Long-term renovation strategy in the Basque Country’s building stock


Authorship:Escola d’Arquitectura del Vallès. Universitat Politècnica de Catalunya, Cíclica [space·community·ecology]

Members of Cíclica: Joaquim Arcas-Abella(coordinator), Ander Bilbao Figuero, Paul Charbonneau Cayuela, Teresa Monzó Fita, Ariadna Conesa Buscallà, Adriana Castrillo Alvera, Laia Mojica Gasol, Albert Calabria Ferrer

Partner:Research group CAVIAR de la UPV/EHU

Promotor: Directorate of Territorial Planning, Urbanism and Urban Regeneration, Department of the Environment, Territorial Planning and Housing of the Basque Government

Project year: 2019


The project emerges from the firm will of the Basque Government to draw up an innovative action plan which, for the first time on a regional scale, will be based on a building-by-building diagnosis; allowing for a significant advance in the methodology so far employed for large-scale strategies.


The main objective is to establish a system of guidelines that will make it possible to prioritise the intervention on energy renovation of the residential stock in the Basque Country, based on a set of criteria previously agreed with the Basque Government’s Directorate of Territorial Planning, Urban Planning and Urban Regeneration.


The methodology used allows for the joint processing and analysis of different sources of information in order to establish a complete diagnosis of the 1.128.105 houses that make up the residential stock. This first phase, based on an in-depth knowledge of each property, is materialised in a battery of sectorial indicators of an architectural, energy and economic nature, which allow the particularities, needs and potential for renovation of the built environment to be detected. This rigorous, large-scale diagnosis serves as a basis for defining and substantiating, together with the agreed intervention criteria, the guidelines for intervention through the most relevant prioritisation indexes at a strategic level.


The results of the study, in database and report format, are grouped into 3 levels according to their level of complexity and relevance:

  1. Diagnostic indicators of the housing stock:
    • 3 architectural indicators,
    • 13 energy indicators,
    • 9 economic indicators.
  2. System of indexes and intervention criteria per dwelling:
    • 2 building performance indexes,
    • 2 housing performance indexes,
    • 2 renovation intervention indexes,
    • 3 intervention criteria.
  3. System of prioritization of interventions by census section:
    • ¿ Which census sections are worst off?
    • ¿ Which census sections have the greatest capacity for improvement?
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