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rosmose-setup.R
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rosmose-setup.R
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knitr::opts_chunk$set(echo = F)
if (!requireNamespace("devtools"))
install.packages('devtools')
if (!require("ipesedisplay"))
devtools::install_git("https://gitlab:[email protected]/ipese/r/ipese-packages/ipesedisplay.git")
if (!require("reticulate"))
install.packages("reticulate")
if (!require("DiagrammeRsvg"))
install.packages('DiagrammeRsvg')
if(!require('dplyr'))
install.packages("dplyr", dependencies = T)
if(!require('plotly'))
install.packages("plotly", dependencies = T)
if(!require('knitr'))
install.packages("knitr", dependencies = T)
if(!require('ggplot2'))
install.packages("ggplot2", dependencies = T)
if(!require('tidyr'))
install.packages("tidyr", dependencies = T)
if(!require('tibble'))
install.packages("tibble", dependencies = T)
if(!require('DT'))
install.packages("DT")
if(!require('formatR'))
install.packages("formatR")
library(ipesedisplay)
library(reticulate)
library(DiagrammeR)
library(DiagrammeRsvg)
library(jsonlite)
library(dplyr)
library(plotly)
library(knitr)
library(ggplot2)
library(tidyr)
library(tibble)
library(purrr)
venv <- NULL
if (length(rmarkdown::metadata$venv) > 0) {venv <- rmarkdown::metadata$venv} else {venv <- "./venv"}
virtualenv_create(venv)
virtualenv_install(venv, "pyxosmose==1.14.0", pip_options = "--trusted-host=ipese-internal.epfl.ch --extra-index-url=https://ipese-internal.epfl.ch/registry/pypi/")
use_virtualenv(venv, required = T)
data <- NULL
knitr::opts_chunk$set(echo=T)
knitr::opts_chunk$set(error=F)
knitr::opts_chunk$set(message=F)
knitr::opts_chunk$set(warning=F)
def.chunk.hook <- knitr::knit_hooks$get("chunk")
knitr::knit_hooks$set(chunk = function(x, options) {
x <- def.chunk.hook(x, options)
ifelse(options$size != "normalsize", paste0("\n \\", options$size,"\n\n", x, "\n\n \\normalsize"), x)
})
py_run_string("from pyxosmose.rosmose import Rosmose")
ro <- py$Rosmose()
options("scipen"=100, "digits"=4)
knitr::knit_engines$set(rosmose = function(options) {
code <- paste(options$code, collapse = "\n")
file_name <- knitr::current_input()
result <- ro$retrieve_type(code, file_name)
if(result[[1]] == T) {
if(result[[2]] == 'custom_view'){
result[[3]]
} else if(result[[2]] == 'display_et'){
options$engine <- "r"
print(getwd())
knitr::engine_output(options, out = list(display_graph(result[[3]], paste0(getwd(), "/images/", result[[4]], ".svg"))))
} else if(result[[2]] == 'osmose_solve' || result[[2]] == 'osmose_load_result'){
data <<- fromJSON(result[[3]], flatten=FALSE)
data
}
else {
code
}
} else {
if(length(result) > 1) {
if(result[[2]] == 'osmose_solve' || result[[2]] == 'osmose_load_result'){
data <<- fromJSON(result[[3]], flatten=FALSE)
""
}
}
}
})
tag <- function(tag) {
for (el in ro.tags_manager.tags){
if(el$name == tag){
return(as.double(el$value))
}
}
}
readbibdata <- function(pattern) {
bib_path <- rmarkdown::metadata$bibliography
file_name <- knitr::current_input()
return(ro$read_bib_data(file_name, bib_path, pattern))
}
get_output_format_for_kable <- function () {
if (knitr::opts_knit$get("rmarkdown.pandoc.to") == "html") {
return("html")
} else {
return("markdown")
}
}
display_gcc <- function(time=1){
graphs <- data$results$graph[[1]]
graph <- graphs[[time]]
graph <- graph[graph$plot_type == "gcc",]$data[[1]]
gcc <- graph$curve[[1]]
if (!is_empty(gcc)){
plot_ly() %>%
add_trace(x=gcc$Q, y=gcc$T-273.15, mode = 'lines', line=list(color='blue'), name='GCC') %>%
