HCTF-PRO: A code for probabilistic analysis of process efficiency in helically coiled tube flocculators

In water treatment, ensuring adequate quantity and quality is crucial. The coagulation/flocculation stage is a focus of ongoing research, with novel methods being explored. Among these, the helically coiled tube flocculator (HCTF) has shown promising results in turbidity removal with reduced processing times. This study introduces a computational tool to determine the optimal HCTF length and conducts a probabilistic performance analysis. The analysis considers the uncertainties in hydraulic parameters following the definition of the flocculator’s geometric parameters, contributing to a deeper understanding and optimization of HCTF applications in water treatment. • HCTF design improves turbidity removal in water treatment processes. • Process times in HCTF are much shorter than those in conventional flocculators. • HCTF operates efficiently without external energy, enhancing sustainability. • Computational code optimizes HCTF length for maximum performance. • Probabilistic analysis addresses uncertainty in HCTF hydraulic parameters.

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Publication Details

Journal
Software Impacts
Published
2024-11-01
DOI
https://doi.org/10.1016/j.simpa.2024.100717
Primary Topic
Minerals Flotation and Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

HCTF-PRO: A code for probabilistic analysis of process efficiency in helically coiled tube flocculators

Danieli Soares de Oliveira, Clainer Bravin Donadel
Software Impacts
Minerals Flotation and Separation Techniques
article

HCTF-PRO: A code for probabilistic analysis of process efficiency in helically coiled tube flocculators

Danieli Soares de Oliveira, Clainer Bravin Donadel
article en

Abstract

In water treatment, ensuring adequate quantity and quality is crucial. The coagulation/flocculation stage is a focus of ongoing research, with novel methods being explored. Among these, the helically coiled tube flocculator (HCTF) has shown promising results in turbidity removal with reduced processing times. This study introduces a computational tool to determine the optimal HCTF length and conducts a probabilistic performance analysis. The analysis considers the uncertainties in hydraulic parameters following the definition of the flocculator’s geometric parameters, contributing to a deeper understanding and optimization of HCTF applications in water treatment. • HCTF design improves turbidity removal in water treatment processes. • Process times in HCTF are much shorter than those in conventional flocculators. • HCTF operates efficiently without external energy, enhancing sustainability. • Computational code optimizes HCTF length for maximum performance. • Probabilistic analysis addresses uncertainty in HCTF hydraulic parameters.

Software ImpactsVol. 22
Instituto Federal do Espírito Santo (BR), Universidade Federal do Espírito Santo (BR)
Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo
Affordable and clean energy
Openalex Percentile: Top 80%
Minerals Flotation and Separation Techniques
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