NREL Evaluates Thermal Performance of Uninsulated Walls to Improve Accuracy of Building Energy Simulation Tools (Fact Sheet)

关键词: ACCURACY;    BUILDING MATERIALS;    CAVITIES;    COMPUTERIZED SIMULATION;    CONSTRUCTION;    ENERGY EFFICIENCY;    FLUID MECHANICS;    HEAT TRANSFER;    NATIONAL RENEWABLE ENERGY LABORATORY;    OUTDOORS;    PERFORMANCE;    POTENTIAL ENERGY;    SIMULATION;    TEMPERATURE DEPENDENCE NREL HIGHLIGHT;    BUILDINGS;    HOMES;    ENERGY SIMULATION TOOLS;    CFD;    COMPUTATIONAL FLUID DYNAMICS MODELING;    INSULATION;    Electricity;    Resources;    and Buildings Systems;    Buildings;   

DOI  :  10.2172/1036901
RP-ID  :  NREL/FS-5500-54094
PID  :  OSTI ID: 1036901
Others  :  TRN: US201207%%58

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来源: SciTech Connect

【 摘 要 】

NREL researchers discover ways to increase accuracy in building energy simulations tools to improve predictions of potential energy savings in homes. Uninsulated walls are typical in older U.S. homes where the wall cavities were not insulated during construction or where the insulating material has settled. Researchers at the National Renewable Energy Laboratory (NREL) are investigating ways to more accurately calculate heat transfer through building enclosures to verify the benefit of energy efficiency upgrades that reduce energy use in older homes. In this study, scientists used computational fluid dynamics (CFD) analysis to calculate the energy loss/gain through building walls and visualize different heat transfer regimes within the uninsulated cavities. The effects of ambient outdoor temperature, the radiative properties of building materials, insulation levels, and the temperature dependence of conduction through framing members were considered. The research showed that the temperature dependence of conduction through framing members dominated the differences between this study and previous results - an effect not accounted for in existing building energy simulation tools. The study provides correlations for the resistance of the uninsulated assemblies that can be implemented into building simulation tools to increase the accuracy of energy use estimates in older homes, which are currently over-predicted.