• Media type: E-Article
  • Title: Integrating online differential titrimetry and dynamic modelling as innovative energy saving strategy in a large industrial WWTP
  • Contributor: Polizzi, Cecilia; Falcioni, Serena; Mannucci, Alberto; Mori, Gualtiero; Nardi, Arianna; Spennati, Francesco; Munz, Giulio
  • Published: Springer Science and Business Media LLC, 2022
  • Published in: Clean Technologies and Environmental Policy, 24 (2022) 6, Seite 1771-1780
  • Language: English
  • DOI: 10.1007/s10098-022-02285-2
  • ISSN: 1618-954X; 1618-9558
  • Keywords: Management, Monitoring, Policy and Law ; Environmental Chemistry ; Environmental Engineering ; General Business, Management and Accounting ; Economics and Econometrics
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  • Description: AbstractWastewater treatment plants (WWTP) are required to meet increasingly stringent effluent quality standards as well as to improve process sustainability in terms of energy efficiency, in line with the call for a paradigm shift towards the more sustainable concept of wastewater resource recovery facility (WRRF). In this context, optimised Instrumentation, Control and Automation (ICA) systems as well as process and plant-wide modelling have become key tools for optimising economic and environmental costs. The present work reports on the successfull integration of an innovative on-line continuous titrimeter and plant-wide modelling as a support tool for the optimisation of the nitritification unit in a large-scale industrial WWTP. The information gathered from the on-line titrimeter allowed for real-time estimation of the Ammonia Oxidation Rate of the activated sludge and, ultimately, of the nitrification residual capacity of the plant. Results on the titrimeter long-term operation and historical data modelling supported plant managing decisions, such as lowering the dissolved oxygen (DO) set-point of the oxidation unit, straightforwardly resulting in energy saving. Graphical abstract