Pál Schmitt

ORCID: 0000-0001-8455-952X
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About
Contact & Profiles
Research Areas
  • Wave and Wind Energy Systems
  • Coastal and Marine Dynamics
  • Wind Energy Research and Development
  • Fluid Dynamics Simulations and Interactions
  • Ocean Waves and Remote Sensing
  • Underwater Acoustics Research
  • Particle Detector Development and Performance
  • Cavitation Phenomena in Pumps
  • Fluid Dynamics and Vibration Analysis
  • Marine animal studies overview
  • Ship Hydrodynamics and Maneuverability
  • CCD and CMOS Imaging Sensors
  • Underwater Vehicles and Communication Systems
  • Aerospace Engineering and Energy Systems
  • Water Systems and Optimization
  • Meteorological Phenomena and Simulations
  • Oceanographic and Atmospheric Processes
  • Water Quality Monitoring Technologies
  • Tropical and Extratropical Cyclones Research
  • Seismic Waves and Analysis
  • Computational Fluid Dynamics and Aerodynamics
  • Parallel Computing and Optimization Techniques
  • Fluid dynamics and aerodynamics studies
  • Computational Physics and Python Applications
  • Reservoir Engineering and Simulation Methods

Queen's University Belfast
2015-2023

University of Victoria
2018

Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie
2015

Aquamarine Power (United Kingdom)
2015

Hamburg University of Technology
2015

Université de Strasbourg
2011

Laboratoire de Dynamique des Fluides
2009-2011

Institut de Mécanique des Fluides de Toulouse
2008

Institut National de Physique Nucléaire et de Physique des Particules
1999-2002

Centre National de la Recherche Scientifique
2002

A fully non-linear numerical wave tank (NWT), based on Computational Fluid Dynamics (CFD), provides a useful tool for the analysis of coastal and offshore engineering problems. To generate absorb free surface waves within NWT, variety maker (NWM) methodologies have been suggested in literature. Therefore, when setting up CFD-based user is faced with task selecting most appropriate NWM, which should be driven by rigorous assessment available methods. provide consistent framework quantitative...

10.3390/jmse7020047 article EN cc-by Journal of Marine Science and Engineering 2019-02-13

The computational fluid dynamic (CFD) toolbox OpenFOAM is used to assess the applicability of Reynolds-averaged Navier–Stokes (RANS) solvers simulation oscillating wave surge converters (OWSC) in significant waves. Simulation these flap type devices requires solution equations motion and representation OWSC׳s a moving mesh. A new way simulate sea floor inside section mesh with dissipation zone presented. To accuracy solver, experiments are conducted regular irregular traces for full three...

10.1016/j.oceaneng.2015.07.055 article EN cc-by Ocean Engineering 2015-08-24

Coastal boulder deposits (CBD), transported by waves at elevations above sea level and substantial distances inland, are markers for marine incursions. But whether they tsunami or storm can be difficult to determine. Equations from seminal work Nott (1997), here referred as the Approach, commonly employed calculate nominal wave heights masses, a means discriminate between emplacement mechanisms. Systematic review shows that this approach is based on assumptions not securely founded, direct...

10.3389/fmars.2020.00004 article EN cc-by Frontiers in Marine Science 2020-02-05

Results from the Collaborative Computational Project in Wave Structure Interaction (CCP-WSI) Blind Test Series 3 are presented.Participants, with numerical methods, ranging low-fidelity linear models to high-fidelity Navier-Stokes (NS) solvers, simulate interaction between focused waves and floating structures without prior access physical data.The crest-focused NewWaves various crest heights.Two considered: a hemispherical-bottomed buoy truncated cylinder moon-pool; both taut-moored one...

10.17736/ijope.2020.jc774 article EN International Journal of Offshore and Polar Engineering 2020-02-27

The paper presents results from the Collaborative Computational Project in Wave Structure Interaction (CCP-WSI) Blind Test Series 2. Without prior access to physical data, participants, with numerical methods ranging low-fidelity linear models fully non-linear Navier–Stokes (NS) solvers, simulate interaction between focused wave events and two separate, taut-moored, floating structures: a hemispherical-bottomed cylinder moonpool. ‘blind’ predictions for heave, surge, pitch mooring load, are...

10.1680/jencm.20.00006 article EN Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 2020-10-08

Oscillating wave surge converters are a promising technology to harvest ocean energy in the near shore region. Although research has been going on for many years, characteristics of action structure and especially phase relation between driving force quantities like velocity or surface elevation have not investigated detail. The main reason this is lack suitable methods. Experimental investigations using tank tests do give direct access overall hydrodynamic loads, only damping torque power...

