cloud_regions_metadata
10 rows where cfe-region = "New South Wales"
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Suggested facets: year, cloud-provider, cloud-region, 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
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11 | 11 | 2023 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | -33.8678,151.21 | 0.33 | 0.0 | 501.0 | 545.01 | 546.1 | |||||||||||
53 | 53 | 2023 | Amazon Web Services | ap-southeast-2 | New South Wales | AU-NSW | NEM_NSW | Asia Pacific (Sydney) | -33.8678,151.21 | 1.15 | 0.18 | 545.01 | 546.1 | ||||||||||||
78 | 78 | 2023 | Microsoft Azure | australiaeast | New South Wales | AU-NSW | NEM_NSW | Australia East | -33.889, 151.067 | 545.01 | 546.1 | ||||||||||||||
109 | 109 | 2022 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | -33.8678,151.21 | 0.27 | 0.0 | 538.0 | 586.3 | 770.3638355 | 585.48 | 770.0 | |||||||||
149 | 149 | 2022 | Amazon Web Services | ap-southeast-2 | New South Wales | AU-NSW | NEM_NSW | Asia Pacific (Sydney) | -33.8678,151.21 | 1.15 | 0.19 | 586.3 | 770.3638355 | 585.48 | 770.0 | ||||||||||
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 | |||||||||||
205 | 205 | 2021 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | 0.21 | 0.0 | 598.0 | 654.6 | 652.27 | ||||||||||||
243 | 243 | 2021 | Amazon Web Services | ap-southeast-2 | New South Wales | AU-NSW | NEM_NSW | Asia Pacific (Sydney) | 654.6 | 652.27 | |||||||||||||||
269 | 269 | 2020 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | 0.11 | 0.0 | 727.0 | 692.71 | 692.61 | ||||||||||||
295 | 295 | 2019 | Google Cloud | australia-southeast1 | New South Wales | AU-NSW | NEM_NSW | Sydney | 0.11 | 0.0 | 725.0 | 711.83 | 711.82 |
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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 );