Secondary Author(s)

Parker, Danny; Huang, Yu Joe

Report Number

FSEC-PF-409-00

URL

http://publications.energyresearch.ucf.edu/wp-content/uploads/2018/06/FSEC-PF-409-00.pdf

Keywords

HVAC; Energy Efficiency; Humidity; Buildings

Abstract

In hourly energy simulations, it is important to properly predict the performance of air conditioning systems over a range of full and part load operating conditions. An important component of these calculations is to properly consider the performance of the cycling air conditioner and how it interacts with the building. This paper presents improved approaches to properly account for the part load performance of residential and light commercial air conditioning systems in DOE-2. First, more accurate correlations are given to predict the degradation of system efficiency at part load conditions. In addition, a user-defined function for RESYS is developed that provides improved predictions of air conditioner sensible and latent capacity at part load conditions. The user function also provides more accurate predictions of space humidity by adding "lumped" moisture capacitance into the calculations. The improved cooling coil model and the addition of moisture capacitance predicts humidity swings that are more representative of the performance observed in real buildings.

Date Published

8-31-2000

Notes

Reference Publication: Henderson, H., Parker, D., Huang, Y., "Improving DOE­2's RESYS routine: User Defined Functions to Provide More Accurate Part Load Energy Use and Humidity Predictions", Proceedings of 2000 Summer Study on Energy Efficiency in Buildings, American Council for an Energy­-Efficient Economy, 1001 Connecticut Avenue, Washington, DC., August 2000.

Local Subjects

Buildings - Energy Efficiency; Humidity; Buildings - HVAC

Collection

FSEC Energy Research Center® Collection

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Rights Statement

In Copyright