Biomass has been demonstrated as a capable source of energy to fulfill the increasing demand for clean energy sources which could last a long time. Replacing fossil fuels with biomass-based ones can potentially lead to a reduction of carbon emissions, which is the main target of the EU climate strategy. Based on RED II (revised Renewable Energy Directive 2018/2001/EU) and the European Green Deal, biomass is a promising energy source for achieving carbon neutrality in the future. However, the sustainable potential of biomass resources in the forthcoming decades is still a matter of question. This review aims at estimating the availability of biomass for energy reasons in the EU, and to evaluate its potential to meet the coal power plant capacity of the main lignite-producer countries, including Germany, Poland and Greece. Plants in line with the sustainability criteria of RED II have been selected for the preliminary estimations concerning their full conversion to the biomass power concept. Furthermore, the various barriers to biomass utilization are highlighted, such as the stranded asset risk of a future coal phase-out scenario, biomass supply chain challenges, biomass availability in main lignite-producer EU countries, the existing full conversion technologies, and biomass cost. A variety of challenges in the scenario of lignite substitution with biomass in a plant are investigated in a SWOT (strengths, weaknesses, opportunities, and threats) analysis. Technological risks and issues should be tackled in order to achieve the coal phase-out EU goal, mainly with regard to the supply chain of biomass. In this direction, the development of logistics centers for the centralized handling of biomass is strongly recommended.

Renewables are key pillars of the European Union’s (EU) strategy for green transition and climate neutrality. In particular, wind energy lies at the core of a sustainable framework regarding the energy policy (i.e., European Green Deal and REPowerEU plan) supporting clean, secure, and affordable electricity for a resilient future. In this study, Global Climate Models (GCMs) simulations were used to investigate the efficiency of GCMs to capture and reproduce the spatial and temporal features of Wind Energy Potential (WEP). The GCMs that have been used in this study are available in the context of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The analysis focuses on high-interest regions of the Eastern Mediterranean (EMed) during the summer season (JJA). The ERA5 reanalysis dataset was used as a reference data set. Furthermore, projected changes in WEP were calculated under two Shared Socioeconomic Pathways (the “moderate”, SSP2-4.5 and the “fossil-fueled development”, SSP5-8.5 scenarios), covering the period from 1970 to 2099. The results indicate that most GCMs underestimate mean WEP, with model performance ranging from “poor” to “good” scores based on the Kling–Gupta Efficiency index (−0.45 < KGE < 0.5). Future WEP projections show no consistent spatial patterns among GCMs. By the late 21st century, WEP is projected to decrease (about 10–15%) over the Southeastern Aegean and increase between Crete and Libya (about 10–15%) relative to the baseline historical period (1970–2000) under both SSP scenarios. Finally, findings provide elements for the WEP evolution over the Eastern Mediterranean, contributing to the EU energy policy.

Air quality assessment and waste management are key priorities within the Sustainable Development Goals. This study proposes an integrated approach to optimizing waste management and assessing air quality on Chalki Island, located in the Southeastern Aegean region. For analysis, measurements of a mobile air quality system located in the port area were employed to investigate the variability in pollutant concentrations and discomfort conditions. In addition, the ERA5 reanalysis dataset was used to study the impact of climate parameters on air quality. This case study covers the period from February to June 2025. In the context of waste management, a multi-criteria-driven analytical framework was developed to determine the optimal number and configuration of source separation bin arrays tailored to different waste streams at the municipal level. The findings show that anthropogenic activities (i.e., traffic and tourist density) and meteorological parameters significantly affect air pollution. The simultaneous degradation in air quality and discomfort conditions during the high tourist (warm) season increases health risk. In parallel, the deployment of five- and eight-bin source separation arrays was identified as optimal for the off-season and peak tourism season, respectively. This research contributes to a deeper understanding of air pollution variability while additionally guiding sustainable waste management for vulnerable island ecosystems.