Model Predictive Control Strategy for the Degradation of Pharmaceutically Active Compounds by UV/H2O2 Oxidation Process

Hydroxyl radical (•OH) scavenging demand can be an indicator that represents the water quality characteristics of raw water. It is one key parameters predicting UV/H2O2 system performance and affects operating parameters. Based on •OH demand, we developed a model predictive control strategy to meet target compound removal efficiency energy consumption simultaneously. Selected pharmaceutically active compounds (PhACs) were classified into three groups depending UV direct photolysis susceptibility •OH. Group 1 for photo-susceptible PhACs (acetaminophen, amoxicillin, diclofenac, iopromide, ketoprofen, sulfamethoxazole); group 2 susceptible both oxidation (bisphenol A, carbamazepine, ibuprofen, naproxen, ciprofloxacin, tetracycline); 3 photo-resistant (atenolol, atrazine, caffeine, nitrobenzene). The results modeling achieve 90% at N B plants as follows. For 2, optimized parameter ranges follow (N plant: 510–702 mJ cm−2, H2O2 2.96–3.80 mg L−1, EED 1088–1302 kWh m−3; dose 1179–1397 3.56–7.44 1712–2085 m−3). was confirmed optimal conditions values changed according demand.