Data Dictionary
This page documents the input data used by Res-IRF4. All data files are located under project/input/.
Building stock (stock/)
The building stock is based on SDES (Service des Donnees et Etudes Statistiques) 2018 data.
Each dwelling is characterized by:
Dimension |
Categories |
Description |
|---|---|---|
Energy performance |
A–G (existing), LE, NZ (new) |
EPC label (Diagnostic de Performance Energetique) |
Housing type |
Single-family, Multi-family |
Building typology |
Occupancy status |
Owner-occupied, Rented, Social housing |
Decision-maker type |
Heating system |
Electricity, Natural gas, Fuel oil, Fuel wood, Heat pump, etc. |
Main heating fuel/technology |
Income class |
Deciles (D1–D10) or Quintiles (Q1–Q5) |
Household disposable income category |
The model contains up to 1,080 dwelling types from the combination of these dimensions.
Energy data (energy/)
File |
Description |
Unit |
|---|---|---|
Energy price trajectories |
Fuel-specific price scenarios |
EUR/kWh |
Carbon emissions |
Emission factors by fuel |
gCO2/kWh |
Renewable gas |
Renewable gas penetration scenarios |
Share (%) |
Investment data (investment/)
Category |
Description |
|---|---|
Market shares |
Initial distribution of heating systems and insulation choices |
Discount rates |
Income-differentiated discount rates for private housing; 4% for social housing |
Renovation costs |
Cost matrix linking initial to final EPC label (EUR/m2) |
Construction costs |
Costs for new buildings at LE and NZ levels (EUR/m2) |
Technical parameters (technical/)
Category |
Description |
|---|---|
Heating system efficiency |
Efficiency by technology and vintage |
Insulation costs |
Component-level insulation costs (wall, floor, roof, windows) |
Lifetimes |
Expected lifetimes for heating systems and insulation measures |
Learning rates |
Cost reduction rates for renovation (10%) and construction (15%) technologies |
Macroeconomic data (macro/)
Variable |
Source |
Description |
|---|---|---|
Population |
INSEE projections |
Annual population growth (~0.3%/year) |
Household income |
INSEE, extrapolated at 1.2%/year |
Disposable income by quintile/decile |
Construction needs |
Derived from population and income |
Annual new dwelling construction |
Climate data (climatic/)
Heating degree days (HDD) and temperature profiles used to compute conventional energy consumption.
Policy definitions (policies/)
Policy instruments are defined in JSON files. Each policy specifies:
Parameter |
Description |
|---|---|
|
Policy activation period |
|
Subsidy rate, tax rate, or regulatory threshold |
|
Eligibility conditions (income, EPC label, housing type) |
Supported policy instruments include:
MaPrimeRenov (MPR): Income-targeted renovation subsidies (multiple variants)
CEE (Certificats d’Economies d’Energie): White certificate obligations
CITE: Tax credit for energy transition
Carbon tax: Applied to natural gas and heating oil
Zero-interest loans (ZIL): Targeted at deep renovations
Reduced VAT: 5.5% rate on renovation works
Building code: Minimum performance standards for new construction
Energy restrictions: Bans on specific heating systems or EPC labels
Static scenario parameters (resources_dir/)
The file scenario_static.json defines assessment parameters including:
Social and private discount rates
Policy measure definitions (deep insulation, global renovation)
Cost-benefit parameters (carbon value, health impacts)
Calibration data
The model is calibrated to reproduce:
Total energy consumption by fuel (source: CEREN)
Renovation rates by housing type (source: OPEN 2016, USH 2017)
Market shares of energy efficiency upgrades (source: PUCA 2015)
See Input Res-IRF version 3.0 for detailed calibration data documentation.