Fluidisation characteristics of granular activated carbon in drinking water treatment applications

• Published in: Advanced powder technology : the international journal of the Society of Powder Technology, Japan Vol. 32; no. 9; pp. 3174 - 3188
• Main Authors: Kramer, O.J.I., van Schaik, C., Dacomba-Torres, P.D.R., de Moel, P.J., Boek, E.S., Baars, E.T., Padding, J.T., van der Hoek, J.P.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021
• Subjects: Drinking water treatment; Expansion characteristics; Granular activated carbon; Green-based materials; Liquid-solid fluidization; Porosity prediction modelling; Drinking water treatment; Green-based materials; Porosity prediction modelling; Granular activated carbon; Expansion characteristics; Liquid-solid fluidization
• ISSN: 0921-8831; 1568-5527
• DOI: 10.1016/j.apt.2021.06.017

[Display omitted] •Estimating the expansion of granular activated carbon (GAC) in water is complex.•The incipient porosity of GAC is much higher compared to rigid particles.•Combining fluidisation and characterisation experiments enables fluidisation modelling.•GAC fluidisation modelling is complex but possible. Granular activated carbon (GAC) filtration is an important unit operation in drinking water treatment. GAC filtration is widely used for its filtration and adsorption capabilities as a barrier for undesired organic macro- and micro-pollutants. GAC filtration consists of two successive phases: adsorption and filtration, capturing the impurities from the water in conjunction with a backwash procedure in which the suspended particles are flushed out of the system. Available literature predominantly focusses on adsorption. A less frequently discussed but nevertheless equally crucial aspect of this operation is the backwash procedure of GAC beds. To prevent accumulation of suspended particles and to avoid additional operation costs, optimal backwashing is required. Another factor is sustainability: water utilities are showing increasing interest in exploring new sustainable GAC media. As these have different bed expansion tendencies due to different GAC characteristics with varying geometries, operational developments are needed for prediction models to estimate the expansion degree during backwashing. The prediction of the bed expansion of GAC is complex as the particles are non-spherical, porous and polydisperse. Through a combination of advanced particle laboratory and fluidisation experiments, we demonstrate a new approach which leads to an improved expansion prediction model for the backwashing of GAC filters.