Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors
Membrane aerated biofilm reactors (MABRs) are a promising biological wastewater treatment technology, whose industrial applications have dramatically accelerated in the last five years. Increased popularity and fast industrial adaptation are coupled with increased needs to monitor, optimize, and con...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-11-01
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| Series: | Water Science and Technology |
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| Online Access: | http://wst.iwaponline.com/content/86/9/2270 |
| _version_ | 1811313739953078272 |
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| author | Cheng Yang Dwight Houweling Huanqi He Glen T. Daigger |
| author_facet | Cheng Yang Dwight Houweling Huanqi He Glen T. Daigger |
| author_sort | Cheng Yang |
| collection | DOAJ |
| description | Membrane aerated biofilm reactors (MABRs) are a promising biological wastewater treatment technology, whose industrial applications have dramatically accelerated in the last five years. Increased popularity and fast industrial adaptation are coupled with increased needs to monitor, optimize, and control MABRs with available online sensors. Observations of commercial scale MABR installations have shown a distinctive and repetitive pattern relating oxygen purity in MABR exhaust gas to reactor ammonia concentrations. This provides an obvious opportunity for process monitoring and control which this paper investigates with the help of modeling. The relationship plots between the bulk ammonia concentration and the oxygen purity are defined as MABR fingerprint plots, which are described in the form of steady-state curves and dynamic trajectories. This study systematically investigated, analyzed, and explained the behaviors and connections of steady-state curves and dynamic trajectories with a MABR model in SUMO®, and proposed a hypothesis about utilizing the MABR fingerprint plots to characterize MABR system performance, identify the limiting factor of biofilms, and possibly develop a soft senor for MABR biofilm thickness monitoring and control.
HIGHLIGHTS
Fingerprints of MABRs are proposed based on the relationships of available online sensor signals.;
With modeling, the behaviors of MABR fingerprints were analyzed under both steady-state and dynamic conditions.;
The MABR fingerprints can characterize MABR system performance and identify the limiting factor of biofilms.;
The MABR fingerprints can potentially be soft sensors for MABR biofilm thickness monitoring and control.; |
| first_indexed | 2024-04-13T10:59:01Z |
| format | Article |
| id | doaj.art-91f6310687e342e48b3f5f975106d1ba |
| institution | Directory Open Access Journal |
| issn | 0273-1223 1996-9732 |
| language | English |
| last_indexed | 2024-04-13T10:59:01Z |
| publishDate | 2022-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Science and Technology |
| spelling | doaj.art-91f6310687e342e48b3f5f975106d1ba2022-12-22T02:49:27ZengIWA PublishingWater Science and Technology0273-12231996-97322022-11-018692270228710.2166/wst.2022.323323Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensorsCheng Yang0Dwight Houweling1Huanqi He2Glen T. Daigger3 Jacobs Engineering Groups, 6312 S. Fiddlers Green Circle, Suite 300N, Greenwood Village, Colorado 80111, USA Dynamita Inc, 2015 Route d'Aiglun, Sigale, Provence-Alpes-Côte d'Azur 06910, French Civil and Environmental Engineering, University of Michigan, 2350 Hayward St, G.G. Brown Building, Ann Arbor, MI 48109, USA Civil and Environmental Engineering, University of Michigan, 2350 Hayward St, G.G. Brown Building, Ann Arbor, MI 48109, USA Membrane aerated biofilm reactors (MABRs) are a promising biological wastewater treatment technology, whose industrial applications have dramatically accelerated in the last five years. Increased popularity and fast industrial adaptation are coupled with increased needs to monitor, optimize, and control MABRs with available online sensors. Observations of commercial scale MABR installations have shown a distinctive and repetitive pattern relating oxygen purity in MABR exhaust gas to reactor ammonia concentrations. This provides an obvious opportunity for process monitoring and control which this paper investigates with the help of modeling. The relationship plots between the bulk ammonia concentration and the oxygen purity are defined as MABR fingerprint plots, which are described in the form of steady-state curves and dynamic trajectories. This study systematically investigated, analyzed, and explained the behaviors and connections of steady-state curves and dynamic trajectories with a MABR model in SUMO®, and proposed a hypothesis about utilizing the MABR fingerprint plots to characterize MABR system performance, identify the limiting factor of biofilms, and possibly develop a soft senor for MABR biofilm thickness monitoring and control. HIGHLIGHTS Fingerprints of MABRs are proposed based on the relationships of available online sensor signals.; With modeling, the behaviors of MABR fingerprints were analyzed under both steady-state and dynamic conditions.; The MABR fingerprints can characterize MABR system performance and identify the limiting factor of biofilms.; The MABR fingerprints can potentially be soft sensors for MABR biofilm thickness monitoring and control.;http://wst.iwaponline.com/content/86/9/2270biofilm thickness controlfingerprintsmabrmodelingsoft sensor |
| spellingShingle | Cheng Yang Dwight Houweling Huanqi He Glen T. Daigger Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors Water Science and Technology biofilm thickness control fingerprints mabr modeling soft sensor |
| title | Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors |
| title_full | Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors |
| title_fullStr | Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors |
| title_full_unstemmed | Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors |
| title_short | Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors |
| title_sort | available online sensors can be used to create fingerprints for mabrs that characterize biofilm limiting conditions and serve as soft sensors |
| topic | biofilm thickness control fingerprints mabr modeling soft sensor |
| url | http://wst.iwaponline.com/content/86/9/2270 |
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