Abstract
This article describes a general mathematical procedure for generating synthetic daily solar irradiation values. The procedure should be useful for simulating solar energy systems, requiring only the 12 monthly means (Kt), as input. The procedure is based on a time series analysis of the daily Kt values, described in the article. It incorporates the well-known probability distribution function for Kt, by using a transformed variable, rather than Kt, as the fundamental random quantity.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 83-92 |
| Number of pages | 10 |
| Journal | Solar Energy |
| Volume | 40 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1988 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Electronic, Optical and Magnetic Materials
- Surfaces, Coatings and Films
Cite this
A time series model for Kt with application to global synthetic weather generation. / Graham, Victor; Hollands, K. G T; Unny, T. E.
In: Solar Energy, Vol. 40, No. 2, 1988, p. 83-92.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A time series model for Kt with application to global synthetic weather generation
AU - Graham, Victor
AU - Hollands, K. G T
AU - Unny, T. E.
PY - 1988
Y1 - 1988
N2 - This article describes a general mathematical procedure for generating synthetic daily solar irradiation values. The procedure should be useful for simulating solar energy systems, requiring only the 12 monthly means (Kt), as input. The procedure is based on a time series analysis of the daily Kt values, described in the article. It incorporates the well-known probability distribution function for Kt, by using a transformed variable, rather than Kt, as the fundamental random quantity.
AB - This article describes a general mathematical procedure for generating synthetic daily solar irradiation values. The procedure should be useful for simulating solar energy systems, requiring only the 12 monthly means (Kt), as input. The procedure is based on a time series analysis of the daily Kt values, described in the article. It incorporates the well-known probability distribution function for Kt, by using a transformed variable, rather than Kt, as the fundamental random quantity.
UR - http://www.scopus.com/inward/record.url?scp=0023827520&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0023827520&partnerID=8YFLogxK
U2 - 10.1016/0038-092X(88)90075-8
DO - 10.1016/0038-092X(88)90075-8
M3 - Article
AN - SCOPUS:0023827520
VL - 40
SP - 83
EP - 92
JO - Solar Energy
JF - Solar Energy
SN - 0038-092X
IS - 2
ER -