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Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
Published on: July 13, 2012
33.8K
A novel process simulation model (PSM) for anaerobic digestion using Aspen Plus.
Karthik Rajendran1, Harshavardhan R Kankanala1, Magnus Lundin1
1Resource Recovery, University of Borås, 50190 Borås, Sweden.
Bioresource Technology
|February 15, 2014
Summary
A new process simulation model accurately predicts biogas production in anaerobic digesters. This validated model accounts for various factors, offering reliable biogas yield predictions for diverse conditions.
Area of Science:
- Biotechnology and Bioengineering
- Environmental Engineering
- Chemical Engineering
Background:
- Anaerobic digestion is a key process for biogas production.
- Accurate modeling is crucial for optimizing biogas yield and digester performance.
- Existing models may lack comprehensive features for diverse substrates and conditions.
Purpose of the Study:
- To develop a novel and comprehensive process simulation model (PSM) for biogas production in anaerobic digesters.
- To predict biogas yields from various substrates under different operational parameters.
- To validate the model's accuracy using experimental data.
Main Methods:
- Developed a process simulation model (PSM) using Aspen Plus®.
- Incorporated 46 reactions, including inhibitions, kinetics, pH, ammonia, and retention time.
- Modeled hydrolysis reactions by extent and acidogenic, acetogenic, and methanogenic reactions by kinetics.
- Validated the PSM against laboratory and industrial anaerobic digestion data.
Main Results:
- The model accurately predicts biogas production across various conditions.
- Statistical analysis (P-value = 0.701) confirmed no significant difference between model predictions and experimental data.
- Sensitivity analysis showed a minor deviation (5.285%) for a ±10% change in substrate composition and reaction extent.
Conclusions:
- The developed PSM is a reliable tool for simulating biogas production in anaerobic digesters.
- The model's comprehensive approach allows for accurate predictions across diverse substrates and process conditions.
- The validated model can aid in optimizing anaerobic digestion processes for enhanced biogas yield.

