Type of Document Master's Thesis Author Alghamdi, Jamal Khaled Author's Email Address firstname.lastname@example.org URN etd-11172008-003759 Title CFD Simulation Methodology for Ground-Coupled Ventilation System Degree Master of Science Department Architecture Advisory Committee
Advisor Name Title Jones, James R. Committee Chair Schubert, Robert P. Committee Member Vlachos, Pavlos P. Committee Member Keywords
- Computational Fluid
- Ground-Coupled Ventilation
- geothermal energy
- soil temperature
- heat exchange
Date of Defense 2008-06-25 Availability unrestricted AbstractIn the past two decades, a growing interest in alternative energy resources as a
replacement to the non-renewable resources used now days. These alternatives include
geothermal energy which can be used to generate power and reduce the demands on
energy used to heat and cool buildings. Ground-coupled ventilation system is one of the
many applications of the geothermal energy that have a lot of attention in the early 80’s
and 90’s but all designs of the system where based on single case situations. On the other
hand, computational fluid dynamics tools are used to simulate heat and fluid flow in any
real life situation. They start to develop rapidly with the fast development of computers
and processors. These tools provide a great opportunity to simulate and predict the
outcome of most problems with minimum loss and better way to develop new designs.
By using these CFD tools in GCV systems designing procedure, energy can be conserved
and designs going to be improved.
The main objective of this study is to find and develop a CFD modeling strategy
for GCV systems. To accomplish this objective, a case study must be selected, a proper
CFD tool chosen, modeling and meshing method determined, and finally running
simulations and analyzing results. All factors that affect the performance of GCV should
be taken under consideration in that process such as soil, backfill, and pipes thermal
properties. Multiple methods of simulation were proposed and compared to determine the
best modeling approach.
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