Coupling a Chemical Reaction Engine with a Mass Flow Balance Process Simulation for Scaling Management in Papermaking Process Waters

Huber, Patrick; Nivelon, Sylvie; Ottenio, Pascal; Nortier, Patrice

doi:10.1021/ie300984y

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…The level of detail in steady state simulation studies varies from small-scale chemical reactions to mill-wide process calculations in many fields of industry. In the pulp and paper industry, steady state simulation has been applied to optimize water consumption [20,21], minimize energy and utility consumption [22][23][24], and evaluate the chemical state of the process [25,26]. Kangas et al [27] defined a steady state simulation model of a kraft pulp mill and evaluated the economic feasibility of the process.…”

Section: Steady State Simulationmentioning

confidence: 99%

Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

et al. 2020

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Researchers have proposed various models for assessing design alternatives for process plant retrofits. Due to the considerable engineering effort involved, no such models exist for the great majority of brownfield process plants, which have been in operation for years or decades. This article proposes a semi-automatic methodology for generating a digital twin of a brownfield plant. The methodology consists of: (1) extracting information from piping and instrumentation diagrams, (2) converting the information to a graph format, (3) applying graph algorithms to preprocess the graph, (4) generating a simulation model from the graph, (5) performing manual expert editing of the generated model, (6) configuring the calculations done by simulation model elements and (7) parameterizing the simulation model according to recent process measurements in order to obtain a digital twin. Since previous work exists for steps (1–2), this article focuses on defining the methodology for (3–5) and demonstrating it on a laboratory process. A discussion is provided for (6–7). The result of the case study was that only few manual edits needed to be made to the automatically generated simulation model. The paper is concluded with an assessment of open issues and topics of further research for this 7-step methodology.

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Section: Steady State Simulationmentioning

confidence: 99%

Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

et al. 2020

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“…Huber et al 2012agree with this. In their simulations, they chose to pick thermodynamic de nitions of volatile fatty acids (acetate, propionate, butyrate and lactate) from MINTEQ.V4.DAT and included them in the PHREEQC code with interactive interface (PHREEQCI) database (Huber et al, 2012). erefore, to answer the question, the F_H.DAT was constructed using available thermodynamic de nitions for the Ca and Mg-fulvate equilibrium phases in Visual MINTEQ.v3.1.1.…”

Section: Speciation Simulations Based On Nom (Fulvic Acid)mentioning

confidence: 99%

Geochemical scaling potential simulations of natural organic matter complexation with metal ions in cooling water at Eskom power generation plants in South Africa

Bosire

Ngila

Nkambule

2018

WSA

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The modified database in the pH, redox equilibrium calculations code (PHREEQC) with a Tipping and Hurley database (T_H.DAT) coupled with the Windermere’s humic acid model (WHAM) was used to simulate scale formation potential in cooling water circuitry, at Eskom power generating stations in South Africa. This study reports a semi-empirical simulative approach in which organic matter fractions, metals and anions in raw and cooling water were used as modelling experimental inputs. By using the saturation index profiles of Ca2+/ Mg2+ with fulvic acid in a modified Tipping and Hurley (T_H.DAT) database, fulvate complex species such as CaFulvate, MgFulvate, and geochemical modelling predictions, mineral phases that potentially precipitate are discussed. Speciation calculations showed that the increase in fulvic acid levels decreased saturation indices of scaling metal phases due to reduced levels of Ca2+ and Mg2+ in the water. Furthermore, if the concentrations of fulvic acid are known, semi-empirical calculations using the geochemical PHREEQC code with a modified T_H.DAT arepossible. Consequently, mineral phase equilibria outputs may give an indication of how the pH and temperature is to be manipulated to optimally predict and control the incidence of scaling.

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“…The level of detail in the simulation studies on conventional pulp and papermaking processes reported in the literature ranges from small-scale chemical reactions to mill-wide process calculations and from steady state to dynamic simulations. The steady state simulation studies have focused on 1) optimizing the raw material, fresh water, energy or utility consumption (Bortolin et al 2004;Turon et al 2005;Cardoso et al 2009;Atkins et al 2010;Ruohonen and Ahtila 2010;Jönsson et al 2011;Mǎluţan and Mǎluţan 2013); 2) the build-up of dissolved substances (Sorsamäki et al 2019); 3) studying the cost implications of different integrated modernization strategies (Hytönen and Stuart 2012); and 4) studying the chemical state of the plant (Clément et al 2011;Huber et al 2013). Although many studies have focused on dynamic simulation and paper machines, only a few approaches to the dynamics of a paper machine at an industrial scale are available (Blanco et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Process simulation-based evaluation of design and operational implications of water-laid paper machine conversion to foam technology

Sorsamäki

Koponen

Hytönen

2021

BioRes

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Foam forming technology has attracted much attention during the past few years in the paper industry. Its advantages compared to conventional water forming are a new product portfolio and increased process efficiency. To support the paper industry in pushing foam forming technology forward, process simulation is needed to provide supporting data for strategic decision-making and as a basis for equipment dimensioning. This study examined the conversion of an existing wallpaper machine from water to foam forming technology using process simulation. To determine the required process configuration and parameter changes in the existing process, both published and unpublished data on the foam forming process were collected. This paper also describes modeling of the foam phase in the selected simulation software. The suitability of existing paper process equipment for foam was analyzed. Simulations revealed that undisturbed operation with foam requires some equipment modifications and re-arrangements in water circuits. With foam forming, the water balance in both short and long circulation changes remarkably compared to conventional water forming, leading to a large increase in the long circulation volume flows.

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Coupling a Chemical Reaction Engine with a Mass Flow Balance Process Simulation for Scaling Management in Papermaking Process Waters

Cited by 6 publications

References 24 publications

Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

Towards Semi-Automatic Generation of a Steady State Digital Twin of a Brownfield Process Plant

Geochemical scaling potential simulations of natural organic matter complexation with metal ions in cooling water at Eskom power generation plants in South Africa

Process simulation-based evaluation of design and operational implications of water-laid paper machine conversion to foam technology

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