pipeline
string | generated_at
string | scenario
dict | annual
dict | monthly_breakdown
list | kpis
dict |
|---|---|---|---|---|---|
ida_ice_energy_simulation
|
2026-01-29T00:32:15.397468+00:00
|
{
"name": "Baseline Energy Analysis",
"building_type": "Office Complex",
"location": "Tallinn, Estonia",
"floor_area_m2": 2170,
"simulation_period": "2024-01-01 to 2024-12-31"
}
|
{
"total_kwh": 165643,
"heating_kwh": 54077,
"cooling_kwh": 22076,
"lighting_kwh": 31321,
"equipment_kwh": 40270
}
|
[
{
"month": "Jan",
"heating_kwh": 16500,
"cooling_kwh": 0,
"total_kwh": 30550
},
{
"month": "Feb",
"heating_kwh": 14200,
"cooling_kwh": 0,
"total_kwh": 27100
},
{
"month": "Mar",
"heating_kwh": 11800,
"cooling_kwh": 200,
"total_kwh": 23800
},
{
"month": "Apr",
"heating_kwh": 8200,
"cooling_kwh": 800,
"total_kwh": 19300
},
{
"month": "May",
"heating_kwh": 4500,
"cooling_kwh": 1800,
"total_kwh": 15250
},
{
"month": "Jun",
"heating_kwh": 2100,
"cooling_kwh": 3200,
"total_kwh": 13750
},
{
"month": "Jul",
"heating_kwh": 1200,
"cooling_kwh": 4100,
"total_kwh": 13750
},
{
"month": "Aug",
"heating_kwh": 1800,
"cooling_kwh": 3600,
"total_kwh": 13900
},
{
"month": "Sep",
"heating_kwh": 5200,
"cooling_kwh": 2300,
"total_kwh": 17050
},
{
"month": "Oct",
"heating_kwh": 9400,
"cooling_kwh": 1200,
"total_kwh": 21700
},
{
"month": "Nov",
"heating_kwh": 13100,
"cooling_kwh": 300,
"total_kwh": 25900
},
{
"month": "Dec",
"heating_kwh": 14000,
"cooling_kwh": 0,
"total_kwh": 26800
}
] |
{
"energy_intensity_kwh_m2": 76.3,
"heating_intensity_kwh_m2": 24.9,
"cooling_intensity_kwh_m2": 10.2,
"annual_co2_tons": 37.9,
"co2_intensity_kg_m2": 17.5,
"peak_demand_kw": 156.8,
"comfort_hours_percent": 94.2
}
|
IDA-ICE Energy Simulation Dataset
⚠️ Synthetic Data Disclaimer: This dataset contains synthetically generated data for demonstration and testing purposes. It does not represent real IDA-ICE simulation outputs or actual building energy consumption.
Overview
Annual energy simulation results in the style of IDA-ICE (Indoor Climate and Energy) software. Includes monthly breakdowns for heating, cooling, lighting, and equipment energy consumption.
Schema
{
"pipeline": "ida_ice_energy_simulation",
"generated_at": "ISO 8601 timestamp",
"scenario": {
"name": "Baseline Energy Analysis",
"building_type": "Office Complex",
"location": "Tallinn, Estonia",
"floor_area_m2": 2170,
"simulation_period": "2024-01-01 to 2024-12-31"
},
"annual": {
"total_kwh": 185000,
"heating_kwh": 92000,
"cooling_kwh": 18500,
"lighting_kwh": 32400,
"equipment_kwh": 42100
},
"monthly_breakdown": [
{
"month": "Jan",
"heating_kwh": 16500,
"cooling_kwh": 0,
"total_kwh": 22300
}
],
"kpis": {
"energy_intensity_kwh_m2": 85.3,
"co2_emissions_kg": 42500,
"peak_demand_kw": 95.2,
"heating_degree_days": 4250
}
}
Energy Categories
| Category | Description |
|---|---|
| Heating | Space heating energy (district heating, heat pumps, etc.) |
| Cooling | Space cooling energy (chillers, AC units) |
| Lighting | Interior and exterior lighting |
| Equipment | Plug loads, office equipment, elevators |
Use Cases
- Energy simulation visualization
- Building performance benchmarking
- Energy intensity comparisons
- Climate zone analysis
Update Schedule
This dataset is automatically updated daily at 00:00 UTC via GitHub Actions.
Source
Generated by the IDA-ICE-Energy-Simulation-ETL-Pipeline project.
License
MIT License
- Downloads last month
- 167