Mathematical model of a laboratory-scale plant for slaughterhouse effluents biodigestion for biogas production

Martínez, Ernesto; Marcos, Alfonso; Al-Kassir, A.; Jaramillo, M.A.; Mohamad, A. A.

doi:10.1016/j.apenergy.2012.02.028

Cited by 25 publications

(10 citation statements)

References 20 publications

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“…The main outcome of the AD process is the production of methane (50-75%), carbon dioxide (19-34%), and a small portion of biohydrogen (<1%) [7,12]. Methane from AD can be utilized as an energy source alternative to fossil fuels; the energy capacity can vary, depending on the type of waste, from 20 to 300 kWh of net energy per ton of waste [7,13,14]. According to the ministry of agriculture of Ontario, 48 kWh from dairy manure and 335 kWh from corn silage was obtained in 2016.…”

Section: Introductionmentioning

confidence: 99%

A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration

et al. 2019

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Recent studies have shown that anaerobic co-digestion (AnCoD) is superior to conventional anaerobic digestion (AD). The benefits of enhanced bioenergy production and solids reduction using co-substrates have attracted researchers to study the co-digestion technology and to better understand the effect of multi substrates on digester performance. This review will discuss the results of such studies with the main focus on: (1) generally the advantages of co-digestion over mono-digestion in terms of system stability, bioenergy, and solids reduction; (2) microbial consortia diversity and their synergistic impact on biogas improvement; (3) the effect of digester mode, i.e., multi-stage versus single stage digestion on AnCoD. It is essential to note that the studies reported improvement in the synergy and diverse microbial consortia when using co-digestion technologies, in addition to higher biomethane yield when using two-stage mode. A good example would be the co-digestion of biodiesel waste and glycerin with municipal waste sludge in a two-stage reactor resulting in 100% increase of biogas and 120% increase in the methane content of the produced biogas with microbial population dominated by Methanosaeta and Methanomicrobium.

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Section: Introductionmentioning

confidence: 99%

A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration

et al. 2019

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“…Other studies addressed modeling of the process [13,24] or innovative applications such as anaerobic membrane reactors or membrane contactor systems [25][26][27].…”

Section: Generalmentioning

confidence: 99%

Energy self-supply of large abattoir by sustainable waste utilization based on anaerobic mono-digestion

et al. 2015

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“…Since the estimation of biogas potential and its generation pattern is essential in assessment of any AD project, a great number of research works have been concerned with the modeling of biogas and/or methane generation trend as the main measure for the process characterization from which, the review work of Lauwers et al [4] presented a general outlook to the so far available models with emphasize on the anaerobic digestion model No.1 (ADM1) which was developed by International Water Association (IWA) in 2002. Furthermore, attempts on developing less sophisticated models by the purpose of determining the rate constants and defining the bio-kinetics of biogas generation process have been performed by several researchers such as Koch and Drewes [5], Martinez and co-workers [6], or Pham et al [7]. Application of multi-stage consecutive reaction mechanism in kinetic modeling of biogas generation is an alternative method to the frequently used procedures.…”

Section: Introductionmentioning

confidence: 99%

Examining a Pretty Simple and Low Cost Method for Modeling of Biogas Production from Biodegradable Solids

2015

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This paper evaluates the application of consecutive multistage first order kinetics for mathematical modeling of biogas generation trend during anaerobic digestion (AD) of typical farm-based biodegradable solids within batch reactors. The input parameters of the model are mass of biodegradables (as VM), initial content of total volatile fatty acids (TVFA) and recorded values of biogas or methane production. Multistage consecutive equations of first order reaction in combination with numerical solution procedure for multi-parameter differential equations can provide a pretty high precision modeling of biogas production and consequently estimation of achievable energy from biodegradable solids even though it is less sophisticated than frequently used AD models. Four types of biodegradable solids including pig feces, hot water-treated cotton stalks, rice straw and dairy manure were examined through bench-scale experiments at mesophilic conditions in order to determine the biogas production potential as well as the first order kinetic constants for consecutive stages of the process. All modeling trials produced reasonable output regarding the fitting between model predicted values and experimental results. The best fitted first order rate constants of hydrolysis, acidogenesis and methanogensis obtained from the observed data were in the range of 0.022 to 0.105 d -1 , 0.106 to 0.970d -1 , and 0.140 to 2.300d -1 respectively. Determination of initial content of volatile fatty acids could increase the goodness of fit between the model and experimental data. The proposed modeling procedure can predict the biogas generation trend within 10% accuracy.

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Mathematical model of a laboratory-scale plant for slaughterhouse effluents biodigestion for biogas production

Cited by 25 publications

References 20 publications

A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration

A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration

Energy self-supply of large abattoir by sustainable waste utilization based on anaerobic mono-digestion

Examining a Pretty Simple and Low Cost Method for Modeling of Biogas Production from Biodegradable Solids

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