| SISTRANGAS Node Records | ||||||||
|---|---|---|---|---|---|---|---|---|
| nodo | denomina | origen | region | zona | tipo | dia | energia | clase |
| V024 | V024_CACTUS10 | nacional | Sur | Zona 8 | rec | 2024-11-30 | 0.00 | cpg |
| V025 | V025_CACTUSNV | nacional | Sur | Zona 8 | rec | 2024-11-01 | 711.75 | cpg |
| V028 | V028_CULEBRA | nacional | Golfo | Zona 3 | rec | 2024-11-30 | 0.00 | campos |
| V030 | V030_GLORIADI | importacion | Norte | Zona 1 | rec | 2024-11-01 | 63.54 | WestTX |
| V032 | V032_IMPCORAL | importacion | Golfo | Zona 3 | rec | 2024-11-30 | 342.29 | SouthTX |
| V033 | V033_IMPTENNE | importacion | Golfo | Zona 3 | rec | 2024-11-01 | 98.68 | SouthTX |
| V034 | V034_IMPTETCO | importacion | Golfo | Zona 3 | rec | 2024-11-30 | 0.00 | SouthTX |
| V036 | V036_INYMONCL | nacional | Golfo | Zona 3 | rec | 2024-11-01 | 0.00 | campos |
| V037 | V037_KMMTYINY | importacion | Golfo | Zona 3 | rec | 2024-11-30 | 60.67 | KM |
| V042 | V042_PLAYUELA | nacional | Golfo | Zona 7 | rec | 2024-11-01 | 222.29 | campos |
| V045 | V045_PEPMENDO | nacional | Golfo | Zona 7 | rec | 2024-11-30 | 427.85 | campos |
| V051 | V051_RAUDAL | nacional | Golfo | Zona 5 | rec | 2024-11-01 | 0.00 | campos |
| V055 | V055_LNGALTIN | importacion LNG | Golfo | Zona 4 | rec | 2024-11-30 | 7.00 | TLA |
| V056 | V056_CAMPONEJ | nacional | Golfo | Zona 4 | rec | 2024-11-01 | 26.62 | campos |
| V059 | V059_MAREOGRA | nacional | Golfo | Zona 4 | rec | 2024-11-30 | 0.00 | campos |
| V061 | V061_RAMONES | importacion | Golfo | Zona 3 | rec | 2024-11-01 | 1,460.20 | NetMX |
| V062 | V062_INYTGNHE | importacion | Occidente | Zona 5 | rec | 2024-11-30 | 228.51 | Marino |
| V067 | V067_IMPENERG | importacion | Golfo | Zona 3 | rec | 2024-11-01 | 152.93 | SouthTX |
| V074 | V074_MONTEGRA | importacion | Golfo | Zona 5 | rec | 2024-11-30 | 0.00 | Marino |
| V076 | V076_GAZA | importacion | Golfo | Zona 6 | rec | 2024-11-30 | 174.08 | WahaJara |
| V077 | V077_INYREYNO | nacional | Golfo | Zona 3 | rec | 2024-11-01 | 0.00 | campos |
| V079 | V079_RICOS | nacional | Golfo | Zona 3 | rec | 2024-11-01 | 1.98 | campos |
| V905 | V905_CPG_POZA | nacional | Golfo | Zona 5 | rec | 2024-11-03 | 10.33 | cpg |
| V907 | V907_LAVENTA | nacional | Sur | Zona 8 | rec | 2024-11-30 | 10.51 | cpg |
| V908 | V908_MATAPION | nacional | Golfo | Zona 7 | rec | 2024-11-03 | 5.58 | cpg |
| V918 | V918_ELCASTIL | importacion | Occidente | Zona 6 | rec | 2024-11-30 | 125.63 | WahaJara |
| V9B6 | V9B6_INYBURGO | nacional | Golfo | Zona 3 | rec | 2024-11-03 | 242.22 | cpg |
Untitled
SISTRANGAS daily receipts
By location
The SISTRANGAS (Sistema de Transporte y Almacenamiento Nacional Integrado de Gas Natural) is Mexico’s primary natural gas transportation network, responsible for distributing gas across the country. Its receipt locations are critical points where gas enters the system from domestic production, U.S. imports, LNG terminals, and private pipeline interconnections.
Sistrangas receipts
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.
