Control of Anaerobic Digestion Process

Collins, Aaron; Gilliland, B. E.

doi:10.1061/jeegav.0000174

Cited by 12 publications

(2 citation statements)

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“…Noting that model uncertainty comprises parametric uncertainty and structural uncertainty, and both model inputs and experimental observations are subject to measurement uncertainty, then it is generally accepted that the model predictions are not a perfect representation of reality [34]. In turn, this acknowledgment of uncertainty laid the foundation for model-based process control of bioengineering systems such as the activated sludge process and anaerobic digestion [34][35][36][37][38]. This was a momentous leap-forward in the early days of programmatic computing, especially as industry and academia were starting to coalesce around methods for incorporation of Instrumentation, Control and Automation (ICA) technology for the improvement of biological treatment processes [39,40].…”

Section: A First-principles Engineering Approach To Modelling Anaerobic Digestionmentioning

confidence: 99%

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Wade

2020

Processes

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Mathematical modelling of bioprocesses has a long and notable history, with eminent contributions from fields including microbiology, ecology, biophysics, chemistry, statistics, control theory and mathematical theory. This richness of ideas and breadth of concepts provide great motivation for inquisitive engineers and intrepid scientists to try their hand at modelling, and this collaboration of disciplines has also delivered significant milestones in the quality and application of models for both theoretical and practical interrogation of engineered biological systems. The focus of this review is the anaerobic digestion process, which, as a technology that has come in and out of fashion, remains a fundamental process for addressing the global climate emergency. Whether with conventional anaerobic digestion systems, biorefineries, or other anaerobic technologies, mathematical models are important tools that are used to design, monitor, control and optimise the process. Both highly structured, mechanistic models and data-driven approaches have been used extensively over half a decade, but recent advances in computational capacity, scientific understanding and diversity and quality of process data, presents an opportunity for the development of new modelling paradigms, augmentation of existing methods, or even incorporation of tools from other disciplines, to ensure that anaerobic digestion research can remain resilient and relevant in the face of emerging and future challenges.

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Section: A First-principles Engineering Approach To Modelling Anaerobic Digestionmentioning

confidence: 99%

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Wade

2020

Processes

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“…This simplification may not be appropri- ate in all cases, however, and multiplespecies models, comprising acidforming (facultative heterotrophs) and methane-forming (obligate anaerobes) bacterial cultures have since been developed (114)(115)(116)(117). Many authors have used the Andrews model and its derivatives to evaluate the performance and control of anaerobic digesters (118)(119)(120)(121). Further refinements of description have been proposed by Torre and Stephanopoulos (122) whose model has the following features:…”

Section: Sludge Treatmentmentioning

confidence: 99%

Dynamic modeling of wastewater treatment processes

Lessard¹,

Beck²

1991

Environ. Sci. Technol.

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Methane fermentation of brewery by‐products

Keenan

Kormi

1977

Biotech & Bioengineering

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SummaryA laboratory-scale research program was undertaken to investigate the kinetics of the mesophilic (37°C) anaerobic digestion of brewery industry by-product. The purpose waa to develop data for the design and operation of full-scale units which could be used to generate methane fuel gas from these materials. This is important because the brewery industry has been susceptible to shortages of natural gas in recent years. The minimum SRT is 2.3 days, although for design purposes as much as ten days is recommended. The biomass yield is 0.512 g volatile suspended solids (VSS)/g volatile solids (VS) or 0.421 g VSS/g chemical oxygen demand (COD). The maintenance requirement is 0.052 g VS/g VSS per day or 0.061 g COD/g VSS per day. The specific methane yield is 2.51 liter/g VSS, and the methane productivity is 0.32-0.41 liter/g dry Substrate added or 0.69-0.91 liter/g destroyed. The maximum loading rate for which substrate inhibition is not observed is 6 g dry substrate added per liter per day. The results of the entire program indicate that processing brewery by-product in this manner is both technically feasible and economically attractive.

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Control of Anaerobic Digestion Process

Cited by 12 publications

References 0 publications

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes

Dynamic modeling of wastewater treatment processes

Methane fermentation of brewery by‐products

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