Remote Learning Device Energy Report

This dataset provides detailed, device-level energy consumption reports for remote learning environments, including device specifications, usage metrics, estimated costs, and environmental impact. It enables edtech organizations to benchmark device performance, identify high-consumption patterns, and make data-driven decisions for sustainable hardware selection and operational optimization.

  • last updated 20 Dec 2025
  • by GoMask
The brief that made it

Benchmarking energy efficiency of devices used for remote learning

Sample rows

preview · 8 of 55 rows · all 19 columns
device_energy_report_idstringdevice_typestringco2_emissions_kgfloatlocation_countrystringdevice_idstringdevice_modelstringos_namestringos_versionstringuser_typestringlocation_citystringreport_datedateusage_hoursfloatenergy_consumed_kwhfloataverage_power_wattsfloatmax_power_wattsfloatenergy_cost_usdfloatnetwork_typestringplatform_namestringnotesstring
ERPT-001laptop0.28United StatesDEV-101Dell XPS 13 9310Windows10.0.19045studentBoston2024-05-016.20.4572.5120.30.11WiFiZoomDevice used for online lectures
ERPT-002tablet0.1United KingdomDEV-102Apple iPad Air 2022iOS17.3.1teacherLondon2024-05-024.30.1943.2610.07WiFiGoogle ClassroomTablet used for interactive teaching
ERPT-003desktop0.78GermanyDEV-103HP EliteDesk 800 G6Windows11.0.22621adminBerlin2024-05-028.51.32155.5201.20.38EthernetTeamsHigh-usage day for admin work
ERPT-004smartphone0.06IndiaDEV-104Samsung Galaxy S23Android14.0studentMumbai2024-05-0350.1123.338.90.04CellularZoomMobile device used for remote classes
ERPT-005other0.18BrazilDEV-105Lenovo 300e ChromebookChromeOS120.0.6099.234teacherSão Paulo2024-05-017.10.3246.760.50.09WiFiGoogle ClassroomChromebook used for digital teaching
ERPT-006laptop0.34CanadaDEV-106Apple MacBook Pro M2macOS14.4.1adminToronto2024-05-039.20.6785130.70.16EthernetTeamsAdmin work and management
ERPT-007tablet0.09AustraliaDEV-107Huawei MatePad ProAndroid13.0studentSydney2024-05-043.70.1642.359.40.05WiFiZoomTablet used for group study
ERPT-008desktop0.92South AfricaDEV-108Acer Aspire TC-1760Windows11.0.22621teacherCape Town2024-05-056.91.19172.4205.70.42EthernetTeamsDesktop used for remote instruction

What the 55 rows show

from the 55-row sample

Desktop (device type) stands out: mean co2_emissions_kg is 0.75, against 0.14 for the rest.

  • 0.19median co2_emissions_kg
  • 3network types
  • 3platform names
  • 4user types
  • 6os names
  • 5.7median usage_hours
Mean co2_emissions_kg by device_type55 rows
00.40.80.27laptop15 rows0.09tablet12 rows0.75desktop13 rows0.04smartp…10 rows0.12other5 rows
co2_emissions_kg55 rows, in bands of 0.1
0102020811302235100.51co2_emissions_kg →

Median 0.19, from 0.03 to 0.92.

location_country55 rows · top 10 of 24 values
  1. United States4
  2. United Kingdom4
  3. Brazil4
  4. Canada4
  5. Australia4
  6. South Africa4
  7. France4
  8. Japan4
  9. USA4
  10. Germany3
19 columns by typefrom the column list below
  • string 12
  • float 6
  • date 1

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
device_energy_report_idstringUnique identifier for each energy consumption report entryuniqueERPT-001
device_idstringUnique identifier for the device being measuredDEV-101
device_typestringType of device (e.g., laptop, tablet, desktop, smartphone)laptop · tablet · desktop · smartphone · otherlaptop
device_modelstringManufacturer and model name/number of the deviceDell XPS 13 9310
os_namestringOperating system name (e.g., Windows, macOS, Android, iOS, ChromeOS)6 namesWindows
os_versionstringOperating system versionoptional10.0.19045
user_typestringType of user (e.g., student, teacher, admin)student · teacher · admin · otherstudent
location_countrystringCountry where the device is usedUnited States
location_citystringCity where the device is usedoptionalBoston
network_typestringType of network connection used (e.g., WiFi, Ethernet, Cellular)WiFi · Ethernet · Cellular · Other · optionalWiFi
platform_namestringName of the remote learning platform used (e.g., Zoom, Google Classroom, Teams)3 names · optionalZoom
notesstringAdditional notes or observations about the device or usage during the reporting periodoptionalUsed for project work
Numbers 6 columns
usage_hoursfloatTotal hours the device was used during the reporting period0 or more6.2
energy_consumed_kwhfloatTotal energy consumed by the device during the reporting period (in kilowatt-hours)0 or more0.45
average_power_wattsfloatAverage power draw of the device during usage (in watts)0 or more · optional72.5
max_power_wattsfloatMaximum power draw observed during the reporting period (in watts)0 or more · optional120.3
energy_cost_usdfloatEstimated energy cost for the reporting period (in USD)0 or more · optional0.11
co2_emissions_kgfloatEstimated CO2 emissions for the energy consumed (in kilograms)0 or more · optional0.28
Dates and times 1 column
report_datedateDate for which the energy consumption data is reported2024-05-01

Use it for

  • median co2 emi…0.1955 rowsmean co2 emissions kg…0.27lapt…0.09tabl…0.75desk…0.04smar…

    An education dashboard

    Co2_emissions_kg by device_type and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 13 desktop rows have a mean co2_emissions_kg of 0.75?

    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 device energy reports with device_id, device_type and device_model to fill a screen in front of a buyer.

Not quite right?

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This dataset55 rows19 columns
Yours1,000 rows19 columnslocation_country: UK only

blueprint · remote-learning-device-energy-report

Behind this dataset

Same schema. As many rows as you need.

These 55 rows came out of a blueprint — 19 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 one device's weekly energy usage
  • Device type is categorized by form factor (laptop, tablet, desktop)
  • Usage hours must be recorded for each device
  • Energy consumption measured in kWh per week
  • Institution type (school, college, nonprofit) must be specified
  • Only devices used for remote instruction included
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-learning-device-energy-report

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