DocumentCode :
1518906
Title :
Thermal modeling for the estimation of energy losses from municipal heating networks using infrared thermography
Author :
Axelsson, Sune R.J.
Author_Institution :
Dept. of Electron. Syst., SAAB-SCANIA, Linkoping, Sweden
Volume :
26
Issue :
5
fYear :
1988
fDate :
9/1/1988 12:00:00 AM
Firstpage :
686
Lastpage :
692
Abstract :
Analysis and simulation results are reported showing that there generally is a strong correlation between the thermal IR (infrared) contrast of a district heating line and its heat losses. A computer model based on the method of finite differences is described by which the temperature field and the heat flux around a buried heating line can be predicted. Algorithms are derived for the estimation of energy losses using thermal IR imagery as input data. The most promising algorithm is based on an integration of the surface temperature profile across the heating line. Under favorable conditions, it seems possible to estimate heat losses with an error (RMS) of 10 to 20% and a sensitivity of 10 to 20 W/m. The main limitations of the technique and the choice of favorable conditions for data acquisition are analyzed and discussed
Keywords :
difference equations; district heating; heat losses; infrared imaging; power system analysis computing; remote sensing; terrestrial heat; IR method; building; buried heating line; computer model; data acquisition; district heating line; energy efficiency; energy loss; finite differences; heat flux; heat loss; home; house; infrared thermography; insulation; municipal heating networks; remote sensing; surface temperature profile; technique; temperature field; thermal model; thermal pollution; Analytical models; Computational modeling; Data acquisition; Data analysis; Energy loss; Finite difference methods; Infrared heating; Prediction algorithms; Predictive models; Temperature sensors;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.7695
Filename :
7695
Link To Document :
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