Search Results (6,312)

Human activity impacts the natural environment. One example of such an impact is energy production, including energy from renewable sources. The aim of this study was to analyse and assess changes in the state of the environment in 2008, 2015 and 2023, resulting from the development and structure of renewable energy sources in EU countries. Three research questions were formulated: Question 1 (Q1). Is the state of the environment in most EU countries characterised by variability in terms of the level of renewable energy development? Question 2 (Q2). Has the composition of the group of EU countries with the highest environmental status changed? Question 3 (Q3). Is the group of EU countries with the highest environmental status characterised by a diverse structure of renewable energy sources used? The study covers three key periods: 2008, 2015 and 2023. This approach allows for the identification of the impact of crisis factors on the relationship between the energy transition and environmental status. The evaluation applied the TOPSIS, EDAS and Ward’s methods. Based on a substantive and formal analysis, diagnostic variables were selected: 18 describing the structure and level of RES development, 7 economic indicators and 11 reflecting the environmental status of EU countries. The selection criterion was data availability, with sources drawn from the EUROSTAT, IRENA and World Bank Group databases. The results show that the main leaders were Italy, Sweden, France and Germany, with Austria and Denmark maintaining high positions only in 2008. Italy took the lead in 2015 and retained it in 2023 thanks to extensive emission reductions, while Finland joined the top group. Poland and Lithuania ranked last in 2015 and 2023. A growing gap was also observed between the leaders and the lowest-performing countries. Among the highest-ranked countries, hydropower was the dominant RES, while in Germany and Denmark, wind energy and biofuels also played a key role. Cluster analysis using Ward’s method confirmed the diversity of environmental and energy profiles, as well as Belgium’s distinct position. The study confirms the instability of most EU countries’ positions, the persistence of a small group of leaders and widening disparities in sustainable environmental development within the EU. Full article

The institutional environment constitutes the external foundation for corporate development. In the process of China’s modernization, addressing the fiscal constraints on corporate green development is a key issue in advancing the green transformation of the economy, as well as a new approach to understanding the implementation gaps in environmental regulations and the challenges facing the development of green finance. This paper draws on new institutional economics theory to construct an analytical framework of “institutional incentives-behavioural choices-performance outcomes.” Using unbalanced panel data from 2008 to 2022 on listed companies in the Shanghai and Shenzhen A-share markets and prefecture-level cities, a two-way fixed effects model is employed to systematically examine the impact of fiscal vertical imbalances on the efficiency of corporate green development. Heterogeneity analysis reveals the ‘institutional sensitivity gradient’ phenomenon, with the inhibitory effects of fiscal vertical imbalances being particularly pronounced among institutionally sensitive groups such as labour and capital-intensive enterprises, heavily polluting enterprises, mature and declining stage enterprises, and eastern coastal enterprises. Fiscal vertical imbalances severely constrain the pace of green transformation in traditional enterprises and the growth of green industries. It is necessary to reconfigure the central-local fiscal relationship oriented toward green development, innovate ecological compensation and green debt coordination mechanisms, and establish an incentive-compatible institutional environment to resolve the “green paradox.” Full article

Industrial packaging systems exert substantial environmental pressures, including material resource depletion, greenhouse gas emissions, and the accumulation of post-consumer waste. As global supply chains expand and sustainability regulations intensify, demand for environmentally responsible packaging solutions continues to rise. This study evaluates the environmental footprint of industrial packaging by integrating recent developments in life cycle assessment (LCA), ecological footprint (EF) methodologies, material innovations, and circular economy models. The assessment examines the sustainability performance of conventional and alternative packaging materials, plastics, aluminum, corrugated cardboard, and polylactic acid (PLA). Findings indicate that although corrugated cardboard is renewable, it still presents a measurable environmental burden, with evidence suggesting that incorporating solar energy into production can reduce its footprint by more than 12%. PLA-based trays demonstrate promising environmental performance when sourced from renewable feedstocks and directed to appropriate composting systems. Despite these advancements, several systemic challenges persist, including ecological overshoot in industrial regions where EF may exceed local biocapacity limitations in waste management infrastructure, and significant economic trade-offs. Transportation-related emissions and scalability constraints for bio-based materials further hinder large-scale adoption. Existing research suggests that integrating sustainable packaging across supply chains could meaningfully reduce environmental impacts. Achieving this transition requires coordinated cross-sector collaboration, standardized policy frameworks, and embedding advanced environmental criteria into packaging design and decision-making processes. Full article

