R/corrFdKt.R

In oscarperpinan/solar: Radiation and Photovoltaic Systems

### Medias mensuales
FdKtPage <- function(Ktd){##Page para medias mensuales
  Fd=1-1.13*Ktd
  return(Fd)
}

FdKtLJ <- function(Ktd){##Liu y Jordan para medias mensuales
  Fd=(Ktd<0.3)*0.595774 +
    (Ktd>=0.3 & Ktd<=0.7)*(1.39-4.027*Ktd+5.531*Ktd^2-3.108*Ktd^3)+
      (Ktd>0.7)*0.215246
  return(Fd)
  }

### Diarios
FdKtCPR <- function(Ktd){##Collares-Pereira y Rabl para diarios
  Fd=(0.99*(Ktd<=0.17))+
    (Ktd>0.17 & Ktd<0.8)*(1.188-2.272*Ktd+9.473*Ktd^2-21.856*Ktd^3+14.648*Ktd^4)+
      (Ktd>=0.8)*0.2426688      
  return(Fd)
}

FdKtEKDd <- function(Ktd, sol){##Erbs, Klein y Duffie para diarios
  if (class(sol)=='Sol') {
    ws <- as.data.frameD(sol)$ws
    } else {ws <- coredata(sol$ws)}
  
  WS1=(abs(ws)<1.4208)
  Fd=WS1*((Ktd<0.715)*(1-0.2727*Ktd+2.4495*Ktd^2-11.9514*Ktd^3+9.3879*Ktd^4)+
    (Ktd>=0.715)*(0.143))+
      !WS1*((Ktd<0.722)*(1+0.2832*Ktd-2.5557*Ktd^2+0.8448*Ktd^3)+
            (Ktd>=0.722)*(0.175))
  return(Fd)
}

FdKtCLIMEDd <- function(Ktd){##CLIMED1 para diarios
  Fd=(Ktd<=0.13)*(0.952)+
    (Ktd>0.13 & Ktd<=0.8)*(0.868+1.335*Ktd-5.782*Ktd^2+3.721*Ktd^3)+
      (Ktd>0.8)*0.141
  return(Fd)
}

### Horarios

FdKtEKDh <- function(kt){##Erbs, Klein y Duffie para horarios
  fd=(kt<=0.22)*(1-0.09*kt)+
    (kt>0.22 & kt<=0.8)*(0.9511-0.1604*kt+4.388*kt^2-16.638*kt^3+12.336*kt^4)+
      (kt>0.8)*0.165
  return(fd)
}

FdKtCLIMEDh <- function(kt){##CLIMED2 para horarios
  fd=(kt<=0.21)*(0.995-0.081*kt)+
    (kt>0.21 & kt<=0.76)*(0.724+2.738*kt-8.32*kt^2+4.967*kt^3)+
      (kt>0.76)*0.180
  return(fd)
}
  
FdKtBRL <- function(kt, sol){##Boland et al.

  if (class(sol)=='Sol') {
    sample=sol@sample
    sol <- as.zooI(sol, day=TRUE)
  } else {
    sample=median(diff(index(sol)))
  }

  idx=index(sol)
  w=coredata(sol$w)
  aman=coredata(sol$aman)
  AlS=coredata(sol$AlS)

  ##Calculo de Ktd
  Bo0 <- coredata(sol$Bo0)
  G0 <- kt*Bo0
  day <- truncDay(idx)
  G0d <- ave(G0, list(day), FUN=function(x) P2E(x, sample))
  Bo0d <- ave(Bo0, list(day), FUN=function(x) P2E(x, sample))
  Ktd <- G0d/Bo0d
  Ktd[!aman]=0

  ##Cálculo de la persistencia
  kt=zoo(kt, idx)
  ktNA=na.omit(kt)  
  iDay=truncDay(index(ktNA))
  x=rle(as.numeric(iDay))$lengths
  xLast=cumsum(x)
  xFirst=xLast-x+1

  lag1=lag(ktNA, 1, na.pad=TRUE)
  lag1[xLast] <- ktNA[xLast-1]
  lag_1=lag(ktNA, -1, na.pad=TRUE)
  lag_1[xFirst] <- ktNA[xFirst+1]
  K=cbind(kt, lag1, lag_1, media=1/2*(lag1+lag_1))
  pers=coredata(K$media)

  ##Cálculo de fd

  fd=(1+exp(-5.38+6.63*kt+0.006*r2h(w)-0.007*r2d(AlS)+1.75*Ktd+1.31*pers))^(-1)


  return(fd)
}