The OnWind Modelica Library for OffshoreWind Turbines - Implementation and first results

Strobel, Michael; Vorpahl, Fabian; Hillman, Craig; Xin, Gu; Zuga, Adam; Wihlfahrt, Urs

doi:10.3384/ecp11063603

Cited by 24 publications

(31 citation statements)

References 53 publications

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“…In the following section, existing components of the OneWind Modelica library according to [Strobel et al , 2011] are used to introduce these kind of constraints. If library developers would provide domain-specific constraints for their models, the intended use of the models could be enforced.…”

Section: Validation Of Structural Constraintsmentioning

confidence: 99%

“…Additionally, different types of models are needed, such as FEM models for the calculation of buckling of rotor blades or modal reduced blade models for fast simulation of load cases with flexible blades. Many of the models are available in the OneWind library [Strobel et al , 2011;Thomas et al , 2014] and developed at Fraunhofer IWES.…”

Section: Modelica Models At Fraunhofer Iwesmentioning

confidence: 99%

“…Thus, the user does not need to understand the syntax of Modelica. Instead of transforming the complete model to a Modelica representation, only the user-defined parameters are transformed to Modelica records, that belong to model components of the OneWind Modelica library [Strobel et al , 2011]. The library consists of major components at different complexity levels needed for load calculations of typical offshore wind turbines.…”

Section: Parameterizeable Models and Modelica Code Generationmentioning

confidence: 99%

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An Integrated Development Environment with Enhanced Domain-Specific Interactive Model Validation

Samlaus¹

2015

Linköping Studies in Science and Technology. Dissertations

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Physical modeling plays an important role in many engineering domains. For engineers it is important to model real world objects in order to simulate and assess their behavior. This is particularly true for the development of new product components such as for example wind turbines. The suitability and durability of components needs to be investigated early in the design process to avoid costs that arise when faulty designs appear during component testing. Another domain where models are frequently used is model-driven software development. Data structures and data flow are modeled, for example using UML diagrams. Code is automatically generated from the models and is refined by user-written code. Advantages of model-driven software development are the high abstraction of the code by visualization in diagrams and specialized views which display details of design aspects. Additionally, code generators are usually well tested and design patterns are used in the generated code which leads to good quality and readability. Models for simulation of wind turbines are developed at Fraunhofer Institute for Wind Energy and Energy System Technology.Models with different levels of detail are used during the design process, starting with simple models for basic design decisions and evaluations to high-detailed models (such as Computational Fluid Dynamics (CFD) models for detailed flow analysis of rotor blades). The models defined are parameter-based and do not define a tool specific syntax. Hence, these models must be transferred to a tool-specific format for simulation. Design flaws that are encountered in low-level models have an impact on the detailed models. But equally important, problems encountered in highly detailed models may require changes in the basic models. This leads to the problem that all models that have been defined for a design study, including the transformation to simulation tool models, may need to be altered. To remedy this problem, model-driven software development is used. Models are created once in our simulation environment and simulation models for the different tools are derived from those models. This dissertation focuses on the development of components with different levels of detail with the language Modelica. In order to develop models quickly, the developer needs to be assisted in creating models that are valid regarding language compliance and structural constraints and that show the expected behaviour during simulation. The Modelica Integrated Development Environment (IDE) OneModelica is introduced that provides a data model for Modelica models with the same technology as the general wind turbine models described above. Hence, Modelica code can be generated from the parametric models using existing tools. Features like project-based development allow separating models with different levels of detail, allowing the user to focus on one topic and to create libraries for certain functionality. Interactive Model validation has been implemented to assist the user during development. Hence, the...

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Section: Validation Of Structural Constraintsmentioning

confidence: 99%

Section: Modelica Models At Fraunhofer Iwesmentioning

confidence: 99%

Section: Parameterizeable Models and Modelica Code Generationmentioning

confidence: 99%

See 1 more Smart Citation

An Integrated Development Environment with Enhanced Domain-Specific Interactive Model Validation

Samlaus¹

2015

Linköping Studies in Science and Technology. Dissertations

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“…Thus, the user does not need to understand the syntax of Modelica. Instead of transforming the complete model to a Modelica representation, only the user-defined parameters are transformed to Modelica records, that belong to components of the OneWind Modelica library [18]. The library consists of major components in different complexity levels needed for load calculations of typical offshore wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Modelica Code Generation with Polymorphic Arrays and Records Used in Wind Turbine Modeling

Samlaus

Fritzson

Zuga

et al. 2012

Linköping Electronic Conference Proceedings

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At Fraunhofer Institute for Wind Energy and Energy System Technology IWES a simulation software for offshore wind farms is being developed, concentrating on the ability to define physical models at different levels of detail. Therefore parameterizable models representing parts of wind turbines are defined that can be transformed for various purposes like simulation with Finite Element Method (FEM) tools or Modelica solvers.This paper describes the concepts of purely parametric physical models and code generation. It is elucidated how models of different complexity can be transformed into each other by model driven development techniques. Thereby the focus is set on the generation of Modelica code and it is explained how the use of Modelica libraries simplifies the generation of simulatable code.During the development of generators for Modelica, issues arose regarding type compatibility of arrays with different sizes when using polymorphism. These issues are explained by an example and possible enhancements for the Modelica language are suggested.

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“…6 using both model types mentioned above. For the evaluation of Modelica models, components from our wind turbine library are used [7] which comprise a full-scale wind turbine model for aero-serve-hydro-dynamic simulation. Sect.…”

Section: Introductionmentioning

confidence: 99%

Semantic validation of physical models using role models

Samlaus

Fritzson

2015

SIMULATION

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The complexity of models for the simulation of physical systems is steadily increasing. This makes the eective validation of models for dierent design aspects crucial. One of the many important aspects is the structural correctness and the behavior due to design parameters which are of particular concern for the modeling of wind turbines.This article presents a design and implementation of a role-based validation framework. The framework allows for the creation of validation rules for dierent design aspects. This is done by role models that are used to dene restrictions for an aspect by roles and rules. Multiple role models can be combined to cover all design features during model development. Restrictions on how models can interact with each other can be dened, which broadens language specic restriction capabilities. The resulting rules can then be tested on arbitrary models based on the Eclipse Modeling Framework, for which mapping between elements of the role model and elements of the validated modeling language must be provided.In the domain of wind turbines, this approach is evaluated by application to two kinds of modeling languages (Modelica and UML2). Role models and rules have shown to be easily described with the framework's role model language and role model denitions are successfully re-used by the denition of mappings for both kinds of modeling languages.

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The OnWind Modelica Library for OffshoreWind Turbines - Implementation and first results

Cited by 24 publications

References 53 publications

An Integrated Development Environment with Enhanced Domain-Specific Interactive Model Validation

An Integrated Development Environment with Enhanced Domain-Specific Interactive Model Validation

Modelica Code Generation with Polymorphic Arrays and Records Used in Wind Turbine Modeling

Semantic validation of physical models using role models

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