A dynamic building stock model is applied to simulate the development of dwelling stocks in 11 European countries, over half of all European dwellings, between 1900 and 2050. The model uses time series of population and number of persons per dwelling, as well as demolition and renovation probability functions that have been derived for each country. The model performs well at simulating the long-term changes in dwelling stock composition and expected annual renovation activities. Despite differences in data collection and reporting, the modelled future trends for construction, demolition and renovation activities lead to similar patterns emerging in all countries. The model estimates future renovation activity due to the stock’s need for maintenance as a result of ageing. The simulations show only minor future increases in the renovation rates across all 11 countries to between 0.6–1.6%, falling short of the 2.5–3.0% renovation rates that are assumed in many decarbonisation scenarios. Despite this, 78% of all dwellings could benefit from energy efficiency measures by 2050, either as they are constructed (31%) or undergo deep renovation (47%). However, as no more than one deep renovation cycle is likely on this timeframe, it is crucial to install the most energy efficient measures available at these opportunities

Nearly Zero-Energy Buildings (nZEBs) have received increased attention in recent years as a result of constant concerns for energy supply constraints, decreasing energy resources, increasing energy costs and rising impact of greenhouse gases on world climate. The EPBD recast directive [1] requests all new buildings to meet higher levels of performance than before, by exploring more the alternative energy supply systems available locally on a cost-efficiency basis and without prejudicing the occupants' comfort. To this end, after 2020, all new buildings should become "nearly zero-energy" and after 31 December 2018, the same requirement is applied for new buildings occupied and owned by public authorities. Furthermore, the EPBD recast states that MS must ensure that minimum energy performance requirements for buildings are set with a view to achieving cost-optimal levels according to the Commission Delegated Regulation (EU) No 244/2012 of 16 January 2012. In this context, the authors of this paper, who are participants in the recent started European project RePublic-ZEB, are willing to share the initial findings from ongoing research work. Public buildings constitute a specific class of buildings that require a complex analysis from the statistic point of view taking into consideration the definition and typologies and other specific parameters related with. Thus, this paper will focus on the analysis of public building stocks in the countries covered by the project consortium with the view to define relevant parameters characterizing the reference public buildings that will be considered in the further analysis regarding the assessment of cost-effective packages of solutions towards nZEB levels of performance. A review of nZEB holistic approach, definitions and existing implemented policies in the participant countries, will be presented as well. © 2015 The Authors.Peer ReviewedPostprint (published version

The prioritization of energy renovations is critical to achieving sustainability goals and addressing socio-economic disparities in building stock. This study proposes a novel hybrid MultiCriteria Decision-Making framework for identifying and prioritizing residential buildings for energy efficiency upgrades. By integrating granular building-level data, such as energy performance and construction year, with socio-economic indicators like energy poverty and municipal income, the framework provides a comprehensive and equitable approach. Using Python for data integration and analysis, the methodology applies weighted factors to calculate the Building Priority Factor and the Municipal Energy Poverty Factor. A prioritization analysis for Slovenia demonstrates significant regional disparities in energy savings potential and renovation priorities, with some regions emerging as high-priority targets due to their aging infrastructure and elevated energy poverty levels. Conversely, densely populated urban regions with larger cities show lower prioritization needs. The proposed framework addresses limitations in existing methods by incorporating socio-economic and spatial data, enabling a dynamic and scalable approach to financial incentives. This approach aligns with the Energy Performance of Buildings Directive, providing actionable insights for national renovation plans. The findings highlight the importance of targeted, regionally tailored interventions to maximize energy savings, reduce inequities, and support sustainable development goals.