System performance predictions for solar cooling using regional stochastic weather models
Abstract
A probabilistic approach is used to compact real climatological data collected for several regions. This stochastic weather information, which retains weather history, is then used to predict system performance of an air-cooled solar powered air-conditioning system for these diverse climatic regions of the United States. The system simulation incorporates a flat-plate solar collector, absorption cooling components, hot storage, load calculations and automatic controls. System coefficient of performance and total insolation using the stochastic approach are seen to be in good agreement with simulation runs using real weather data when compared over the total cooling season. It is concluded that even for diverse climatic regions the present scheme of reducing a large body of local data while retaining its probabilistic structure gives the designer a compact and inexpensive tool for sizing solar systems.
- Publication:
-
Modeling and Simulation
- Pub Date:
- 1978
- Bibcode:
- 1978mosi.conf..289B
- Keywords:
-
- Air Conditioning;
- Computerized Simulation;
- Cooling Systems;
- Numerical Weather Forecasting;
- Performance Prediction;
- Solar Cooling;
- Climatology;
- Energy Technology;
- Stochastic Processes;
- Systems Analysis;
- Energy Production and Conversion