Improving DOE-2's RESYS routine: User defined functions to provide more accurate part load energy use and humidity predictions
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.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Assistant Secretary for Energy Efficiency and Renewable Energy. Office of the Deputy Assistant Secretary for Technology Development. Office of the Building Technologies Program
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 842657
- Report Number(s):
- LBNL-46304; R&D Project: 0; TRN: US200516%%864
- Resource Relation:
- Conference: 2000 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 20-25, 2000
- Country of Publication:
- United States
- Language:
- English
Similar Records
Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs
Understanding the Dehumidification Performance of Air-Conditioning Equipment at Part-Load Conditions