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Infiltration heat recovery in building walls: computational fluid dynamics investigations results

Abadie, M. O., Finlayson, E. U. and Gadgil, A. J.
2002
LBNL-51324, Lawrence Berkeley National Laboratory


Abadie, M. O., Finlayson, E. U. and Gadgil, A. J., (2002), "Infiltration heat recovery in building walls: computational fluid dynamics investigations results", LBNL-51324, Lawrence Berkeley National Laboratory.
Abstract:
This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building Technology, of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098.

Conventional calculations of heating (and cooling) loads for buildings assume that conduction heat loss (or gain) through walls is independent of air infiltration heat loss (or gain). During passage through the building envelope, infiltrating air substantially exchanges heat wall insulation leading to partial recovery of heat conducted through the wall. The Infiltration Heat Recovery (IHR) factor was introduced to quantify the heat recovery and correct the conventional calculations. In this study, Computational Fluid Dynamics was to calculate infiltration heat recovery under a range of idealized conditions, specifically to understand factors that influence it, and assess its significance in building heat load calculations. This study shows for the first time the important effect of the external boundary layers on conduction and infiltration heat loads. Results show (under the idealized conditions studied here) that (1) the interior details of the wall encountered in the leakage path (i.e., insulated or empty walls) do not greatly influence the IHR, the overall relative location of the cracks (i.e., inlet and outlet locations on the wall) has the largest influence on the IHR magnitude, (2) external boundary layers on the walls substantially contribute to IHR and (3) the relative error in heat load calculations resulting from the use of the conventional calculational method (i.e., ignoring IHR) is between 3% and 13% for infiltrating flows typically found in residential buildings.


This publication in whole or part may be found online at: This link was checked on Dec. 2006here.

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Author Information and Other Publications Notes
Abadie, M. O.
     
Finlayson, E. U.
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Gadgil, A. J.
  1. Comparing zonal and CFD model predictions of indoor airflows under mixed convection conditions to experimental data
  2. Comparing zonal and CFD model predictions of isothermal indoor airflows to experimental data  



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