Towards Sustainable Flux Determination for Dynamic Ultrafiltration through Multivariable System Identification

Prado-Rubio, OA; von, Stosch, M

doi:10.1016/B978-0-444-63965-3.50455-4

Towards Sustainable Flux Determination for Dynamic Ultrafiltration through Multivariable System Identification

Lookup NU author(s): Oscar Prado-Rubio, Dr Moritz von Stosch

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Abstract

© 2017 Elsevier B.V. In order to intensify membrane filtration technology for water purification, dynamic operation has been proposed. However, optimal operation of this system demands extensive experiments and sometimes cannot be reliably estimated due to its dynamic nature. In this contribution, system identification techniques are investigated in order to develop black box models for a real wastewater treatment application. Single Input-Single Output (SISO) structures have shown to be insufficient to model system behaviour, especially at high frequencies. On the other hand, by including known variance through multiple input signals, a Multiple Input-Single Output (MISO) approach has substantially increased the model quality and therefore was used to investigate the critical flux operation. The model structure showed significant changes around the critical flux operating point and therefore it is believed that those could be used to identify critical flux instead of using the demanding off line conventional methods. Using these results, a method for critical flux identification of dynamic systems is under development.