Factory Energy Usage Optimization

This dataset provides detailed records of energy consumption, costs, and sustainability initiatives across multiple production lines in manufacturing plants. It is designed to help operations leaders and sustainability managers identify inefficiencies, track energy reduction efforts, and support ESG compliance reporting, making it a valuable resource for optimizing energy usage and improving environmental performance.

  • last updated 26 Oct 2025
  • by GoMask
The brief that made it

Factory energy consumption analysis and benchmarking

Sample rows

preview · 8 of 120 rows · all 26 columns
plant_idstringenergy_sourcestringpeak_demand_kwfloatesg_compliance_flagbooleanplant_location_countrystringplant_namestringplant_location_streetstringplant_location_citystringplant_location_statestringplant_location_postal_codestringproduction_line_idstringproduction_line_namestringproduction_line_typestringenergy_usage_idstringtimestampdatetimeenergy_consumed_kwhfloatenergy_cost_usdfloatco2_emissions_kgfloatreduction_initiative_idstringreduction_initiative_namestringinitiative_start_datedateinitiative_end_datedateinitiative_statusstringinitiative_energy_saved_kwhfloatinitiative_co2_reduced_kgfloatnotesstring
PLANT-0001grid245.1falseUSADetroit Automotive Works1200 Elmwood AveDetroitMI48211DET-ASM-001Engine Assembly LineassemblyEU-20240601-00012024-06-01T09:15:003400.5612.091500.2blankblankblankblankblankblankblankNormal operation for assembly process. Slightly higher demand due to new equipment testing.
PLANT-0002grid110.5trueGermanyMunich Electronics Hub56 SiemensstrasseMunichBY80331MUN-PKG-002Final Packaging LinepackagingEU-20240601-00022024-06-01T07:45:001750.7332.42800.3RI-MUN-PKG-01HVAC Optimization Retrofit2024-03-012024-05-15completed75003200Packaging area benefited from HVAC upgrades; completed initiative last month.
PLANT-0003gas1950.2trueIndiaChennai Metalworks2 Steel Plant RoadChennaiTN600001CHE-SMT-003Smelting Furnace 1smeltingEU-20240601-00032024-06-01T11:10:0038000.96100.328000.5RI-CHE-SMT-01Gas Efficiency Upgrade2024-01-102024-05-29completed6800022000Smelting line received major upgrades for gas burners; significant reduction in energy use.
PLANT-0004solar390.7trueCanadaToronto Plastics Facility400 Plastics DrTorontoONM3N 1V7TOR-EXT-004Extrusion Line AextrusionEU-20240601-00042024-06-01T08:50:005100.2835.1535.4blankblankblankblankblankblankblankSolar-powered extrusion line running at standard capacity. Minimal CO2 emissions recorded.
PLANT-0005wind59.6trueChinaShanghai Precision Milling88 Huaihai RdShanghaiSH200021SHA-MIL-005Micro Milling LinemillingEU-20240601-00052024-06-01T10:30:00725.3143.56.7blankblankblankblankblankblankblankWind-powered micro milling line; routine operations, very low emissions.
PLANT-0006grid832.3falseBrazilSão Paulo Food Processing190 Av PaulistaSão PauloSP01310-000SAO-PRO-006Meat Processing UnitprocessingEU-20240601-00062024-06-01T07:20:0010560.41864.884300.5blankblankblankblankblankblankblankProcessing line operating at full capacity; moderate consumption and emissions.
PLANT-0007grid1600.8trueUKLeeds Metal Fabrication12 Foundry LaneLeedsWest YorkshireLS12 2AQLEE-FAB-007Sheet Fabrication 2fabricationEU-20240601-00072024-06-01T09:00:0024000.84452.9619000.7RI-LEE-FAB-01Waste Heat Recovery2023-12-102024-03-05completed4200015500Completed waste heat recovery project, boosting CO2 reduction in fabrication.
PLANT-0008solar35.5trueUSADallas Etching Systems4001 Commerce StDallasTX75226DAL-ETC-008Laser Etching LineetchingEU-20240601-00082024-06-01T12:35:00540.697.352.1blankblankblankblankblankblankblankSolar-powered etching line with minimal emissions; running below normal load.

What the 120 rows show

from the 120-row sample

Gas (energy source) stands out: mean peak_demand_kw is 1,595, against 479.2 for the rest.

