01654nas a2200145 4500008004100000050001500041245006800056210006800124260001200192520115600204100002501360700002201385700002401407856007701431 2009 eng d aLBNL-2804E00aModeling Windows in Energy Plus with Simple Performance Indices0 aModeling Windows in Energy Plus with Simple Performance Indices c10/20093 a

The paper describes the development of a model specification for performance monitoring systems for commercial buildings. The specification focuses on four key aspects of performance monitoring:

The aim is to assist building owners in specifying the extensions to their control systems that are required to provide building operators with the information needed to operate their buildings more efficiently and to provide automated diagnostic tools with the information required to detect and diagnose faults and problems that degrade energy performance.

The paper reviews the potential benefits of performance monitoring, describes the specification guide and discusses briefly the ways in which it could be implemented. A prototype advanced visualization tool is also described, along with its application to performance monitoring. The paper concludes with a description of the ways in which the specification and the visualization tool are being disseminated and deployed.

1 aArasteh, Dariush, K.1 aKohler, Christian1 aGriffith, Brent, T. uhttps://facades.lbl.gov/publications/modeling-windows-energy-plus-simple01532nas a2200157 4500008004100000050001400041245003300055210003200088260003400120520105600154100001801210700003001228700002501258700002501283856006601308 1994 eng d aLBL-3319200aModeling Windows in DOE 2.1E0 aModeling Windows in DOE 21E aClearwater Beach, FLc12/19923 a

The most recent version of the DOE-2 building energy simulation program, DOE-2.1E, provides for more detailed modeling of the thermal and optical properties of windows. The window calculations account for the temperature effects on U-value, and update the incident angle correlations for the solar heat gain properties and visible transmittance. Initial studies show up to a 30% difference in calculating peak solar heat gain between the detailed approach and a constant shading-coefficient approach. The modeling approach is adapted from Lawrence Berkeley Laboratorys WINDOW 4 computer program, which is used in the National Fenestration Rating Council (NFRC) U-value rating procedure 100-91. This gives DOE-2.1E the capability to assess the annual and peak energy performance of windows consistent with the NFRC procedure. The program has an extensive window library and algorithms for simulating switchable glazings. The program also accounts for the influence of framing elements on the heat transfer and solar heat gain through the window.

1 aReilly, Susan1 aWinkelmann, Frederick, C.1 aArasteh, Dariush, K.1 aCarroll, William, L. uhttps://facades.lbl.gov/publications/modeling-windows-doe-21e