Baselight

Dataset For Renewable Energy Systems

Dataset on Renewable Energy Systems: Insights into Sustainable Energy Solutions

@kaggle.girumwondemagegn_dataset_for_renewable_energy_systems

About this Dataset

Dataset For Renewable Energy Systems

Dataset Description:

This dataset contains detailed information about various renewable energy systems, including installed capacity, energy production, consumption, storage, investment, and environmental impact. The goal is to provide a comprehensive view of renewable energy, useful for research and analysis in the field of sustainable energy.

Variables:

  1. Type_of_Renewable_Energy: Numerical code representing the type of renewable energy source (1: Solar, 2: Wind, 3: Hydroelectric, 4: Geothermal, 5: Biomass, 6: Tidal, 7: Wave).
  2. Installed_Capacity_MW: Installed capacity in megawatts (MW).
  3. Energy_Production_MWh: Yearly energy production in megawatt-hours (MWh).
  4. Energy_Consumption_MWh: Yearly energy consumption in megawatt-hours (MWh).
  5. Energy_Storage_Capacity_MWh: Energy storage capacity in megawatt-hours (MWh).
  6. Storage_Efficiency_Percentage: Efficiency of energy storage systems in percentage.
  7. Grid_Integration_Level: Numerical code representing the level of grid integration (1: Fully Integrated, 2: Partially Integrated, 3: Minimal Integration, 4: Isolated Microgrid).
  8. Initial_Investment_USD: Initial investment costs in USD.
  9. Funding_Sources: Numerical code representing the funding source (1: Government, 2: Private, 3: Public-Private Partnership).
  10. Financial_Incentives_USD: Financial incentives in USD.
  11. GHG_Emission_Reduction_tCO2e: Reduction in greenhouse gas emissions in tons of CO2 equivalent (tCO2e).
  12. Air_Pollution_Reduction_Index: Air pollution reduction index.
  13. Jobs_Created: Number of jobs created.

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