Ayabakan saygin
1
A new programming interface The need for multi-disciplinary computations brings a requirement to have at least a software based infrastructure which is capable to orchestrate different programs that are usually produced as stand- alone programs on their specific subjects and fields. In this regard, due to its high-level, general-purpose and object- oriented characteristics, Python is a promising alternative which could allow construction of such high-level infrastructures in several integration levels. Owing to its clean and easier to write/read syntax as well as large number of various specific purpose libraries that are usually freely available, Python is also a viable alternative to C++ [1] . For instance, by using Python one could either develop a code management environment for data exchange between stand-alone programs by I/O files or memory handling [2] , or by using wrappers (as a code glue) around native source codes to import them as libraries and modules inside the programming interface in order to get advantage of their low-level fast run-time properties. References [1] H. Langtangen. A case study in high-performance mixed-language programming. In: B. Kågström, et al. (Eds.), Applied Parallel Computing, State of the Art in Scientific Computing, Lecture Notes in Computer Science, vol. 4699, Springer 2007, pp. 36–49. [2] A.M. Wissink, et al. A Multi-Code Python-Based Infrastructure for Overset CFD with Adaptive Cartesian Grids. 46th AIAA Aerosciences Conference, Reno, AIAA Paper 2008-927, Jan. 2008. [3] L. Makkonen, et al. Modelling and prevention of ice accretion on wind turbines. Wind Engineering, vol. 25, no. 1, 2001. VTT Wind Power Technologies Tekniikantie 4 A, P. O. Box 1000 FI-02044 VTT, Espoo, Finland Contact details: Jeroen Dillingh, D.Sc. Senior scientist +358 20 722 6132 [email protected] Winterwind 2013, Feb. 12-13, Östersund, Sweden Topic #2: Ice management and optimization of low-temperature adaptations Abstract TURBICE (Turbine Blade Icing Model) is the in-house two-dimensional wind turbine blades ice accretion simulation program of VTT. Development of the program started in 1991, new features have been added throughout the time, and also some of the constituent models of the program have been modified since its introduction. The program has been verified via comparisons with the results of its counterpart programs as well as with icing wind tunnel experiments. The program has proved itself as one of the main components of wind turbine blades ice prevention systems development and design process by simulating required operating conditions in cold climate and arctic environments to estimate heating energy demands. Recently, construction of a new programming architecture and interface for TURBICE is proposed and currently under progress, which envisions an object-oriented programming (OOP) interface using Python programming language, at the same time maintaining advantages of low-level programming languages, such as FORTRAN, by utilizing Python as code glue. By utilizing OOP approach, usability, modularity, flexibility and extendibility of the program will be enhanced to a great extent, which will also enable using the program coupled with other related simulation programs in order to get advantage of multi-physics simulations of engineering systems (i.e. fluid-structure interaction analysis of iced blades, fluid-structure-control mechanism interaction simulations). In this poster, development phases and some technical aspects of the current TURBICE are highlighted, along with introducing the new programming interface for further development of the program. VTT TECHNICAL RESEARCH CENTRE OF FINLAND www.vtt.fi Sayg n Ayabakan Wind Power Technologies, VTT Technical Research Centre of Finland, Espoo TURBICE - the Turbine Blade Icing Model, and its further development via a new interface Program is based on: Utilizing panel methods for incompressible potential flow field calculations around airfoil cross- sections. Releasing droplets from their initial positions in front of the airfoil cross- section and calculating their trajectories by Lagrangian droplet tracking technique. Finding droplet impingement locations and collision efficiencies along the surface in order to simulate ice accretion on an operating wind turbine blade surface in a pseudo-3D setting. This process enables finding the required heat amount to prevent ice accretion on the wind turbine blades. The model is able to simulate both rime (dry) and glaze (wet) icing, as well as simulating an operating blade heating system. TURBICE U [m/s] T [K] LWC [g/m 3 ] MVD [ m] Time [s] 92.54 257.60 0.33 20.0 1224.0 U [m/s] T [C] LWC [g/m 3 ] MVD [ m] Time [m] 58.0 a) -13.9 b) -2.80 1.3 20.0 a) 7 b) 8 Further development of the program Further development of the program has been a continuous process and has been going on regarding various improvements and enhancements of the physical methodologies included in the program. For example, improvement of the boundary layer methodology and its implementation is currently one of these subject areas. One another important physical phenomenon when considering wind turbine operations in cold and arctic climates is the increased loading of the wind turbine blades due to high density of cold air and the loads induced by accreted ice which leads to undesirable consequences such as: • Load imbalance excessive vibration increased fatigue loading reduced life-time of the wind turbine parts Furthermore, some other undesirable effects are: • Change of the aerodynamic shape therefore the performance of the wind turbine blade overall performance degradation • Ice shedding operation safety risks In order to better understand and simulate the physical environment, ice accretion research coupled to a structural analysis simulation is of high importance. Considering the wind turbine operations these types of multi-physics simulations are known as fluid-structure interaction and fluid-structure-control mechanism interaction simulations. One of the promising alternatives to conduct such simulations is by coupling these isolated fluid, structural, control mechanism environments in various interaction levels (i.e. loose or tight coupling). Another would be to provide a unified physics and, therefore, a unified set of governing equations. main TURBICE interface GUI alternatives numerical visualisation etc. … and many different Python library alternatives FORTRAN core computation modules wrapper (F2Py) revision control system stand-alone programs data exchange interface Sayg n Ayabakan, M.Sc. Research scientist, PhD student, LUT Energy +358 20 722 6782 [email protected] a b TURBICE simulations [3] NACA0012
-
Upload
winterwind -
Category
Technology
-
view
1.690 -
download
0
description
Transcript of Ayabakan saygin
A new programming interfaceThe need for multi-disciplinary computations brings a requirement tohave at least a software based infrastructure which is capable toorchestrate different programs that are usually produced as stand-alone programs on their specific subjects and fields.In this regard, due to its high-level, general-purpose and object-oriented characteristics, Python is a promising alternative which couldallow construction of such high-level infrastructures in severalintegration levels.Owing to its clean and easier to write/read syntax as well as largenumber of various specific purpose libraries that are usually freelyavailable, Python is also a viable alternative to C++ [1].For instance, by using Python one could either develop a codemanagement environment for data exchange between stand-aloneprograms by I/O files or memory handling [2], or by using wrappers (asa code glue) around native source codes to import them as librariesand modules inside the programming interface in order to getadvantage of their low-level fast run-time properties.
