Search Results (377)

The EU EFACA project considers two conceptual aircraft design configurations for cleaning European air traffic in future decades. Recently, several different technologies have led to propulsion designs with potential to reduce greenhouse gas emissions and replace existing conventional engine technologies—such as the use of fossil fuel—for aviation. The results of an assessment of the environmental impacts of new technologies are considered using a multidimensional approach, ranging from aircraft certification requirements (noise, local and global engine emission, and aircraft fuel efficiency) to regional/global assessments of new designs in air traffic. Each technology for factor reduction is simulated and compared to a reference, usually the aircraft currently best in its class, providing the possibility of assessing the efficiency of the technology, both for necessary certification requirements and for the forecasted operational conditions due to ICAO long-term aspirational goals and ACARE Fly Green Deal goals. Full article

Reducing building energy consumption is central to EU climate-neutrality targets and to sustainable development goals: buildings account for around 40% of EU final energy consumption, placing Building Energy Management Systems (BEMS) at the intersection of the European Green Deal and the EU Artificial Intelligence Act. A scoping review following PRISMA-ScR guidelines charted 61 Machine Learning (ML) for BEMS papers (2020–2026) across three sub-domains (load forecasting and energy monitoring, HVAC control, and demand response), using a nine-point Technology Readiness Level (TRL) rubric and three Trustworthy AI (TAI) dimensions (Privacy & Data Governance, Robustness, and Transparency). The review finds that 90.2% of papers remain at the development stage (TRL 4–6), with no multi-site production deployment documented. TAI coverage is heterogeneous at publication level: transparency is addressed in only 3 of 61 papers (4.9%), and privacy provisions (the best-covered ALTAI dimension) are concentrated in demand-response papers (9 of 17, 52.9%), largely via Federated Learning (6 of 9 privacy-tagged papers). A three-level EU AI Act risk classification identifies 23 borderline-candidacy papers (37.7%), predominantly Reinforcement Learning-based HVAC control systems, whose high-risk proximity cannot be resolved at abstract level; explicit compliance engagement is absent from all 61 mapped sources, including the 22 papers published after the Act entered into force in August 2024. The findings document adouble readiness gap: a TRL ceiling co-located with limited documented engagement with TAI obligations and EU AI Act compliance at publication level. Closing this gap is necessary before AI-driven building energy management can be deployed at scale under EU governance requirements. Full article

Although the European Union positions the bioeconomy at the core of its sustainability transition and the European Green Deal, the cross-country distribution of bioeconomy value-added associated with mission-oriented public R&D support remains highly uneven. This paper investigates how national researcher capacity (as a proxy of absorptive capacity) shapes the macroeconomic effectiveness of bioeconomy-oriented public R&D support, and how societal climate-oriented environmental concern acts as a direct structural driver of bioeconomy value-added. Using a panel dataset of 27 EU Member States from 2008 to 2020, the study constructs an original bioeconomy-specific measure of government budget appropriations for R&D (GBARD) and estimates two-way fixed-effects models with Driscoll–Kraay standard errors to account for cross-sectional dependence. The findings reveal a clear capacity-dependent conditional moderation effect: public R&D support is significantly associated with higher bioeconomy value-added only when a critical mass of researcher capacity is present. Sectoral disaggregation demonstrates that business enterprise researcher capacity acts as the primary transmission channel linking public funds to the market, whereas higher-education capacity shows no statistically significant short-to-medium-term moderating effect, consistent with the academic research commercialisation time lags documented in the literature. Additionally, societal climate-oriented environmental concern is positively associated with bioeconomy value-added in the baseline models, consistent with its role as a demand-side factor fostering receptive conditions for bio-based transitions. The study concludes that increasing mission-oriented R&D funding alone is likely insufficient; to successfully cross the “valley of death,” public R&D should be accompanied by complementary policies that build private-sector absorptive capacity and cultivate green market demand. Full article

