Your Excel file is in a non-tidy format (non-normalized data) so this is harder than it should be but it is doable, here a base plot you can customize as needed.
library(tidyverse)
library(readxl)
link <- "https://drive.google.com/uc?export=download&id=1rnhQfLAp-y-gB0AKHaVnd9UycwQL4ok2"
download.file(link, "data.xlsx")
Baseline <- read_xlsx("data.xlsx",
sheet = 1,
range = "D2:E36",
col_names = TRUE)
post_REEE <- read_xlsx("data.xlsx",
sheet = 1,
range = "H2:I36",
col_names = TRUE)
Abatement <- read_xlsx("data.xlsx",
sheet = 1,
range = "L2:M36",
col_names = TRUE)
list(Baseline, post_REEE, Abatement) %>%
set_names(nm = c("Baseline", "post_REEE", "Abatement")) %>%
map_dfr(.f = ~ .x, .id = "emision_type") %>%
mutate(emision_type = factor(emision_type, levels = c("Baseline", "post_REEE", "Abatement"))) %>%
ggplot(aes(x = years, y = emissions)) +
geom_area(aes(fill = emision_type), position = 'identity')

Created on 2021-04-14 by the reprex package (v2.0.0)