The aim of this thesis is to investigate the prediction of summer over-heating in naturally ventilated office buildings by dynamic thermal modelling. Three case study buildings were modelled using the commercial, TAS dynamic thermal modelling software and their internal air temperature levels monitored. To find the optimum level of modelling complexity that compared with the physically monitored data, dynamic thermal models were altered from an initial 'Basic' model through to a very complex modelling set-up. From the changes in internal temperature prediction, created by varying the complexity of the model set-up (allowing for variations in the modelling strategy applied and the estimates/data applied by necessity in the model e.g. weather file information, blinds usage etc.) the relative effects upon the building design of these results can be assessed. This assessment was conducted by viewing the results against current UK over-heating guidelines used in the building design industry and/or by building users. Further, where these current guidelines proved of little usability for the cross-comparison of the actual monitored summer data and the realistic modelling set-up decisions, a new overheating guideline criteria was proposed.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:583522 |
| Date | January 2005 |
| Creators | Jones, Kelvin Vincent |
| Publisher | Cardiff University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://orca.cf.ac.uk/54288/ |
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