Details
| Original language | English |
|---|---|
| Pages (from-to) | 479-489 |
| Number of pages | 11 |
| Journal | Renewable energy |
| Volume | 96 |
| Issue number | A |
| Early online date | 12 May 2016 |
| Publication status | Published - Oct 2016 |
Abstract
With today's growing focus on on-demand energy production, the dynamic operation of biogas plants is becoming more and more important. Detecting unacceptable load changes and so preventing process failures is vital. In the present contribution, we propose an operating scheme that includes the detection of disturbances and intervention. This is then evaluated systematically with the help of a mathematical model for step changes in the organic loading rate. We summarize the qualitative results for each diagnosis variable in an operation diagram, enabling an intuitive, comprehensive comparison. Of the diagnosis variables analyzed, we find that the most promising for identifying incipient process failures in biogas plants are the volatile fatty acids to total alkalinity ratio (VFA/TA), followed by the ratio of methane to carbon dioxide γ in the biogas. In addition, the combination of the online measured variables pH value and gas composition can reveal disturbances early on in a wide range of different conditions.
Keywords
- ADM1, Anaerobic digestion, Biogas plants, Diagnosis, Dynamic operation, Simulation
ASJC Scopus subject areas
Sustainable Development Goals
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In: Renewable energy, Vol. 96, No. A, 10.2016, p. 479-489.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Diagnostic concept for dynamically operated biogas production plants
AU - Bensmann, Astrid
AU - Hanke-Rauschenbach, Richard
AU - Heyer, Robert
AU - Kohrs, Fabian
AU - Benndorf, Dirk
AU - Kausmann, Robert
AU - Plöchl, Matthias
AU - Heiermann, Monika
AU - Reichl, Udo
AU - Sundmacher, Kai
N1 - Funding information: This study was supported by the national research project ”BiogasEnzyme” regarding modifications of procedures in laboratory-scale, pilot and full-scale biogas plants funded by the German Federal Ministry of Food and Agriculture ( FNR, FKZ 22027707 ). R. Heyer was supported by the German Environmental Foundation ( DBU, 20011/136 ).
PY - 2016/10
Y1 - 2016/10
N2 - With today's growing focus on on-demand energy production, the dynamic operation of biogas plants is becoming more and more important. Detecting unacceptable load changes and so preventing process failures is vital. In the present contribution, we propose an operating scheme that includes the detection of disturbances and intervention. This is then evaluated systematically with the help of a mathematical model for step changes in the organic loading rate. We summarize the qualitative results for each diagnosis variable in an operation diagram, enabling an intuitive, comprehensive comparison. Of the diagnosis variables analyzed, we find that the most promising for identifying incipient process failures in biogas plants are the volatile fatty acids to total alkalinity ratio (VFA/TA), followed by the ratio of methane to carbon dioxide γ in the biogas. In addition, the combination of the online measured variables pH value and gas composition can reveal disturbances early on in a wide range of different conditions.
AB - With today's growing focus on on-demand energy production, the dynamic operation of biogas plants is becoming more and more important. Detecting unacceptable load changes and so preventing process failures is vital. In the present contribution, we propose an operating scheme that includes the detection of disturbances and intervention. This is then evaluated systematically with the help of a mathematical model for step changes in the organic loading rate. We summarize the qualitative results for each diagnosis variable in an operation diagram, enabling an intuitive, comprehensive comparison. Of the diagnosis variables analyzed, we find that the most promising for identifying incipient process failures in biogas plants are the volatile fatty acids to total alkalinity ratio (VFA/TA), followed by the ratio of methane to carbon dioxide γ in the biogas. In addition, the combination of the online measured variables pH value and gas composition can reveal disturbances early on in a wide range of different conditions.
KW - ADM1
KW - Anaerobic digestion
KW - Biogas plants
KW - Diagnosis
KW - Dynamic operation
KW - Simulation
KW - ADM1
KW - Anaerobic digestion
KW - Biogas plants
KW - Diagnosis
KW - Dynamic operation
KW - Simulation
KW - Alkalinity
KW - Biogas
KW - Carbon
KW - Fatty acids
UR - http://www.scopus.com/inward/record.url?scp=84977665240&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2016.04.098
DO - 10.1016/j.renene.2016.04.098
M3 - Article
AN - SCOPUS:84977665240
VL - 96
SP - 479
EP - 489
JO - Renewable energy
JF - Renewable energy
SN - 0960-1481
IS - A
ER -