10.1016/j.ijome.2016.07.006 article EN cc-by International Journal of Marine Energy 2016-07-26

During extreme sea states so called impact events can be observed on the wave energy converter Oyster. In small scale experimental tests these cause high frequency signals in measured load which decrease confidence data obtained. These loads depend structural dynamics of model. Amplification occur and is transferred through structure from point to cell located foundation. Since determination design cases for Wave Energy Converters originate experiments, this lack has a direct effect...

10.1016/j.euromechflu.2016.02.005 article EN cc-by European Journal of Mechanics - B/Fluids 2016-03-02

Abstract The vast majority of numerical wave tank applications are solved using finite volume-based, volume fluid methods. One popular modelling framework is OpenFOAM and its two phase solvers, interFoam interIsoFoam , enabling the simulation a broad range marine hydrodynamic phenomena. However, in many applications, certain aspects entire set possible phenomena not interest reduced complexity could allow use simpler, more computationally efficient solvers. barrier for application such...

10.1007/s40722-020-00173-9 article EN cc-by Journal of Ocean Engineering and Marine Energy 2020-08-01

In the frame of a technological research and innovation network in water environment technologies (RITEAU, Réseau de Recherche et d'Innovation Technologique Eau Environnement), our group, collaboration with industrial partners other institutions, has been charge development suitable flowmeter: an ultrasonic device measuring simultaneously flow concentration size classes suspended particles. Working on pulsed ultrasound principle, multi-frequency (1 to 14 MHz) allows velocity height...

10.2166/wst.2009.281 article EN Water Science & Technology 2009-07-01

Computational Fluid Dynamics (CFD) simulations, based on Reynolds-Averaged Navier–Stokes (RANS) models, are a useful tool for wide range of coastal and offshore applications, providing high fidelity representation the underlying hydrodynamic processes. Generating input waves in CFD simulation is performed by Numerical Wavemaker (NWM), with variety different NWM methods existing this task. While NWMs, impulse source methods, have been widely applied wave generation depth averaged, shallow...

10.3390/jmse7030071 article EN cc-by Journal of Marine Science and Engineering 2019-03-19

This paper presents the first blind prediction stage of Tidal Turbine Benchmarking Project being conducted and funded by UK's EPSRC Supergen ORE Hub. In this stage, only steady flow conditions, at low elevated turbulence (3.1%) levels, were considered. Prior to a large laboratory scale experiment was in which highly instrumented 1.6m diameter tidal rotor towed through towing tank well-defined conditions with without an upstream grid. Details test campaign design released as part community...

10.36688/ewtec-2023-574 article EN Deleted Journal 2023-09-02

The mathematical problem of establishing a collision probability distribution is often not trivial. shape and motion the animal as well device must be evaluated in four-dimensional space (3D over time). Earlier work on wind tidal turbines was limited to simplified two-dimensional representation, which cannot applied many new structures. We present numerical algorithm obtain such distributions using transient, three-dimensional simulations. method demonstrated sub-surface kite an example....

10.1371/journal.pone.0188780 article EN cc-by PLoS ONE 2017-11-29

Wastewater regulation and treatment is still a major concern in planetary pollution management. Some pollutants, referred to as particulate matter, consist of very small particles just suspended the water. Various techniques are used for survey. Few them able provide real-time data. The development new, real time instruments needs confrontation with wastewater. Due its instability, modeling wastewater terms solids was explored. Knowing description wastewater, we tried produce synthetic...

10.2166/wst.2011.042 article EN Water Science & Technology 2011-01-01

Experimental testing of physical turbines, often at a smaller scale, is an essential tool for engineers to investigate fundamental design parameters such as power output and efficiency. Despite issues with scaling blockage which are caused by limitations in size flow velocity the test facilities, experimental tank laboratory environments perceived offering more control thus trustworthier results than field testing. This paper presents tests tidal turbine, performed using self-propelled barge...

10.3390/jmse10091182 article EN cc-by Journal of Marine Science and Engineering 2022-08-24

This paper presents the first noise measurements of a quarter-scale subsea tidal kite (anchored to sea floor by tether and flying in figure-eight configuration water column) operating field conditions. Challenges measurement post-processing data are detailed. Results presented for three conditions kite: (1) varying turbine rotations per minute (RPM), (2) speed, (3) twisted tether. Turbine RPM was identified as main parameter influencing emissions.

10.1121/1.5080268 article EN The Journal of the Acoustical Society of America 2018-11-01
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