cloud_regions_metadata
22 rows where provider-cfe-annual = "1.0"
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Suggested facets: cloud-provider, cfe-region, em-zone-id, wt-region-id, geolocation, provider-cfe-hourly, power-usage-effectiveness, water-usage-effectiveness, grid-carbon-intensity-marginal-consumption-annual, grid-carbon-intensity
| 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 1.15 | 0.19 | 0 | 565.1671385 | 565 | |||||||||||
| 137 | 137 | 2022 | Amazon Web Services | us-east-1 | PJM | US-MIDA-PJM | PJM_DC | US East (N. Virginia) | 39.1057,-77.5544 | 1.0 | 1.15 | 0.19 | 0 | 565.3840343 | 565 | |||||||||||
| 138 | 138 | 2022 | Amazon Web Services | us-west-1 | CAISO | US-CAL-CISO | CAISO_NORTH | US West (N. California) | 36.7783,-119.417931 | 1.0 | 1.15 | 0.19 | 0 | 392.7840553 | 393 | |||||||||||
| 139 | 139 | 2022 | Amazon Web Services | us-west-2 | BPA | US-NW-BPAT | BPA | US West (Oregon) | 45.5371,-122.65 | 1.0 | 1.15 | 0.19 | 0 | 427.1886293 | 427 | |||||||||||
| 142 | 142 | 2022 | Amazon Web Services | ap-south-2 | Hyderabad | IN-SO | IND | Asia Pacific (Hyderabad) | 17.385,78.4867 | 1.0 | 1.15 | 0.19 | 0 | 679.4097431 | 679 | |||||||||||
| 145 | 145 | 2022 | Amazon Web Services | ap-south-1 | Maharashtra | IN-WE | IND | Asia Pacific (Mumbai) | 19.0761,72.8775 | 1.0 | 1.15 | 0.19 | 0 | 679.4097431 | 679 | |||||||||||
| 151 | 151 | 2022 | Amazon Web Services | ca-central-1 | Quebec | CA-QC | HQ | Canada (Central) | 45.5089,-73.5617 | 1.0 | 1.15 | 0.19 | 0 | 462.2451779 | 462 | |||||||||||
| 152 | 152 | 2022 | Amazon Web Services | eu-central-1 | Germany | DE | DE | Europe (Frankfurt) | 50.1106,8.6822 | 1.0 | 1.15 | 0.19 | 0 | 741.7175367 | 742 | |||||||||||
| 153 | 153 | 2022 | Amazon Web Services | eu-west-1 | Ireland | IE | IE | Europe (Ireland) | 53.35,-6.2603 | 1.0 | 1.15 | 0.19 | 0 | 507.95177 | 508 | |||||||||||
| 154 | 154 | 2022 | Amazon Web Services | eu-west-2 | Great Britain | GB | UK | Europe (London) | 51.726,-0.3 | 1.0 | 1.15 | 0.19 | 0 | 427.7283704 | 428 | |||||||||||
| 155 | 155 | 2022 | Amazon Web Services | eu-south-1 | North Italy | IT | IT | Europe (Milan) | 45.4669,9.19 | 1.0 | 1.15 | 0.19 | 0 | 385.8847276 | 386 | |||||||||||
| 156 | 156 | 2022 | Amazon Web Services | eu-west-3 | France | FR | FR | Europe (Paris) | 48.8567,2.3522 | 1.0 | 1.15 | 0.19 | 0 | 383.7390836 | 384 | |||||||||||
| 157 | 157 | 2022 | Amazon Web Services | eu-south-2 | Spain | ES | ES | Europe (Spain) | 40.3333,-3.8667 | 1.0 | 1.15 | 0.19 | 0 | 370.288102 | 370 | |||||||||||
| 158 | 158 | 2022 | Amazon Web Services | eu-north-1 | Sweden | SE | SE | Europe (Stockholm) | 59.3294,18.0686 | 1.0 | 1.15 | 0.19 | 0 | 781.7946219 | 782 | |||||||||||
| 159 | 159 | 2022 | Amazon Web Services | eu-central-2 | Switzerland | CH | CH | Europe (Zurich) | 47.3744,8.5411 | 1.0 | 1.15 | 0.19 | 0 | 778.7844238 | 779 | |||||||||||
| 164 | 164 | 2022 | Amazon Web Services | us-gov-east-1 | PJM | US-MIDA-PJM | PJM_DC | GovCloud (US East) | 39.1057,-77.5544 | 1.0 | 1.15 | 0.19 | 0 | 565.3840343 | 565 | |||||||||||
| 165 | 165 | 2022 | Amazon Web Services | us-gov-west-1 | BPA | US-NW-BPAT | BPA | GovCloud (US West) | 45.5371,-122.65 | 1.0 | 1.15 | 0.19 | 0 | 427.1886293 | 427 | |||||||||||
| 166 | 166 | 2022 | Amazon Web Services | cn-north-1 | China (Beijing) | 39.904,116.4075 | 1.0 | 1.15 | 0.19 | 0 | ||||||||||||||||
| 167 | 167 | 2022 | Amazon Web Services | cn-northwest-1 | China (Ningxia) | 38.4795,106.2254 | 1.0 | 1.15 | 0.19 | 0 | ||||||||||||||||
| 173 | 173 | 2022 | Microsoft Azure | swedencentral | Sweden | SE | SE | Sweden | 59.329,18.067 | 1.0 | 1.0 | 1.172 | 0.16 | 0 | 781.7946219 | 782 | ||||||||||
| 190 | 190 | 2022 | Microsoft Azure | centralus | MISO | US-MIDW-MISO | MISO | Iowa: Central US | 41.573,-93.608 | 1.0 | 1.16 | 0.19 | 0 | |||||||||||||
| 191 | 191 | 2022 | Microsoft Azure | southcentralus | ERCOT | US-TEX-ERCO | ERCOT | Texas: South Central US | 29.453,-98.508 | 1.0 | 1.307 | 1.82 | 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] INTEGER, [provider-carbon-intensity-average-consumption-hourly] INTEGER, [grid-carbon-intensity-average-consumption-annual] INTEGER, [grid-carbon-intensity-marginal-consumption-annual] FLOAT, [grid-carbon-intensity-average-production-annual] INTEGER, [grid-carbon-intensity] INTEGER, [total-ICT-energy-consumption-annual] INTEGER, [total-water-input] INTEGER, [renewable-energy-consumption] INTEGER, [renewable-energy-consumption-goe] INTEGER, [renewable-energy-consumption-ppa] INTEGER, [] INTEGER, [renewable-energy-consumption-onsite] INTEGER );