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Numerical Investigation of Liquid Sloshing in Carrier Ship Fuel Tanks
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB, Corporate Research, Sweden.ORCID iD: 0000-0002-9490-9703
ABB AB, Corporate Research, Sweden.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB, Corporate Research, Sweden.ORCID iD: 0000-0001-8849-7661
2018 (English)In: IFAC-PapersOnLine, ISSN 2405-8963, Vol. 51, no 2, p. 583-588Article in journal (Refereed) Published
Abstract [en]

Liquid sloshing inside a partially filled tank has a great impact on the fragile internal tank coating and also on the stability of carrier ships. Several studies highlighted the challenges encountered due to the sloshing and proposed anti-sloshing tank structures. However, sloshing of liquefied natural gas fuel in high pressure vessels during transportation still remain a challenge. In the present numerical study we consider a downscaled 2D geometry to investigate the sloshing. Non-dimensional numbers are used to downscale the geometry. The purpose is to understand the flow structures and validate the downscaling approach based on the similarity scale laws. In the present work, Computational Fluid Dynamics (CFD) based on the Reynolds Averaged Navier-Stokes equations (RANS) with the Volume of Fluid (VOF) method in one hand and the Smooth Particle Hydrodynamics (SPH) method in the other hand, are used to simulate the downscaled model. The results from both methods are compared and validated using experimental data. A full scale model have also been simulated using SPH to verify the applicability of the scaling laws. The SPH model shows the capability to efficiently capture the sloshing phenomena. The VOF and SPH provide similar results in terms of flow dynamics, pressure and forces. The overall numerical results agree with the measurements and show that SPH can be an efficient tool to be used in modelling sloshing phenomena, compared to the RANS-VOF approach which is expensive in terms of CPU time. However, features like turbulence need to be further investigated. 

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. Vol. 51, no 2, p. 583-588
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-39302DOI: 10.1016/j.ifacol.2018.03.098ISI: 000435693000100Scopus ID: 2-s2.0-85046702547OAI: oai:DiVA.org:mdh-39302DiVA, id: diva2:1209909
Available from: 2018-05-24 Created: 2018-05-24 Last updated: 2018-11-01Bibliographically approved
In thesis
1. Fluid Flow and Heat Transfer Simulations for Complex Industrial Applications: From Reynolds Averaged Navier-Stokes towards Smoothed Particle Hydrodynamics
Open this publication in new window or tab >>Fluid Flow and Heat Transfer Simulations for Complex Industrial Applications: From Reynolds Averaged Navier-Stokes towards Smoothed Particle Hydrodynamics
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Optimal process control can significantly enhance energy efficiency of heating and cooling processes in many industries. Process control systems typically rely on measurements and so called grey or black box models that are based mainly on empirical correlations, in which the transient characteristics and their influence on the control parameters are often ignored. A robust and reliable numerical technique, to solve fluid flow and heat transfer problems, such as computational fluid dynamics (CFD), which is capable of providing a detailed understanding of the multiple underlying physical phenomena, is a necessity for optimization, decision support and diagnostics of complex industrial systems. The thesis focuses on performing high-fidelity CFD simulations of a wide range of industrial applications to highlight and understand the complex nonlinear coupling between the fluid flow and heat transfer. The industrial applications studied in this thesis include cooling and heating processes in a hot rolling steel plant, electric motors, heat exchangers and sloshing inside a ship carrying liquefied natural gas. The goal is to identify the difficulties and challenges to be met when simulating these applications using different CFD tools and methods and to discuss the strengths and limitations of the different tools.

The mesh-based finite volume CFD solver ANSYS Fluent is employed to acquire detailed and accurate solutions of each application and to highlight challenges and limitations. The limitations of conventional mesh-based CFD tools are exposed when attempting to resolve the multiple space and time scales involved in large industrial processes. Therefore, a mesh-free particle method, smoothed particle hydrodynamics (SPH) is identified in this thesis as an alternative to overcome some of the observed limitations of the mesh-based solvers. SPH is introduced to simulate some of the selected cases to understand the challenges and highlight the limitations. The thesis also contributes to the development of SPH by implementing the energy equation into an open-source SPH flow solver to solve thermal problems. The thesis highlights the current state of different CFD approaches towards complex industrial applications and discusses the future development possibilities.

The overall observations, based on the industrial problems addressed in this thesis, can serve as decision tool for industries to select an appropriate numerical method or tool for solving problems within the presented context. The analysis and discussions also serve as a basis for further development and research to shed light on the use of CFD simulations for improved process control, optimization and diagnostics.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2018
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 282
Keywords
Computational Fluid Dynamics, Heat transfer, Industrial applications, Reynolds Averaged Navier-Stokes, Smoothed Particle Hydrodynamics, Energy enginnering, Thermal Management, Process control
National Category
Energy Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-41277 (URN)978-91-7485-415-2 (ISBN)
Public defence
2018-12-14, Delta, Mälardalens högskola, Västerås, 13:00 (English)
Opponent
Supervisors
Available from: 2018-11-02 Created: 2018-11-01 Last updated: 2018-11-12Bibliographically approved

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Hosain, Md LokmanBel Fdhila, Rebei

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