cloud_regions_metadata

24 rows where power-usage-effectiveness = "1.12"

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Suggested facets: year, cloud-provider, cloud-region, cfe-region, em-zone-id, wt-region-id, location, geolocation, provider-cfe-hourly, provider-cfe-annual, water-usage-effectiveness, provider-carbon-intensity-market-annual, provider-carbon-intensity-average-consumption-hourly, grid-carbon-intensity-marginal-consumption-annual, grid-carbon-intensity-average-production-annual, grid-carbon-intensity

power-usage-effectiveness 1 ✖

  • 1.12 · 24 ✖
Link rowid ▼ year cloud-provider cloud-region cfe-region em-zone-id wt-region-id location geolocation provider-cfe-hourly provider-cfe-annual power-usage-effectiveness water-usage-effectiveness provider-carbon-intensity-market-annual provider-carbon-intensity-average-consumption-hourly grid-carbon-intensity-average-consumption-annual grid-carbon-intensity-marginal-consumption-annual grid-carbon-intensity-average-production-annual grid-carbon-intensity total-ICT-energy-consumption-annual total-water-input renewable-energy-consumption renewable-energy-consumption-goe renewable-energy-consumption-ppa renewable-energy-consumption-onsite
22 22 2024 Amazon Web Services us-west-2 BPA US-NW-BPAT BPA US West (Oregon) 45.5371,-122.65     1.12 0.16 0.0   119.76 476.66 68.82              
24 24 2024 Google Cloud asia-east1 Taiwan TW TWN Taiwan 25.0375,121.5625 0.18 0.17 1.12   0.0 451.0 439.29 551.9 537.76              
54 54 2024 Google Cloud southamerica-west1 Chile CL-SEN CHL Santiago -33.4372,-70.6506 0.91 0.92 1.12   0.0 56.0 238.0 627.77 272.2              
59 59 2024 Google Cloud us-south1 ERCOT US-TEX-ERCO ERCOT_NORTHCENTRAL Dallas 44.9221,-123.313 0.79 0.94 1.12   0.0 321.0 302.95 484.03 388.25              
80 80 2023 Amazon Web Services eu-north-1 Sweden SE SE Europe (Stockholm) 59.3294,18.0686     1.12 0.18 0.0   24.71 791.26 21.28              
91 91 2023 Amazon Web Services us-east-2 PJM US-MIDA-PJM PJM_SOUTHWEST_OH US East (Ohio) 39.8689,-84.3292     1.12 0.18 0.0   396.25 557.0 396.77              
97 97 2023 Google Cloud asia-east1 Taiwan TW TWN Taiwan 25.0375,121.5625 0.18   1.12   0.0 451.0 537.64 551.9 537.76              
125 125 2023 Google Cloud southamerica-west1 Chile CL-SEN CHL Santiago -33.4372,-70.6506 0.91   1.12   0.0 56.0 272.26 627.77 272.2              
130 130 2023 Google Cloud us-south1 ERCOT US-TEX-ERCO ERCOT_NORTHCENTRAL Dallas 44.9221,-123.313 0.79   1.12   0.0 321.0 388.76 484.03 388.25              
179 179 2022 Amazon Web Services eu-north-1 Sweden SE SE Europe (Stockholm) 59.3294,18.0686   1.0 1.12 0.19 0.0   25.82 781.7946219 22.63 782.0            
190 190 2022 Amazon Web Services us-east-2 PJM US-MIDA-PJM PJM_SOUTHWEST_OH US East (Ohio) 39.8689,-84.3292   1.0 1.12 0.19 0.0   429.84 565.1671385 430.11 565.0            
195 195 2022 Google Cloud asia-east1 Taiwan TW TWN Taiwan 25.0375,121.5625 0.18   1.12   0.0 453.0 535.48   535.49              
232 232 2022 Microsoft Azure australiaeast New South Wales AU-NSW NEM_NSW Australia East -33.889, 151.067   0.28 1.12 0.012     586.3   585.48              
233 233 2022 Microsoft Azure australiasoutheast Victoria AU-VIC NEM_VIC Australia Southeast -37.725, 145.067   0.28 1.12 0.012     534.85   534.85              
234 234 2022 Microsoft Azure austriaeast Austria AT AT Austria East 48.217, 16.493   0.79 1.12 0.023     244.81 632.1527284 131.56 632.0            
235 235 2022 Microsoft Azure brazilsouth Brazil BR-CS BRA Brazil -22.939, -47.045   0.05 1.12 0.039     99.93 571.4267992 103.92 571.0            
240 240 2022 Microsoft Azure eastus3 SOCO US-SE-SOCO SOCO Georgia: East US 3 33.76,-84.401   0.08 1.12 0.06     460.38 533.5899463 467.07 534.0            
241 241 2022 Microsoft Azure greececentral Greece GR GR Greece Central 37.987, 23.745     1.12 0.102     434.85 437.5870529 424.27 438.0            
243 243 2022 Microsoft Azure italynorth North Italy IT-NO IT Italy North 45.4669,9.19   0.15 1.12 0.023     369.48 385.8847276 445.96 386.0            
244 244 2022 Microsoft Azure mexicocentral Mexico MX MX_SIN Mexico Central 20.631, -100.428     1.12 0.056       421.9293015   422.0            
245 245 2022 Microsoft Azure newzealandnorth New Zealand NZ NZL New Zealand -36.867, 174.751     1.12 0.0     96.35   96.35              
247 247 2022 Microsoft Azure northeurope Finland FI FI Finland 60.2065, 24.6753   0.1 1.12 0.01     132.69 784.9591618 147.0 785.0            
249 249 2022 Microsoft Azure polandcentral Poland PL PL Poland Central 52.23,21.0111     1.12 0.023     882.36 852.3941505 936.01 852.0            
252 252 2022 Microsoft Azure spaincentral Spain ES ES Spain Central 40.44,-3.679   0.15 1.12       220.63 370.288102 220.31 370.0            

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CREATE TABLE "cloud_regions_metadata" (
   [year] INTEGER,
   [cloud-provider] TEXT,
   [cloud-region] TEXT,
   [cfe-region] TEXT,
   [em-zone-id] TEXT,
   [wt-region-id] TEXT,
   [location] TEXT,
   [geolocation] TEXT,
   [provider-cfe-hourly] FLOAT,
   [provider-cfe-annual] FLOAT,
   [power-usage-effectiveness] FLOAT,
   [water-usage-effectiveness] FLOAT,
   [provider-carbon-intensity-market-annual] FLOAT,
   [provider-carbon-intensity-average-consumption-hourly] FLOAT,
   [grid-carbon-intensity-average-consumption-annual] FLOAT,
   [grid-carbon-intensity-marginal-consumption-annual] FLOAT,
   [grid-carbon-intensity-average-production-annual] FLOAT,
   [grid-carbon-intensity] FLOAT,
   [total-ICT-energy-consumption-annual] INTEGER,
   [total-water-input] INTEGER,
   [renewable-energy-consumption] INTEGER,
   [renewable-energy-consumption-goe] INTEGER,
   [renewable-energy-consumption-ppa] INTEGER,
   [renewable-energy-consumption-onsite] INTEGER
);