The pursuit of carbon neutrality in China demands a rapid, spatially informed scale-up of renewable energy, including biomass, yet high-resolution, policy-aware data for site-specific planning remain scarce. To bridge this gap, we develop China's high-resolution spatially explicit biomass resource potential dataset, which integrates five biomass categories (agricultural residues, forestry residues, energy crops, animal manure, and municipal waste) at 1 km resolution for 2020, with projections to 2050. This dataset incorporates key constraints such as food security, ecological conservation, and land use suitability. It provides heat value potential distribution maps in GeoTIFF and PDF formats, and heat value potential data in Excel format. By combining multi-source geospatial data, statistical downscaling, and machine learning, this dataset enables precise assessment of resource conditions and provides forward-looking planning for biomass power deployment, rural revitalization, and carbon reduction strategies, thereby meeting China's critical need for integrated, location-aware open data in energy and land-use decision-making.
The decarbonization of urban energy communities increasingly requires coordinated integration of hydrogen, electricity, heat, and mobility under market-regulated environments. This study develops a hydrogen-driven digital transactions market embedded within a clustered, integrated energy hub architecture, where digital transactions markets, such as carbon emission trading (CET) and green certificate trading (GCT) mechanisms, are endogenously incorporated into operational scheduling. The framework coordinates hydrogen-diversified utilization, dual electric-hydrogen transportation systems, multi-vector storage, and renewable generation under carbon accounting constraints and social multi-stakeholder interactions. A decentralized multi-carrier optimization model is formulated to minimize system-wide scheduling cost while integrating CET/GCT revenues directly into dispatch decisions. Uncertainties in renewable generation, demand, and electricity prices are modeled using an inexact probabilistic stochastic programming approach with scenario generation and reduction. To extend evaluation beyond economic performance, a hydrogen-centric eco-social welfare layer comprising ten normalized indicators is introduced, quantifying emission mitigation, accessibility, equity, cost relief, and public acceptance. The model is validated on a four-hub clustered configuration under baseline and stress-test scenarios, including demand surges, renewable shortfalls, hydrogen price shocks, and market price fluctuations. Results demonstrate effective coordination between hydrogen production, storage, and mobility demand, with demand-side flexibility reducing operational costs by more than 16% in selected hubs. Carbon and certificate oracles market participation improves financial performance while enhancing emission compliance. Sensitivity analysis confirms robustness under combined worst-case disturbances. The proposed framework establishes a unified operational market structure that links hydrogen diversification, digital carbon-regulated transactions, and measurable eco-social welfare within sustainable urban energy systems.
The optimal power flow (OPF) problem is essentially about finding the cheapest and safest way to operate a power system without breaking any of the operational limits that govern it. In this paper, we introduce a new Modified Newton-Raphson-Based Optimizer (MNRBO) specifically designed to tackle real-world OPF problems, integrating renewable photovoltaic sources. The NRBO integrates gradient-inspired search using the NR search rule and the trap avoidance strategy. Our MNRBO extends this framework by adding two adaptive components. An Adaptive Crossover Mechanism (ACM) is added that lets solutions dynamically exchange useful information with each other, keeping the population diverse and preventing everyone from getting stuck in the same mediocre spot too soon. Also, a Sigmoid decay mode that smoothly and gradually shifts the algorithm from broad exploration (looking around the whole search space) in the early stages to careful fine-tuning (exploitation) toward the end. This gives much steadier and more predictable convergence than the original abrupt or polynomial decay. The resulting MNRBO algorithm forms a self-evolving optimization framework that automatically adjusts its learning strategy as the search progresses. We thoroughly tested MNRBO on the standard IEEE 30-bus system across a wide range of realistic scenarios: minimizing fuel costs (with smooth quadratic models, valve-point ripples, and multi-fuel options), handling generators with prohibited operating zones, and minimizing transmission losses under normal, peak, and light-load conditions. In every single case, MNRBO delivered better solutions, faster and more consistent convergence, and dramatically lower variation across multiple runs compared to the original NRBO and several other state-of-the-art algorithms. The results clearly show that MNRBO is not only more accurate but also far more robust and dependable, exactly what operators need when solving OPF in real power systems where reliability really matters. To further validate the applicability of the proposed approach under renewable energy uncertainty, a probabilistic OPF framework incorporating photovoltaic renewable generation is developed. In this case study, the integration of renewable solar photovoltaic energy in conditions of variable irradiance is examined using the Point Estimate Method (PEM) with lognormal irradiance modeling. In addition, an ablation study is conducted to quantify the individual contributions of the ACM and sigmoid decay strategy in the presence of renewable photovoltaic sources, demonstrating their significant impact on convergence stability, robustness, and optimization accuracy.
Lignin is the most abundant renewable source of aromatic carbon, and yet it remains a mostly underutilized byproduct of the biorefinery and paper industries. Factors such as complexity and a heterogeneous structure make lignin recalcitrant to conventional valorization, the utility of which often requires harsh conditions and expensive catalysts. Electrochemical conversion has emerged as a highly promising, sustainable alternative due to the use of electricity produced by renewable sources to drive depolymerization under mild, ambient conditions. This review summarizes recent progress in this field and provides a comprehensive overview of the primary electrochemical pathways used to promote the valorization of lignin. Herein, we critically examine oxidative strategies that include both direct electrooxidation at the anode surface and indirect oxidation using redox mediators, and provide details of the key challenges of electrode deactivation and product overoxidation. We then discuss reductive strategies with a focus on electrocatalytic hydrogenolysis for C-O bond cleavage. Furthermore, we explore advanced integrated systems that combine electrochemistry with microbial, enzymatic, and photochemical processes to enhance selectivity and efficiency. Finally, this review addresses persistent challenges and offers future perspectives and suggests opportunities with an emphasis on the critical need for innovations in electrocatalyst design, green electrolytes, and integrated reactor engineering to unlock the full potential of lignin as a renewable feedstock for a circular carbon economy.
Among renewable energy sources, hydropower has been the most economical and well-established technology for decades. However, the construction of hydropower plants (HPPs) may have (unknown) cumulative ecological and socioeconomic ramifications in the short and long term. In Africa, 673 large HPPs are proposed. If implemented, they will alter all major river networks through dam construction and reservoir inundation, although the actual extent remains unknown. This study conducts an integrated assessment of the impacts of all proposed HPPs at both basin and continental scales. Projected reservoir areas were overlaid with spatially explicit datasets on megafauna abundance, protected areas, cropland, and human resettlement. We further calculated indices of river regulation and fragmentation, as well as potential sediment entrapment and evaporation associated with the projected reservoirs. By integrating these indicators, we identified 102 HPPs that fall within the top quarter of projects with the greatest potential overall impact. HPP capacity size alone proved to be an inadequate impact indicator, as underlined by the highest- and lowest-ranked HPPs, both of which exhibited comparably low capacities. A sensitivity analysis revealed that the ranking depends on both the number of HPPs considered and the selection of indicators included in the analysis. This study provides evidence-based information to support decision-making when balancing renewable electricity needs against the environmental and socioeconomic impacts of HPP development at basin and continental scales.
In the context of the circular bioeconomy and environmental protection trends, the efficient use of renewable resources has become a driving force for industry, and lignin represents precisely a renewable carbon resource, abundant in terrestrial biomass that could become a sustainable substitute for fossil resources, under conditions of full exploitation. This study systematically evaluates the biosorption of Manganese (Mn(II)) from aqueous media using unmodified Tripidium bengalense (Sarkanda grass) lignin. Under optimal operating conditions (adsorbent dosage of 5 g/L, pH 6.5, and 20 °C), a highly competitive experimental adsorption capacity of 12.52 mg/g was achieved. Kinetic studies revealed exceptionally rapid uptake rates, with thermodynamic equilibrium established within the first 30 min, fitting perfectly with the pseudo-second-order (Ho-McKay) model (R2 ≥ 0.9998). Equilibrium data were best described by the Freundlich isotherm (R2 ≥ 0.9886), confirming chemisorption via preferential inner-sphere complexation on a heterogeneous surface. Thermodynamic analysis verified that the process is spontaneous (ΔG ranging from -13.24 to -26.19 kJ/mol) and endothermic (ΔH from 11.21 to 14.83 kJ/mol). FTIR, SEM-EDX, and TG/DTG analyses confirmed successful Mn-O coordination involving phenolic hydroxyl and carboxylic groups. Furthermore, the lignin showed excellent recyclability, maintaining a retention efficiency over 70% (70.7-85.8%) after three desorption-resorption cycles using 1N HCl. Ecotoxicological validation via Sorghum bicolor L. germination tests confirmed the complete detoxification of the post-adsorption filtrates (up to 100% germination capacity), while the Mn(II)-loaded lignin completely suppressed seed germination (0%), proving secure metal immobilization. These findings establish raw Sarkanda grass lignin as an efficient, scalable, and ecologically sustainable biosorbent for heavy metal remediation.
Many strategies to create a circular bioeconomy have been proposed. To be successful, CO2 must be reduced with renewable energy into chemical building blocks, from which the chemical industry can be supported. Circular strategies include leveraging photosynthesis to produce sugar and lipid intermediates or renewable electricity to produce hydrogen or other electron carriers to support CO2 reduction. Acetogens can anaerobically reduce CO2 with H2 to produce mixtures of small organic molecules in gas fermentations. We previously demonstrated that acetate, a common product of gas fermentation, can be converted to the model oleochemical dodecanol in engineered Escherichia coli. Here, we explored the conversion of ethanol and mixtures of ethanol and acetate to the same model oleochemicals. Co-feeding ethanol can supply both carbon and additional reducing power relative to acetate alone. In this work, we engineered E. coli to catabolize ethanol and expressed two distinct ethanol metabolism pathways in different operons and combined them with improved engineered acetate activation. We evaluated the performance of these operons in dodecanol-producing strains when fed ethanol or acetate and found ethanol to be a better carbon source when judged by product titers. The engineered strains fed ethanol produced about 2-fold more dodecanol than the strains fed acetate. This increase was in part, due to change in product distribution. Cells fed ethanol produced predominantly dodecanol, whereas cells fed acetate generated a mixture of dodecanol and dodecanoic acid. Dodecanol titers were further improved by employing feeding strategies in controlled bioreactors.
Electrochemical nitrogen reduction reaction (NRR) provides a promising pathway for sustainable ammonia synthesis under ambient conditions and direct integration with renewable electricity. However, practical implementation remains limited by sluggish N2 activation, severe competition from the hydrogen evolution reaction (HER), low ammonia partial current densities, and insufficient long-term stability. Existing studies frequently address these challenges separately, focusing on catalyst classes or mechanistic pathways, leaving a gap between atomic-scale materials design and system-level requirements for scalable operation. In this Review, we present an integrative perspective on electrocatalytic NRR that links reaction kinetics, descriptor-guided materials design, and reactor-level considerations. Emerging catalyst architectures, including single-atom, dual-atom, vacancy-engineered, and metal-free systems, are critically evaluated, highlighting how cooperative active sites, electronic-structure modulation, and defect chemistry regulate N2 adsorption, stabilization of key intermediates (particularly NNH), and suppression of HER. Mechanistic descriptors, scaling relations, and design principles are discussed alongside experimental performance trends to clarify thermodynamic and kinetic limits governing selectivity. Beyond catalyst discovery, we examine electrolyte and interphase engineering, gas-liquid-solid transport, pressure and flow management, durability, and ammonia handling. By connecting catalyst design, mechanistic descriptors, reactor constraints, and techno-economic targets, this Review outlines credible pathways toward scalable electrochemical ammonia production.
With the rapid construction of new power systems characterized by high renewable energy penetration, high power electronics integration, and high voltage levels, the insulation reliability of critical power equipment-including cable accessories, gas-insulated switchgear (GIS), and power electronic modules-faces unprecedented challenges. Field grading materials (FGM), as core functional media for adaptive electric field homogenization and insulation failure prevention, have emerged as a research hotspot spanning materials science, electrical engineering, and polymer engineering. Starting from the current research status of FGM, this review systematically summarizes filler optimization strategies, covering single fillers, hybrid fillers, trace co-fillers, and structural modification approaches. The applications of FGM in transmission cables, GIS, high-voltage electrical machines, and wide-bandgap power electronic modules are then elaborated in detail. Emphasis is placed on performance enhancement routes of FGM, particularly thermal conductivity improvement via constructing three-dimensional thermally conductive networks and intelligent early warning based on thermochromic materials. Finally, the existing bottlenecks of FGM are analyzed in terms of material stability, multi-physical field coupling adaptation, and engineering industrialization. Future development trends are prospected toward high-performance, multifunctional, intelligent, and engineering-oriented FGM. This review aims to provide theoretical references and technical support for the design and application of advanced FGM in new power systems.
Second-generation bioethanol technology is based on renewable raw materials with an unlimited potential for replenishment. However, the production cost of second-generation bioethanol is still higher than that of the first-generation. Biomass pretreatment is a key challenge, and solving it will improve the technology efficiency. In this study, Miscanthus × giganteus from the Russian breeding stock was subjected to pretreatments with dilute HNO3 under atmospheric pressure. Pretreatments were carried out either as a single stage (HNO3) or as two stages ((i) HNO3 followed by NaOH, and (ii) NaOH followed by HNO3). Classical delignification with NaOH was also performed for comparison. Simultaneous saccharification and fermentation with delayed inoculation (dSSF) was then performed under identical conditions, with Saccharomyces cerevisiae Y-3136 as the microbial producer. Two-stage pretreatments were found to excel in purity, pulp composition, pulp conversion, bioethanol yield during fermentation, and raw bioethanol purity (impurities decreased by a factor of 21 compared to NaOH delignification). However, fermentation indicators are not the only critical aspect in bioethanol production technology. The complete cycle from Miscanthus × giganteus feedstock to the target bioethanol product was evaluated. The single-stage pretreatment with HNO3 performed best among the tested conditions. The HNO3 pretreatment achieved a 50% yield of pulps and a maximal bioethanol yield of 267 L/t, which is 44% higher compared to NaOH delignification. Furthermore, the HNO3 pretreatment enables savings in resources and electric power, as well as full commercial utilization of all polymers of the lignocellulosic matrix of the feedstock.
Bio-based polyurethane (PU) coatings offer sustainable alternatives to petrochemical coatings but often suffer from inferior mechanical performance, durability, and chemical resistance. This work addresses that challenge by integrating a trifunctional bio-based crosslinker (glycerol) and a silane-based additive (hexamethyldisilane (HMDS)) to simultaneously enhance structural robustness and hydrophobicity. Coatings were synthesized using a renewable soybean oil polyol (SOP), glycerol (5, 10, 15 and 20 wt.%), and methylene diphenyl diisocyanate (MDI), followed by the addition of HMDS (10, 20, 30, 40 and 50 wt.%). Mechanical tests identified 10 wt.% glycerol as the optimal content, yielding a maximum tensile strength of 47.18 MPa. Incorporating 10 wt.% HMDS into the optimized formulation greatly increased water contact angle (WCA, 95.76°) and chemical resistance with minimal loss of mechanical performance (38.19 MPa, tensile strength); higher HMDS loadings caused network disruption and reduced strength. Calorimetry and thermogravimetric analyses confirmed that the modified coatings retained high thermal stability. This synergistic crosslinker additive strategy produced a structurally robust, water-resistant bio-based coating, demonstrating a viable high-performance sustainable coating solution for industrial applications.
CO2 electrolysis in solid oxide electrolysis cells (SOECs) holds promise for renewable energy storage and carbon recycling. However, current catalysts used in SOECs show decent electrochemical performance but limited CO2 conversion. Here, in situ exsolution process of the confined RuFe nanoparticles anchored on La0.6Sr0.4Fe0.95Ru0.05O3-δ perovskite (RuFe/LSFRu) was revealed, and SOEC using RuFe/LSFRu as cathode shows a current density of 2.75 A cm-2 and a CO2 conversion of 83.4% for direct CO2 electrolysis. Furthermore, the ethane-intensified SOEC employing RuFe/LSFRu cathode achieves ethane and CO2 conversion of over 95% (CO2/C2H6 = 4) and syngas production of 0.91 L h-1 cm-2 by integrating dry ethane reforming process with the reverse water-gas shift and electrolysis reactions. In situ electrochemical diffuse reflectance infrared Fourier transform spectroscopy and density functional theory calculations reveal that the decomposition of OH* species to produce H2 under the electric 'driving force' is crucial to the increase in H2 selectivity and CO2 conversion. These results highlight the superiority of RuFe/LSFRu as bi-functional catalyst for direct and ethane-intensified CO2 electrolysis in SOECs.
Biotic-abiotic interfaced configurations hold great promise for application in renewable energy and artificial photosynthesis systems. Recent advances in synthetic biology, computational, and visualization techniques, along with enhanced high-resolution characterization, have enabled a deeper fundamental understanding of the interface, which, in turn, has improved electron transfer processes and the design architecture. These developed configurations open new routes to mimic the photosynthetic apparatus or add new applications based on biotic and abiotic catalytic reactions. Aiming to surpass natural systems, researchers have examined methods to reconfigure these block sets into new designs. This review focuses on the advances in artificial photosynthesis and coupled biotic-abiotic biohybrid systems. The work presents the development of artificial photosynthesis configurations aimed at generating light-induced energy or fuels. The use of natural photosynthetic proteins, inorganic photocatalysts, and advanced biohybrid materials is presented and discussed, aiming to enable future biotic-abiotic design and the ambitious goal of developing real-world applications.
Despite their privileged status in pharmaceutical chemistry, the sustainable synthesis of cyclopropanes remains a fundamental challenge. Conventional methods rely on hazardous diazo precursors or pre-functionalized substrates that generate stoichiometric byproducts. Here, we report an overall endergonic, catalytic route to cyclopropanes from abundant, renewable starting materials. Furan oxetanes, readily formed by photochemical [2 + 2] cycloaddition of aldehydes and furan, undergo an intramolecular SN-type rearrangement under Lewis acid catalysis, producing cyclopropanes with ideal atom economy. The strategy enables access to meso-cyclopropane dicarbaldehydes, which are versatile intermediates that streamline the preparation of otherwise challenging bioactive motifs. By harnessing photogenerated oxetanes as cyclopropane precursors, this work offers a sustainable way to densely functionalized cyclopropanes from simple feedstocks under mild conditions.
Driven by the growing demand for sustainable polymers, polylactic acid (PLA) has attracted increasing attention due to its renewable origin and biodegradability. Lactide, the key cyclic monomer for PLA production via ring-opening polymerization (ROP), plays a decisive role in determining the molecular weight, stereoregularity, and final performance of PLA materials. However, current lactide synthesis processes still face significant challenges, including competing side reactions under high-temperature and high-vacuum conditions, difficulties in controlling stereochemical purity, and relatively high energy consumption. In this review, recent advances in lactide synthesis are systematically analyzed by examining the two principal industrial routes: the one-step process based on the direct dehydration-cyclization of lactic acid (LA), and the two-step process involving prepolymerization of LA followed by depolymerization/cyclization of oligomeric intermediates. The reaction mechanisms, key intermediates, and major side reactions-including racemization, transesterification, and deep polycondensation-are discussed, together with the regulatory roles of catalytic systems and reaction-separation coupling strategies. Comparative analysis reveals that the one-step route offers advantages in process integration and potential energy efficiency, whereas the two-step route provides superior control over stereochemical purity and process stability. Future research directions focusing on green catalysts, process intensification, and sustainable lactide production are also highlighted.
Under weak grid scenarios, wide variations of grid impedance distort resonance characteristics of LCL-type grid-connected inverters. Digital control delays introduce phase lag, which easily causes damping polarity reversal in conventional capacitor-current-feedback active damping strategies. From the perspective of impedance stability, this paper reveals that control delays produce frequency-dependent resistive components in equivalent damping impedance. The analytical boundary of positive-negative resistance transition is derived, which dominates the weak-grid adaptability of inverters. Accordingly, an impedance reshaping strategy based on phase-lead delay compensation is proposed. Embedded in the feedback loop, the phase-lead network extends the valid positive-resistance frequency region and decouples the inherent coupling between LCL resonance frequency and sampling frequency. The critical frequency is lifted from [Formula: see text] to above [Formula: see text], and the system maintains a stability margin over 45° within 0-10 mH grid inductance range. A quasi-proportional-resonant cascaded current regulator is further designed to suppress background harmonic interference. Simulation and experimental tests on a 5 kW prototype verify the superior performance. When grid inductance steps from 0 to 8 mH, grid-connected current THD remains below 2.8%, and transient response completes within two fundamental cycles. This study provides theoretical guidance and practical solution for stable grid integration of high-penetration renewable energy systems.
Polylactic acid (PLA), a biodegradable polyester from renewable resources, is a sustainable alternative to petrochemical plastics. However, its environmental degradation is inefficient naturally, requiring specific microbial activities. While bacterial PLA-degrading mechanisms are well documented, fungal degrading systems-particularly their molecular mechanisms-are underexplored.We isolated Sporobolomyces pararoseus ZRQ01 from the gut microbiota of PLA-fed mealworms. This fungal strain noticeably degraded PLA in PLA-containing medium supplemented with 2% glucose. Biodegradation assays revealed 22.8% loss of the PLA film weight after 35 days of incubation, and scanning electron microscopy confirmed extensive surface erosion and pore formation. Integrated transcriptomic and proteomic analyses, together with the reference genome of S. pararoseus ZRQ01, revealed that S. pararoseus ZRQ01 upregulates hydrolytic enzymes at both transcript and protein levels to cleave PLA into lactic acid. After lactic acid is transferred into S. pararoseus ZRQ01 cells by monocarboxylate transporters with increased abundance, it is assimilated by pathways of pyruvate metabolism and the TCA cycle with increased protein abundance. Intriguingly, upregulation of genes in autophagy-related and MAPK signaling pathways underscores an adaptive stress response potentially supporting cellular homeostasis and degradation-related gene expression. Our results highlight S. pararoseus ZRQ01's metabolic potential for bioremediation and offer insights into fungal bioplastic degradation pathways.
Cryopreservation-enabled workflows decouple tissue acquisition from organoid generation, allowing archived biopsies and surgical explants to be revisited as renewable experimental models. This shift expands access to patient-specific material, reduces the logistical and batch variability inherent in fresh-tissue pipelines, and enables retrospective and longitudinal studies anchored in real-world clinical cohorts. Proof-of-concept studies show that liver organoids can be derived from cryopreserved human tissues that retain viability and disease-relevant phenotypes, but performance remains sensitive to the source material, culture lines, and protocol details. The field remains fragmented, lacking broadly adopted standard operating procedures, shared post-thaw quality benchmarks, and interoperable data infrastructures linking organoid biobanks to clinical metadata. In this work, we argue that cryopreservation-enabled organoid biobanking should be treated as foundational infrastructure for precision hepatology, and we outline a pragmatic roadmap for coordinated implementation over the next decade.
The problem of chromium contamination, especially Cr(VI), in acidic wastewater has drawn significant attention, requiring effective and sustainable remediation measures. In this study, tannic-acid/Fe3O4-modified corn straw biochar (Fe-TA-CSB) is prepared by a grinding-calcination method to remove Cr(VI). The factors influencing the removal effect of Fe-TA-CSB are investigated through static adsorption experiments. The removal mechanism is explored by combining adsorption kinetics, isothermal adsorption, and thermodynamics, as well as characterization methods. The results show that the removal efficiency of Cr(VI) increases with the increase in pH, contact time (t), and solid-liquid ratio (m/v), but decreases with the increase in initial concentration (C0). Under optimal conditions of TA/Fe3O4 mass ratio = 12.5%, pH = 3.0, m/v = 1.0 g/L, and C0 = 10 mg/L, the removal efficiency value is 94.02%, which is approximately 81.44% after four adsorption-desorption cycles. The adsorption behavior is fitted well by the Sips isotherm model and Elovich kinetics model, suggesting the adsorption process of heterogeneous monolayer chemisorption. The removal mechanism of Cr(VI) by Fe-TA-CSB involves electrostatic interaction with Cr(VI), reduction in Cr(VI) to Cr(III) through C-O and Fe(II), and complexation of reduced Cr(III) with the introduced Fe-O and phenolic hydroxyl groups. Fe-TA-CSB is an environmentally friendly and renewable adsorbent with good potential for the treatment of acidic wastewater.
The increasing global demand for fossil fuels, driven by rapid population growth, has led to resource depletion and rising energy costs, prompting the search for renewable alternatives such as bioethanol. This study aimed to isolate, screen, and characterize potent yeast strains from selected fruits and evaluate their bioethanol production using molasses as a substrate. Eighteen fruit samples were randomly collected from Gondar City, Tikil Dingay, and Kola Diba in the Amhara Regional State, Ethiopia. Yeasts were isolated using the serial dilution technique and screened based on gas production and medium color change. Identification was conducted through morphological, physiological, biochemical, and molecular analyses, including sequencing of the ITS1, ITS2, and 5.8 S rRNA regions. A total of 22 yeast isolates were obtained, of which four (ASMS2, A1IS3, AS2M2, and AS3M10) demonstrated strong fermentation potential. Optimal growth was observed at 37 °C and pH 5. All selected isolates tolerated up to 5% ethanol and 30% glucose concentrations and fermented glucose, sucrose, and maltose, but not galactose or lactose. Ethanol concentrations ranged from 0.780 to 1.218%, with fermentation efficiencies between 36.0% and 47.0%, and ethanol productivity from 0.16 to 0.23 g/L/h. Molecular identification revealed A1IS3 as Pichia kudriavzevii and AS2M2 as Pichia species. The findings indicate that mango and avocado fruits are promising sources of ethanol-producing yeasts, and further optimization of fermentation conditions is recommended.