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"Iossifidis, Dimitri"
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Intelligent Tools to Monitor, Control and Predict Wastewater Reclamation and Reuse
Contemporary wastewater reclamation units entail several diverse treatment and extraction processes, with a multitude of monitored quality characteristics, controlled by a variety of key operational parameters directly affecting the efficiency of treatment. The conventional optimization of this highly complex system is time- and energy- consuming, frequently relying on intuitive decision making by operators, and does not predict or forecast efficiency changes and system maintenance. In this paper, we introduce intelligent solutions to enhance the operational control of the unit with minimal human intervention and to develop an AI-powered DSS that is installed atop the sensors of a water treatment module. The DSS uses an expert model, both to assess the quality of water and to offer suggestions based on current values and future trends. More specifically, the quality of the produced water was successfully visualized, assessed and rated, based on a set of input operational variables (pH, TOC for this case), while future values of monitored sensors were forecasted. Additionally, monitoring services of the DSS were able to identify unexpected events and to generate alerts in the case of observed violation of operational limits, as well as to implement changes (automatic responses) to operational parameters so as to reestablish normal operating conditions and to avoid such events in the future. Up to now, the DSS suggestion and forecasting services have proven to be adequately accurate. Though data are still being collected from early adopters, the solution is expected to provide a complete water treatment solution that can be adopted by a vast range of parties.
Journal Article
Polyphenol extraction from industrial water by-products: a case study of the ULTIMATE project in the fruit processing industry
This study investigates the sustainable management and utilization of water resources in the fruit processing industry, focusing on a case study from the EU-funded ULTIMATE project. Conducted in a juice factory in Nafplio, Greece, the primary objective is to explore the recovery of polyphenols from water by-product streams generated during orange juice production. The research aims to evaluate the effectiveness of a mobile wastewater treatment unit in selectively adsorbing polyphenols onto a polymeric resin. The following three extraction methods are compared: conventional solvent extraction, subcritical water extraction (SWE), and supercritical CO2 extraction (SFE). To determine the most efficient extraction method, the polyphenol profiles of the extracts were analyzed using UHPLC-Q-Orbitrap-MS/MS, identifying flavonoids, terpenes, coumarins, and anthocyanins. SFE not only was the most efficient method but provided the most diverse and abundant profile. The research highlights the potential of converting industrial by-products that would otherwise be treated as wastewater, into valuable resources that generate revenue, promote circular economy practices, and enhance sustainability in the fruit and vegetable processing sector. The economic viability of polyphenol extraction is also discussed, emphasizing its significance and impact on various industries. The findings support integrating advanced extraction technologies to maximize resource recovery and minimize environmental impact.
Journal Article