Advanced decision control system for effluent violations removal in wastewater treatment plants |
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| Affiliation: | 1. State Key Laboratory of Urban Water Resources and Environment, Harbin Institute of Technology (HIT), Harbin 150090, China;2. Space Control and Inertial Technology Research Center, HIT, Harbin 150080, China;3. Laboratory of Modeling, Information and Systems, University of Picardie Jules Verne, Amiens, France;1. Department of Computing and Automation, University of Salamanca, Salamanca, Spain;2. Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim, Norway;1. Dpto. Informática y Automática. Facultad de Ciencias. Plaza de la Merced s/n, 37008 Salamanca, Spain;2. Dpto. Informática y Automática. E.T.S. Ingeniería Industrial de Béjar. Av. Fernando Ballesteros s/n, 37700 Béjar, Salamanca, Spain;1. Department of Chemical & Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada;2. Liaoning Province Key Laboratory of Control Technology for Chemical Processes, Shenyang University of Chemical Technology, Shenyang 110142, China |
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| Abstract: | This paper presents the application of control strategies for wastewater treatment plants with the goal of effluent limits violations removal as well as achieving a simultaneous improvement of effluent quality and reduction of operational costs. The evaluation is carried out with the Benchmark Simulation Model No. 2. The automatic selection of the suitable control strategy is based on risk detection of effluent violations by Artificial Neural Networks. Fuzzy Controllers are implemented to improve the denitrification or nitrification process based on the proposed objectives. Model Predictive Control is applied for the improvement of dissolved oxygen tracking. |
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| Keywords: | Wastewater treatment plant BSM2 benchmark Model predictive control Fuzzy control Artificial neural networks Violations risk detection AE" },{" #name" :" keyword" ," $" :{" id" :" key0050" }," $$" :[{" #name" :" text" ," _" :" aeration energy (kWh/d) ANN" },{" #name" :" keyword" ," $" :{" id" :" key0060" }," $$" :[{" #name" :" text" ," _" :" artificial neural network ASM1" },{" #name" :" keyword" ," $" :{" id" :" key0070" }," $$" :[{" #name" :" text" ," _" :" activated sludge model No. 1 5-day biological oxygen demand (mg/l) BSM" },{" #name" :" keyword" ," $" :{" id" :" key0090" }," $$" :[{" #name" :" text" ," _" :" benchmark simulation model CL1" },{" #name" :" keyword" ," $" :{" id" :" key0100" }," $$" :[{" #name" :" text" ," _" :" first control strategy of the finalization of BSM2 plant layout in Nopens et al. (2010) CL2" },{" #name" :" keyword" ," $" :{" id" :" key0110" }," $$" :[{" #name" :" text" ," _" :" second control strategy of the finalization of BSM2 plant layout in Nopens et al. (2010) COD" },{" #name" :" keyword" ," $" :{" id" :" key0120" }," $$" :[{" #name" :" text" ," _" :" chemical oxygen demand (mg/l) defCl" },{" #name" :" keyword" ," $" :{" id" :" key0130" }," $$" :[{" #name" :" text" ," _" :" default control strategy of the original BSM2 definition in Jeppsson et al. (2007) EC" },{" #name" :" keyword" ," $" :{" id" :" key0140" }," $$" :[{" #name" :" text" ," _" :" consumption of external carbon source (kg/d) EQI" },{" #name" :" keyword" ," $" :{" id" :" key0150" }," $$" :[{" #name" :" text" ," _" :" effluent quality index (kg/d) FC" },{" #name" :" keyword" ," $" :{" id" :" key0160" }," $$" :[{" #name" :" text" ," _" :" fuzzy controller net heating energy (kWh/d) ME" },{" #name" :" keyword" ," $" :{" id" :" key0180" }," $$" :[{" #name" :" text" ," _" :" mixing energy (kWh/d) methane production in the anaerobic digester (kg/d) MPC" },{" #name" :" keyword" ," $" :{" id" :" key0200" }," $$" :[{" #name" :" text" ," _" :" model predictive control MPC+FF" },{" #name" :" keyword" ," $" :{" id" :" key0210" }," $$" :[{" #name" :" text" ," _" :" model predictive control with feedforward compensation OCI" },{" #name" :" keyword" ," $" :{" id" :" key0220" }," $$" :[{" #name" :" text" ," _" :" overall cost index PE" },{" #name" :" keyword" ," $" :{" id" :" key0230" }," $$" :[{" #name" :" text" ," _" :" pumping energy (kWh/d) SP" },{" #name" :" keyword" ," $" :{" id" :" key0240" }," $$" :[{" #name" :" text" ," _" :" sludge production (kg/d) TSS" },{" #name" :" keyword" ," $" :{" id" :" key0250" }," $$" :[{" #name" :" text" ," _" :" total suspended solids (mg/l) WWTP" },{" #name" :" keyword" ," $" :{" id" :" key0260" }," $$" :[{" #name" :" text" ," _" :" wastewater treatment plants |
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