Assessment of the accuracy of generated meteorological data for use in solar energy simulation studies

Journal Article · Thu Sep 01 04:00:00 EDT 1994 · Solar Energy (Journal of Solar Energy Science and Engineering); (United States)

DOI:https://doi.org/10.1016/0038-092X(94)90634-3· OSTI ID:6873556

Gansler, R A; Klein, S A; Beckman, W A ^[1]

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1. Univ. of Wisconsin, Madison, WI (United States)

Simulations provide the only practical method for designing solar energy systems. Meteorological data are needed to drive the simulations. However, long-term meteorological data (e.g., 20 years) are not available in most locations so simulations often rely on a reduced set of data or data which have been synthesized with statistical models. Even in locations in which long-term data records exist, the computational requirements of using these data for design purposes is significant so a reduced set of data (e.g., 1 year) is generally used. This study investigates the accuracy of using reduced and synthesized sets of meteorological models for solar applications. The accuracy estimates are made relative to estimates determined with over 20 years of hourly meteorological records.

• OSTI ID: 6873556
• Journal Information: Solar Energy (Journal of Solar Energy Science and Engineering); (United States), Journal Name: Solar Energy (Journal of Solar Energy Science and Engineering); (United States) Vol. 53:3; ISSN SRENA4; ISSN 0038-092X
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
140100* -- Solar Energy-- Resources & Availability
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ACCURACY
CLIMATE MODELS
DATA
INFORMATION
MATHEMATICAL MODELS
METEOROLOGY
NUMERICAL DATA
RADIATIONS
SIMULATION
SOLAR RADIATION
STATISTICAL DATA
STELLAR RADIATION