Design and optimization principles of biogas reactors in large scale applications

Teng, Ziyan; Hua, Jing; Wang, Changsong; Lü, Xiaohua

doi:10.1016/b978-0-444-59566-9.00004-1

Cited by 23 publications

(9 citation statements)

References 68 publications

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“…The pH initial values in all reactors ranged from 7.76 to 8.35, which could be suitable for the anaerobic digestion process. The main drawback of the anaerobic digestion process could be the low pH, which negatively affects the methanogenesis phase, since the microorganisms that carry out the digestive process are highly sensitive to it [32]. In the literature, contradictory results have been found at alkaline pH.…”

Section: Biogas Production From Anaerobic Digestion Of Raw Microalgae and Microalgae Residues With Sewage Sludgementioning

confidence: 99%

Biogas production from anaerobic digestion of solid microalgae residues generated on different processes of microalgae-to-biofuel production

Torres

Padrino

Brito

et al. 2021

Biomass Conv. Bioref.

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In this work, the anaerobic digestion of three microalgae (Chlorella sp., Nannochloropsis sp., and Scenedesmus sp.) and their residues, resulting from the oil extraction process and the in situ transesterification reaction for biodiesel production, using two inoculums (sewage sludge and poultry manure) for biogas production was investigated. It was found that the biogas production from digestion of oil-extracted microalgae residue with sewage sludge reached values similar to those obtained with raw microalgae (around 500 NL kg−1 VS). Both the volume of biogas generated from the microalgae residue from the extraction process of its oil and the quality of the biogas produced reflect the value of this residue to be valorized by anaerobic digestion. This approach based on a biorefinery concept and focusing on the anaerobic digestion process could be a key technology for energy production from biomass.

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Section: Biogas Production From Anaerobic Digestion Of Raw Microalgae and Microalgae Residues With Sewage Sludgementioning

confidence: 99%

Biogas production from anaerobic digestion of solid microalgae residues generated on different processes of microalgae-to-biofuel production

Torres

Padrino

Brito

et al. 2021

Biomass Conv. Bioref.

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“…Strategies like switching from continuous to intermittent mixing mode could save over 25% of the energy demand and ensure higher plant productivity [173]. Additionaly, using innovative technologies such as a gas-lifting reactor (that works on biogas's rising tendency for partial recirculation and digester's agitation) can provide the effect of mixing without requiring a mixer, and has been shown to result in improved plant economies [174]. Two innovative mixing configurations operating with the airlifting mixing concept are shown in Figure 5.…”

Section: Mixingmentioning

confidence: 99%

A Review of the Role of Critical Parameters in the Design and Operation of Biogas Production Plants

et al. 2019

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Many operating parameters, individually or together, may influence the performance of anaerobic digestion towards biogas or digestate yield and quality maximization. The most preferred method of optimizing an anaerobic digestion plant often relies on how carefully the crucial parameters, such as pH, temperature, organic loading rate, hydraulic retention time, and pressure, are chosen. There is a large amount of literature available on optimization of anaerobic digestion; however, given the continued development and implementation of innovative technologies, together with the introduction of increasingly complex systems, it is necessary to update present knowledge on process parameters and their role on operational ranges and flexibilities in real-life anaerobic digestion system. Accordingly, the present review discusses the importance of the selection of operational parameters in existing technologies and their impact on biogas yield. Notably, the four broad areas of feedstock utilization (substrate, inoculum, codigestion and pretreatment), process condition (pH, temperature, pressure, and reactor design), reactor control (HRT and OLR) and inhibition (Ammonia and VFAs) are covered in this review. In addition, particular emphasis is placed on the most recent innovations that have been or may be implemented in current or future biogas plants.

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“…Meanwhile, several factors associated with on-farm ADs could affect biogas production, such as design and type of digesters, HRT, uctuation of temperature, change of animal diet, etc. [55][56][57] , that might reduce model accuracy. Therefore, a comparison of data generated from the model with actual biogas production is necessary to improve model performance for the on-farm application.…”

Section: Limitations Prediction Model and Decision-support Toolmentioning

confidence: 99%

Use of regression models for development of a simple and effective biogas decision-support tool

Duong

Lim

2022

Preprint

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Anaerobic digestion (AD) is an alternative way to treat manure while producing biogas as a renewable fuel. To increase the efficiency of AD performance, accurate prediction of biogas yield in difference working conditions is necessary. In this study, regression models were developed to estimate biogas production for co-digesting swine manure (SM) and waste kitchen oil (WKO) at mesophilic temperatures. Dataset was collected from the semi-continuous AD studies across nine treatments of SM and WKO, evaluated at 30, 35 and 40°C. Application of polynomial regression models and variable interactions with selected data resulted in an adjusted R2 value of 0.9656, much higher than the simple linear regression model (R2 = 0.7167). Significance of the model was observed with the mean absolute percentage error score at 4.16%. Biogas estimation using the final model resulted in the difference between predicted and actual values from 0.2–6.7%, except one treatment which was 9.8% different than observed. A spreadsheet was created to estimate biogas production and other operation factors using substrate loading rates and temperature settings. This user-friendly program can be used as a decision-support tool for providing recommendations of some working conditions and estimation of the biogas yield under different scenarios.

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Design and optimization principles of biogas reactors in large scale applications

Cited by 23 publications

References 68 publications

Biogas production from anaerobic digestion of solid microalgae residues generated on different processes of microalgae-to-biofuel production

Biogas production from anaerobic digestion of solid microalgae residues generated on different processes of microalgae-to-biofuel production

A Review of the Role of Critical Parameters in the Design and Operation of Biogas Production Plants

Use of regression models for development of a simple and effective biogas decision-support tool

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