Whey and its permeates constitute highly organic, low-alkalinity dairy streams whose management remains suboptimal in many processing facilities. This narrative review integrates recent evidence on the anaerobic digestion (AD) of whey, linking substrate composition and biodegradability with microbial pathways, inhibition mechanisms, biogas quality, and techno-economic and environmental feasibility in industrial settings. Data for sweet whey, acid whey, and their permeates are synthesized, with emphasis on operational windows, micronutrient requirements, and co-digestion or C/N/P/S balancing strategies that sustain resilient methanogenic communities. Options for biogas conditioning and upgrading towards combined heat and power, boiler applications, and compressed or liquefied biomethane are examined, and selection criteria are proposed based on impurity profiles, thermal integration, and methane-recovery performance. Finally, critical R&D gaps are identified, including mechanistic monitoring, bioavailable micronutrition, modular upgrading architectures, and the valorization of digestate as a recovered fertilizer. This review provides an integrated framework to guide the design and operation of technically stable, environmentally verifiable, and economically viable whey-to-biomethane schemes for the dairy industry. Full article

Flooding episodes caused by a heavy rainfall event have become more frequent, especially during the rainfall season in Botswana, which poses some socio-economic and environmental risks. This study investigates the capability of the Weather Research and Forecasting (WRF) model in simulating a heavy rainfall event that occurred on 26 December 2023 in Mahalapye District, Botswana. This event is one among many that have negatively impacted the lives and infrastructures in Botswana. The WRF model was configured using the tropical-suite physics schemes, i.e., (Rapid Radiative Transfer Model, Yonsei University planetary boundary layer scheme, Unified Noah land surface model, New Tiedtke, Weather Research and Forecasting Single-Moment six-class) on a two-way nested domain (9 km and 3 km grid spacing) and was initialized with the GFS dataset. Gauged station data was used for verification alongside synoptic charts generated using ECMWF ERA5 dataset. The results show that the WRF model simulation using the tropical-suite physics schemes is able to reproduce the spatial and temporal patterns of the observed rainfall but with some notable biases. Performance metrics, including RMSE, correlation coefficient, and KGE, showed moderate to good agreement, highlighting the model’s sensitivity to physical parameterization and resolution. The results of this study conclude that the WRF model demonstrates promising potential in forecasting extreme rainfall events in Botswana, but more sensitivity tests to different parameterization schemes are needed in order to integrate the model into the early warning systems to enhance disaster preparedness and response. Full article

The rapid increase in organic waste generation poses significant environmental challenges and highlights the limitations of conventional waste management practices. In this context, black soldier fly (Hermetia illucens) larvae (BSFL) have emerged as a promising biological tool for valorizing organic residues within circular bioeconomy frameworks. This review provides an integrated analysis of BSFL-based bioconversion systems, focusing on the biological characteristics of BSFL, suitable organic waste streams, and the key process parameters influencing waste reduction efficiency, larval biomass production, and frass (the residual material from larval bioconversion) yield. The performance of BSFL in converting organic waste is assessed with emphasis on substrate characteristics, environmental conditions, larval density, and harvesting strategies. Environmental and economic implications are discussed in comparison with conventional treatments such as landfilling, composting, and anaerobic digestion. Special attention is given to the nutritional composition of BSFL and the valorization of larvae as sustainable protein and lipid sources for animal feed and emerging human food applications, while frass is highlighted as a nutrient-rich organic fertilizer and soil amendment. Finally, current challenges related to scalability, safety, regulation, and social acceptance are highlighted. By linking waste management, resource recovery, and sustainable protein production, this review clarifies the role of BSFL and frass in resilient and resource-efficient food and waste management systems. Full article

