#' industry_so_enuse_data
#'
#' Process industrial primary output query for only industrial energy use
#' @param query GCAM query containing building final energy output data of one or multiple scenarios
#' @param scenario GCAM scenarios to include in processed data
#' @keywords building final energy
#' @import dplyr tidyr
#' @export
#' @examples
#' industry_so_enuse_data("queryA.csv", c("Reference1,date=2017-9-6T13:43:53-07:00", "Reference2,date=2017-9-6T13:43:53-07:00"))
industry_so_enuse_data <- function(query, scenarios, query_dir = QUERY_FOLDER){
tech_order <- c("Refined Liquids", "Gas", "Coal", "Biomass",
"Electricity", "Hydrogen", "Traditional Biomass", "District Heat")
query_title <- query_id(query_dir) %>%
filter(file == query) %>%
select(title) %>%
as.character
IEU <- read_query(paste0(query_dir,query), skip = 1) %>%
filter(scenario != query_title, scenario != "scenario",
scenario %in% scenarios) %>%
gather(year, value, `1990`:`2100`) %>%
mutate(year = as.integer(year)) %>%
filter(year >= 2010,
grepl('industrial energy use', sector)) %>%
mutate(technology = stringr::str_replace(technology, " cogen", "")) %>%
group_by(scenario, region, Units, year, technology) %>%
summarise(value = sum(value)) %>%
ungroup %>%
mutate(technology = stringr::str_to_title(technology),
technology = factor(technology, levels = tech_order),
scenario = if_else(grepl(",date", scenario),
substr(scenario, 1, regexpr(",date", scenario)[1]-1),
scenario))
attr(IEU, "query") <- "Industrial Energy Use Primary Output"
attr(IEU, "colors") <- SERVICE_OUTPUT_COLORS
attr(IEU, "fill") <- "technology"
attr(IEU, "default_plot") <- "bar"
return(IEU)
}
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