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Validation of a plant-wide phosphorus modelling approach with minerals precipitation in a full-scale WWTP

Overview of attention for article published in Water Research, May 2016
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Title
Validation of a plant-wide phosphorus modelling approach with minerals precipitation in a full-scale WWTP
Published in
Water Research, May 2016
DOI 10.1016/j.watres.2016.05.003
Pubmed ID
Authors

Christian Kazadi Mbamba, Xavier Flores-Alsina, Damien John Batstone, Stephan Tait

Abstract

The focus of modelling in wastewater treatment is shifting from single unit to plant-wide scale. Plant-wide modelling approaches provide opportunities to study the dynamics and interactions of different transformations in water and sludge streams. Towards developing more general and robust simulation tools applicable to a broad range of wastewater engineering problems, this paper evaluates a plant-wide model built with sub-models from the Benchmark Simulation Model No. 2-P (BSM2-P) with an improved/expanded physico-chemical framework (PCF). The PCF includes a simple and validated equilibrium approach describing ion speciation and ion pairing with kinetic multiple minerals precipitation. Model performance is evaluated against data sets from a full-scale wastewater treatment plant, assessing capability to describe water and sludge lines across the treatment process under steady-state operation. With default rate kinetic and stoichiometric parameters, a good general agreement is observed between the full-scale datasets and the simulated results under steady-state conditions. Simulation results show differences between measured and modelled phosphorus as little as 4-15% (relative) throughout the entire plant. Dynamic influent profiles were generated using a calibrated influent generator and were used to study the effect of long-term influent dynamics on plant performance. Model-based analysis shows that minerals precipitation strongly influences composition in the anaerobic digesters, but also impacts on nutrient loading across the entire plant. A forecasted implementation of nutrient recovery by struvite crystallization (model scenario only), reduced the phosphorus content in the treatment plant influent (via centrate recycling) considerably and thus decreased phosphorus in the treated outflow by up to 43%. Overall, the evaluated plant-wide model is able to jointly describe the physico-chemical and biological processes, and is advocated for future use as a tool for design, performance evaluation and optimization of whole wastewater treatment plants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Student > Master 18 16%
Researcher 16 14%
Student > Bachelor 8 7%
Student > Doctoral Student 6 5%
Other 14 13%
Unknown 24 21%
Readers by discipline Count As %
Engineering 27 24%
Environmental Science 23 21%
Chemical Engineering 10 9%
Agricultural and Biological Sciences 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 7 6%
Unknown 38 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Water Research
#9,084
of 11,875 outputs
Outputs of similar age
#269,745
of 312,399 outputs
Outputs of similar age from Water Research
#111
of 189 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,875 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.