Summary statistics
| SISTRANGAS Node summary statistics | ||||||||
|---|---|---|---|---|---|---|---|---|
| nodo | last_value | min_energy | max_energy | median_energy | mean_energy | sd_energy | max_day | last_positive_day |
| V061 | 1,538.30 | 88.82 | 2,159.48 | 1,700.87 | 1,670.79 | 374.26 | 2018-10-18 | 2024-11-30 |
| V025 | 786.64 | 110.65 | 1,298.16 | 747.31 | 706.63 | 271.52 | 2015-01-28 | 2024-11-30 |
| V045 | 427.85 | 41.65 | 476.00 | 176.06 | 202.99 | 93.25 | 2024-09-12 | 2024-11-30 |
| V032 | 342.29 | 0.00 | 377.22 | 306.79 | 282.59 | 73.10 | 2022-07-08 | 2024-11-30 |
| V9B6 | 241.26 | 180.12 | 845.33 | 373.47 | 403.42 | 132.32 | 2015-01-01 | 2024-11-30 |
| V062 | 228.51 | 0.00 | 570.66 | 255.90 | 253.29 | 121.00 | 2021-07-08 | 2024-11-30 |
| V042 | 223.76 | 0.43 | 235.88 | 74.47 | 103.73 | 62.69 | 2023-01-11 | 2024-11-30 |
| V067 | 186.69 | 0.00 | 263.80 | 156.68 | 141.66 | 71.59 | 2019-04-04 | 2024-11-30 |
| V076 | 174.08 | 0.00 | 328.06 | 0.00 | 66.88 | 82.69 | 2024-03-21 | 2024-11-30 |
| V918 | 125.63 | 0.00 | 365.00 | 115.08 | 107.38 | 78.16 | 2016-08-25 | 2024-11-30 |
| V033 | 102.74 | 0.00 | 332.30 | 180.72 | 174.53 | 63.97 | 2017-12-21 | 2024-11-30 |
| V030 | 61.06 | 0.00 | 147.18 | 64.84 | 78.71 | 29.33 | 2015-07-16 | 2024-11-30 |
| V037 | 60.67 | 7.53 | 569.28 | 130.89 | 191.08 | 148.32 | 2015-06-30 | 2024-11-30 |
| V056 | 24.16 | 0.00 | 240.68 | 78.78 | 81.21 | 60.91 | 2015-02-12 | 2024-11-30 |
| V907 | 10.51 | 0.00 | 156.42 | 70.14 | 77.81 | 33.75 | 2015-03-07 | 2024-11-30 |
| V905 | 8.98 | 0.00 | 107.63 | 28.15 | 35.01 | 27.18 | 2015-02-12 | 2024-11-30 |
| V055 | 7.00 | 0.00 | 636.69 | 7.94 | 72.21 | 118.99 | 2017-08-26 | 2024-11-30 |
| V908 | 5.49 | 0.00 | 15.80 | 7.52 | 7.58 | 3.48 | 2015-01-08 | 2024-11-30 |
| V079 | 1.68 | 0.00 | 3.40 | 0.00 | 0.38 | 0.85 | 2024-09-12 | 2024-11-30 |
| V024 | 0.00 | 0.00 | 584.72 | 353.32 | 240.07 | 209.94 | 2015-01-01 | 2020-09-19 |
| V028 | 0.00 | 0.00 | 75.34 | 0.00 | 0.04 | 1.73 | 2016-04-07 | 2016-04-08 |
| V034 | 0.00 | 0.00 | 158.26 | 0.00 | 7.74 | 25.29 | 2017-11-15 | 2024-10-30 |
| V036 | 0.00 | 0.00 | 32.16 | 8.50 | 9.29 | 6.72 | 2015-01-02 | 2023-01-31 |
| V051 | 0.00 | 0.00 | 17.48 | 8.19 | 7.31 | 7.12 | 2017-08-11 | 2020-04-30 |
| V059 | 0.00 | 0.00 | 33.11 | 10.05 | 9.75 | 7.15 | 2015-01-10 | 2023-01-31 |
| V074 | 0.00 | 0.00 | 550.31 | 0.00 | 84.23 | 125.66 | 2021-05-05 | 2024-11-29 |
| V077 | 0.00 | 0.00 | 4.00 | 0.00 | 0.13 | 0.50 | 2023-03-30 | 2024-01-29 |
Monthly averages Sistrangas receip
sisrec_month <- sistra_rec %>%
mutate(month = as.numeric(month)) %>% # Ensure month is numeric
group_by(year, month, nodo) %>%
summarise(TJ_day = mean(energia, na.rm = TRUE), .groups = "drop") %>%
mutate(gas_month = as.Date(paste(year, month, "01", sep = "-"))) # Convert to Date format
ggplot(sisrec_month, aes(x = gas_month, y = TJ_day, fill = nodo)) +
geom_area(position = "stack", alpha = 0.6) + # Adjust transparency
theme_linedraw() +
labs(title = "SISTRANGAS receipts (monthly average)", x = "Gas month", y = "Energy TJ per day", fill = "nodo") +
