Rapid salinity measurements for fluid flow characterisation using minimal invasive sensors

Severin, Timm Steffen; Plamauer, Sebastian; Apel, Andreas Christoph; Brück, Thomas; Weuster‐Botz, Dirk

doi:10.1016/j.ces.2017.03.014

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…The inlet tank was validated using tracer experiments as described in . Applying a salinity pulse at the tanks inlet surface, measurements at eight different positions in the tank could be compared to concentrations simulated in the CFD environment.…”

Section: Reactor Unit Models: Results and Applicationsmentioning

confidence: 99%

“…The inlet tank was validated using salinity measurements that corresponded to the simulation of a passive species transport. For this purpose special salinity sensors were developed as described before . Eight sensors were positioned inside the inlet tank itself as well as on the weir connecting the tank and the subsequent channel (compare supporting information).…”

Section: Methodsmentioning

confidence: 99%

“…For the fluid height a ruler (thickness less than 0.5 mm) was used perpendicular to the channel ground at multiple positions in the center of the channel. To measure the fluid velocity, four salinity sensors were positioned with a distance of 60 cm from each other. A pulse of highly concentrated salt solution was added at the beginning of the channel.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Validated numerical fluid simulation of a thin‐layer cascade photobioreactor in OpenFOAM

Severin

Brück

Weuster‐Botz

2018

Engineering in Life Sciences

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Recently, microalgae have been considered as a promising alternative for the production of biofuels from CO2. For the efficient cultivation of these microalgae, several types of photobioreactors have been designed and Pilot scale photobioreactors have been used to assess the performance of these reactors. Therein the primarily investigated reactor type is the Raceway Pond. However, the less researched Thin‐Layer Cascade Photobioreactor (TLC) shows a high potential for efficient production processes. Unfortunately, for low‐value products like biofuels costs must be kept to a minimum for an economic operation. To facilitate this, 3D Computational Fluid Dynamic simulations can be employed to estimate performance of reactor variants e.g. with respect to power input and mixing. Since up to now little effort has been put into the modelling of TLC reactors, this report aims to present a simulation approach for these reactors types that allows simple adaptation to different geometric or operational boundary conditions. All models have been generated for a two‐phase mixture in OpenFOAM. To demonstrate its applicability, validation measurements with a physical unit have been performed and were compared to the simulation results. With errors in the order of 10 % a successful simulation of the reactor geometry could be proven.

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Section: Reactor Unit Models: Results and Applicationsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Validated numerical fluid simulation of a thin‐layer cascade photobioreactor in OpenFOAM

Severin

Brück

Weuster‐Botz

2018

Engineering in Life Sciences

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“…Since the TLC photobioreactor has a mixing time on a timescale of minutes to achieve 99% homogeneity, it can be assumed to be ideally mixed with respect to microalgal growth, which takes place on a timescale of hours [43]. Therefore, the general mass balance of component i with concentration c i in an ideally mixed reactor at identical inlet and outlet volume flows is given by Equation ( 13) with time t, the dilution rate D = .…”

Section: Simulation Of Microalgal Growth and Lipid Formationmentioning

confidence: 99%

Continuous Production of Lipids with Microchloropsis salina in Open Thin-Layer Cascade Photobioreactors on a Pilot Scale

et al. 2021

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Studies on microalgal lipid production as a sustainable feedstock for biofuels and chemicals are scarce, particularly those on applying open thin-layer cascade (TLC) photobioreactors under dynamic diurnal conditions. Continuous lipid production with Microchloropsis salina was studied in scalable TLC photobioreactors at 50 m2 pilot scale, applying a physically simulated Mediterranean summer climate. A cascade of two serially connected TLC reactors was applied, promoting biomass growth under nutrient-replete conditions in the first reactor, while inducing the accumulation of lipids via nitrogen limitation in the second reactor. Up to 4.1 g L−1 of lipids were continuously produced at productivities of up to 0.27 g L−1 d−1 (1.8 g m2 d−1) at a mean hydraulic residence time of 2.5 d in the first reactor and 20 d in the second reactor. Coupling mass balances with the kinetics of microalgal growth and lipid formation enabled the simulation of phototrophic process performances of M. salina in TLC reactors in batch and continuous operation at the climate conditions studied. This study demonstrates the scalability of continuous microalgal lipid production in TLC reactors with M. salina and provides a TLC reactor model for the realistic simulation of microalgae lipid production processes after re-identification of the model parameters if other microalgae and/or varying climate conditions are applied.

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“…Fluidflowcharacterizationhasapplicationsinnumerousfields,especiallywheredifferentphases of fluid are present. For example, Schubert (2016) designed an experimental set up to generate signature patterns of fluid flow on distillation trays with the aim to improve the fluid flow and achievebetterefficiency.Awire-meshsensortechniqueisusedtomodeltheflowpattern.Similarly Severin(2017)proposesaminimalinvasivesensorsolutionforparallelsalinitymeasurementaimed atcharacterizingthehydrodynamicsofreactorshandlingaqueousliquid. Wen(2018)developedan imageprocessingtechniquetomeasurevolumeandsurfaceareaofbubbles,proposinganalgorithm suitabletocharacterizelargeandseverelydeformedbubbles,makingitpossibletorelatethevolume of the bubbles to the gas flow rate.…”

Section: Related Workmentioning

confidence: 99%

A Machine Learning Approach to Tracking and Characterizing Planar or Near Planar Fluid Flow

Gooroochurn

Kerr

Bouazza-Marouf

2020

International Journal of Natural Computing Research

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This paper presents a framework to segment planar or near-planar fluid flow and uses artificial neural networks to characterize fluid flow by determining the rate of flow and source of the fluid, which can be applied in various areas (e.g., characterizing fluid flow in surface irrigation from aerial pictures, in leakage detection, and in surgical robotics for characterizing blood flow over an operative site). For the latter, the outcome enables to assess bleeding severity and find the source of the bleeding. Based on its importance in assessing injuries and from a medical perspective in directing the course of surgery, fluid flow assessment is deemed to be a desirable addition to a surgical robot's capabilities. The results from tests on fluid flows generated from a test rig show that the proposed methods can contribute to an automated characterization of fluid flow, which in the presence of several fluid flow sources can be achieved by tracking the flows, determining the locations of the sources and their relative severities, with execution times suitable for real-time operation.

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Rapid salinity measurements for fluid flow characterisation using minimal invasive sensors

Cited by 9 publications

References 7 publications

Validated numerical fluid simulation of a thin‐layer cascade photobioreactor in OpenFOAM

Validated numerical fluid simulation of a thin‐layer cascade photobioreactor in OpenFOAM

Continuous Production of Lipids with Microchloropsis salina in Open Thin-Layer Cascade Photobioreactors on a Pilot Scale

A Machine Learning Approach to Tracking and Characterizing Planar or Near Planar Fluid Flow

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