Bottom-up method to derive cost curves for space heating savings in residential buildings for all European countries

Space heating constitutes approximately a quarter of final energy consumption in the European Union. Aligned with the ambition of the European Green Deal for climate-neutrality by 2050, effective energy system modelling is crucial for shaping strategies. However, integrating energy efficiency within the building sector remains challenging due to limited methodologies and data on specific energy consumption, heated surfaces, and retrofit costs. This paper proposes a methodology that balances accuracy and implementation effort through clustering analysis and relies entirely on open data primarily from the Hotmaps project to compute country-specific cost curves for energy savings in building space heating for each of the EU-27 countries. The aim is to empower energy system modelers to better incorporate energy efficiency measures into scenarios, thus advancing strategies in line with the European Green Deal. Findings indicate that the retrofits considered – insulation of façade, roof, ground floor; windows replacement – can save 40–60 % of space heating energy demand in most countries but marginal costs range widely, from 2 to 180 Eurocents invested per kWh saved over the retrofit lifetime. Climate conditions and existing insulation levels significantly influence the cost-effectiveness of these retrofits. This research provides valuable insights for policymakers and stakeholders working towards climate-neutral objectives. • Bottom-up method derives heat savings cost curves for EU-27 building stock. • Clustering and dynamic building simulations used for cost curve generation. • Open data sources leveraged, enabling reproducibility and scalability. • Facade and roof insulation show high savings at low marginal costs. • Climate conditions and existing insulation levels impact cost-effectiveness.

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Publication Details

Journal
Journal of Building Engineering
Published
2024-11-13
DOI
https://doi.org/10.1016/j.jobe.2024.111303
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.53

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article

Bottom-up method to derive cost curves for space heating savings in residential buildings for all European countries

Roberto Lollini, Wolfram Sparber, Simon Pezzutto, Ulrich Filippi Oberegger et al.
2 citations
Journal of Building Engineering
Building Energy and Comfort Optimization
0.53
article

Bottom-up method to derive cost curves for space heating savings in residential buildings for all European countries

Roberto Lollini, Wolfram Sparber, Simon Pezzutto, Ulrich Filippi Oberegger, Matteo Giacomo Prina, Marcus Hummel, Lukas Kranzl
article en
2 citations

Abstract

Space heating constitutes approximately a quarter of final energy consumption in the European Union. Aligned with the ambition of the European Green Deal for climate-neutrality by 2050, effective energy system modelling is crucial for shaping strategies. However, integrating energy efficiency within the building sector remains challenging due to limited methodologies and data on specific energy consumption, heated surfaces, and retrofit costs. This paper proposes a methodology that balances accuracy and implementation effort through clustering analysis and relies entirely on open data primarily from the Hotmaps project to compute country-specific cost curves for energy savings in building space heating for each of the EU-27 countries. The aim is to empower energy system modelers to better incorporate energy efficiency measures into scenarios, thus advancing strategies in line with the European Green Deal. Findings indicate that the retrofits considered – insulation of façade, roof, ground floor; windows replacement – can save 40–60 % of space heating energy demand in most countries but marginal costs range widely, from 2 to 180 Eurocents invested per kWh saved over the retrofit lifetime. Climate conditions and existing insulation levels significantly influence the cost-effectiveness of these retrofits. This research provides valuable insights for policymakers and stakeholders working towards climate-neutral objectives. • Bottom-up method derives heat savings cost curves for EU-27 building stock. • Clustering and dynamic building simulations used for cost curve generation. • Open data sources leveraged, enabling reproducibility and scalability. • Facade and roof insulation show high savings at low marginal costs. • Climate conditions and existing insulation levels impact cost-effectiveness.

Journal of Building EngineeringVol. 98
Eurac Research (IT), TU Wien (AT), Austrian Energy Agency (AT)
European Commission, Provincia autonoma di Bolzano - Alto Adige, Horizon 2020
Sustainable cities and communities
Openalex Percentile: Top 33%
Building Energy and Comfort Optimization
0.53
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