Optimization of Dynamically Adjusting Segregation Strategies in Wastewater Treatment Plants

Abstract

Wastewater treatment is critical for preserving the limited global supply of clean water but remains highly energy-intensive, with growing demand driving increased fossil fuel consumption in WWTPs. This study examines the integration of a dynamic segregation system that adjusts in real-time to fluctuations in water quality and flow. By minimizing unnecessary treatments, the system improves efficiency and reduces energy use. Literature shows that water quality variability is common, and periodic decision-making adjustments enhance treatment effectiveness. As regulatory penalties and inefficiencies grow more costly, dynamic segregation presents a viable long-term solution for sustainable and cost-effective wastewater management.