Numerical coupling of Modelica and CFD for building energy supply systems

Ljubijankic, Manuel; Nytsch‐Geusen, Christoph; Rädler, Jörg; Löffler, Martin

doi:10.3384/ecp11063286

Cited by 14 publications

(11 citation statements)

References 2 publications

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“…3) can be either implemented in Modelica (1D) or in CFX (3D). The co-simulation of Modelica and CFX is described in [13]. It gives more accurate results regarding the details of the storage, but it runs much slower than the pure Modelica simulation.…”

Section: Loose Coupling Of Ansys Cfx With Dymolamentioning

confidence: 99%

Accessing External Data on Local Media and Remote Servers Using a Highly Optimized File Reader Library

Rädler

Ljubijankic

Nytsch‐Geusen

et al. 2012

Linköping Electronic Conference Proceedings

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is an open-source solution for the efficient interpolating access to external data sets. The library of C-functions can be used with different applications and works well with Modelica. Data sets can be easily accessed as continuous functions using different interpolation and extrapolation methods. The application range covers reading generated or measured data, the integration of simulation results from Modelica or other systems and the validation, parametrization and optimization of models using external data. Data sources may be local files or remote servers. Using the netCDF file format [2], the DAP network protocol [3] and different optimization approaches the data access can be surprisingly fast, even for large remote files with many variables containing millions of values.

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Section: Loose Coupling Of Ansys Cfx With Dymolamentioning

confidence: 99%

Accessing External Data on Local Media and Remote Servers Using a Highly Optimized File Reader Library

Rädler

Ljubijankic

Nytsch‐Geusen

et al. 2012

Linköping Electronic Conference Proceedings

Self Cite

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“…Another example can be found in [16], where a fluid domain co-simulation of a building energy supply system is investigated. In this case, the Dymola simulation tool was used to simulate a solar thermal collector and storage.…”

Section: Methodsmentioning

confidence: 99%

A co-simulation method for system-level simulation of fluid–structure couplings in hydraulic percussion units

Andersson

Nordin

Borrvall³

et al. 2016

Engineering with Computers

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“…Some attempts of incorporating PDE support into Modelica are described in [11], [12] and in Chapter 8 of [5]. In [18] and [17] two different approaches are investigated: (1) expressing the PDEs using a combination of new language constructs and a supporting Modelica PDE library using the method-oflines; (2) exporting the PDE part to an external PDE FEM C++ tool which solves the PDE part of the total problem.…”

Section: Introductionmentioning

confidence: 99%

PDE Modeling with Modelica via FMI Import of HiFlow3 C++ Components with Parallel Multi-core Simulations

Stavåker¹,

Fritzson²,

Chen³

et al. 2015

SNE

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The Modelica modeling and simulation language is widely used in academia and industry to model complex, coupled dynamic systems which can be described by systems of ordinary differential equations (ODE) or differential algebraic equations (DAE). Recent work by the authors showed a way to enable partial differential equation (PDE) modeling with Modelica via functional mock-up interface (FMI) import of C++ components based on the multi-purpose finite element library HiFlow3. The finite element method (FEM) is largely used in both research and industry as a reliable technique for solving PDE problems. In contrast to methods based on language extensions or automatic semi-discretizations in space, the approach with FMI import of HiFlow3 components into Modelica requires no change to the Modelica language, enables the use of specialized PDE solvers, and it allows for full flexibility in the choice of geometry, model parameters, and space discretization between simulation runs without recompilation. However, the computationally intensive PDE solving part in this approach can form a bottleneck in the simulations. In this work, we enhance the PDE solver by using a distributed memory parallelization based on a domain decomposition. As an example application, we consider a mechanical linear elasticity problem consisting of physical forces applied on a beam. Beams, plates and shells are common elements of solid structures with a sizable quantity of application in engineering design, appearing in fuselage, ship hulls, concrete roof structure, etc. The derivation of elastic stress strain relations is a crucial point for mechanical analysis and validation, as the bending properties of the structure effects greatly the stability properties. In this work the actual beam is modeled and solved in parallel using a C++ HiFlow3 component whereas the physical force acting on the beam is modeled using Modelica. We use the OpenModelica development environment but the same approach can be adapted to other Modelica environments.

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Numerical coupling of Modelica and CFD for building energy supply systems

Cited by 14 publications

References 2 publications

Accessing External Data on Local Media and Remote Servers Using a Highly Optimized File Reader Library

Accessing External Data on Local Media and Remote Servers Using a Highly Optimized File Reader Library

A co-simulation method for system-level simulation of fluid–structure couplings in hydraulic percussion units

PDE Modeling with Modelica via FMI Import of HiFlow3 C++ Components with Parallel Multi-core Simulations

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