Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production
Biogas plants have the great advantage that they produce electricity according to demand and can thus compensate for fluctuating production from weather-dependent sources such as wind power and photovoltaics. A prerequisite for flexible biogas plant operation is a suitable feeding strategy for an ad...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Microorganisms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2607/10/4/804 |
| _version_ | 1797409943839571968 |
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| author | Celina Dittmer Benjamin Ohnmacht Johannes Krümpel Andreas Lemmer |
| author_facet | Celina Dittmer Benjamin Ohnmacht Johannes Krümpel Andreas Lemmer |
| author_sort | Celina Dittmer |
| collection | DOAJ |
| description | Biogas plants have the great advantage that they produce electricity according to demand and can thus compensate for fluctuating production from weather-dependent sources such as wind power and photovoltaics. A prerequisite for flexible biogas plant operation is a suitable feeding strategy for an adjusted conversion of biomass into biogas. This research work is the first to demonstrate a practical, integrated model predictive control (MPC) for load-flexible, demand-orientated biogas production and the results show promising options for practical application on almost all full-scale biogas plants with no or only minor adjustments to the standardly existing measurement technology. Over an experimental period of 36 days, the biogas production of a full-scale plant was adjusted to the predicted electricity demand of a “real-world laboratory”. Results with a mean absolute percentage error (MAPE) of less than 20% when comparing biogas demand and production were consistently obtained. |
| first_indexed | 2024-03-09T04:22:49Z |
| format | Article |
| id | doaj.art-4bac6d1f3c15440d942674594dc9e32c |
| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-09T04:22:49Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj.art-4bac6d1f3c15440d942674594dc9e32c2023-12-03T13:45:10ZengMDPI AGMicroorganisms2076-26072022-04-0110480410.3390/microorganisms10040804Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas ProductionCelina Dittmer0Benjamin Ohnmacht1Johannes Krümpel2Andreas Lemmer3State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, GermanyState Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, GermanyState Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, GermanyState Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, GermanyBiogas plants have the great advantage that they produce electricity according to demand and can thus compensate for fluctuating production from weather-dependent sources such as wind power and photovoltaics. A prerequisite for flexible biogas plant operation is a suitable feeding strategy for an adjusted conversion of biomass into biogas. This research work is the first to demonstrate a practical, integrated model predictive control (MPC) for load-flexible, demand-orientated biogas production and the results show promising options for practical application on almost all full-scale biogas plants with no or only minor adjustments to the standardly existing measurement technology. Over an experimental period of 36 days, the biogas production of a full-scale plant was adjusted to the predicted electricity demand of a “real-world laboratory”. Results with a mean absolute percentage error (MAPE) of less than 20% when comparing biogas demand and production were consistently obtained.https://www.mdpi.com/2076-2607/10/4/804anaerobic digestionfeeding managementforecastflexibilizationmodelingdemand-driven biogas production |
| spellingShingle | Celina Dittmer Benjamin Ohnmacht Johannes Krümpel Andreas Lemmer Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production Microorganisms anaerobic digestion feeding management forecast flexibilization modeling demand-driven biogas production |
| title | Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production |
| title_full | Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production |
| title_fullStr | Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production |
| title_full_unstemmed | Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production |
| title_short | Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production |
| title_sort | model predictive control demand orientated load flexible full scale biogas production |
| topic | anaerobic digestion feeding management forecast flexibilization modeling demand-driven biogas production |
| url | https://www.mdpi.com/2076-2607/10/4/804 |
| work_keys_str_mv | AT celinadittmer modelpredictivecontroldemandorientatedloadflexiblefullscalebiogasproduction AT benjaminohnmacht modelpredictivecontroldemandorientatedloadflexiblefullscalebiogasproduction AT johanneskrumpel modelpredictivecontroldemandorientatedloadflexiblefullscalebiogasproduction AT andreaslemmer modelpredictivecontroldemandorientatedloadflexiblefullscalebiogasproduction |