In an era increasingly defined by the imperative for sustainable development, the construction sector faces significant challenges, including resource limitations, environmental pressures, and high uncertainty. Within this context, the organizational capabilities of construction projects are widely recognized as a critical endogenous driver, closely linked to sustainable performance outcomes. Yet, empirical research to date has produced inconsistent conclusions, and a systematic understanding of how distinct dimensions of capability influence sustainability remains surprisingly fragmented. To address this gap, we employ a meta-analysis to synthesize 11,881 independent samples from 64 quantitative empirical studies. We systematically examined the overall relationship between organizational capability in construction projects and sustainable performance. It further compares the differential effects of project capabilities and dynamic capabilities across economic, social, and environmental performance. Additionally, the study investigated the moderating effects of key contextual and methodological factors. Our analysis yielded several important findings: (1) A significant, moderately positive correlation exists between organizational capability in construction projects and sustainable performance. (2) Project capability exerts a stronger association with economic and social performance, whereas dynamic capability demonstrates a more pronounced effect on environmental performance. This underscored distinct pathways through which different capability dimensions operate. (3) Moderation analysis revealed that the relationship between organizational capability and sustainable performance is stronger in emerging economies and collectivist cultural contexts. Methodologically, structural equation modeling tended to produce larger effect sizes compared to regression analysis. Although no significant moderation effect emerges across research time points, post-2015 studies generally showed slightly stronger effects. The findings enrich the application of the Resource-Based View and Dynamic Capability Theory within construction project contexts, emphasizing the multidimensional nature of organizational capabilities and their differentiated roles across triple-bottom-line performance. Consequently, this research offers valuable pathways for capability development and a strategic foundation for enhancing managerial practice in construction project management. Full article

Warm-mixed asphalt technology can significantly reduce the heating temperatures required for asphalt pavement construction, which makes it one of the crucial technical approaches in road engineering for achieving energy conservation and emission reduction, and carbon neutrality. Existing research often focuses on designing asphalt materials to ensure optimal service performance, but insufficient attention has been paid to the specific extent of reduction in asphalt fume emissions. However, the latter is a critical factor that cannot be neglected when constructing asphalt pavements in environmentally sensitive regions. Considering the environmental factor, this study systematically explores the comprehensive influence of different warm-mixed additive dosages on the viscoelastic properties and VOC emissions of warm-mixed SBS asphalt binder using rotational viscosity, bending beam rheometer (BBR), dynamic shear rheometer (DSR), and gas chromatography–mass spectrometry (GC-MS) test methods. The findings show that the application of warm-mixed additive does not compromise the comprehensive properties of SBS asphalt binder, but partially enhances its service performance instead. Due to the significant reduction in heating temperature, asphalt VOC emissions are indirectly reduced. Although the warm-mixed additive possesses a certain degree of volatility, its application still shows a significant trend toward emission reduction. Despite 0.4% being a relatively economical dosage of warm-mixed additive, a slight increase to 0.5% can achieve more pronounced environmental benefits in VOC emission reduction while maintaining comprehensive service performance that meets specification requirements. The findings can provide new insights for the application and decision-making of warm-mixed asphalt technology in environmentally sensitive regions. Full article

Ensuring affordable and reliable electricity access to areas with low population density is challenging, as network sparsity and lower connectivity rates can make it nearly impossible for electric utilities to cover the cost of interconnection without raising electricity tariffs. Utility providers that consider extending their networks to remote households must balance multiple and often conflicting objectives, including investment cost, grid resilience, geographical coverage, and environmental impacts. In this paper, a multi-objective decision-making framework is proposed for the electrification of rural households, considering traditional distribution network extension as well as microgrid deployment. In order to condense a wide range of spatial inputs into a tractable problem, a multi-criteria decision-making approach is adopted to identify and rank candidate sites for microgrid deployment that offer superior performance over a variety of technical, environmental, and economic criteria. A novel optimization model is then proposed using multi-objective Chebyshev goal programming, in which project costs, environmental impacts, and energy justice criteria are jointly optimized. The applicability of this framework is demonstrated through a case study of the Shiprock region within the Navajo Nation. The results indicate that the proposed methodology provides a balanced trade-off among conflicting objectives and identifies a priority order of loads to energize first under marginally increasing budgets. Full article

