Stochastic Predictions of Solar Cooling System Performance

[+] Author and Article Information
D. K. Anand, I. N. Deif, E. O. Bazques, R. W. Allen

Solar Energy Projects, Department of Mechanical Engineering, University of Maryland, College Park, MD 20742

J. Sol. Energy Eng 102(1), 47-54 (Feb 01, 1980) (8 pages) doi:10.1115/1.3266121 History: Received October 31, 1979; Online November 11, 2009


The use of computerized system simulations for sizing and performance predictions of various solar systems requires some form of weather input to act as a system stimulus. When actual weather data are used, simulations run on an hourly basis are expensive and require considerable data handling. For many design procedures, however, hourly information is not needed, and simpler methods are desirable. One such method employs a probabilistic approach. This method involves the use of an algorithm that generates a probabilistic matrix, and an analytical formulation which is used to generate synthetic weather data. The approach has been found to be satisfactory. This work uses the stochastic (probabilistic) method to produce representative weather for five geographic regions in the U.S. for the summer months. Parallel runs are conducted with real and stochastic weather. A comparison of the results clearly shows that the probabilistic approach can satisfactorily substitute for real weather for the purpose of system simulation, at reduced cost and data handling.

Copyright © 1980 by ASME
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In