top of page


You will find on this page the general information relating to the constitution of the model for the analyzes carried out on Bat-ADAPT:  


Specific information regarding models for each climate hazards is available on the associated pages:  


Given the different regulatory requirements, especially those of the EU Taxonomy the climate exposure analysis model must meet different criteria.

Criterion 1 : The climate exposure analysis should be based on the highest resolution 'state-of-the-art' climate projections available.


Criterion 2 : The risk assessment should be prospective and consistent with the duration of the activity, i.e. a minimum of 50 years for buildings.

Criterion 3 :  The scenarios used must be multiple and consistent with the work of the IPCC, based on open-source or fee-based models.

The analysis model will therefore be processed from sources allowing the presence of prospective data, in relation to 3 IPCC scenarios: 

  • The ambitious scenario, with a climate policy aiming at decreasing CO2 concentrations, these are the RCP2.6 or SSP1-2.6 scenarios,

  • The intermediate scenario, with a climate policy aiming at stabilizing CO2 concentrations, these are the RCP 4.5 or SSP2-4.5 scenarios,

  • The Business-as-Usual scenario, without climate policy, these are the RCP 8.5 or SSP5-8.5 scenarios.

The choice of these scenarios responds to a desire for exhaustiveness of the trajectories taken into account as well as a desire to harmonise the information available to process the various climate indicators.

Different time horizons will also be taken into account, given the needs for estimating the evolution of climatic hazards. There are 5 time horizons included in the analysis for the France model: 2020, 2030, 2050, 2070 and 2090 and 3 time horizons for the Europe model: Short (2030), Medium (2050) or Long term (2090).

The two major data sources are the Interactive atlas of the IPCC et the DRIAS Les futurs du climat platform. Each data source and data processing will be detailed below.



The selection of climatic hazards that will be taken into account in the tool falls under the Taxonomy, the TCFD and the Energy Climate Law. Of the hazards proposed in the European Taxonomy hazard classification table, the hazards identified as relevant to the real estate sector are:

  • Heats (Thermal stress, heat waves, etc.);

  • Droughts & Shrinkage Swelling of Clays;

  • Rainfall and flooding (Changes in precipitation patterns and types, heavy precipitation, rainfall flooding, rising groundwater, etc.); 

  • Coastal dynamics (Coastal erosion, seawater infiltration, sea level rise);

  • Storms and strong winds (Changing wind patterns, cyclones, hurricanes, typhoons, storms, tornadoes, etc.);

  • Forest fires:

  • Extreme colds;

  • Ground movements (Avalanches, landslides, subsidence);

The exposure reliability index is assigned as follows:

5/5 Models used in the IPCC report empirically verified

4/5 Models used in the IPCC report

3/5 Other models - Very reliable

2/5 Other models - Moderately reliable

1/5 Other models - Unreliable

In order to determine the vulnerability of buildings to different hazards, a certain amount of information is necessary. In order to collect them, a form is available to complete the characteristics of your project.

If no information is passed, the vulnerability defaults to 100%, with zero reliability. 

In order to help complete the technical characteristics of the buildings, the OID has created a “filling tutorial”, available here , which details the set of technical characteristics that can be filled in for each of the buildings on R4RE. Accompanying this detail, explanations on each of the criteria are available, as well as examples (in photos, in figures, etc.) and filling advice.

The vulnerability reliability index is calculated from the number of questions answered compared to the total number of questions. It varies from 0 to 5.


Once the climatic exposure and the building's vulnerability have been calculated, the information is cross-checked as follows:


The different levels of risk (from very low to very high) are determined by crossing the risk levels of exposure and vulnerability. Thanks to the value obtained between 0 and 100%, a level of risk (among 5 classes) for the result of the cross-analysis can be given.

Calcul d'analyse croisée.jpg

In order to narrow the number of questions and data to be filled in to assess the sensitivity of the building, default profiles are used in R4RE. These typical building profiles are based on the work of the Profeel programme for residential and small tertiary units. The profiles of other tertiary buildings were established through interviews with building experts.

The range of standard profiles available in R4RE contains 68 building profiles in total. They are categorized as follows:

  • Large tertiary buildings

o   High-rise offices (7 profiles)

o   Haussmann offices (6 profiles)

o   Non-IGH offices (7 profiles)

o   Logistics buildings (2 profiles)

o   Health buildings (7 profiles)

  • Residential buildings

o   Collective housing (19 profiles)

o   Detached house (12 profiles)

  • Small tertiary buildings

o   Offices (1 profile)

o   Health (1 profile)

o   Shops (3 profiles)

o   Restoration (1 profile)


After assigning the building to a default profile (on the basis of around ten questions to be completed), all of the technical criteria available in the sensitivity assessment are automatically completed. This makes it possible to have the most complete profile possible in view of the major types of building found in the built stock. 

The profile document, available in French or English version , summarizes the questions and answers allowing the determination of profiles, and the answers assigned by default, according to the profile.

Aléas climatiques
Fiabilité exposition
Modèle vulnérabilité
Tutoriel remplissage
Fiabilité vulnérabilité
Modèle analyse croisée
Climate hazard
Expo reliability indices
Vulne model
tutorial building data
vulne reliabilty indices
Building profiles
Profils bâtiments
bottom of page