cloud_regions_metadata

20 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

power-usage-effectiveness 1 ✖

  • 1.12 · 20 ✖
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
2 2 2023 Google Cloud asia-east1 Taiwan TW TW Taiwan 25.0375,121.5625 0.18   1.12   0.0 451.0 537.64   537.76              
30 30 2023 Google Cloud southamerica-west1 Chile CL-SEN CHL Santiago -33.4372,-70.6506 0.91   1.12   0.0 56.0 272.26   272.2              
35 35 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   388.25              
40 40 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   396.77              
62 62 2023 Amazon Web Services eu-north-1 Sweden SE SE Europe (Stockholm) 59.3294,18.0686     1.12 0.18 0.0   24.71   21.28              
100 100 2022 Google Cloud asia-east1 Taiwan TW TW Taiwan 25.0375,121.5625 0.18   1.12   0.0 453.0 535.48   535.49              
136 136 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            
158 158 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            
169 169 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            
170 170 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            
172 172 2022 Microsoft Azure newzealandnorth New Zealand NZ NZ New Zealand -36.867, 174.751     1.12 0.0     96.35   96.35              
174 174 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              
175 175 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              
177 177 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            
178 178 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            
179 179 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            
181 181 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            
185 185 2022 Microsoft Azure mexicocentral Mexico MX MX_SIN Mexico Central 20.631, -100.428     1.12 0.056       421.9293015   422.0            
186 186 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            
188 188 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            

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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
);