Analysis of indicators and datasets for energy poverty assessment: The case of private multifamily buildings. Deliverable 3.1 LOCATEE project

This report aims to provide valuable insights for the municipalities of Piraeus (Greece), Rumia (Poland), and Torres Vedras (Portugal) to address energy poverty in private multi-apartment buildings within their territories, within the context of the LOCATEE project. It reviews 68 energy poverty assessment approaches published in recent scientific literature and selected grey literature from EU projects and initiatives on energy poverty to identify the datasets, indicators, and practices that can be leveraged to build a comprehensive and robust energy poverty assessment, combining administrative data at national and municipal levels. National statistics are the most used data source, and energy poverty is most frequently depicted as a problem of space heating over expenditure. Direct measurements estimating energy poverty levels and headcounts require income, expenditure and consensual indicators that are not easily available, requiring dedicated data collection at the household level. Building indicators are mostly used as indirect indicators of energy poverty, integrated in composite vulnerability analysis, as predictors of deprivation or as intermediate indicators for estimating energy expenditures. Unconventional indicators include health status, energy disconnections, other basic expenses (e.g. water, transport), energy literacy, building renovations, indoor air quality, outdoor space, and occurrence of extreme weather events.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.18084811
Primary Topic
Energy and Environment Impacts
Type
article
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article

Analysis of indicators and datasets for energy poverty assessment: The case of private multifamily buildings. Deliverable 3.1 LOCATEE project

Joanna Mazurkiewicz, J. J. Gouveia, Dimitris Papantonis, Jan Frankowski et al.
Zenodo (CERN European Organization for Nuclear Research)
Energy and Environment Impacts
article

Analysis of indicators and datasets for energy poverty assessment: The case of private multifamily buildings. Deliverable 3.1 LOCATEE project

Joanna Mazurkiewicz, J. J. Gouveia, Dimitris Papantonis, Jan Frankowski, Marco Peretto, Pedro Palma, Aleksandra Prusak, Nikos Manias, Laura Palencikova, Samuele Livraghi
article en

Abstract

This report aims to provide valuable insights for the municipalities of Piraeus (Greece), Rumia (Poland), and Torres Vedras (Portugal) to address energy poverty in private multi-apartment buildings within their territories, within the context of the LOCATEE project. It reviews 68 energy poverty assessment approaches published in recent scientific literature and selected grey literature from EU projects and initiatives on energy poverty to identify the datasets, indicators, and practices that can be leveraged to build a comprehensive and robust energy poverty assessment, combining administrative data at national and municipal levels. National statistics are the most used data source, and energy poverty is most frequently depicted as a problem of space heating over expenditure. Direct measurements estimating energy poverty levels and headcounts require income, expenditure and consensual indicators that are not easily available, requiring dedicated data collection at the household level. Building indicators are mostly used as indirect indicators of energy poverty, integrated in composite vulnerability analysis, as predictors of deprivation or as intermediate indicators for estimating energy expenditures. Unconventional indicators include health status, energy disconnections, other basic expenses (e.g. water, transport), energy literacy, building renovations, indoor air quality, outdoor space, and occurrence of extreme weather events.

Zenodo (CERN European Organization for Nuclear Research)
University of Piraeus (GR), Utrecht University (NL), Institute for European Energy and Climate Policy (NL), Institute for Structural Research (PL), Universidade Nova de Lisboa (PT)
No poverty
Openalex Percentile: Top 49%
Energy and Environment Impacts
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