For the separation of the close-boiling 1,2-propanediol and ethylene glycol mixture, several process intensification (PI) schemes have been proposed for the two-column configurations. However, no PI technology has yet been investigated for the challenging single-column design operating at atmospheric pressure (SCD). The previously published improvements include the economically modified single-column design (MSCD) as well as high-pressure configurations with (HPDHI) and without (HPD) feed-preheating heat integration. Therefore, this study proposes a partial vapor recompression (SCD-PVR) configuration to intensify this separation using UniSim Design software. Economic and environmental performances were evaluated through total annualized cost (TAC) and CO₂ emissions. When directly compared with the SCD, MSCD, HPD, and HPDHI schemes, the SCD-PVR achieved CO₂ emission reductions of 67.9%, 68.6%, 61.2%, and 56.0%, respectively. Considering a 5-year payback period, SCD-PVR outperformed the SCD and MSCD schemes, decreasing TAC by 9.7% and 11.2%. For a 10-year payback period, the benefits became more significant, with TAC reductions of 31.4%, 32.7%, 17.2%, and 9.3% relative to SCD, MSCD, HPD, and HPDHI. These findings demonstrate that SCD-PVR provides a more energy-efficient, environmentally sustainable, and economically attractive alternative for retrofitting existing plants. Full article

Winter jujube is highly favored by consumers, and improving both the fruit quality and yield during cultivation is a key issue in horticultural research. Fertilization is a critical measure regulating growth. This study aimed to evaluate the effects of basal fertilizer combined with two novel synergistic additives—graphene and microbial inoculants—on the growth, fruit quality, and metabolic profiles of winter jujube, providing new fertilization strategies. The selected doses of graphene (0.38 g/plant) and microbial inoculant (0.26 g/plant) were based on the previous literature to balance efficacy, cost, and environmental safety. The graphene used was functionalized graphene oxide provided by Shanxi Datong University, chosen for its enhanced dispersibility and plant compatibility. Although this study focused on physiological and metabolic responses, the economic feasibility and potential environmental implications of these additives are discussed in the context of sustainable jujube production. Six-year-old winter jujube trees were treated with four fertilization regimes: basal fertilizer + graphene (T1), basal fertilizer + microbial fertilizer (T2), basal fertilizer + graphene + microbial fertilizer (T3), and basal fertilizer only (CK). Growth indices, mineral element contents in different organs, and fruit quality traits were measured. Widely targeted metabolomics was used to analyze metabolic variations among treatments. Compared with CK, all three synergistic fertilizer treatments tended to promote growth, increasing leaf area, chlorophyll content, and jujube bearing shoot length; contributed to the accumulation of P, K, Ca, Mg, and other minerals in various organs; and helped improve fruit quality by increasing the total sugars and flavonoids. T1 and T3 exhibited relatively better overall performance. Metabolomic analysis revealed significant differences in the metabolite profiles of winter jujube fruits across different treatments. Phenolic acids and flavonoids were closely associated with the improvement in fruit quality; further screening identified seven differential metabolites, predominantly belonging to phenolic acids. Basal fertilizer combined with graphene alone or with microbial inoculants may effectively promote growth and improve fruit quality by optimizing mineral uptake and regulating metabolic processes. These findings provide potential theoretical and practical support for high-quality, high-yield fertilization strategies for winter jujube. Full article

The accelerating global demand for sustainable energy, driven by population growth, industrialization, and environmental concerns, has intensified the search for renewable alternatives to fossil fuels. Biofuels, including bioethanol, biodiesel, biogas, and biohydrogen, offer a viable and practical pathway to reducing net carbon dioxide (CO₂) emissions. Yet, their large-scale production remains constrained by biomass recalcitrance, high pretreatment costs, and the enzyme-intensive nature of conversion processes. Recent advances in enzyme immobilization using magnetic nanoparticles (MNPs), covalent organic frameworks, metal–organic frameworks, and biochar have significantly improved enzyme stability, recyclability, and catalytic efficiency. Complementary strategies such as cross-linked enzyme aggregates, carrier-free immobilization, and site-specific attachment further reduce enzyme leaching and operational costs, particularly in lipase-mediated biodiesel synthesis. In addition to biocatalysis, nanozymes—nanomaterials exhibiting enzyme-like activity—are emerging as robust co-catalysts for biomass degradation and upgrading, although challenges in selectivity and environmental safety persist. Green synthesis approaches employing plant extracts, microbes, and agro-industrial wastes are increasingly adopted to produce eco-friendly nanomaterials and bio-derived supports aligned with circular economy principles. These functionalized materials have demonstrated promising performance in esterification, transesterification, and catalytic routes for biohydrogen generation. Technoeconomic and lifecycle assessments emphasize the need to balance catalyst complexity with environmental and economic sustainability. Multifunctional catalysts, process intensification strategies, and engineered thermostable enzymes are improving productivity. Looking forward, pilot-scale validation of green-synthesized nano- and biomaterials, coupled with appropriate regulatory frameworks, will be critical for real-world deployment. Full article

