Sludge dewatering is a major operational challenge for wastewater treatment plants, because the achieved dryness strongly affects transport and downstream processing costs. At the same time, the widespread use of synthetic polyelectrolytes (flocculants) increases both costs and environmental impacts, driving the need for effective natural or biobased alternatives. Dewatering is becoming even more crucial as sludge is increasingly used for resource recovery, which changes sludge composition and introduces new uncertainties in dewatering behaviour—making deeper process understanding essential.
The research will combine full-scale and lab-scale data with advanced data analytics to identify robust predictors of dewatering performance and support better operational control. In parallel, it will explore strategies to reduce water binding in sludge and improve mechanical dewatering efficiency, including approaches that reduce or replace synthetic flocculants with sustainable alternatives.