The European Union (EU) and national governments have set clear targets to reduce agricultural emissions, including ammonia from manure spreading practice, with regulations such as the Ambient Air Quality (AQ) and Clean Air Directives, the Common Agricultural Policy (CAP), and the Green Deal, with implication for ecosystem services and landscape planning, reflecting broader environmental sustainability objectives including those addressed by the Sustainable Development Goals (SDGs). Informative Inventory Reports (IIRs) are critical tools within the EMEP/EEA framework for monitoring long-range transboundary air pollution. They utilize three distinct methodological tiers (Tiers 1, 2, and 3) to estimate emission data across Europe. Despite the availability of Earth Observation (EO) data and products from the Copernicus Programme current estimation methods still rarely integrate EO information to produce spatially explicit estimates. This paper reviews current methodologies for estimating ammonia in IIRs and in scientific literature, including advanced methods not yet implemented in official inventories but potentially capable of supporting more spatially explicit and process-oriented estimation. A Medium Effort Methodology (MEM) is identified among those reviewed as a representative methodological pathway for integrating EO information with Tier 3 approaches. Building on this, the paper explores the association between specific EO data and Copernicus products, and input variables required by MEM, identifying opportunities and barriers for environmental monitoring with potential relevance to sustainable agriculture. Full article

As declared in the European Green Deal, the decarbonization of the EU energy system is essential for achieving Europe’s climate neutrality targets, demanding a substantial expansion of renewable energy sources and the rapid phase-out of coal and gas. It is therefore essential that newly installed PV products within the EU are designed to avoid creating additional environmental burdens due to environmental impacts during production and at the end of life (EOL) of photovoltaic (PV) modules. This study presents a life cycle assessment (LCA) of sustainable/green PV module designs in terms of recyclability using advanced high-quality recycling technologies. It compares two product systems both based on mono c-Si PV technology and the glass–glass (G–G) module design: 1. Passivated Emitter and Rear Contact (PERC) and 2. Tunnel Oxide Passivated Contact (TOPCon) cell technologies, which are assessed under production scenarios in China and Germany, and two recycling scenarios (hypothetical high-recovery recycling and partial recycling) using inventory data from eco-invent and literature sources. The results across most impact categories show that the PERC and TOPCon module designs produced in Germany with high-recovery recycling as the end-of-life strategy exhibit lower impacts than those produced in China with partial recycling as the end-of-life strategy under the adopted assumptions such as electricity mix and end-of-life modelling choices for module-only impacts (excluding BOS components). The climate change results show that TOPCon cell design under high-recovery recycling yields 10.4% lower emissions than the PERC cell design under partial recycling in Germany and 9.7% lower in China. However, both module designs emit 26.6% and 27.2% less GHG emissions when produced in Germany compared to production in China, respectively, which is line with earlier studies. With the exception of human toxicity, both PERC and TOPCon cell technologies perform better in this study than previously reported in reviewed LCA studies, reflecting the use of more recent state-of-the-art industry data concerning manufacturing requirements. The sensitivity analysis carried out on the design changes and electricity grid mix available shows that any improvements in the design process and increases in renewable energy penetration into the grid corresponds to a proportional reduction in environmental impacts across all impact categories. Full article

The European construction sector accounts for approximately 40% of EU final energy consumption and around 36% of lifecycle CO₂ emissions, creating structural demand for low-carbon alternatives consistent with the European Green Deal and the revised Energy Performance of Buildings Directive. This article presents a structured multi-criteria assessment of seven bio-based construction material categories producible within the EU—wood fibre/cellulose insulation, expanded cork agglomerates (insulation corkboard), mass timber (CLT and Glulam), hemp–lime composites (hempcrete), straw bale systems, mycelium-based composites, and cellulose aerogels—evaluated across twelve sub-criteria organised under three equally weighted pillars: environmental impact, economic opportunity, and social value. The analysis integrates durability maturity as a primary market-access variable, fire performance under Wildland–Urban Interface (WUI) exposure conditions, seismic risk compatibility, and EU regional demand heterogeneity. Composite scores are calculated by summing individual criterion scores, with pillar sub-totals shown explicitly. A sensitivity analysis under three alternative pillar-weighting scenarios, a single-criterion perturbation analysis, a Monte Carlo simulation, and a TOPSIS method comparison collectively test the robustness of rankings. Results indicate that wood fibre/cellulose insulation, expanded cork agglomerates, and hemp–lime composites constitute the highest-impact portfolio under baseline and environmental priority weighting; under economic priority weighting, mass timber displaces hemp–lime in the top 3. Under environmental priority weighting, cork achieves the highest composite score of any material, driven by its perfect environmental pillar sub-score and the regenerative carbon sequestration of the cork oak. All four robustness tests confirm that wood fibre, cork, and hemp–lime occupy the top 3 positions across all weighting scenarios—with cork rising to first and wood fibre dropping to third under environmental priority weighting—and that the additive scoring method produces rankings identical to those generated by the TOPSIS method. Full article

