Multi-criteria analysis of wastewater treatment plant design and control scenarios under uncertainty |
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| Authors: | L. Benedetti B. De Baets I. Nopens P.A. Vanrolleghem |
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| Affiliation: | 1. BIOMATH, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium;2. KERMIT, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium;3. modelEAU, Université Laval, Pavillon Pouliot, 1065 av. de la Médecine, Québec, QC G1V 0A6, Canada;1. Department of Environmental Engineering (DTU Environment), Technical University of Denmark, Miljøvej, Building 113, DK-2800 Kgs. Lyngby, Denmark;2. Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 227, DK-2800 Kgs. Lyngby, Denmark;3. Division of Industrial Electrical Engineering and Automation (IEA), Department of Measurement Technology and Industrial Electrical Engineering (MIE), Lund University, Box 118, SE-221 00 Lund, Sweden;1. School of Energy and Environment, Southeast University, Sipailou Road, Nanjing 210096, China;2. School of Resources and Environmental Engineering, East China University of Science and Technology, Meilong Road, Shanghai 200237, China;3. ERC Taihu Lake Water Environment (Wuxi), Linghu Avenue, Wuxi 214135, China;1. Water Economics Group, Faculty of Economics, University of Valencia, Campus dels Tarongers, 46022, Valencia, Spain;2. Luxembourg Institute of Science and Technology (LIST), 41 Rue du Brill, 4422, Sanem, Luxembourg;1. AQUALOGY, SUEZ, Passeig de Zona Franca 48, 08038, Barcelona, Spain;2. Laboratory of Chemical and Environmental Engineering (LEQUIA), Universitat de Girona, Science Faculty, Montilivi Campus, 17071, Girona, Spain;3. Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697-2175, USA;4. ICRA, Catalan Institute for Water Research, Scientific and Technological Park of the Universitat de Girona, Emili Grahit, 101, E-17003, Girona, Spain;2. Department of Chemical Engineering, Institute of Technology, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain;3. Department of Mathematics for Economy, Faculty of Economics, University of Valencia, 46022 Valencia, Spain;4. Laboratory of Chemical and Environmental Engineering (LEQUIA), Scientific and Technological Park, Jaume Casademont Building, Pic de Peguera 15, 17003 Girona, Spain;1. Laboratory of Chemical and Environmental Engineering (LEQUIA), University of Girona, Science Faculty, Montilivi Campus, 17071 Girona, Spain;2. CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, DK-2800 Kgs. Lyngby, Denmark;3. AQUALOGY (SUEZ), Passeig de Zona Franca 48, 08038 Barcelona, Spain |
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| Abstract: | Wastewater treatment plant control and monitoring can help to achieve good effluent quality, in a complex, highly non-linear process. The Benchmark Simulation Model no. 2 (BSM2) is a useful tool to competitively evaluate plant-wide control on a long-term basis.A method to conduct scenario analysis of process designs by means of Monte Carlo (MC) simulations and multi-criteria evaluation is presented. It is applied to the open loop version of BSM2 and to two closed loop versions, one with a simple oxygen controller and the other one with an ammonium controller regulating the set-point of the oxygen controller (cascade controller). The results show a much greater benefit of the cascade controller compared to the simple controller, both in environmental and economic terms. From an optimal process design point of view, the results show that the volume of the primary clarifier and the anoxic fraction of the reactor volume have an important impact on process performance.The uncertainty analysis of the optimal designs, also performed with MC simulations, highlights the improved and more stable effluent under closed loop control. |
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