A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants
https://orcid.org/0000-0002-2575-9318
AbstractModel predictive control (MPC) and Fuzzy controllers are designed in a two‐level hierarchical supervisory control framework for control of activated sludge‐based wastewater treatment plants (WWTP) in order to efficiently remove nitrogen and phosphorus. Benchmark simulation model No.3 with a bio‐phosphorus (ASM3bioP) module is used as a working platform. The hierarchical control framework is used to alter the dissolved oxygen in the seventh reactor (DO7) to control ammonia. Lower‐level PI, MPC, and Fuzzy are used to control the nitrate levels in the fourth reactor (SNO4) by manipulating internal recycle (Qintr) and DO7 in the seventh tank by manipulating mass transfer coefficient (KLa7). MPC and Fuzzy are designed in the supervisory layer to alter the DO7 set‐point based on the ammonia composition in the seventh reactor (NH7). From the analysis, it is observed that the effluent quality is improved with a decrease in ammonia, TN, and TP. Though a little difference was observed in the cost for all the control strategies, a trade‐off is maintained between cost and percentage improvement of effluent quality. MPC‐MPC combination showed significant removal in ammonia and better effluent quality when compared to other control strategies.Practitioner points Developed novel strategies in hierarchical configurations for better nutrient removal with optimal costs in an A2O process. Lower level control strategies deals with dissolved oxygen in last aeration tank and nitrate in fourth anoxic tank (PI/MPC) Higher level control strategy deals with ammonia in the last aeration tank (MPC/Fuzzy). Average and violations of nutrient removal, economy and overall effluent quality for three weather conditions (Dry, Rain and Strom) are studied. A trade‐off is observed between EQI and OCI.
Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants
https://orcid.org/0000-0002-2575-9318
AbstractModel predictive control (MPC) and Fuzzy controllers are designed in a two‐level hierarchical supervisory control framework for control of activated sludge‐based wastewater treatment plants (WWTP) in order to efficiently remove nitrogen and phosphorus. Benchmark simulation model No.3 with a bio‐phosphorus (ASM3bioP) module is used as a working platform. The hierarchical control framework is used to alter the dissolved oxygen in the seventh reactor (DO7) to control ammonia. Lower‐level PI, MPC, and Fuzzy are used to control the nitrate levels in the fourth reactor (SNO4) by manipulating internal recycle (Qintr) and DO7 in the seventh tank by manipulating mass transfer coefficient (KLa7). MPC and Fuzzy are designed in the supervisory layer to alter the DO7 set‐point based on the ammonia composition in the seventh reactor (NH7). From the analysis, it is observed that the effluent quality is improved with a decrease in ammonia, TN, and TP. Though a little difference was observed in the cost for all the control strategies, a trade‐off is maintained between cost and percentage improvement of effluent quality. MPC‐MPC combination showed significant removal in ammonia and better effluent quality when compared to other control strategies.Practitioner points Developed novel strategies in hierarchical configurations for better nutrient removal with optimal costs in an A2O process. Lower level control strategies deals with dissolved oxygen in last aeration tank and nitrate in fourth anoxic tank (PI/MPC) Higher level control strategy deals with ammonia in the last aeration tank (MPC/Fuzzy). Average and violations of nutrient removal, economy and overall effluent quality for three weather conditions (Dry, Rain and Strom) are studied. A trade‐off is observed between EQI and OCI.
Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants
https://orcid.org/0000-0002-2575-9318
AbstractModel predictive control (MPC) and Fuzzy controllers are designed in a two‐level hierarchical supervisory control framework for control of activated sludge‐based wastewater treatment plants (WWTP) in order to efficiently remove nitrogen and phosphorus. Benchmark simulation model No.3 with a bio‐phosphorus (ASM3bioP) module is used as a working platform. The hierarchical control framework is used to alter the dissolved oxygen in the seventh reactor (DO7) to control ammonia. Lower‐level PI, MPC, and Fuzzy are used to control the nitrate levels in the fourth reactor (SNO4) by manipulating internal recycle (Qintr) and DO7 in the seventh tank by manipulating mass transfer coefficient (KLa7). MPC and Fuzzy are designed in the supervisory layer to alter the DO7 set‐point based on the ammonia composition in the seventh reactor (NH7). From the analysis, it is observed that the effluent quality is improved with a decrease in ammonia, TN, and TP. Though a little difference was observed in the cost for all the control strategies, a trade‐off is maintained between cost and percentage improvement of effluent quality. MPC‐MPC combination showed significant removal in ammonia and better effluent quality when compared to other control strategies.Practitioner points Developed novel strategies in hierarchical configurations for better nutrient removal with optimal costs in an A2O process. Lower level control strategies deals with dissolved oxygen in last aeration tank and nitrate in fourth anoxic tank (PI/MPC) Higher level control strategy deals with ammonia in the last aeration tank (MPC/Fuzzy). Average and violations of nutrient removal, economy and overall effluent quality for three weather conditions (Dry, Rain and Strom) are studied. A trade‐off is observed between EQI and OCI.
Supervisory control configurations design for nitrogen and phosphorus removal in wastewater treatment plants
Water Environment Research
Sheik, Abdul Gaffar (author) / Seepana, Murali Mohan (author) / Ambati, Seshagiri Rao (author)
Water Environment Research ; 93 ; 1289-1302
2021-08-01
Article (Journal)
Electronic Resource
English
Municipal Wastewater Treatment: Biological Nitrogen and Phosphorus Removal
| British Library Conference Proceedings | 1997
Critical factors affecting biological phosphorus removal in dairy wastewater treatment plants
| Springer Verlag | 2008
Treatment of Industrial Wastewater at Municipal WWTP with Nitrogen and Phosphorus Removal
| British Library Conference Proceedings | 1995
Research on Intelligent Chemical Dosing System for Phosphorus Removal in Wastewater Treatment Plants
| DOAJ | 2024