The work presented here is part of the results of the thesis “Análisis de datos espaciales para la erradicación de la pobreza energética en la rehabilitación urbana: el caso de Madrid” (Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid) (Martín-Consuegra Ávila, 2019). It proposes the conceptual development of a Spatial Data Analysis Model that can collect large amounts of information about the energy efficiency of the residential building stock. The model contains information from different databases at various scales, in order to assess the refurbishment needs of entire neighbourhoods. It gives the possibility of planning rehabilitation strategies based on energy needs reduction, taking into account the different environmental, social and economic aspects involved in the process. Two complementary tools are proposed for the data processing of the main existing bases in Spain: the cadastre and the census. These tools generate energy indicators that are used to characterize the thermal performance of buildings, neighbourhoods and cities. https://oa.upm.es/62611/

[Methodology applied] The dataset is based on the methodology of using of cadastral data to assess urban scale building energy loss. Energy loss is an optimal parameter for assessing the thermal quality of the building and has a direct impact on the heating energy demand; it is a key passive indicator for the identification of improvement needs in order to reduce their energy vulnerability and to propose effective long-term solutions. The estimation of heating demand (ISO 13790 2008) from the cadastral data allows the information to be aggregated and cross-checked at the census scale and for the neighbourhood level.

[Legal aspects, access and security policies] Free access for research purposes.

[File formats, file structure and file nomenclature] See document below.

[Indicators] See document below.

Peer reviewed