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cloud_regions_metadata

36 rows where cloud-provider = "Google Cloud", provider-carbon-intensity-market-annual = 0 and year = 2022

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Suggested facets: provider-cfe-hourly, power-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
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              
101 101 2022 Google Cloud asia-east2 Hong Kong HK HK Hong Kong 22.3,114.2 0.28       0.0 360.0 435.36   435.36              
102 102 2022 Google Cloud asia-northeast1 Tokyo JP-TK JP_TK Tokyo 35.6897,139.692 0.16       0.0 463.0 546.82 535.9531592 554.76 536.0            
103 103 2022 Google Cloud asia-northeast2 Kansai JP-KN JP_KN Osaka 34.6939,135.502 0.32       0.0 383.0 420.67 550.5322311 410.06 551.0            
104 104 2022 Google Cloud asia-northeast3 South Korea KR KOR Seoul 37.56,126.99 0.31       0.0 425.0 455.53 686.0136038 455.52 686.0            
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            
107 107 2022 Google Cloud asia-southeast1 Singapore SG SGP Singapore 1.3,103.8 0.04   1.2   0.0 372.0 491.09 409.1860208 490.42 409.0            
108 108 2022 Google Cloud asia-southeast2 Indonesia ID ID Jakarta -6.2507,106.869 0.13       0.0 580.0 652.36   652.36              
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            
110 110 2022 Google Cloud australia-southeast2 Victoria AU-VIC NEM_VIC Melbourne -37.8142,144.963 0.34       0.0 490.0 534.85 664.5903366 534.85 665.0            
111 111 2022 Google Cloud europe-central2 Poland PL PL Warsaw 52.23,21.0111 0.24       0.0 738.0 882.36 852.3941505 936.01 852.0            
112 112 2022 Google Cloud europe-north1 Finland FI FI Finland 60.1708,24.9375 0.97   1.09   0.0 112.0 132.69 784.9591618 147.0 785.0            
113 113 2022 Google Cloud europe-southwest1 Spain ES ES Madrid 40.3333,-3.8667 0.67       0.0 160.0 220.63 370.288102 220.31 370.0            
114 114 2022 Google Cloud europe-west1 Belgium BE BE Belgium 51.1333,4.5667 0.8   1.09   0.0 123.0 196.35 411.1523178 174.17 411.0            
115 115 2022 Google Cloud europe-west2 Great Britain GB UK London 51.726,-0.3 0.85       0.0 166.0 220.45 427.7283704 223.87 428.0            
116 116 2022 Google Cloud europe-west3 Germany DE DE Frankfurt 50.1106,8.6822 0.96       0.0 413.0 474.46 741.7175367 488.94 742.0            
117 117 2022 Google Cloud europe-west4 Netherlands NL NL Netherlands 51.9167,4.5 0.57   1.07   0.0 317.0 337.25 487.2176839 348.62 487.0            
118 118 2022 Google Cloud europe-west6 Switzerland CH CH Zurich 47.3744,8.5411 0.85       0.0 118.0 148.39   49.5              
119 119 2022 Google Cloud europe-west8 North Italy IT-NO IT Milan 45.4669,9.19 0.42       0.0 323.0 369.48 385.8847276 445.96 386.0            
120 120 2022 Google Cloud europe-west9 France FR FR Paris 48.8567,2.3522 0.87       0.0 71.0 91.23 383.7390836 72.0 384.0            
121 121 2022 Google Cloud europe-west12 North Italy IT-NO IT Turin 45.0792,7.6761 0.42       0.0 323.0 369.48 385.8847276 445.96 386.0            
122 122 2022 Google Cloud me-west1 Israel IL IL Tel Aviv 32.0167,34.7667 0.02       0.0 476.0 541.78   541.78              
123 123 2022 Google Cloud northamerica-northeast1 Quebec CA-QC HQ Montréal 45.5089,-73.5617 1.0       0.0 0.0 28.22 462.2451779 27.92 462.0            
124 124 2022 Google Cloud northamerica-northeast2 Ontario CA-ON IESO_NORTH Toronto 43.7417,-79.3733 0.9       0.0 36.0 63.01 356.8894651 63.46 357.0            
125 125 2022 Google Cloud southamerica-east1 Central Brazil BR-CS BRA São Paulo -3.45,-68.95 0.89       0.0 65.0 99.93 571.4267992 103.92 571.0            
126 126 2022 Google Cloud southamerica-west1 Chile CL-SEN CHL Santiago -33.4372,-70.6506 0.9   1.09   0.0 165.0 321.66 615.8448463 321.66 616.0            
127 127 2022 Google Cloud us-central1 MISO US-MIDW-MISO MISO_MASON_CITY Iowa 41.5725,-93.6105 0.92   1.11   0.0 445.0 526.14 539.2510271 546.23 539.0            
128 128 2022 Google Cloud us-east1 SC US-CAR-SC SC South Carolina 34.8354,-82.3646 0.26   1.1   0.0 532.0 620.85 727.5301036 769.37 728.0            
129 129 2022 Google Cloud us-east4 PJM US-MIDA-PJM PJM_DC Northern Virginia 39.1057,-77.5544 0.6   1.08   0.0 354.0 429.84 565.3840343 430.11 565.0            
130 130 2022 Google Cloud us-east5 PJM US-MIDA-PJM PJM_SOUTHWEST_OH Columbus 41.4366,-97.3565 0.6   1.13   0.0 354.0 429.84 565.1671385 430.11 565.0            
131 131 2022 Google Cloud us-south1 ERCOT US-TEX-ERCO ERCOT_NORTHCENTRAL Dallas 44.9221,-123.313 0.41   1.14   0.0 342.0 405.38 441.0116857 404.88 441.0            
132 132 2022 Google Cloud us-west1 BPA US-NW-BPAT BPA Oregon 45.5372,-122.3955 0.89   1.1   0.0 67.0 86.61 427.1886293 58.5 427.0            
133 133 2022 Google Cloud us-west2 CAISO US-CAL-CISO LDWP Los Angeles 34.1141,-118.4068 0.56       0.0 202.0 264.4 501.0230748 247.55 501.0            
134 134 2022 Google Cloud us-west3 PACE US-NW-PACE PACE Salt Lake City 40.7776,-111.9311 0.31       0.0 606.0 658.67 664.0421037 676.5 664.0            
135 135 2022 Google Cloud us-west4 NVE US-NW-NEVP NEVP Las Vegas 35.6011,-105.2206 0.27   1.09   0.0 396.0 465.92 456.7534925 508.35 457.0            

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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
);
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