fCompD: Components of daily global solar irradiation on a horizontal...

In solaR2: Radiation and Photovoltaic Systems

Components of daily global solar irradiation on a horizontal surface

Description

Extract the diffuse and direct components from the daily global irradiation on a horizontal surface by means of regressions between the clearness index and the diffuse fraction parameters.

Usage

fCompD(sol, G0d, corr = "CPR",f)

Arguments

sol	A Sol object from calcSol or a data.table object from fSolD. Both of them include a component named Bo0d, which stands for the extra-atmospheric daily irradiation incident on a horizontal surface
G0d	A Meteo object from readG0dm, readBDd, or a data.table object containing daily global irradiation (Wh/m²) on a horizontal surface. See below for corr = 'none'.
corr	A character, the correlation between the fraction of diffuse irradiation and the clearness index to be used. With this version several options are available, as described in corrFdKt. For example, the FdKtPage is selected with corr = 'Page' and the FdKtCPR with corr = 'CPR'. If corr = 'user' the use of a correlation defined by a function f is possible. If corr = 'none' the G0d object should include information about global, diffuse and direct daily irradiation with columns named G0d, D0d and B0d, respectively.
f	A function defininig a correlation between the fraction of diffuse irradiation and the clearness index. It is only neccessary when corr = 'user'

Value

A data.table object which includes:

Fd	numeric, the diffuse fraction
Ktd	numeric, the clearness index
G0d	numeric, the global irradiation on a horizontal surface (Wh/m²)
D0d	numeric, the diffuse irradiation on a horizontal surface (Wh/m²)
B0d	numeric, the direct irradiation on a horizontal surface (Wh/m²)

Author(s)

Oscar Perpiñán Lamigueiro, Francisco Delgado López.

References

• Perpiñán, O, Energía Solar Fotovoltaica, 2015. (https://oscarperpinan.github.io/esf/)

• Perpiñán, O. (2012), "solaR: Solar Radiation and Photovoltaic Systems with R", Journal of Statistical Software, 50(9), 1-32, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v050.i09")}

See Also

fCompI

Examples

library("data.table")


lat <- 37.2;
BTd <- fBTd(mode = 'serie')

SolD <- fSolD(lat, BTd[100])

G0d <- 5000
fCompD(SolD, G0d, corr = "Page")
fCompD(SolD, G0d, corr = "CPR")

#define a function fKtd with the correlation of CPR
fKTd <- function(sol, G0d){
Kt <- Ktm(sol, G0d)
Fd <- (0.99*(Kt <= 0.17))+ (Kt>0.17)*(1.188 -2.272 * Kt + 9.473 * Kt^2 -
21.856 * Kt^3 + 14.648 * Kt^4)
return(data.table(Fd, Kt))}
#The same as with corr = "CPR"
fCompD(SolD, G0d, corr = "user", f = fKTd)

lat <- -37.2;
SolDs <- fSolD(lat, BTd[283])
G0d <- data.table(Dates = SolDs$Dates, G0d = 5000)
fCompD(SolDs, G0d, corr = "CPR")

lat <- 37.2;
G0dm <- c(2.766,3.491,4.494,5.912,6.989,7.742,7.919,7.027,5.369,3.562,2.814,2.179)*1000;
Rad <- readG0dm(G0dm, lat = lat)
solD <- fSolD(lat, fBTd(mode = 'prom'))
fCompD(solD, Rad, corr = 'Page')

solaR2 documentation built on April 3, 2025, 6:11 p.m.