Process optimization of sulfur-based wastewater treatment

01 February 2017 → 31 January 2021
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Catalysis and reacting systems engineering
    • Chemical product design and formulation
    • General chemical and biochemical engineering
    • Process engineering
    • Separation and membrane technologies
    • Sustainable and environmental engineering
    • Transport phenomena
    • Other (bio)chemical engineering
wastewater process design physical-based modelling Wastewater treatment numerical simulations
Project description

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.