add_trace(x=gcc$Q, y=1-298.15/gcc$T, mode = 'lines', line=list(color='blue'), yaxis = "y2", type = 'scatter', showlegend = FALSE) %>%
layout(xaxis= list(title = "Heat load [kW]"),
yaxis= list(title = "Corrected Temperatures [°C]"),
yaxis2 = list(overlaying = "y", side = "right", title = 'Carnot factor 1-To/T [-]'),
margin= list(l=50, r=50, b=40, t=40),
title = "Grand Composite Curve"
)
} else {
print(paste("There is no GCC for timestep", time))
}
}
display_cc <- function(time=1){
graphs <- data$results$graph[[1]]
graph <- graphs[[time]]
graph <- graph[graph$plot_type == "cc",]$data[[1]]
hcc <- graph[graph$title == "Hot streams",]$curve[[1]]
ccc <- graph[graph$title == "Cold streams",]$curve[[1]]
if (!is_empty(hcc) && !is_empty(ccc)){
plot_ly() %>%
add_trace(x=hcc$Q, y=hcc$T-273.15, mode = 'lines', line=list(color='red'), name='Hot Stream') %>%
add_trace(x=hcc$Q, y=1-298.15/(hcc$T), line=list(color='red'), yaxis = "y2", type = 'scatter', showlegend = FALSE) %>%
add_trace(x=ccc$Q, y=ccc$T-273.15, mode = 'lines', line=list(color='blue'), name='Cold Streams') %>%
layout(xaxis= list(title = "Heat load [kW]"),
yaxis= list(title = "Corrected Temperatures [°C]"),
yaxis2 = list(overlaying = "y", side = "right", title = 'Carnot factor 1-To/T [-]'),
margin= list(l=50, r=0, b=40, t=40),
title = "Composite Curve"
)
} else {
print(paste("There is no CC for timestep", time))
}
}
display_icc <- function(time=1){
graphs <- data$results$graph[[1]]
graph <- graphs[[time]]
graph <- graph[graph$plot_type == "icc.utilities",]$data[[1]]
base <- graph[graph$title == "base",]$curve[[1]]
utilities <- graph[graph$title == "utilities",]$curve[[1]]
if (!is_empty(base) && !is_empty(utilities)){
plot_ly() %>%
add_trace(x=base$Q, y=base$T-273.15, mode = 'lines', line=list(color='red'), name='base') %>%
add_trace(x=utilities$Q, y=utilities$T-273.15, mode = 'lines', line=list(color='blue'), name='utilities') %>%
#add_trace(x=utilities$Q, y=1-298.15/(utilities$T), line=list(color='blue'), marker=list(color='blue'), yaxis = "y2", type = 'scatter', showlegend = FALSE) %>%
layout(xaxis= list(title = "Heat load [kW]"),
yaxis= list(title = "Corrected Temperatures [C]"),
margin= list(l=50, r=20, b=40, t=40),
yaxis2 = list(overlaying = "y", side = "right", title = 'Carnot factor 1-To/T [-]'),
title = "Integrated Composite Curve"
)
} else {
print(paste("There is no ICC for timestep", time))
}
}
display_carnot <- function(time=1){
graphs <- data$results$graph[[1]]
graph <- graphs[[time]]
graph <- graph[graph$plot_type == "carnot.utilities",]$data[[1]]
base <- graph[graph$title == "base",]$curve[[1]]
utilities <- graph[graph$title == "utilities",]$curve[[1]]
if (!is_empty(base) && !is_empty(utilities)){
plot_ly() %>%
add_trace(x=base$Q, y=base$T, mode = 'lines', line=list(color='red'), name='base') %>%
add_trace(x=utilities$Q, y=utilities$T, mode = 'lines', line=list(color='blue'), name='utilities') %>%
layout(xaxis= list(title = "Heat load [kW]"),
yaxis= list(title = "Carnot factor 1-To/T [-]"),
margin= list(l=50, r=20, b=40, t=40),
title = "Carnot"
)
} else {
print(paste("There is no Carnot for timestep", time))
}
}
get_HEN <- function () {
spag_area <- data$results$spaghetti[[1]]$Clu.DefaultHeatCascade.area_total
min_number_HEX <- data$results$spaghetti[[1]]$Clu.DefaultHeatCascade.HEs
hex_area <- spag_area / min_number_HEX
an_factor <- 0.10
c_hen <- (8500 + 409 * hex_area^(0.85)) * min_number_HEX * 603.1/402 * an_factor
return(list("hex_area" = hex_area, "an_factor" = an_factor, "c_hen"= c_hen))
}