While Low Emission Zone (LEZ) enforcement cameras provide a constant stream of traffic data, such resources remain significantly underexploited for urban mobility planning, as their current application is restricted to enforcing vehicle access regulations and issuing fines. This paper presents MobiCugat, a framework demonstrating that Automatic Number Plate Recognition (ANPR) camera data from a municipal LEZ network can serve as the calibration backbone for high-fidelity, city-scale traffic simulations for a policy-testing Digital Twin. The case study is Sant Cugat del Vallès (Barcelona), where the local council sought to evaluate new scenarios for the area using an evidence-based, data-driven approach. Vehicle detection records from 102 LEZ ANPR cameras were processed into 15-min traffic intensity time series through a General Data Protection Regulation (GDPR)-compliant pipeline. The Realistic Urban Traffic Generator (RUTGe), a Deep Reinforcement Learning-based tool, was used to generate SUMO-compatible traffic demand whose simulated detector counts reproduce the observed camera-based intensities. The resulting simulations reproduced the observed detector-level traffic intensities with ${\mathrm{MARE}}_{\%}$ values between $2.29\%$ and $2.90\%$ across representative morning peak, midday off-peak, and evening peak traffic conditions. Additionally, camera analysis of over $470,000$ vehicle records revealed that resident traffic ($37.4\%$) dominates over through-traffic ($3.8\%$), significantly refining prior survey-based estimates. Our high-fidelity simulation tool based on SUMO, features realistic traffic patterns calibrated through AI-driven techniques, enabling the evaluation of diverse ’what-if’ scenarios—such as road closures, pedestrianization, changes in traffic direction, or relocation of bus stops. By quantifying the impact of these interventions, our tool facilitates informed decision-making prior to physical implementation. The proposed pipeline is cost-effective, privacy-preserving, and directly replicable for any municipality operating an LEZ camera network, offering a scalable template for evidence-based urban mobility planning, aligned with the European Strategy for Data and the EU Green Deal goals for sustainable mobility. Full article

The building sector is a critical component of the European Union’s strategy to achieve climate neutrality, as it accounts for 30–40% of total energy consumption and significant greenhouse gas emissions. While sustainability certification systems like BREEAM, LEED, DGNB, and HQE have established frameworks for environmental assessment, their widespread adoption in the residential sector faces challenges related to complexity and technical barriers. This paper provides a state-of-the-art literature review on streamlining sustainability certification for residential buildings in the EU. It examines the transition from established private schemes to harmonised frameworks such as Level(s), alongside the integration of Building Information Modelling (BIM) and Life Cycle Assessment (LCA). The review identifies key obstacles, including data interoperability issues, the need for automated quantity extraction, and the lack of technical expertise among stakeholders. Findings suggest that streamlining requires advancing semantic data models and digital twins to enable real-time performance monitoring and automated compliance checking. Furthermore, the alignment of national building codes with the Energy Performance of Buildings Directive (EPBD) and the European Green Deal is essential for fostering a more cohesive certification landscape. The study concludes by outlining pathways for reducing the administrative and technical burden of certification to support the EU’s decarbonisation and renovation goals. Full article

Intensive agricultural production contributes significantly to greenhouse gas (GHG) emissions, accounting for between 10 and 12% of global anthropogenic emissions, at a time when the agricultural sector is facing increasing pressure to adapt to ever-stricter environmental regulations. This study develops and applies a multi-objective Goal Programming model to identify the optimal mix of crops and management practices that simultaneously minimize the carbon footprint and maximize productivity, at the level of a 300-hectare (ha) model agricultural system in Romania. The life cycle assessment (LCA) methodology, in accordance with ISO 14040/14044 standards and Ecoinvent 3.8 emission factors, was applied to nine crops distributed across three soil types, within four management scenarios, over an annual planning horizon. The unit of measurement used is a ton of CO₂ equivalent per agricultural system. The results show that the optimized configuration achieves near-zero total carbon emissions (0.33 t CO₂eq for the entire farm), reduces synthetic nitrogen inputs to 35.7% of the limit set by the EU Nitrates Directive, and generates water savings of 48%. However, these environmental gains entail a 52.9% production trade-off relative to the maximum target of 3000 tons, highlighting a Pareto-optimal structural conflict between climate and food security objectives. The sensitivity analysis identifies the nitrogen emission factor and crop yield as the most influential parameters. The results confirm the technical feasibility of the European Green Deal targets through systematic mathematical optimization, while also demonstrating that achieving economic parity requires policy support of 110–165 EUR/ha/year. Full article

