solaR (version 0.37)

C_fTemp: Intradaily evolution of ambient temperature

Description

From the maximum and minimum daily values of ambient temperature, its evolution its calculated through a combination of cosine functions (ESRA method)

Usage

fTemp(sol, BD)

Arguments

sol

A Sol object. It may be the result of the calcSol function.

BD

A Meteo object, as provided by the readSIAR or readBD functions. It must include information about Temp

Value

• A zoo object with the profile of the ambient temperature.

encoding

UTF-8

Details

The ESRA method estimates the dependence of the temperature on the time of the day (given as the local solar time) from only two inputs: minimum and maximum daily temperatures. It assumes that the temperature daily profile can be described using three piecewise cosine functions, dividing the day into three periods: from midnight to sunrise, from sunrise to the time of peak temperature (3 hours after midday), and to midnight.

References

• Huld, T. , Suri, M., Dunlop, E. D., and Micale F., Estimating average daytime and daily temperature profiles within Europe, Environmental Modelling & Software 21 (2006) 1650-1661.
• Perpiñán, O, Energía Solar Fotovoltaica, 2012. (http://procomun.wordpress.com/documentos/libroesf/)
• Perpiñ��n, O. (2012), "solaR: Solar Radiation and Photovoltaic Systems with R", Journal of Statistical Software, 50(9), 1-32,http://www.jstatsoft.org/v50/i09/

See Also

calcSol, readSIAR, readBD.

Examples

#Aranjuez, Madrid
BD<-readSIAR(28,3,'01/01/2008','31/12/2008')
lat=41;
sol=calcSol(lat, BTd=indexD(BD), sample='hour')
Temp<-fTemp(sol,BD)

###Temperature of March
library(latticeExtra)
wTemp=window(Temp, start=as.POSIXct('2008-03-01'), end=as.POSIXct('2008-03-31'))
xyplot(wTemp)+layer_(panel.xblocks(x, DoY, col=c('lightgray', 'white')))