas Production

Grando¹,

Fonseca²,

Antunes³

2017

JEP

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“…In a properly operated anaerobic digester, the pH is maintained between 6.8 and 7.2, as the volatile acids are converted into methane (CH 4 ) and carbon dioxide (CO 2 ). The pH of an anaerobic digestion process is significantly affected by the CO 2 content of the biogas [21,30,31]. Figure 4 shows the variation of pH with five days' average of the total digestion time.…”

Section: Effect Of Phmentioning

confidence: 99%

An Artificial Neural Network and Genetic Algorithm Optimized Model for Biogas Production from Co-digestion of Seed Cake of Karanja and Cattle Dung

Barik

Murugan

2015

Waste Biomass Valor

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In this study, experiments were conducted with four different proportions of seed cake of Karanja (SCK) and cattle dung (CD) mixture, for biogas production. 75, 50 and 25 % of the SCK on a mass basis were mixed with 25, 50 and 75 % of the CD and, named as S 1 , S 2 and S 3 . For comparison, biogas obtained from 100 % CD (S 4 ) was considered. The samples were kept in four different reactors, for 30 days of observation, and the yield of biogas from the samples S 1 , S 2 and S 3 was evaluated. Modeling was carried out for prediction and optimization of biogas production using ANN (artificial neural network) and the GA (genetic algorithm). A multi-layered feed-forward network with hidden neurons and linear output neurons was used for training the network using the input parameters pH, digestion time and C/N ratio for the yield of biogas. The performance of the neural network model was verified, and the correlation coefficients were found to be close to 1, for the samples. The experimental results on the biogas production were validated with the results of the neural network and optimized with the GA. The GA optimized values for pH, digestion time, and the C/N ratio of sample S 3 were found to be 6.68, 14.22 days and 24.1:1, respectively. These optimized data can be used to monitor a large scale anaerobic plant. Among all samples, S 3 gave a better result with respect to the pH, C/N (carbon/nitrogen) ratio, digestion time and biogas yield.

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“…They are characterized by high energy-economic indicators, reliable performance, quiet operation, mobility, lack of harmful emissions, etc. Fuel cells can be used as stationary and emergency backup power supply in autonomous systems [3][4][5][6][7]. For loads from a few kilowatts to several hundred kilowatts (consumers in a low housing estate) it is preferred application of low-temperature fuel cells that run on hydrogen.…”

Section: Introductionmentioning

confidence: 99%

Technological Decision to Renewable Energy Usage Biogas for Off-grid Systems Consumption

et al. 2016

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Abstract. This paper presents the results of the energy experiments based on electrochemical researches and the thermodynamic calculations, which are carried out on the hydrogenous fuel with the residual content of methane obtained from biogas selected organic waste. Energy indicators are examined in comparison to electrolysis hydrogen. The use of technical and electro physical indicators together with parameters of the fuel operating allowed assessing energy efficiency the module reformer -fuel cell running on a non-standard hydrogenous fuel. Numerical characteristic the efficiency of workflows fuel system reformer -fuel cell is about 39%. To operate the power installation with a predetermined capacity amount used of hydrogenous fuel is comparable to required electrolysis hydrogen amount. Shown the possibility of creation the systems of power supply based on new hydrogen technologies using renewable energy resources local waste. Confirms the relatively high efficiency the usage of hydrogenous fuel for the tasks of off-grid systems consumption.

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Evaluation of methods for estimating energy performance of biogas production

Cited by 69 publications

References 21 publications

Mapping of the Use of Waste as Raw Materials for Biogas Production

Mapping of the Use of Waste as Raw Materials for Biogas Production

An Artificial Neural Network and Genetic Algorithm Optimized Model for Biogas Production from Co-digestion of Seed Cake of Karanja and Cattle Dung

Technological Decision to Renewable Energy Usage Biogas for Off-grid Systems Consumption

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