Geothermal energy is recognized as one of the most reliable and environmentally sustainable energy sources. This study presents a comprehensive energy, exergy, economic, and exergoenvironmental assessment of the Mis I binary geothermal power plant (GPP) operating with a low-temperature geothermal resource. This study fills a critical gap in the literature by providing a four-dimensional (4-E) assessment—energy, exergy, economic, and exergoenvironmental—of the Mis I binary geothermal power plant (GPP). Unlike conventional studies that focus on theoretical models, this research utilizes real-time operational data to identify potential improvements at the component level by evaluating exergy-based environmental sustainability and economic performance. The energy efficiency of the n-pentane Rankine cycle was calculated as 39.76%, indicating that a substantial portion of the geothermal heat is rejected as waste. The exergy input to the plant was determined to be 18,580.29 kW, while the net electrical power output was 8990 kW, resulting in an overall exergy efficiency of 48.38%. These results highlight the clear disparity between energy and exergy efficiencies and underline the importance of exergy-based performance evaluation for low-temperature geothermal power systems. Component-level exergy balance analyses were conducted using real operating data, revealing that the cooling towers are the dominant sources of exergy destruction, whereas the turbine units exhibit comparatively high thermodynamic effectiveness. Improvement potential analysis identified cooling towers I–II, evaporator II, and preheater I as key components requiring further optimization. Economic evaluation showed that approximately 64% of the total investment cost is associated with turbine units, with a total plant cost of about USD 6.7 million. The levelized cost of electricity was calculated as 0.0136 USD/kWh, and the payback period was approximately 1.5 years. Exergoenvironmental results indicate that the Mis I GPP achieves the highest sustainability index (1.94) among comparable plants, confirming its superior thermodynamic, economic, and environmental performance. Full article

This paper examines the application of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for voltage regulation in a small-scale wind turbine (SWT) system intended for off-grid rural electrification in Uzbekistan. The proposed architecture consists of a wind turbine, a permanent-magnet DC generator, and a buck converter supplying a regulated 48 V DC load. While ANFIS-based control has been reported previously for wind energy systems, the novelty of this work lies in its focused application to a DC-generator-based SWT topology using real wind data from the Bukhara region, together with a rigorous quantitative comparison against a conventional PI controller under both constant- and reconstructed variable-wind conditions. Dynamic performance was evaluated through MATLAB/Simulink simulations incorporating IEC-compliant wind turbulence modeling. Quantitative results show that the ANFIS controller achieves faster settling, reduced voltage ripple, and improved disturbance rejection compared to PI control. The findings demonstrate the technical feasibility of ANFIS-based voltage regulation for decentralized DC wind energy systems, while recognizing that economic viability and environmental benefits require further system-level and experimental assessment. Full article

Selecting a sustainable healthcare waste treatment method is a complex multi-criteria problem influenced by environmental, economic, social and technological factors. This study addresses key gaps in the literature by proposing an intuitionistic fuzzy AHP–TOPSIS framework that explicitly models cognitive uncertainty and expert hesitation, while demonstrating its application through a real-world case study in Adana, Türkiye. In contrast to prior studies utilizing fewer criteria, our framework evaluates four treatment alternatives—incineration, steam sterilization, microwave, and landfill—across 17 comprehensive criteria that directly integrate circular economy principles such as resource recovery and energy efficiency. The results indicate that steam sterilization is the most sustainable option, demonstrating superior performance across environmental, economic, social, and technological dimensions. A 15-scenario sensitivity analysis ensures ranking resilience across varying decision contexts. Furthermore, a systematic comparative analysis highlights the methodological advantages of the proposed framework in terms of analytical granularity and robustness compared to existing models. The study also offers step-by-step operational guidance, creating a transparent and policy-responsive decision-support tool for healthcare waste management authorities to advance sustainable practices. Full article