LAPSE:2023.5948v1
Published Article
LAPSE:2023.5948v1
Optimization and Analysis of Liquid Anaerobic Co-Digestion of Agro-Industrial Wastes via Mixture Design
February 23, 2023
Abstract
Anaerobic co-digestion (AcoD) is a widely employed technique to produce biogas from simultaneous digestion of various biomasses. However, the selection of the optimal proportions of the substrates in the mixtures presents a challenge. This research used a mixture design to investigate the interactions between the liquid fraction of piglet manure (PM), cow manure (CWM), and starch wastewater (SWW). A modified Gompertz model was used to identify the statistically significant parameters of the methane production curves. The optimal compositions of the mixtures were identified based on multi-objective optimization of the maximal methane yield (YCH4) and maximal methane specific production rate (rCH4) parameters. The study was validated using a double mixture of PM and CWM and a triple mixture. The estimated degradation rates for both mixtures were faster than the predicted ones. The absolute relative errors of rCH4 were 27.41% for the double mixture and 5.59% for the triple mixture, while the relative errors of YCH4 were 4.64% for the double mixture and 10.05% for the triple mixture. These relative errors are within the normal limits of a process with high variability like AD. Thus, mixture design supported by the tested models is suitable for the definition of practically advisable mixtures of substrates.
Anaerobic co-digestion (AcoD) is a widely employed technique to produce biogas from simultaneous digestion of various biomasses. However, the selection of the optimal proportions of the substrates in the mixtures presents a challenge. This research used a mixture design to investigate the interactions between the liquid fraction of piglet manure (PM), cow manure (CWM), and starch wastewater (SWW). A modified Gompertz model was used to identify the statistically significant parameters of the methane production curves. The optimal compositions of the mixtures were identified based on multi-objective optimization of the maximal methane yield (YCH4) and maximal methane specific production rate (rCH4) parameters. The study was validated using a double mixture of PM and CWM and a triple mixture. The estimated degradation rates for both mixtures were faster than the predicted ones. The absolute relative errors of rCH4 were 27.41% for the double mixture and 5.59% for the triple mixture, while the relative errors of YCH4 were 4.64% for the double mixture and 10.05% for the triple mixture. These relative errors are within the normal limits of a process with high variability like AD. Thus, mixture design supported by the tested models is suitable for the definition of practically advisable mixtures of substrates.
Record ID
Keywords
anaerobic batch-tests, anaerobic co-digestion, mixture design, statistical optimization
Suggested Citation
Regalado REH, Weide T, Baumkötter D, Wettwer L, Häner J, Brügging E, Tränckner J. Optimization and Analysis of Liquid Anaerobic Co-Digestion of Agro-Industrial Wastes via Mixture Design. (2023). LAPSE:2023.5948v1
Author Affiliations
Regalado REH: Faculty of Agriculture and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany; Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Ste
Weide T: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst [ORCID]
Baumkötter D: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Wettwer L: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Häner J: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Brügging E: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst [ORCID]
Tränckner J: Faculty of Agriculture and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany [ORCID]
Weide T: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst [ORCID]
Baumkötter D: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Wettwer L: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Häner J: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst
Brügging E: Faculty of Energy Building Services Environmental Engineering, Münster University of Applied Sciences, Stegerwaldstr. 39, 48565 Steinfurt, Germany; Institute for Resources, Energy, and Infrastructure, Münster University of Applied Sciences, Stegerwaldst [ORCID]
Tränckner J: Faculty of Agriculture and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany [ORCID]
Journal Name
Processes
Volume
9
Issue
5
First Page
877
Year
2021
Publication Date
2021-05-17
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9050877, Publication Type: Journal Article
Record Map
Published Article
LAPSE:2023.5948v1
This Record
External Link
https://doi.org/10.3390/pr9050877
Publisher Version
Download
Meta
Record Statistics
Record Views
238
Version History
[v1] (Original Submission)
Feb 23, 2023
Verified by curator on
Feb 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.5948v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works