State-owned agricultural enterprises face intensifying sustainability pressures, yet conventional Environmental, Social, and Governance (ESG) disclosures often mask site-specific operational risks. This study develops a Measurement–Reporting–Verification (MRV)-oriented sustainability internal audit framework for the General Directorate of Agricultural Enterprises (TIGEM) and pilots it across three enterprises (Ceylanpinar, Gozlu, and Karacabey). Utilizing a design-science approach, the model integrates 88 indicators derived from international frameworks (GRI, B Corp, IRIS+) and EU Green Deal requirements with a qualitative risk taxonomy. The results demonstrate that aggregate sustainability scores can obscure critical “Red Zone” risks. Ceylanpinar’s performance is severely constrained by an energy–water nexus (339.2 GWh irrigation demand vs. 263 mm rainfall), while Karacabey faces significant fossil fuel dependency and animal welfare challenges (9.2% calf mortality). Furthermore, the audit identifies tangible legal exposure in Ceylanpinar through 29 labor-related lawsuits linked to subcontracting. The study concludes that bridging the sustainability implementation gap requires a shift from symbolic disclosure to operationalized internal control. These findings provide a preliminary and context-specific roadmap for internal auditors to enhance institutional resilience against climate exposure and global carbo border adjustments (CBAM) in the agricultural sector. Full article

This paper proposes an adaptive decarbonization model for the Russian non-ferrous metallurgy sector. The model accounts for the specific structure of the national energy balance (with nuclear and hydropower accounting for up to 40%), existing technological constraints, and regulatory risks, including the EU Carbon Border Adjustment Mechanism (CBAM). Based on a comparative analysis of key companies (RUSAL, Norilsk Nickel, and UMMC), an algorithm for the sequential assessment of decarbonization priorities is developed. Its core element is an integrated urgency indicator, which enables the ranking of enterprises according to their sensitivity to carbon-related restrictions. The model aims to minimize potential financial losses arising from external carbon taxation while leveraging the structural competitive advantages of the Russian energy system. The priority in decarbonization in Russia is determined not by the absolute level of technological development or the current carbon intensity of production, but by the degree of exposure to external regulatory and market risks combined with the ability to adapt. It is proven that in the current geopolitical and economic realities, the successful decarbonization of Russian non-ferrous metallurgy is impossible either as exclusively technological modernization or as a passive reaction to external regulatory pressure. The findings indicate that directly adopting international decarbonization strategies developed for the EU and North America (such as the EU Green Deal and CBAM) is ineffective due to fundamental differences in raw material bases, climatic conditions, and logistics. Full article

Globally, the transport sector accounts for almost a quarter of CO₂ emissions from fuel combustion and generates large amounts of pollutants, placing significant pressure on the environment and human health. By 2050, the European Green Deal requires a 90% reduction in transport-related emissions, making sustainability necessary across all modes of transport. Based on the relevant literature, this study examines the role and potential of railways in decarbonising the EU transport sector. Railway is highly efficient, consuming just 1.9% of transport sector energy while handling 16.9% of freight and 5.1% of passenger transport in the EU, yet is responsible for only 0.4% of total emissions. According to studies, greenhouse gas emissions can be reduced by improving energy efficiency, using low-carbon or renewable energy, and expanding train electrification. The greatest potential for decarbonisation lies in a modal shift to rail. However, this requires significant infrastructure investment: raising line speeds to at least 160 km/h, expanding networks, building terminals, digitalisation, and alignment with TEN-T standards. Although the EU supports the modal shift with funding programmes, the transition is not progressing as expected—the share of road freight transport increased from 74% in 2013 to 78% in 2023. Stronger investment is needed in Member States’ national policies for the development and modernisation of railways. The authors developed a Path Evaluation Matrix (PEM), a quantitative decision framework integrating the fields of energy, transport, politics, and economics. The PEM results indicate that BEMU (battery electric multiple units) is optimal for 68% of secondary lines in south-eastern Europe. Full article

