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Uncertainty in model prediction of energy savings in building retrofits: Case of thermal transmittance of windows.

Authors :
Ohlsson, K.E. Anders
Nair, Gireesh
Olofsson, Thomas
Source :
Renewable & Sustainable Energy Reviews. Oct2022, Vol. 168, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Energy saving in buildings is an important measure for mitigation of climate change. There exists a large potential for energy saving in buildings by improving the thermal performance of windows. For decisions on energy saving window retrofits, accurate estimation of the energy saved and its uncertainty is of importance. The ISO 15099 standard, which is normative for thermal modelling of windows within the building sector, does not give uncertainty estimates. The main novelty of this study was to provide uncertainty analysis for model prediction of the thermal transmittance of windows, in the perspective of decisions on window retrofits. For this purpose, we proposed a new simplified model, which facilitated uncertainty analysis, and still was similar to the ISO 15099 window model. The model was validated by application of a benchmark validation procedure to a set of previously performed validation experiments. Main conclusions were: (i) The model was accurate within a prediction uncertainty equal to 0.20 Wm−2K−1; (ii) The domain where the model is valid was described using existing well-documented validation experiments. This domain was restricted to windows with glazing thermal transmittance corresponding to 2-layer glazing, and to windows where the frame area is a minor part of the total window area. (iii) The prediction uncertainty was mainly determined by the measurement uncertainty in the validation experiments; (iv) If a window retrofit is based on reduction of window thermal transmittance, then this reduction has to be larger than 0.56 Wm−2K−1 in order to yield energy savings above the uncertainty limit. • New simplified model was proposed for prediction of window thermal transmittance. • Main novelty consists of estimation of prediction uncertainty for window model. • Benchmark validation was performed and domain of model validity was defined. • Measurement uncertainty was the major contributor to prediction uncertainty. • Criteria was given for window retrofit energy saving above the uncertainty limit. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13640321
Volume :
168
Database :
Academic Search Index
Journal :
Renewable & Sustainable Energy Reviews
Publication Type :
Academic Journal
Accession number :
159038923
Full Text :
https://doi.org/10.1016/j.rser.2022.112748