Evaluation of aerial thermography to discriminate loft insulation in residential housing

Allinson, David (2007) Evaluation of aerial thermography to discriminate loft insulation in residential housing. PhD thesis, University of Nottingham.



This thesis examines the use of aerial thermography data to discriminate loft (attic) insulation levels in residential housing, with ventilated pitched roofs, in the UK. Quantitative techniques from the fields of remote sensing, GIS, building physics and atmospheric science were used to develop a methodology and analyse survey data flown over Nottingham in 2001.

The quantitative techniques were applied to real survey data using the most up to date atmospheric propagation models. A new model of the heat loss through the ceiling, loft and roof was developed for this study, based on the most recent methods. The limitations of these techniques were explored. A complete methodology, valid for any future study, was defined.

It was found that, measuring roof surface temperature from the thermal image was complicated by roof material properties, the intervening atmosphere and the surrounding topography. Relating roof surface temperature to insulation thickness was further complicated by loft space ventilation and the outside surface heat balance. The additional data, needed to quantify the results, produced inaccuracies caused by measurement error. Analysis of the uncertainties, by simulation, indicated that loft insulation level could not be discriminated by aerial thermography. This was confirmed by comparing the results, calculated from the survey data, with the actual insulation level for a number of houses in test areas of the city.

Item Type:Thesis (PhD)
Supervisors:Medjdoub, B.
Wilson, R.
Uncontrolled Keywords:aerial thermography, building heat loss, building modeling
Faculties/Schools:UK Campuses > Faculty of Social Sciences, Law and Education > School of the Built Environment
ID Code:284
Deposited By:David Allinson
Deposited On:23 Oct 2007
Last Modified:06 Feb 2009 14:43

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