NDLI: Sensitivity of optimal operation of an activated sludge process model

Content Provider	IEEE Xplore Digital Library
Author	Araujo, A. Gallani, S. Mulas, M. Skogestad, S.
Copyright Year	2012
Description	Author affiliation: Dept. of Chemical Engineering, Norwegian University of Science and Technology, N-7491 Trondheim, Norway (Skogestad, S.) \|\| Dept. of Chemical Engineering, Federal University of Campina Grande, 58429-140, Paraiba, Brazil (Araujo, A.; Gallani, S.) \|\| Dept. of Civil and Environmental Engineering, Aalto University, P. O. Box 15200, FI-00076, Finland (Mulas, M.)
Abstract	This paper describes a systematic sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test-bed Benchmark Simulation Model No. 1 (BSM1). The objective is to search for an operational structure that leads to optimal economic operation, while promptly rejecting disturbances at lower layers in the control hierarchy avoiding thus violation of the more important regulation constraints on effluent discharge. We start by optimizing a steady-state nonlinear model of the process. The resulting active constraints must be chosen as economic controlled variables. These are the effluent ammonia from the bioreactors and the final effluent total suspended solids at their respective upper limits, as well as the internal recycle flow rate at its lower bound. The remaining degrees of freedom need to be fulfilled, and we use several local (linear) sensitivity methods to find a set of unconstrained controlled variables that minimizes the loss between actual and optimal operation; particularly we choose to control linear combinations of readily available measurements so to minimize the effect of disturbances and implementation errors.
Starting Page	259
Ending Page	264
File Size	853425
Page Count	6
File Format	PDF
ISBN	9781467315593
e-ISBN	9781467315609
e-ISBN	9781467315586
DOI	10.1109/CONTROL.2012.6334639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-03
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Analytical models Biological system modeling Loss measurement Steady-state Mathematical model Optimization
Content Type	Text
Resource Type	Article

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