Efficient Biogas Production through Process Simulation

Blesgen, A.; Hass, Volker C.

doi:10.1021/ef9012483

Cited by 25 publications

(21 citation statements)

References 29 publications

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“…An OTS system developed by s&h Ingenieurgesellschaft mbH (Bremen, Germany) was in cooperation with University of Applied Sciences Bremen (Germany) further developed into the simulator application BioProcessTrainer (BPT). The BPT provides a virtual operator environment for industrial bioreactor processes based on previously developed mathematical models that describe the behaviour of the biological system and the physical state of the bioreactor . These models are integrated as dynamic link libraries (DLLs) into the modular process control and simulation system WinErs (manufactured and supplied by Ingenieurbüro Dr.‐Ing.…”

Section: Methodsmentioning

confidence: 99%

Virtual bioreactor cultivation for operator training and simulation: application to ethanol and protein production

Gerlach

Hass

Brüning

et al. 2013

J of Chemical Tech & Biotech

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BACKGROUND During recent years several computer‐based operator training simulators (OTS) have been developed that are suitable for the virtual training of operators and other professionals. In the field of bioprocess engineering OTS are rarely used. Furthermore, the effects of using training simulators in bioprocess applications have not been evaluated. RESULTS The OTS BioProcessTrainer was applied to bioreactor operations for two biological processes, Saccharomyces cerevisiae, for ethanol production, and recombinant Escherichia coli, for production of green fluorescence protein (GFP). The simulator used a multi‐shell model platform that described the biological and physical conditions of the bioreactor for the two bioprocess systems. The simulator enabled the user to plan, operate and control the processes in real or accelerated time. The training resulted in improved ability to manage the whole bioreactor procedure for the two processes. CONCLUSION The study showed that the simulator can be an efficient tool for training of operation, optimization and control of bioprocesses. The mathematical model framework of the simulator can be adapted to a variety of industrial bioprocesses. Thus, it appears likely that this type of OTS may serve as a useful resource in industry for training and continuing education of plant operators and engineers. © 2013 Society of Chemical Industry

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Section: Methodsmentioning

confidence: 99%

Virtual bioreactor cultivation for operator training and simulation: application to ethanol and protein production

Gerlach

Hass

Brüning

et al. 2013

J of Chemical Tech & Biotech

Self Cite

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“…The important parameter such as pH and temperature determines the amount of ammonia released in the system, and the rate of ionization of ammonia affects the methanogenesis process. The complex models involving the inhibitions were developed by (Angelidaki et Recently, a computational model was proposed by Blesgen and Hass (2010), based on submodels, including biological factors, physico-chemical factors, reactors, and plants. Most of the models developed were either theoretical or mathematical.…”

Section: Introductionmentioning

confidence: 99%

A novel process simulation model (PSM) for anaerobic digestion using Aspen Plus

Rajendran

Kankanala

Lundin

et al. 2014

Bioresource Technology

114

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Please cite this article as: Rajendran, K., Kankanala, H.R., Lundin, M., Taherzadeh, M.J., A Novel Process Simulation Model (PSM) for Anaerobic Digestion Using Aspen Plus, Bioresource Technology (2014), doi: http:// dx.doi.org/10. 1016/j.biortech.2014.01.051 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractA novel process simulation model (PSM) was developed for biogas production in anaerobic digesters using AspenPlus ® . The PSM is a library model of anaerobic digestion, which predicts the biogas production from any substrate at any given process condition. A total of 46 reactions were used in the model, which include inhibitions, rate-kinetics, pH, ammonia, volume, loading rate, and retention time. The hydrolysis reactions were based on the extent of the reaction, while the acidogenic, acetogenic, and methanogenic reactions were based on the kinetics. The PSM was validated against a variety of lab and industrial data on anaerobic digestion. The P-value after statistical analysis was found to be 0.701, which showed that there was no significant difference between discrete validations and processing conditions.The sensitivity analysis for a ±10% change in composition of substrate and extent of reaction results in 5.285% higher value than the experimental value. The model is available at http://hdl.handle.net/2320/12358 (Rajendran et al., 2013b).

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“…Followed by the on-site use of biogas, the problem involves the limited supply resulting from underproduction and peak energy periods. The biogas yield varies dramatically with ambient temperature conditions and varying fermenting materials [20,21], which results in insufficient biogas productivity versus the gas demand during the winter period [22,23]. Furthermore, residential energy consumption may push biogas demands above the capacity of the CBP during peak hours.…”

Section: Introductionmentioning

confidence: 99%

LNG–Air Mixture as a Supplementary Energy Injection into a Biogas Distribution Network

et al. 2017

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Abstract:Biogas production efficiency fluctuates with climate variations and agricultural arrangements, which pose a limiting factor upon its single supply to end users via a regional exclusive network, especially in peak demand. In this paper, an appropriate methodology to address the contradiction between biogas supply and demand is proposed. Methane conditioned by the addition of air is described, and can be a supplementary energy injected into a biogas distribution network. To accomplish the mixing process and also inject the exhaust mixture into the distribution system, a mixer-ejector was introduced and integrated into the biogas grid. Finally, the fundamental combustion behaviors of mixed gases were estimated through the analysis of flame appearance, contamination emissions, and the flame stability region. The results showed that the methane/air mixture with a mixing ratio ranging from 49/51 to 53/47 could interchange biogas commendably, and good combustion behavior was obtained on a typical biogas-burning appliance.

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Efficient Biogas Production through Process Simulation

Cited by 25 publications

References 29 publications

Virtual bioreactor cultivation for operator training and simulation: application to ethanol and protein production

Virtual bioreactor cultivation for operator training and simulation: application to ethanol and protein production

A novel process simulation model (PSM) for anaerobic digestion using Aspen Plus

LNG–Air Mixture as a Supplementary Energy Injection into a Biogas Distribution Network

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