  • 53%esg_compliance_flag = true
  • 314.0median peak_demand_kw
  • 2initiative statuses
  • 10production line types
  • 5,751median energy_consumed_kwh
  • 832.8median energy_cost_usd
Mean peak_demand_kw by energy_source120 rows
01,0002,000696.2grid63 rows135.1solar20 rows169.6wind17 rows1,595gas15 rows174.7other5 rows
peak_demand_kw120 rows, in bands of 500
0459082111067401,5003,000peak_demand_kw →

Median 314.0, from 11.6 to 2,651.

plant_location_country120 rows · top 10 of 23 values
  1. USA45
  2. Germany14
  3. UK10
  4. China7
  5. Canada6
  6. India5
  7. Brazil5
  8. Japan4
  9. Spain4
  10. Australia3
26 columns by typefrom the column list below
  • string 16
  • float 6
  • date 2
  • datetime 1
  • boolean 1

Columns

26 columns in four groups
blueprint · 26 columns
columntypedescriptionexample
Text 16 columns
plant_idstringUnique identifier for the manufacturing plantuniquePLANT-0001
plant_namestringOfficial name of the manufacturing plantDetroit Automotive Works
plant_location_streetstringStreet address of the plant1200 Elmwood Ave
plant_location_citystringCity where the plant is locatedDetroit
plant_location_statestringState or region of the plant locationMI
plant_location_postal_codestringPostal code of the plant location48211
plant_location_countrystringCountry where the plant is locatedUSA
production_line_idstringUnique identifier for the production line within the plantuniqueDET-ASM-001
production_line_namestringName or label for the production lineEngine Assembly Line
production_line_typestringType or category of production line (e.g., assembly, packaging)10 types · optionalassembly
energy_usage_idstringUnique identifier for the energy usage recorduniqueEU-20240601-0001
energy_sourcestringPrimary energy source used (e.g., grid, solar, wind, gas)grid · solar · wind · gas · other · optionalgrid
reduction_initiative_idstringUnique identifier for the energy reduction initiativeunique · optionalRI-MUN-PKG-01
reduction_initiative_namestringName or description of the energy reduction initiativeoptionalGas Efficiency Upgrade
initiative_statusstringCurrent status of the initiative (e.g., planned, active, completed)planned · active · completed · cancelled · optionalcompleted
notesstringAdditional notes or comments related to the recordoptionalNormal operation for asse…
Numbers 6 columns
energy_consumed_kwhfloatTotal energy consumed (in kilowatt-hours) during the recorded interval0 or more3400.5
energy_cost_usdfloatCost of energy consumed (in USD) for the recorded interval0 or more · optional612.09
peak_demand_kwfloatMaximum power demand (in kilowatts) during the recorded interval0 or more · optional245.1
co2_emissions_kgfloatEstimated CO2 emissions (in kilograms) for the recorded interval0 or more · optional1500.2
initiative_energy_saved_kwhfloatTotal energy saved (in kilowatt-hours) due to the initiative0 or more · optional7500
initiative_co2_reduced_kgfloatTotal CO2 emissions reduced (in kilograms) due to the initiative0 or more · optional3200
Dates and times 3 columns
timestampdatetimeDate and time when the energy usage was recorded2024-06-01T09:15:00
initiative_start_datedateDate when the energy reduction initiative startedoptional2024-03-01
initiative_end_datedateDate when the energy reduction initiative ended (if applicable)optional2024-05-15
True or false 1 column
esg_compliance_flagbooleanIndicates if the record is relevant for ESG compliance reportingoptionalfalse

Use it for

  • esg compliance…53%63 of 120 rowsmean peak demand kw b…696.2grid135.1solar169.6wind1.6kgas

    A manufacturing dashboard

    The esg_compliance_flag rate, peak_demand_kw by energy_source and a breakdown of plant_location_country. Excel, Power BI or Tableau.

  • Why do the 15 gas rows have a mean peak_demand_kw of 1,595?

    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 plants with plant_name, plant_location_street and plant_location_city to fill a screen in front of a buyer.

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This dataset120 rows26 columns
Yours1,000 rows26 columnsplant_location_street: UK only

blueprint · factory-energy-usage-optimization

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 26 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 daily summary for one production line.
  • Includes variables for machine runtime, energy consumed (kWh), and waste produced (kg).
  • Flags for scheduled maintenance and energy-saving interventions are tracked.
  • Lines with >10% energy reduction compared to baseline are highlighted.
  • Missing values for machine runtime must be marked as 'N/A'.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
factory-energy-usage-optimization

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