The Open UniversitySkip to content

A new tool for the validation of dynamic simulation models

Martin, Christopher John (1995). A new tool for the validation of dynamic simulation models. PhD thesis The Open University.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (13MB) | Preview
Google Scholar: Look up in Google Scholar


A new method for determining the causes of discrepancies between dynamic simulation models and measured data is described. Whilst principally aimed at the validation of building thermal simulation codes, the method may rind application in the validation of simulation models from other disciplines. The new method relies on generating a model of the discrepancies in terms of the variables driving the physical reality which produced the experimental data and the corresponding simulation. Inspection of the resulting error model allows the principal contributors to simulation error to be identified, its dynamic nature to be characterised, and the likely cause of the error to be identified.

The method is tested by generating a 'quasi-truth' dataset using the building thermal simulation code SERI-RES. A series of simulations is then prepared with perturbations to selected input parameters. The new tool is found to be capable of recovering details of the perturbations.

Finally, the power of the new technique is demonstrated in a series of comparisons between the predictions of the model SERI-RES and data collected in outdoor test rooms. These comparisons reveal that the principal source of error in the predictions is the treatment of the interactions between the heater and the air and fabric of the room. The new technique proves sufficiently sensitive to detect the changing structure of the prediction errors as the position of the heater within the room is changed.

Item Type: Thesis (PhD)
Copyright Holders: 1995 The Author
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Item ID: 57552
Depositing User: ORO Import
Date Deposited: 09 Nov 2018 10:34
Last Modified: 03 Jul 2019 19:15
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU