@inproceedings{4ad1455e4b3a4cb19d016d86094fda98,
title = "Plant wide modelling of a full-scale industrial water treatment system",
abstract = "In this study a set of mathematical tools are developed and assembled together to assess and predict mass and volumetric flows in industrial water treatment systems (iWTS). The proposed approach is constructed upon a set of data reconciliation methods, influent fractionation routines and process simulations models (and model interfaces) to balance, analyse, reproduce and forecast the behaviour of different compounds within treatment facilities. The proposed approach is tested on full-scale data collected after a five week measuring campaign at the largest iWTS in Northern Europe. Results show that the proposed approach is capable to predict the occurrence, transformation and fate of COD, N, P, S and multiple metals (Na, K, Ca, Mg and Al).",
keywords = "Data reconciliation, Mass balancing, Model simulation, Process systems engineering, Scenario analysis, Wastewater",
author = "Monje, {Vicente T.} and Helena Junicke and Kasper Kjellberg and Gernaey, {Krist V.} and {Flores Alsina}, Xavier",
year = "2023",
doi = "10.1016/B978-0-323-85159-6.50347-X",
language = "English",
isbn = "978-0-443-23553-5",
volume = "49",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "2083--2088",
editor = "Kokossis, {Antonis } and {C. Georgiadis}, {Michael } and {N. Pistikopoulos}, Efstratios",
booktitle = "Proceedings of the 33rd European Symposium on Computer Aided Process Engineering",
address = "United Kingdom",
note = "33rd European Symposium on Computer Aided Process Engineering, ESCAPE33 ; Conference date: 18-06-2023 Through 21-06-2023",
}