References[1] H. Langtangen. A case study in high-performance mixed-language programming.In: B. Kågström, et al. (Eds.), Applied Parallel Computing, State of the Art in ScientificComputing, Lecture Notes in Computer Science, vol. 4699, Springer 2007, pp. 36–49.
[2] A.M. Wissink, et al. A Multi-Code Python-Based Infrastructure for Overset CFD withAdaptive Cartesian Grids. 46th AIAA Aerosciences Conference, Reno, AIAA Paper 2008-927,Jan. 2008.
[3] L. Makkonen, et al. Modelling and prevention of ice accretion on wind turbines. WindEngineering, vol. 25, no. 1, 2001.
VTT Wind Power TechnologiesTekniikantie 4 A, P. O. Box 1000FI-02044 VTT, Espoo, Finland
Contact details: Jeroen Dillingh, D.Sc.Senior scientist+358 20 722 [email protected]
Winterwind 2013, Feb. 12-13, Östersund, SwedenTopic #2: Ice management and optimization of low-temperature adaptations
AbstractTURBICE (Turbine Blade Icing Model) is the in-house two-dimensional windturbine blades ice accretion simulation program of VTT. Development of theprogram started in 1991, new features have been added throughout the time,and also some of the constituent models of the program have been modifiedsince its introduction. The program has been verified via comparisons withthe results of its counterpart programs as well as with icing wind tunnelexperiments. The program has proved itself as one of the main componentsof wind turbine blades ice prevention systems development and designprocess by simulating required operating conditions in cold climate and arcticenvironments to estimate heating energy demands.Recently, construction of a new programming architecture and interface forTURBICE is proposed and currently under progress, which envisions anobject-oriented programming (OOP) interface using Python programminglanguage, at the same time maintaining advantages of low-levelprogramming languages, such as FORTRAN, by utilizing Python as codeglue. By utilizing OOP approach, usability, modularity, flexibility andextendibility of the program will be enhanced to a great extent, which will alsoenable using the program coupled with other related simulation programs inorder to get advantage of multi-physics simulations of engineering systems(i.e. fluid-structure interaction analysis of iced blades, fluid-structure-controlmechanism interaction simulations).In this poster, development phases and some technical aspects of thecurrent TURBICE are highlighted, along with introducing the newprogramming interface for further development of the program.
VTT TECHNICAL RESEARCH CENTRE OF FINLANDwww.vtt.fi
Sayg n AyabakanWind Power Technologies, VTT Technical Research Centre of Finland, Espoo
TURBICE - the Turbine Blade Icing Model, and its further development via a new interface
Program is based on:Utilizing panel methods forincompressible potential flow fieldcalculations around airfoil cross-sections.Releasing droplets from their initialpositions in front of the airfoil cross-section and calculating theirtrajectories by Lagrangian droplettracking technique.Finding droplet impingementlocations and collision efficienciesalong the surface in order to simulateice accretion on an operating windturbine blade surface in a pseudo-3Dsetting.This process enables finding therequired heat amount to prevent iceaccretion on the wind turbine blades.The model is able to simulate bothrime (dry) and glaze (wet) icing, aswell as simulating an operating bladeheating system.
TURBICE
U[m/s]
T[K]
LWC[g/m3]
MVD[ m]
Time[s]
92.54 257.60 0.33 20.0 1224.0
U[m/s]
T[C]
LWC[g/m3]
MVD[ m]
Time[m]
58.0a) -13.9b) -2.80
1.3 20.0a) 7b) 8
Further development of the programFurther development of the program has been a continuous processand has been going on regarding various improvements andenhancements of the physical methodologies included in the program.For example, improvement of the boundary layer methodology and itsimplementation is currently one of these subject areas.One another important physical phenomenon when considering windturbine operations in cold and arctic climates is the increased loadingof the wind turbine blades due to high density of cold air and the loadsinduced by accreted ice which leads to undesirable consequencessuch as:• Load imbalance excessive vibration increased fatigue loading
reduced life-time of the wind turbine partsFurthermore, some other undesirable effects are:• Change of the aerodynamic shape therefore the performance of the wind
turbine blade overall performance degradation• Ice shedding operation safety risks
In order to better understand and simulate the physical environment,ice accretion research coupled to a structural analysis simulation is ofhigh importance. Considering the wind turbine operations these typesof multi-physics simulations are known as fluid-structure interactionand fluid-structure-control mechanism interaction simulations. Oneof the promising alternatives to conduct such simulations is by couplingthese isolated fluid, structural, control mechanism environments invarious interaction levels (i.e. loose or tight coupling). Another wouldbe to provide a unified physics and, therefore, a unified set ofgoverning equations.
main TURBICE interface
GUI alternatives numerical
visualisation
etc.… and many different Python library alternatives
FORTRAN core computation
modules
wrapper (F2Py)
revision control system
stand-alone programs
data exchange interface
Sayg n Ayabakan, M.Sc.Research scientist, PhD student, LUT Energy+358 20 722 [email protected]
a b
TURBICE simulations [3]
NACA0012
