Development and Validation of an Advanced Stirling Convertor Model and Simulation Tool

2014 ◽  
Author(s):  
Jonathan Metscher ◽  
Edward J. Lewandowski
Keyword(s):  
Simulation Tool ◽  
Model And Simulation ◽  
Development And Validation

Development of a Model and Simulation Tool to Predict Hydrate Growth in Flowlines for Gas Hydrate Production

2020 ◽  
Author(s):  
Shunsuke Sakurai ◽  
Bruce Norris ◽  
Ben Hoskin ◽  
Joel Choi ◽  
Tomoya Nonoue ◽  
...  
Keyword(s):  
Gas Hydrate ◽  
Simulation Tool ◽  
Model And Simulation

Simulation of an Offshore Wind Turbine Using a Weakly-Compressible CFD Solver Coupled With a Blade Element Turbine Model

2019 ◽  
Author(s):  
Baptiste Elie ◽  
Guillaume Oger ◽  
David Le Touzé
Keyword(s):  
Wind Turbine ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Simulation Tool ◽  
Weakly Compressible ◽  
Element Simulation ◽  
Development And Validation ◽  
Elastic Modules ◽  
Turbine Model ◽  
Blade Element

Abstract The present study addresses the first steps of development and validation of a coupled CFD-BE (Blade Element) simulation tool dedicated to offshore wind turbine farm modelling. The CFD part is performed using a weakly-compressible solver (WCCH). The turbine is taken into account using FAST (from NREL) and its effects are imposed into the fluid domain through an actuator line model. The first part of this paper is dedicated to the presentation of the WCCH solver and its coupling with the aero-elastic modules from FAST. In a second part, for validation purposes, comparisons between FAST and the WCCH-FAST coupling are presented and discussed. Finally, a discussion on the performances, advantages and limitations of the formulation proposed is provided.

Validating the Coupling of Multibody Dynamic Simulations With Sea Keeping Simulations

2013 ◽  
Author(s):  
Stephan D. A. Hannot ◽  
Jan G. Los ◽  
Bram A. W. van Spaendonk ◽  
Alex B. Kruijswijk ◽  
Albert C. L. de Krijger
Keyword(s):  
Surface Wave ◽  
Theory Development ◽  
Simulation Tool ◽  
Floating Structure ◽  
Dynamic Simulations ◽  
Open Sea ◽  
Multibody Dynamic ◽  
Development And Validation ◽  
Wave Induced ◽  
Important Design

Dredging is the activity of excavating soil or other sediments from the bottom of a water body such as a lake or sea. The purpose of dredging varies: e.g. maintaining the depth of waterways or obtaining material for beach nourishment. Most ‘dredgers’ are composed of a floating structure (ship or pontoon) on which the dredging equipment that is used to excavate at the seabed is installed. Dredging at open sea, offshore dredging, becomes a more common operating condition. This means that dredgers will have to be designed with surface wave induced motions and forces in mind. Therefore simulating the motions of dredgers due to surface waves coupled with the motion of the dredging equipment is an important design analysis step. This requires a tool that can simulate a coupled sea keeping and multibody dynamic problem. In this work the theory, development and validation of such a simulation tool are discussed.

Lithium Ion Dynamic Battery Pack Model and Simulation for Automotive Applications

2009 ◽  
Author(s):  
Benjamin J. Yurkovich ◽  
Yann Guezennec
Keyword(s):  
Lithium Ion ◽  
Battery Pack ◽  
Parameter Distribution ◽  
Battery Management System ◽  
Simulation Tool ◽  
Battery Management ◽  
Automotive Applications ◽  
Computationally Efficient ◽  
Model And Simulation ◽  
Battery Packs

In this paper, we introduce a lumped parameter, distributed battery pack dynamic model which allows simulation of the electrical dynamics of all the cells in an arbitrarily configured series/parallel pack typical of those used in automotive applications. The dynamic pack simulator is based on the development of an analytical solution for the dynamic response of a single cell and an analytical development of such elemental solutions into a distributed dynamic pack model which can resolve the dynamics of each cell within the pack. This formulation leads to a computationally efficient simulation tool appropriate for application on large battery packs. This simulation tool is then used to perform Monte Carlo simulations on typical automotive current profiles for packs made of cells with a statistical distribution of parameters. A mild distribution of cell mismatch leads to cell unbalance development and statistical metrics for the growth unbalance, presented and related to both current severity and cell parameter distribution. The tool is ideally suited for studies in Battery Management System (BMS) algorithm development, as well as model-based fault propagation and diagnostics.

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