Widening the applicability of most-open-valve (MOV) strategy for aeration control at full scale WWTPs by combining fuzzy-logic control and knowledge-based rules

WEF, 2009 Olsson, 2012, ICA and me – a subjective review, Water Res., 46, 1585, 10.1016/j.watres.2011.12.054 Schraa, 2019, Ammonia-based aeration control with optimal SRT control: improved performance and lower energy consumption, Water Sci. Technol., 79, 63, 10.2166/wst.2019.032 Pasini, 2021, Quantification of energy and cost reduction from decreasing dissolved oxygen levels in full-scale water resource recovery facilities, Water Environ. Res., 93, 3090, 10.1002/wer.1660 Wan, 2021, Ammonium-based aeration control improves nitrogen removal efficiency and reduces N2O emissions for partial nitritation-anammox reactors, Chemosphere, 274, 10.1016/j.chemosphere.2021.129720 Regmi, 2022, Combining continuous flow aerobic granulation using an external selector and carbon-efficient nutrient removal with AvN control in a full-scale simultaneous nitrification-denitrification process, Water Res., 210, 10.1016/j.watres.2021.117991 Beltrán, 2015, Instrumentation, monitoring and real-time control strategies for efficient sewage treatment plant operation Piotrowski, 2021, Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP, J. Process Control, 105, 78, 10.1016/j.jprocont.2021.07.009 Piotrowski, 2020, Designing control strategies of aeration system in biological WWTP, Energies, 13, 3619, 10.3390/en13143619 Tong, 1980, Fuzzy control of the activated sludge wastewater treatment process, Automatica, 16, 695, 10.1016/0005-1098(80)90011-4 Bertanza, 2020, Energy saving for air supply in a real WWTP: application of a fuzzy logic controller, Water Sci. Technol., 81, 1552, 10.2166/wst.2020.084 Serralta, 2002, A supervisory control system for optimizing nitrogen removal and aeration energy consumption in wastewater treatment plants, Water Sci. Technol., 45, 309, 10.2166/wst.2002.0612 Fiter, 2005, Energy saving in a wastewater treatment process: an application of fuzzy logic control, Environ. Technol., 26, 1263, 10.1080/09593332608618596 Traoré, 2005, Fuzzy control of dissolved oxygen in a sequencing batch reactor pilot plant, Chem. Eng. J., 111, 13, 10.1016/j.cej.2005.05.004 Yong, 2006, Intelligent control aeration and external carbon addition for improving nitrogen removal, Environ. Model Softw., 21, 821, 10.1016/j.envsoft.2005.02.009 Åmand, 2013, (2013) aeration control – a review, Water Sci. Technol., 67, 2374, 10.2166/wst.2013.139 Hewitt, 1996, Programmable aeration control system reduces plant energy costs, Water Eng. Manag., 143, 30 Nam, 1996, On-line integrated control system for an industrial activated sludge process, Water Environ. Res., 68, 70, 10.2175/106143096X127226 Jenkins, 2013 Ribes, 2007, Implementation of a supervisory fuzzy logic based control system in the Denia WWTP, 77 Lazić, 2012, Energy savings potential of new aeration system: full scale trials, Water Pract. Technol., 7, 10.2166/wpt.2012.098 Larsen, 1980, Industrial application of fuzzy logic control, Int. J. Man Mach. Stud., 12, 3, 10.1016/S0020-7373(80)80050-2 Mendel, 1995, Fuzzy logic systems for engineering: A tutorial, 83(3), 345