EPSRC Reference: |
GR/N37346/01 |
Title: |
APPLICATION OF COMPUTATIONAL FLUID DYNAMICS TO NATURAL VENTILATION |
Principal Investigator: |
Cook, Professor MJ |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Institute of Energy and Sustainable Dev |
Organisation: |
De Montfort University |
Scheme: |
Fast Stream |
Starts: |
01 June 2001 |
Ends: |
31 August 2004 |
Value (£): |
62,332
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EPSRC Research Topic Classifications: |
Building Ops & Management |
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EPSRC Industrial Sector Classifications: |
Construction |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Recent years have seen a significant growth in interest towards natural ventilation in non domestic buildings, mainly in response to a global need to reduce CO2 emissions. Owing to the innovative and complex nature of such buildings, it is often necessary to use prediction tools to ensure that the building will perform as intended with adequate ventilation and no over heating. In response to this, computer based modelling techniques have also grown in popularity and complexity. One such tool is Computational Fluid Dynamics (CFD) in which a detailed picture of the airflow pattern and temperature field is generated by solving the flow equations at many locations througout the flow domain. One of the difficulties in using CFD is in understanding how to accurately apply the technique to natural ventilation flows. To date there has been no explicit guidance offered to CFD practitioners on how to achieve this.The research proposed here aims to meet this need by establishing concise benchmarks based on two common natural ventilation scenarios. The research will deliver guidance on how best to model these flows using CFD techniques, the accuracy which can be expected and the influence of key building design features on the flows.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.dmu.ac.uk |