DocumentCode :
722929
Title :
Control strategies for ammonia violations removal in BSM1 for dry, rain and storm weather conditions
Author :
Santin, Ignacio ; Pedret, Carles ; Vilanova, Ramon
Author_Institution :
Escola d´Eng., Univ. Autonoma de Barcelona, Bellaterra, Spain
fYear :
2015
fDate :
16-19 June 2015
Firstpage :
577
Lastpage :
582
Abstract :
This paper presents a proposal with the objective of eliminating violations of ammonia nitrogen in the effluent (NHe) of a wastewater treatment process. Furthermore, improving effluent quality and reducing operating costs and the percentage of violations of total nitrogen in the effluent (Ntot,e) are also considered. The evaluation of control strategies are conducted with the Benchmark Simulation Model No 1 (BSM1). Several controllers have been proposed: Model Predictive Control (MPC) with inlet flow rate feedforward compensation (MPCFF), Fuzzy controller and Exponential, Linear and Affine Functions. MPCFF and Fuzzy controller are applied in a hierarchical structure to improve effluent quality, to reduce operational costs and to decrease NHe peaks. Exponential, Linear and Affine Functions are implemented, along with the hierarchical control structure, to avoid NHe violations. The results are presented and compared with the default control strategy of BSM1 for dry, rain and storm weahter conditions. They show that the NHe violation removal is achieved for the three weather conditions. For dry influent also an improvement of effluent quality and a reduction of operational cost are acquired. For the rain and storm cases, an increment of operational cost is required.
Keywords :
cost reduction; effluents; feedforward; fuzzy control; hierarchical systems; linear systems; predictive control; rain; storms; wastewater treatment; water pollution control; water quality; BSM; affine functions; ammonia violation removal; benchmark simulation model; dry weather; effluent quality improvement; exponential functions; fuzzy controller; hierarchical control structure; inlet flow rate feedforward compensation; linear functions; model predictive control; operational cost reduction; rain; storm weather; wastewater treatment; Benchmark testing; Feedforward neural networks; Nitrogen; Rain; Storms; Tuning; BSM1 Benchmark; Effluent violations; Fuzzy control; Model Predictive Control; Wastewater Treatment Process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (MED), 2015 23th Mediterranean Conference on
Conference_Location :
Torremolinos
Type :
conf
DOI :
10.1109/MED.2015.7158809
Filename :
7158809
Link To Document :
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