cloud_regions_metadata
5 rows where grid-carbon-intensity-marginal-consumption-annual = "679.4097431" and wt-region-id = "IND"
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Suggested facets: cloud-provider, cfe-region, em-zone-id, 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-average-production-annual
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 105 | 105 | 2022 | Google Cloud | asia-south1 | Maharashtra | IN-WE | IND | Mumbai | 19.0761,72.8775 | 0.24 | 0.0 | 555.0 | 747.67 | 679.4097431 | 760.68 | 679.0 | |||||||||
| 106 | 106 | 2022 | Google Cloud | asia-south2 | Uttar Pradesh | IN-NO | IND | Delhi | 28.6092,76.9798 | 0.23 | 0.0 | 632.0 | 552.52 | 679.4097431 | 552.19 | 679.0 | |||||||||
| 142 | 142 | 2022 | Amazon Web Services | ap-south-2 | Hyderabad | IN-SO | IND | Asia Pacific (Hyderabad) | 17.385,78.4867 | 1.0 | 0.19 | 0.0 | 504.69 | 679.4097431 | 501.99 | 679.0 | |||||||||
| 145 | 145 | 2022 | Amazon Web Services | ap-south-1 | Maharashtra | IN-WE | IND | Asia Pacific (Mumbai) | 19.0761,72.8775 | 1.0 | 1.43 | 0.19 | 0.0 | 747.67 | 679.4097431 | 760.68 | 679.0 | ||||||||
| 184 | 184 | 2022 | Microsoft Azure | indiasouthcentral | India | IN-SO | IND | India South Central | 17.385,78.4867 | 0.46 | 1.43 | 0.0 | 504.69 | 679.4097431 | 501.99 | 679.0 |
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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 );