theme(text = element_text(size = 9, family = "Open Sans"), # Slightly larger font
legend.position = "right") + # Move legend to the right for clarity
scale_fill_manual(values = custom_palette)
sisrec_year <- sistra_rec %>%
group_by(year, nodo) %>%
summarise(TJ_day = mean(energia, na.rm = TRUE), .groups = "drop") %>%
mutate(gas_year = as.Date(paste(year, "01", "01", sep = "-"))) # Convert to Date format
ggplot(sisrec_year, aes(x = gas_year, y = TJ_day, fill = nodo)) +
geom_col(position = "stack", alpha = 0.6) + # Adjust transparency
theme_linedraw() +
labs(title = "SISTRANGAS receipts (annual average)", x = "Gas year", y = "Energy TJ per day", fill = "nodo") +
theme(text = element_text(size = 9, family = "Open Sans"), # Slightly larger font
legend.position = "right") + # Move legend to the right for clarity
scale_fill_manual(values = custom_palette)
# Summarize data
sisrec_year_table <- sistra_rec %>%
group_by(year, nodo) %>%
summarise(TJ_day = round(mean(energia, na.rm = TRUE),1), .groups = "drop") %>%
pivot_wider(names_from = year, values_from = TJ_day, values_fill = 0) # Convert years to columns
# Display the table
print(sisrec_year_table)# A tibble: 27 × 11
nodo `2015` `2016` `2017` `2018` `2019` `2020` `2021` `2022` `2023` `2024`
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 V024 405 397 387. 436. 437. 318. 0 0 0 0
2 V025 1027. 848. 616. 395. 336. 418. 697. 901. 1017. 823.
3 V028 0 0.4 0 0 0 0 0 0 0 0
4 V030 111. 124. 105. 78.1 59.7 55.1 61.7 64.5 63.2 64.3
5 V032 187. 206. 188. 294. 332. 310. 324. 320. 329. 340.
6 V033 193 156. 193. 208. 236. 197 219. 126. 109 103.
7 V034 6.9 4.9 23.3 31 4.9 1.7 2.9 0.2 0 1.1
8 V036 19.6 15.9 14.9 12.3 7.8 8.3 7.2 5.5 0.5 0
9 V037 486. 413. 224 102. 146. 140. 125. 123. 68.8 74
10 V042 88.8 60.8 46.7 44.4 66.4 67.3 111. 215. 156. 188.
# ℹ 17 more rows
sis_origyr <- sis_orig %>%
group_by(year, origen) %>%
summarise(TJ_day = mean(energia, na.rm = TRUE), .groups = "drop") %>%
mutate(gas_year = as.Date(paste(year, "01", "01", sep = "-"))) # Convert to Date format
ggplot(sis_origyr, aes(x = gas_year, y = TJ_day, fill = origen)) +
geom_col(position = "stack", alpha = 0.6) + # Adjust transparency
theme_linedraw() +
labs(title = "SISTRANGAS receipts (annual average)", x = "Gas year", y = "Energy TJ per day", fill = "origin") +
theme(text = element_text(size = 9, family = "Open Sans"), # Slightly larger font
legend.position = "right") + # Move legend to the right for clarity
scale_fill_manual(values = custom_palshort)
sis_origyr_notra <- sis_origyr %>%
filter (origen != "transito")
ggplot(sis_origyr_notra, aes(x = gas_year, y = TJ_day, fill = origen)) +
geom_col(position = "stack", alpha = 0.6) + # Adjust transparency
theme_linedraw() +
labs(title = "SISTRANGAS receipts (annual average)", x = "Gas year", y = "Energy TJ per day", fill = "Origin") +
theme(text = element_text(size = 9, family = "Open Sans"), # Slightly larger font
legend.position = "right") + # Move legend to the right for clarity
scale_fill_manual(values = custom_palshort)