Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18632
Title: A RTS-based method for direct and consistent calculating intermittent peak cooling loads
Authors: Chen, T
Cui, M
Keywords: Building
Design cooling load
Intermittent air-conditioning
RTS method
Issue Date: 2010
Publisher: Pergamon Press
Source: Energy conversion and management, 2010, v. 51, no. 6, p. 1170-1178 How to cite?
Journal: Energy conversion and management 
Abstract: The RTS method currently recommended by ASHRAE Handbook is based on continuous operation. However, most of air-conditioning systems, if not all, in commercial buildings, are intermittently operated in practice. The application of the current RTS method to intermittent air-conditioning in nonresidential buildings could result in largely underestimated design cooling loads, and inconsistently sized air-conditioning systems. Improperly sized systems could seriously deteriorate the performance of system operation and management. Therefore, a new method based on both the current RTS method and the principles of heat transfer has been developed. The first part of the new method is the same as the current RTS method in principle, but its calculation procedure is simplified by the derived equations in a close form. The technical data available in the current RTS method can be utilized to compute zone responses to a change in space air temperature so that no efforts are needed for regenerating new technical data. Both the overall RTS coefficients and the hourly cooling loads computed in the first part are used to estimate the additional peak cooling load due to a change from continuous operation to intermittent operation. It only needs one more step after the current RTS method to determine the intermittent peak cooling load. The new RTS-based method has been validated by EnergyPlus simulations. The root mean square deviation (RMSD) between the relative additional peak cooling loads (RAPCLs) computed by the two methods is 1.8%. The deviation of the RAPCL varies from -3.0% to 5.0%, and the mean deviation is 1.35%.
URI: http://hdl.handle.net/10397/18632
ISSN: 0196-8904
EISSN: 1879-2227
DOI: 10.1016/j.enconman.2009.12.027
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