HydDown: A Python package for calculation of hydrogen (or other gas) pressure vessel filling and discharge

Andreasen, Anders

doi:10.21105/joss.03695

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…REFPROP can be specified to be used both for pure CO 2 and for mixtures. This work is a continuation of a previous work [22] with the purpose of building useful engineering tools on top of high quality open source software packages. RAMDECOM is developed entirely in python 3 and also relies on other python packages such as pandas [23], matplotlib [24], and numpy [25].…”

Section: Decompression Wave Speedmentioning

confidence: 91%

“…Thereby, the methodological possibility of comparison forms the basis to make competent decisions why certain decision support should be implemented with concrete methods [20] or to what extent models can be combined to hybrid approaches [21]. In the course of the Covid-19 crisis, model comparisons were used in Austria in advising the federal government by implementing three different model approaches and comparing them on a weekly basis [23] , a current example of the comparison of models used SNE 3 (4) -12/2022 (also internationally) is the ECDC Covid-19 Scenario Hub [24] The approaches mentioned are not limited to the level of population modelling, an example of which is [22]. The microscopic behavioural aspects like motion and proliferation of 'pigment cells'of the human skin are implemented using basic principles of agent-based simulation whereas the complex geometry of the microphysiological environment of melanocytes is modeled using the techniques of differential geometry.…”

Section: Implementation and Examplesmentioning

confidence: 99%

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2022

SNE

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Dear Readers, In this issue SNE 32(4) two very interesting Overview Notes on issues of fitness for train simulation models by D. J. Murray-Smith, and on methods for integrated simulation by N. Popper, frame Technical Notes and Benchmark Notes. While A. Andreasen et al. present a tool for calculating CO2 pipeline wave speed, P. Junglas et al. sketch implementation of examples with NSA-DEVS, and Brunner & Hametner review recommender systems in the medical domain, and P. Bauerstätter introduces into COMPASI-based compartment modeling for diets effects. And we are very glad, that the series of ARGESIM Benchmarks Notes is continued by a parallel and distributed simulation' with Open MPI/GSL and Matlab PCT for Monte-Carlo and PDE case studies by D. Jammer et al. -one of the rare contributions for the 2 nd Parallel Benchmark.For SNE Volume 32, Vlatco eri , Past President of the Croatian Simulation Society, provided his artwork as cover pictures for SNE covers, graphics from his series AMULETS. After Amulet 3, 4 an5 this issue completes the series with Amulet 1 (below).I would like to thank all authors for their contributions in 2022, and thanks to the editorial board members for review and support, and to the organizers of the EUROSIM conferences for co-operation in post-conference contributions. And many thanks to the SNE Editorial Office for layout, typesetting, preparations for printing, electronic publishing, and much more. And again, we are glad, that after the series of virtual conferences we can promote again EUROSIM face-to-face conferences, the EUROSIM Con-

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Section: Decompression Wave Speedmentioning

confidence: 91%

Section: Implementation and Examplesmentioning

confidence: 99%

Untitled

2022

SNE

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Section: Decompression Wave Speedmentioning

confidence: 91%

An Open Source Tool for Calculating CO2 Pipeline Decompression Wave Speed

Andreasen¹,

Sousa²,

Agustsson³

2022

SNE

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This paper describes a simplified calculation method for pipeline decompression wave speed based on a rigorous equation of state for pure CO 2 as well as mixtures with significant impurities. Calculations are performed assuming homogeneous equilibrium for the estimation of the speed of sound in the two-phase region and calculations are performed along an isentropic decompression path. These calculations are important for the design of pipelines and can be used to estimate the required wall thickness and/or material toughness when combined with e.g. the Battelle two curve method, thereby ensuring that a potential running ductile fracture is arrested. The calculations are validated against available literature data and is offered as an open source tool.For pure CO 2 at supercritical conditions the model results match experimental results very well, whereas for the dense liquid phase the pressure plateau in the decompression wave speed curve is over-predicted. For CO 2 with impurities the model calculations generally match experimental data, except for the experiment with a significant fraction of hydrogen and for the experiment with the highest amount of impurities of approx. 6%. In these two cases the pressure plateau is under-predicted.

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Modeling hydrogen storage capacities, injection and withdrawal cycles in salt caverns: Introducing the GeoH2 salt storage and cycling app

Maraggi

Moscardelli

2023

International Journal of Hydrogen Energy

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HydDown: A Python package for calculation of hydrogen (or other gas) pressure vessel filling and discharge

Cited by 5 publications

References 16 publications

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Untitled

An Open Source Tool for Calculating CO2 Pipeline Decompression Wave Speed

Modeling hydrogen storage capacities, injection and withdrawal cycles in salt caverns: Introducing the GeoH2 salt storage and cycling app

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