Title:
Computational fluid dynamics in an equation-based, acausal modeling environment

dc.contributor.advisor Augenbroe, Godfried
dc.contributor.author Brown, Jason en_US
dc.contributor.department Architecture en_US
dc.date.accessioned 2011-03-04T21:00:55Z
dc.date.available 2011-03-04T21:00:55Z
dc.date.issued 2010-11-15 en_US
dc.description.abstract The practice of building simulation is split between domains such as energy, multizone airflow, computational fluid dynamics (CFD) airflow, and controls analysis, as well as between the tools which conduct these analyses. Previous work in the integration of these analyses and tools have focused on linking existing tools, written in algorithmic programming languages, together by interfacing them using coupling mechanisms implemented in algorithmic programming languages. This thesis takes a different approach, using the equation-based, object oriented modeling language Modelica to create models in different domains and interfaces between those models within a single framework which has benefits to the modeler/analyst in terms of both representation of physical processes and flexibility in modeling systems composed of many interacting components. Specifically, the simulation of airflows within buildings has historically been compartmentalized into distinct domains such as nodal network (multizone) simulations and CFD. Such airflow simulations are also often treated independently of building energy simulations (via heat transfer) despite their interrelation. Recent work has reported on combining these types of analyses by linking pre-existing simulation software together. Here a prototype CFD package of models is built in Modelica and coupled to models of conductive heat transfer and controls. Comparisons of results of simulations so constituted to analytical solutions and benchmark data available in the literature show good agreement, indicating the technical viability of this approach. Limitations include the absence of turbulence modeling and the lack of modeling features which improve computational efficiency, such as non-uniform grids. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/37247
dc.publisher Georgia Institute of Technology en_US
dc.subject Modelica en_US
dc.subject CFD en_US
dc.subject.lcsh Computational fluid dynamics
dc.subject.lcsh Lattice Boltzmann methods
dc.subject.lcsh Object-oriented methods (Computer science)
dc.subject.lcsh Computer simulation
dc.title Computational fluid dynamics in an equation-based, acausal modeling environment en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Augenbroe, Godfried
local.contributor.corporatename College of Design
local.contributor.corporatename School of Architecture
local.relation.ispartofseries Doctor of Philosophy with a Major in Architecture
relation.isAdvisorOfPublication 7a1041d3-9298-48b6-bb90-f09619e6e744
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 0533a423-c95b-41cf-8e27-2faee06278ad
relation.isSeriesOfPublication 1e9dd6c5-039f-4195-b3b6-bc27d2df5b9f
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
brown_jason_b_201012_phd.pdf
Size:
1.9 MB
Format:
Adobe Portable Document Format
Description: