Search Results (6,051)

Logistics, as a vital component of economic growth, relies on fossil fuel burning, which accelerates carbon emissions into the atmosphere and harms the environment. Logistics, encompassing transportation, warehousing, and supply chain operations, is among the fastest-growing sources of carbon emissions globally, contributing significantly to GHG emissions. Climate change causes forced migration, extinctions, natural disasters, and health problems that disrupt the ecosystem’s dynamics. This work aims to critically examine the current palliative measures to limit the negative impact on global climate change while also methodically examining various aspects of the human world affected by the growing rate of carbon emissions globally, as the world turns to low-carbon economics as a powerful and inventive way to mitigate the climate crisis from carbon emissions. Under themes such as climate impacts, ecological disruption, socioeconomic ramifications, health implications, and mitigation techniques, a broad range of integrated publications focused on logistics and climate-related concerns were examined. The final section of the document emphasises the significance of zero emissions and outlines the regulations set by the Intergovernmental Panel on Climate Change (IPCC). It also makes a strong case for investing in sustainable and cutting-edge technologies in order to quickly achieve favourable global climate conditions. Full article

Maritime transport remains a significant source of air pollution and greenhouse gas emissions, while existing vessels face increasing pressure to comply with both local pollutant limits and emerging carbon intensity constraints. This study presents a sustainability-oriented techno-economic assessment of alternative sulphur compliance strategies using real operational data from a 1998-built cruise vessel. Three scenarios were evaluated: a counterfactual heavy fuel oil baseline, heavy fuel oil operation with open-loop scrubbers, and full switching to marine diesel oil. Pollutant emissions were estimated using a Tier 3-oriented approach, while fuel-related Tank-to-Wake greenhouse gas intensity, prospective carbon cost exposure, total cost, break-even fuel price spread and sensitivity analyses were integrated into a decision support framework. Results show that scrubbers reduce SO_x emissions by 96.9%, but increase fuel consumption, CO₂ emissions and NO_x emissions by approximately 3.6%. Marine diesel oil switching reduces SO_x by more than 99%, particulate matter by 88.8% and CO₂ by 4.6%, while also lowering prospective carbon cost exposure. However, under base case fuel price assumptions, heavy fuel oil operation with scrubbers remains the lower cost strategy, with a 2035 cost advantage of 4.03 to 5.30 million USD/year, depending on the carbon cost scenario. The findings show that the contribution of sulphur compliance strategies to sustainable maritime operation depends strongly on fuel price spreads, carbon cost exposure and remaining vessel lifetime under evolving regulatory conditions. By quantifying the trade-offs between local air pollution reduction, fuel-related carbon exposure and economic viability, this study contributes to sustainable maritime decision-making for aging vessels and supports compliance planning under regulatory uncertainty. Full article

This study integrated echocardiography with widely targeted metabolomics to decipher how plasma metabolic dynamics couple with cardiac geometry in Yili horses during incremental treadmill exercise. Nine speed-type horses underwent a graded exercise test (6% incline; 0 to 9 m/s). Jugular venous blood samples collected at rest (0 m/s) and at 3, 5, 7, and 9 m/s were profiled by LC-MS, and Pearson correlation analysis was applied to relate differentially expressed metabolites (DEMs) to twenty echocardiographic structural indices. A core set of 314 shared DEMs (124 upregulated, 190 downregulated) was identified across all exercise comparisons, spanning amino acids, organic acids, and fatty acyls. These metabolites were mapped to ABC transporter, thermogenesis, aldosterone-regulated sodium reabsorption, steroid hormone biosynthesis, and one-carbon folate metabolism pathways. At rest (0 m/s), right ventricular end-diastolic dimension correlated positively with arginyl-isoleucine (p < 0.001), whereas left ventricular free wall thickness (diastolic and systolic) correlated positively with undecanedioic acid (p < 0.001) and proline-hydroxyproline (p < 0.01). At peak exercise (9 m/s), left ventricular mass and left ventricular mass index correlated positively with succinic acid (p < 0.05) and methylmalonic acid (p < 0.05), while left ventricular minor axis correlated with carnitine C14:2 and carnitine C12:1 (p < 0.05). Left ventricular end-systolic dimension and left atrial end-diastolic dimension correlated negatively with cysteine-glutathione disulfide and N2-(1-carboxyethyl)-L-arginine, respectively. These findings illuminate a robust metabolic–cardiac structure axis: amino acid metabolites support collagen matrix turnover and redox homeostasis, organic acids sustain mitochondrial energy flux and antioxidant defense, and fatty acyls fuel continuous contractile activity via enhanced fatty acid oxidation. This metabolome-informed framework furnishes a mechanistic basis for precision training and performance phenotyping in equine athletes. Full article

The maritime industry faces the urgent challenge of reducing greenhouse gas (GHG) emissions while maintaining economic viability, especially under the International Maritime Organization’s (IMO) Net-Zero Framework and Carbon Intensity Indicator (CII). Optimizing ship speed is a key operational measure, but it involves a complex trade-off between fuel consumption, voyage time, and regulatory compliance costs. This paper presents a multi-objective ship speed optimization method using Evolutionary Deep Learning (EDL). In this study, EDL is defined as the integration of a deep gradient boosting fuel predictor (CatBoost) and a gradient-free evolutionary optimizer (Natural Evolution Strategies, NES). A hybrid fuel consumption prediction model combines ISO 15016:2015 physical constraints with CatBoost, achieving a Mean Absolute Percentage Error of 6.45%. The optimization model minimizes total operating costs and GHG emissions, incorporating Greenhouse Gas Fuel Intensity (GFI) compliance costs, CII rating constraints, and a voyage segmentation strategy. The problem is solved with an NES algorithm using Gaussian population representation and an elitism strategy. A case study of a transpacific voyage of a large container vessel (COSCO PACIFIC) shows that the proposed EDL method achieves the lowest GHG emissions among all benchmark algorithms (reducing CO₂eq by 9.18% compared to NSGA-II) and the fastest computation time (63.9% shorter than NSGA-II). While MOPSO and MOACO yield lower raw fuel costs by sacrificing emissions and compliance performance, EDL attains a superior balance across all objectives—emissions, compliance costs, and Comprehensive Fitness—with robust convergence and high computational efficiency. This approach offers practical support for sustainable ship navigation under complex regulatory pressures. Full article

This study investigates the ternary co-pyrolysis of Soma lignite (SL), a low-rank Turkish coal with high ash content, with two agricultural residues: pectin-rich sugar beet pulp (SBP) and lignin-rich peanut shell (PS). The primary objective is to clarify how biomass structure and blend composition control synergistic interactions, and how co-pyrolysis can upgrade the fuel properties of a low-quality coal while valorizing agro-industrial waste. Four SL:SBP:PS blends (80:10:10, 60:20:20, 40:30:30, and 20:40:40 wt.%) were tested by non-isothermal thermogravimetric analysis at 10 ${}^{\circ }$C min${}^{-1}$ under nitrogen. Differential thermogravimetric curves were deconvolved into four pseudo-components representing pectin/hemicellulose, cellulose, lignin/early coal, and main coal/mineral fractions. Mass-based deviation indices ($\Delta W$) and rate-based deviations ($\Psi$) from the additive prediction were calculated in three temperature regions to detect synergy and antagonism. The results demonstrate that interactions are strongly composition-dependent. The 40:30:30 blend exhibits the most pronounced synergistic enhancement, with average $\Delta W$ values of approximately −0.94 wt.% and −1.05 wt.% in the 350–500 ${}^{\circ }$C and 500–650 ${}^{\circ }$C ranges, respectively, while the 60:20:20 blend shows antagonistic behavior across all regions. For the 40:30:30 blend, the calculated higher heating value increases from 11.21 to 14.74 MJ kg${}^{-1}$, reflecting a gradual upgrading of the feed-mixture composition by biomass loading. Overall, the findings indicate that combining a pectin-rich, fast-devolatilising biomass with a lignin-rich, slower-decomposing biomass at an intermediate coal loading can shift mass loss to lower temperatures. This combination also produces measurable non-additive behaviour within the experimental noise level. In addition, it improves several feed-mixture indicators that are relevant to sustainable energy recovery from lignite-dominated regions. Full article

Demographic growth and the global environmental crisis have intensified the need to reconcile energy generation with the protection of terrestrial ecosystems. Traditional organic waste management systems are inefficient in handling high pollutant loads, leading to uncontrolled methane emissions and degradation of soil and water. In response to this challenge, the present study aimed to conduct a critical review of how Microbial Fuel Cells (MFCs) valorize biomass to align climate action (SDG 13) with the protection of terrestrial life (SDG 15). Through a bibliometric analysis of the Scopus database (2010–2026), supported by tools such as Bibliometrix, 460 documents were examined, complemented by a systematic literature review addressing biomass types, microbial interactions, and electrode modifications. The main findings indicate that MFC research is currently in an exponential growth phase (R² = 0.99954), with Environmental Sciences (23%) and Chemical Engineering (15%) as the predominant fields. Industrial and plant residues exhibit the highest bioelectric potential, while mixed microbial consortia—particularly fungal–bacterial synergies—outperform pure cultures in degradative efficiency and energy generation, reaching up to 1760 mW/m² with Geobacter sulfurreducens bioaugmentation. Electrode modification with nanomaterials such as NiO or MWCNTs substantially enhances charge transfer. Standardization of measurement protocols, ecological impact assessment of nanomaterials, and evaluation of the economic–environmental feasibility of MFC-integrated biorefineries are recommended to ensure scalability and effective contributions to SDGs 13 and 15. Full article

The aviation sector is under pressure to reduce greenhouse gas emissions. Proton exchange membrane fuel cell (PEMFC) systems are considered a promising option for sustainable aviation because of their high efficiency and suitability for electric propulsion. However, their performance deteriorates at high altitudes because reduced ambient pressure lowers the oxygen partial pressure at the cathode. This study investigated aviation PEMFC systems employing different air compression strategies under aircraft operating conditions. Three air supply configurations were examined: no compressor, a single-stage compressor, and a double-stage compressor. Among these, the double-stage configuration most effectively improved the reactant supply and stack output at high altitudes. Although the double-stage configuration increased compressor parasitic power consumption and required additional heat rejection through intercooling, its higher gross stack output compensated for these penalties and produced the highest net output. Achieving the same output with the no-compressor or single-stage compressor configuration would require additional cells and a larger stack. The system-specific power analysis showed that the double-stage configuration provided the most favorable mass-based performance. These results suggest that a double-stage-compressor configuration can be an effective air supply strategy for aviation PEMFC systems under high-altitude conditions. Full article

The energy demand, depletion of fossil fuels, generation of plastic waste, and final disposal of waste cooking oil (WCO) have become major concerns due to industrialization and population growth, creating significant environmental challenges. These challenges have encouraged the development of sustainable alternatives for the valorization of residual feedstocks. On the one hand, global energy consumption continues to increase, promoting the search for alternative fuel sources; on the other hand, the improper disposal of plastic waste has motivated the development of recycling technologies for plastic residues that are difficult to recycle through conventional routes. Moreover, WCO is commonly discharged into drainage systems, contributing to water contamination. Therefore, this study evaluates the alkaline-assisted co-processing of waste cooking oil with crude and distilled expanded polystyrene (EPS) pyrolysis fractions to obtain liquid products with potential application as fuel blendstock components. Specifically, the work explores the co-valorization of WCO with two aromatic hydrocarbon fractions derived from EPS pyrolysis: crude EPS pyrolysis oil and its distillate fraction. These EPS-derived streams are evaluated as residual hydrocarbon co-feeds for the alkaline-assisted processing of WCO into liquid fuel-like products. The influence of the catalyst loading, WCO-to-EPS-derived fraction mass ratio, and EPS-derived fraction type was analyzed based on the liquid product yield. Furthermore, first-generation vegetable oils were tested under selected conditions to compare their behavior with WCO and assess the applicability of the process to different lipid feedstocks. Finally, the fuel-related properties of the obtained liquid products were evaluated through the density, kinematic viscosity, and heating value, and compared with commercial fuel specifications. The results showed liquid product yields up to 92%, kinematic viscosity values within the range of international fuel specifications under selected conditions, and heating values above 40 MJ/kg. However, the density values indicated limitations for direct use as standalone fuels; therefore, the obtained products should be considered as potential fuel blendstock components requiring further blending and chemical characterization studies. Full article

To address the issues of increased energy consumption and reduced engine efficiency in plug-in hybrid electric vehicles (PHEVs) under low-temperature conditions due to cabin heating demands, this paper investigates the coupling characteristics between the powertrain system and the cabin thermal management system and proposes an adaptive energy management strategy tailored for low-temperature environments. First, a comprehensive model incorporating vehicle dynamics, the engine, and the passenger compartment thermal management system was established. The impact of different ambient temperatures and equivalent factors on the system’s energy consumption characteristics was then quantitatively analyzed under WLTC conditions. Based on this, an adaptive strategy for minimizing equivalent fuel consumption that accounts for cabin heating demand was designed. By using real-time cabin heating demand and engine waste heat power as state feedback, the equivalent factor is dynamically adjusted to coordinate the allocation of power between propulsion and heating. Simulation and hardware-in-the-loop test results indicate that the optimized strategy, by promoting early engine engagement and improving waste heat recovery efficiency, reduces PTC energy consumption by 0.47 kWh under −20 °C WLTC conditions, decreases additional fuel consumption caused by low temperatures by approximately 59%, and improves the vehicle’s equivalent fuel economy by 4.6%, while effectively maintaining passenger compartment thermal comfort. This study contributes to sustainable transportation by reducing low-temperature-induced energy waste, lowering equivalent fuel consumption, and promoting efficient use of engine waste heat, thereby supporting carbon emission reduction goals in hybrid electric vehicle operations. Full article

The valorization of spent coffee grounds (SCGs) into solid biofuels represents a promising pathway toward sustainable energy and waste reduction. The objective of this study is to upgrade SCGs into high-quality solid biofuels through an integrated process of activated carbon filter offcuts (ACFO)-assisted drying and microwave torrefaction. The methodology involves employing ACFO as a layered drying enhancer to facilitate moisture removal from SCGs at 85–125 °C, followed by microwave torrefaction at 200–300 °C to evaluate fuel properties and environmental sustainability via life cycle assessment (LCA). Results reveal that the alternating layered ACFO-SCG configuration accelerates drying kinetics and improves heat transfer uniformity. Under optimal conditions (85 °C), the specific power consumption decreased from 3.13 to 2.64 kWh per 1% moisture removal, achieving 15.6% energy savings compared with conventional convective drying. Microwave torrefaction at 300 °C yields high-quality biochar comparable to lignite with a higher heating value of 30.61 MJ·kg⁻¹. Furthermore, LCA indicates that torrefaction at 220 °C minimizes the carbon footprint (0.216 kg CO₂-eq per kg), whereas increasing the temperature to 300 °C reverses this advantage due to rising electricity demands. This finding concludes that ACFO can effectively bypass biomass-drying energy barriers, enabling the efficient upcycling of SCGs into high-quality solid biofuels with limited energy input. Full article

Today, the development of ion exchange membranes has increased considerably in various applications, such as water treatment, energy conversion and storage, as well as environmental applications. In this study, several ion exchange membranes based on cellulose acetate propionate (CAP) and ionic liquids (ILs) were fabricated using the phase inversion method, aiming to develop more sustainable membrane materials for environmental and energy applications. Three different ILs with a similar cation and different anions (1-(4-sulfobutyl)-3-methylimidazolium trifluoromethanesulfonate [SMIM][TFS], 1-(4-sulfobutyl)-3-methylimidazolium hydrogen sulfate [SMIM][HS], and 1-(4-sulfobutyl)-3-methylimidazolium bis(trifluoromethanesulfonyl)imide [SMIM][TFSI]) were used in three concentrations (i.e., 9, 17, and 23 wt.%). The main objective of this work is to evaluate the influence of the anion structure on the membrane’s physical, morphological, hydrophilic, thermal, mechanical, and electrochemical properties. Water contact angle measurements demonstrated the weaker hydrophilicity of composite membranes containing [SMIM][TFS] (81–106°) and [SMIM][TFSI] (87–94°) in comparison with pure CAP (~79°) and CAP/[SMIM][HS] (79–83°) membranes. The CAP/[SMIM][HS] membrane showed higher elongation at break (~36%) compared with the pure CAP membrane (~24%), confirming the plasticization behavior of [SMIM][HS]. The CAP/[SMIM][TFS] membrane containing 23 wt.% of IL showed promising membrane potential, permselectivity, transport number and ion flux ratio values of 53.2 mV, 74.7%, 0.85, and 5.5, respectively, indicating its potential as a candidate for further evaluation in electrochemical membrane processes such as electrodialysis and fuel cells. Full article

Given its high energy density and environmentally benign nature, hydrogen has emerged as a sustainable alternative to conventional fossil fuels. Consequently, water electrolysis has attracted considerable attention as a hydrogen production method, with the design of efficient and durable catalytic materials representing a crucial research focus. Herein, we design a two-dimensional metal–organic framework (MOF) for hydrogen evolution electrocatalysis using density functional theory calculation. V₃(C₆O₆)₂, Cr₃(C₆O₆)₂ and Co₃(C₆O₆)₂ emerge as potentially viable, meeting dual criteria of thermodynamic stability and optimal catalytic activity. Notably, Cr₃(C₆O₆)₂ demonstrates unexpectedly high hydrogen evolution reaction (HER) activity comparable to Pt-based catalysts, owing to the moderate H-s/Cr-d-orbital hybridization that fine-tunes H binding. The findings provide substantial theoretical guidance for developing advanced electrocatalysts for sustainable hydrogen evolution. Full article

Integrating green hydrogen systems into hybrid microgrids introduces nonlinear dynamics that compromise control stability during operational transitions. The performance of the advanced control loops depends on the latency and reliability provided by the communication infrastructure. This paper proposes a Software-Defined Networking (SDN) architecture integrated with an adaptive Quality of Service (AQoS) framework to support time-critical data flows in a hybrid microgrid with green hydrogen integration. An emulated network topology in GNS3, with OpenDaylight as the SDN controller and Open vSwitch as the forwarding plane, reproduces IEC 61850 traffic patterns, including GOOSE, control set-points and MMS. These traffic classes coordinate key microgrid components, including electrolysers, fuel cells and battery storage. Experimental results show that the SDN-AQoS framework reduces latency variance by 60% compared to unmanaged SDN configurations and delivers 49.4% higher throughput than traditional TCP/IP networks under congestion. The SDN-AQoS configuration achieves a median latency of 9.68 ms, keeping 97.5% of the measurements below the 20 ms safety threshold for electrolyser control. This level of reliability represents a substantial improvement over the plain TCP/IP at 90%, unmanaged SDN at 66.7% and static QoS policing at 60%. QoS rules are configured through the RESTCONF interface and remain fixed during each experiment while enabling the future integration of reinforcement learning agents for autonomous QoS adaptation. At the same time, this framework supports the bounded communication delay required to sustain frequency control and electrolyser safety coordination in low-inertia hydrogen microgrids during network congestion. The physical layer impact of these communication improvements remains a subject of future hardware-in-the-loop validation. Full article

The retail fuel trade in urban areas presents relevant environmental risks, requiring systematic sustainability assessments. This study aims to highlight the socioenvironmental performance of gas stations in Mossoró, RN, using the Corporate Sustainability Index (ISE). It is a descriptive and exploratory case study based on questionnaires administered to managers of 12 licensed stations. The ISE was calculated from 17 environmental, legal, social, and operational indicators, equally weighted. The results indicated a predominance of high sustainability performance, with 91.7% of the enterprises presenting an ISE above 75%, associated with operational organization, preventive practices, and compliance with legal requirements. However, part of the actions remains tied to regulatory compliance, revealing a predominantly reactive environmental management profile. This study provides support for improving strategic environmental management in the urban context of Brazil’s semi-arid region. Full article

The concurrent accumulation of plastic waste and CO₂ emissions poses a critical environmental challenge while presenting a compelling opportunity for integrated carbon management. Coupled plastic waste reforming and CO₂ conversion has recently emerged as a promising strategy to valorize these abundant waste streams into fuels and value-added chemicals, enabling a closed carbon cycle. This review systematically summarizes recent advances in integrated electrochemical and photoelectrochemical systems for the co-conversion of plastic waste and CO₂. Fundamental reaction pathways, including plastic depolymerization, reforming, and oxidation, are discussed in conjunction with their thermodynamic and kinetic coupling to CO₂ reduction. Particular emphasis is placed on paired electrochemical processes, such as plastic-derived alcohol oxidation coupled with CO₂ reduction processes, all of which offer enhanced energy efficiency. Photoelectrochemical approaches driven by renewable energy are further highlighted for their potential to operate under mild conditions. In addition, key design strategies for catalysts and electrodes—focusing on earth-abundant materials, redox stability, interfacial engineering, and selectivity control—are critically evaluated. Finally, current challenges and future opportunities are outlined to accelerate the development of scalable, efficient, and sustainable technologies for circular chemical manufacturing. Full article