The European Green Deal places environmental taxation at the centre of decarbonisation policies. Nevertheless, empirical evidence of its effectiveness as a stimulus for capital eco-investments remains limited, particularly at the sectoral level. The present study analyses this relationship through a country–sector panel of seven EU countries and four NACE Rev.2 sectors for the period 2014–2023. A six-step empirical strategy is employed, comprising: preliminary diagnostic tests (cross-sectional dependence, stationarity, cointegration), descriptive statistics, correlation analysis with relative indicators, fixed-effects panel regressions with control variables, a Granger causality test, and nine robustness checks. All monetary values are in real prices (base year 2015). The results reveal a clear scale effect—the correlation between the absolute values of environmental taxes and eco-investments is very high, but after normalisation by sectoral GVA it becomes practically zero and statistically insignificant. The panel regressions also find no statistically significant relationship, and the Granger test does not confirm causality in either direction. The addition of control variables (eco-expenditures, GVA growth) and sector interaction effects does not alter the result. Nine robustness checks confirm the stability of these findings. Within the sample under consideration, the analysis finds no robust direct relationship between environmental taxes and sectoral eco-investments. The results obtained suggest a need to rethink policy through a more targeted use of revenues, sectoral differentiation, and combining tax instruments with non-fiscal mechanisms for the more effective management of the financial risk of the transition. Full article

The socks, hosiery, bodywear (SHB) industry is a critical segment of the textile sector, characterized by high-volume production and rapid delivery requirements, making efficiency and resource optimization essential. A corporate sustainability system is needed to minimize environmental impact, ensure long-term competitiveness, and align operations with global sustainability standards. Thus, this research aims to propose an integrated Corporate Sustainability System (CSS) framework that synergizes Lean Manufacturing (LM), Digital Transformation (DT), and sustainability transition through a methodological triangulation of (1) a narrative review, (2) in-depth expert interviews, and (3) a comprehensive Turkish case study. The proposed framework integrates foundational lean principles such as 5S, TPM, and Value Stream Mapping with Industry 4.0 technologies, including RFID traceability, real-time ERP integration and machine vision systems. Empirical demonstration through the case study reveals that establishing foundational lean maturity is a critical foundation for successful digital adoption. Furthermore, the study demonstrates that transitioning from manual tracking to integrated digital platforms resolves data silos and enhances the transparency of customer revisions and warehouse accuracy. The framework also incorporates human-centric Lean 5.0 improvements, proving that ergonomic interventions such as rail-mounted cable systems are vital for operational sustainability. Ultimately, the CSS provides a scalable model that aligns SHB production with global mandates like the EU Green Deal and CBAM, positioning the sector for long-term competitive advantage in an increasingly eco-conscious global market. Full article

Ecological connectivity is a key element in biodiversity conservation and the spatial organization of protected areas. In response to environmental disasters, policy frameworks such as the European Biodiversity Strategy 2030, the European Green Deal, the Nature Restoration Law, the European Strategy on Adaptation to Climate Change, and the Urban Agenda for the EU support on-the-ground actions such as ecological restoration and biodiversity conservation to improve best practices. Despite the availability of indicators and discussions for measuring successful activities, real-world assessments have failed to be consistent. This highlights the gap between planning and expected results. Integrating scientific research with the regulatory initiatives, particularly those supported by ISPRA (Italian Institute for Environmental Protection and Research), addresses persistent gaps in Italian planning guidelines (implementing Action 1.3.B of the National Biodiversity Strategy). This study explores the LIFE projects that have been completed in Italy through a mixed-method analysis within the LIFE programme database. This analysis explores specific keywords that have an impact on connectivity and planning actions that contribute to the development of coherent urban landscapes, where habitats and biodiversity can be restored, and the ecological quality improved. The expected outcomes can promote healthy environments within urban and peri-urban areas. Full article