In this study a model based approach is developed to support process engineers in how to optimize: 1) energy recovery, 2) chemical use, 3) operational procedures and 4) retrofitting equipment (=capacity liberation) at a full-scale industrial wastewater treatment system treating wastewater from the biotech industry. These models are coded and simulated in a single software platform and generate the holistic benchmarks and metrics to evaluate options prior to implementation. In this way, it is possible to answer the question, should I go for this option? Simulation results show that plant measurements and model predictions range up 15 % difference. The proposed approach is capable of reproducing main streams neutralization, volatile fatty acid production, particulate removal and nitrate denitrification in the first units of the flow diagram (buffer tank, primary clarifier, pre-acidification tank). It also correctly predicts biogas composition as well COD recovery in the form of electricity and heat in the anaerobic granular sludge reactor and the scrubbing unit. Finally, it is possible to describe N and P removal processes, energy consumption, use of chemicals and the quality of sludge after inactivation/dewatering. The final part of the study will show for the very first time a functional plant-wide model of the biggest industrial water plant in Northern Europe and the detailed discussion of different capacity liberation options discussing OPEX supported by simulations. The study shows the huge potential of water digitalization when optimizing water systems.
|Publication status||Published - 2021|
|Event||ProBioRefine 2021 - International workshop on system analysis and technologies for biorefineries - Online event, Kgs. Lyngby, Denmark|
Duration: 6 May 2021 → 7 May 2021
|Conference||ProBioRefine 2021 - International workshop on system analysis and technologies for biorefineries|
|Period||06/05/2021 → 07/05/2021|