• Gaming
  • 18 columns
  • 56 rows
  • 8 formats

Gaming Data Center Energy Metrics

This dataset provides detailed energy and sustainability metrics for gaming data centers, including power usage, renewable energy share, cooling efficiency, and carbon emissions. It enables gaming organizations to monitor environmental impact, optimize operations, and support ESG reporting requirements. The data is structured for easy analysis across locations, organizations, and time periods.

  • last updated 13 Jan 2026
  • by GoMask
The brief that made it

ESG and sustainability reporting for gaming organizations

Sample rows

preview · 8 of 56 rows · all 18 columns
data_center_idstringrenewable_energy_typestringcooling_efficiency_kw_per_tonfloatlocation_countrystringdata_center_namestringorganization_idstringorganization_namestringlocation_streetstringlocation_citystringlocation_statestringlocation_postal_codestringreporting_period_startdatereporting_period_enddatetotal_power_usage_kwhfloatrenewable_energy_share_percentfloatpuefloatcarbon_emissions_metric_tonsfloatnotesstring
dc_north_001hydro0.87USANorthPoint Gaming Centerorg_gamerxGamerX Inc1011 Maple AveSeattleWA981092024-01-012024-01-31512000.4574.51.52145.2Upgraded cooling system this month.
dc_west_002solar1.03USAWestArcade Facilityorg_gamerxGamerX Inc2222 Cherry StSan JoseCA951262024-02-012024-02-29765120.8865.11.68205.6blank
dc_east_003wind0.94USAEastZone Server Huborg_gamerxGamerX Inc33 Oak LaneBostonMA021102024-03-012024-03-31390050.1280.21.4198.3Wind source increased this period.
dc_south_004solar1.22USASouthGate Datacenterorg_gamerxGamerX Inc400 Pine Ridge RdDallasTX752012024-04-012024-04-30603820.7754.31.91321.4Solar panels in maintenance for 4 days.
dc_central_005mixed1.15USACentralPlay Networkorg_levelupLevelUp Gaming501 Main StChicagoIL606162024-01-012024-01-3142000038.92.04405.9First period with geothermal integration.
dc_london_006wind0.99UKLondon Gaming Vaultorg_gamerxGamerX Inc88 Regent StLondonblankW1B 5RL2024-02-012024-02-29560210.5559.21.74236.7blank
dc_tokyo_007solar1.33JapanTokyo eSports Nodeorg_levelupLevelUp Gaming5-2-1 RoppongiTokyoblank106-00322024-03-012024-03-31661120.2142.82.18512.3Peak usage during gaming tournament.
dc_frankfurt_008hydro0.78GermanyFrankfurt GameHuborg_levelupLevelUp GamingKaiserstrasse 34FrankfurtHE603112024-04-012024-04-30322500.6790.51.1922.7Hydro source maximized.

What the 56 rows show

from the 56-row sample

Hydro (renewable energy type) stands out: mean cooling_efficiency_kw_per_ton is 0.71, against 1.0 for the rest.

  • 0.93median cooling_efficiency_kw_per_ton
  • 12organizations
  • 12organization names
  • 194,000median total_power_usage_kwh
  • 55.5median renewable_energy_share_percent
  • 1.4median pue
Mean cooling_efficiency_kw_per_ton by renewable_energy_type56 rows
0120.96solar16 ro…0.87wind10 ro…0.71hydro12 ro…1.1geot…1 rows1.2biom…4 rows1.0mixed7 rows1.4other6 rows
cooling_efficiency_kw_per_ton56 rows, in bands of 0.2
09182151712640.411.6cooling_efficiency_kw_per_ton →

Median 0.93, from 0.51 to 1.6.

location_country56 rows · top 10 of 21 values
  1. USA23
  2. Canada9
  3. UK4
  4. Germany2
  5. Australia2
  6. Japan1
  7. France1
  8. Spain1
  9. Italy1
  10. India1
18 columns by typefrom the column list below
  • string 11
  • float 5
  • date 2

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 11 columns
data_center_idstringUnique identifier for the gaming data centeruniquedc_north_001
data_center_namestringName of the gaming data centerNorthPoint Gaming Center
organization_idstringUnique identifier for the gaming organization that owns or operates the data center12 organizationsorg_gamerx
organization_namestringName of the gaming organization12 namesGamerX Inc
location_streetstringStreet address of the data center1011 Maple Ave
location_citystringCity where the data center is locatedSeattle
location_statestringState or region of the data centeroptionalWA
location_postal_codestringPostal code of the data center locationoptional98109
location_countrystringCountry where the data center is locatedUSA
renewable_energy_typestringPrimary type of renewable energy used (e.g., solar, wind, hydro, mixed)7 values · optionalhydro
notesstringAdditional notes or comments about the data center or reporting periodoptionalHydro source maximized.
Numbers 5 columns
total_power_usage_kwhfloatTotal power usage in kilowatt-hours during the reporting period0 or more512000.45
renewable_energy_share_percentfloatPercentage of total energy sourced from renewable resources0 to 10074.5
cooling_efficiency_kw_per_tonfloatCooling system efficiency measured in kilowatts per ton of cooling0 or more0.87
puefloatPower Usage Effectiveness (PUE) ratio for the data center1 or more1.52
carbon_emissions_metric_tonsfloatTotal carbon emissions in metric tons during the reporting period0 or more · optional145.2
Dates and times 2 columns
reporting_period_startdateStart date of the reporting period for the metrics2024-01-01
reporting_period_enddateEnd date of the reporting period for the metrics2024-01-31

Use it for

  • median cooling…0.9356 rowsmean cooling efficien…0.96solar0.87wind0.71hydro1.1geot…

    A gaming dashboard

    Cooling_efficiency_kw_per_ton by renewable_energy_type and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 12 hydro rows have a mean cooling_efficiency_kw_per_ton of 0.71?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable data centers with data_center_name, organization_id and organization_name to fill a screen in front of a buyer.

Not quite right?

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This dataset56 rows18 columns
Yours1,000 rows18 columnslocation_street: UK only

blueprint · gaming-data-center-energy-metrics

Behind this dataset

Same schema. As many rows as you need.

These 56 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents a monthly measurement for one data center.
  • Must include total energy consumption (kWh), % renewable energy, and average PUE (Power Usage Effectiveness).
  • Record cooling system type and any energy-saving upgrades implemented that month.
  • Flag entries where PUE exceeds industry-average thresholds.
  • Record associated carbon emissions (kg CO2e) using standardized conversion factors.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-data-center-energy-metrics

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