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Project
Process optimization of sulfur-based wastewater treatment
Sulfur-based carbon and nitrogen removal from municipal wastewater involves 90% reduction in sludge production, 35% reduction in energy consumption and 35% reduction of CO2 emissions compared to conventional wastewater treatment processes.
This project addresses major challenges limiting full-scale implementation of a sulfur-based process for municipal wastewater treatment. Process optimization will be achieved through steady state design calculations as well as dynamic model simulations.
Date:1 Feb 2017 → 31 Jan 2021
Keywords:numerical simulations, wastewater, physical-based modelling, process design, Wastewater treatment
Disciplines:Information sciences, General chemical and biochemical engineering, Catalysis and reacting systems engineering, Separation and membrane technologies, Chemical product design and formulation, Other information and computing sciences, Theoretical computer science, Distributed computing, Programming languages, Other (bio)chemical engineering, Visual computing, Information systems, Sustainable and environmental engineering, Computer architecture and networks, Applied mathematics in specific fields, Scientific computing, Process engineering, Transport phenomena