Enhancing the Performance of a Simulated WWTP: Comparative Analysis of Control Strategies for the BSM2 Model

• Published in: Mathematics (Basel) Vol. 11; no. 16; p. 3471
• Main Authors: Roșu, Bogdan, Mocanu, George Dănuț, Pila, Mihaela Munteanu, Murariu, Gabriel, Roșu, Adrian, Arseni, Maxim
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2023
• Subjects: Ammonia; Comparative analysis; control strategies; Efficiency; Effluents; Energy consumption; Food science; Fuzzy logic; Heavy metals; Interpolation; Monte Carlo simulation; Neural networks; Nitrogen; Optimization; Performance enhancement; Polynomials; Proportional integral; Purification; Sensitivity analysis; Sewage; Simulation; Sludge; Solid suspensions; Violations; Wastewater; Wastewater treatment; Water treatment; Water treatment plants; Romania
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math11163471

This study aimed to improve the performance of a wastewater treatment plant (WWTP) simulated with Benchmark Model No. 2 (BSM2). To achieve this objective, three control strategies were implemented and tested. The first control strategy aimed to maintain the concentration of nitrate and nitrite nitrogen (SNO) by controlling the external carbon flowrate (strategy A1), and the second control strategy aimed to maintain the ammonia and ammonium nitrogen (SNH) at a desired level with the use of a cascade controller (strategy A2). The third strategy was applied to control the total suspended solids (TSS) (strategy A3). Combinations of these strategies were considered (B1, B2, and B3 strategies), as well as the use of all three together (strategy C1). The control strategies presented in this paper were compared to the default control strategy of BSM2 to validate and identify the one that provided the best performance. The results revealed that the B1 strategy was the most environmentally friendly, while C1 obtained the highest overall performance. Several Monte Carlo simulations were performed for the validated control strategies, to identify the optimal setpoint values. For the C1 strategy, a second method of optimization regarding polynomial interpolation was considered. The applied optimization methods provided the optimal reference values for the PI (proportional integral) controllers.