<p dir="ltr">The increasing challenges posed by climate change and emerging contaminants necessitate a more adaptable and resilient approach to drinking water treatment. This paper presents a novel Design Support Tool aimed at guiding, assisting and simplifying the preliminary design of small-scale and flexible Drinking Water Treatment Plants, with the selection of the “best” combination of treatment trains adapted to their specific needs (water quantity and quality). The tool integrates a comprehensive database of treatment technologies, considers various water sources. In its final version, the tool will incorporate a multi-objective optimization of treatment processes based on cost and spatial footprint. The current Python-based prototype and development of the web application are discussed, highlighting its potential to aid process technologists and decision-makers in achieving high water quality standards with enhanced adaptability and robustness.</p><p dir="ltr">This paper was presented at the 21st Computing and Control in the Water Industry Conference (CCWI 2025) at the University of Sheffield (1st - 3rd September 2025).</p>
History
Methodology, headings and units
Headings and units are explained in the files
Policy
The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
The uploaded data can be shared openly
Data description
The file formats are open or commonly used
Responsibility
The depositor is responsible for the content and sharing of the attached files
Ethics
There is no personal data or any that requires ethical approval