Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (354)

Search Parameters:
Keywords = cold gas efficiency

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
33 pages, 1887 KB  
Article
Coupled CFD and Physics-Based Digital Shadow Framework for Oil-Flooded Screw Compressors: Rotor Geometry Sensitivity, Transient Pulsation Response, and Annual Climate Penalties
by Dinara Baskanbayeva, Kassym Yelemessov, Lyaila Sabirova, Sanzhar Kalmaganbetov, Yerzhan Sarybayev and Darkhan Yerezhep
Appl. Sci. 2026, 16(7), 3359; https://doi.org/10.3390/app16073359 - 30 Mar 2026
Viewed by 230
Abstract
Screw compressors are critical equipment in oil and gas production and transportation, where efficiency losses caused by rotor geometry, inlet pressure pulsations, and harsh climatic conditions can accumulate into substantial annual energy penalties and reliability degradation. This study provides a quantitative assessment of [...] Read more.
Screw compressors are critical equipment in oil and gas production and transportation, where efficiency losses caused by rotor geometry, inlet pressure pulsations, and harsh climatic conditions can accumulate into substantial annual energy penalties and reliability degradation. This study provides a quantitative assessment of these coupled effects within a unified multiphysics framework that combines time-accurate transient CFD simulations based on a fixed Cartesian immersed-boundary formulation with a climate-calibrated offline physics-based digital twin—functioning as a digital shadow with one-way data flow from archival SCADA records—a reduced-order seasonal model with no real-time updating, calibrated against a full calendar year of SCADA records and validated against a held-out cold-season dataset (October–December 2022, Tamb = −15 to +8 °C); summer-period predictions rely on calibrated extrapolation beyond the validation window—an integration not previously demonstrated for oil-flooded screw compressors. Two rotor profile configurations (Type A and Type B) were analyzed to quantify geometry-driven differences in static pressure distribution, leakage tendency, and pulsation sensitivity. Transient suction conditions were modeled using harmonic and quasi-random inlet pressure disturbances to evaluate pressure amplification, phase lag, leakage intensification, and efficiency degradation. Seasonal performance was assessed by integrating temperature-dependent gas properties, oil viscosity behavior, and external heat transfer into an annual climatic load framework. The results show that inlet oscillations are amplified inside the chambers (pressure amplification factor Пp ≈ 1.95; Пp up to 2.3 under quasi-random excitation), reducing mass flow and volumetric efficiency by 8–10% and decreasing polytropic efficiency from 0.78 to 0.69–0.71, while increasing leakage by up to 27% and raising peak contact pressures to 167–171 MPa. Seasonal variability (+30 to −30 °C) increased suction density by 38% but raised drive power by ~9% due to viscosity-driven mechanical losses, producing an energy penalty up to 10.8% and an estimated annual additional consumption of approximately 186 MWh per compressor, decomposed as: cold-season contribution ~113 MWh (±10 MWh, directly field-validated against October–December 2022 SCADA data) and summer-season contribution ~51 MWh (calibrated extrapolation; additional uncertainty unquantified and not included in the ±10 MWh bound). The full annual figure of 186 MWh should be interpreted as a model-based estimate rather than a fully validated result. These findings demonstrate that rotor design optimization and mitigation of nonstationary suction effects, coupled with climate-aware offline physics-based digital shadow operation, represent high-priority levers for improving efficiency and reducing energy penalties in field conditions; reliability implications require further validation against summer-season field measurements. Full article
Show Figures

Figure 1

25 pages, 3694 KB  
Article
Thermodynamic Analysis and Economic Evaluation of a CO2 Re-Liquefaction System Utilizing Cold Energy of Alternative Marine Fuels
by Jeongje Park, Yeeun Joo, Jungho Choi and Wongwan Jung
J. Mar. Sci. Eng. 2026, 14(7), 636; https://doi.org/10.3390/jmse14070636 - 30 Mar 2026
Viewed by 292
Abstract
This study proposes a CO2 re-liquefaction system utilizing the cold energy of LNG and liquid hydrogen (LH2) to efficiently manage boil-off gas in alternative fuel-based CO2 carriers. Process simulations using Aspen HYSYS V11 under 100% and 70% propulsion loads [...] Read more.
This study proposes a CO2 re-liquefaction system utilizing the cold energy of LNG and liquid hydrogen (LH2) to efficiently manage boil-off gas in alternative fuel-based CO2 carriers. Process simulations using Aspen HYSYS V11 under 100% and 70% propulsion loads evaluated the Specific Energy Consumption (SEC), Coefficient of Performance (COP), UA of heat exchangers, and Specific Life Cycle Cost (SLCC). The results demonstrate that under both 100% and 70% propulsion load conditions, the utilization of cold energy decreases the SEC by 24.5% and improves the COP by approximately 34% compared to the reference model without cold energy utilization. Sensitivity analysis on the minimum temperature approach indicates limited impact on performance. The UA of the heat exchangers decreased by up to 83% (LNG) and 87% (LH2), offering significant downsizing advantages. Economically, SLCC was reduced by up to 14.8% and 15.9% for the LNG and H2 models, respectively, due to lower Capital Expenditure (CAPEX) and Operating Expenditure (OPEX). Consequently, this study demonstrates that exploiting the cold energy of alternative fuels significantly improves both the thermodynamic performance and economic feasibility of CO2 re-liquefaction systems, providing foundational data for future optimization. Full article
Show Figures

Figure 1

20 pages, 2575 KB  
Article
Combustion and Power Generation Characteristics of a Thermoelectric Generator Fueled by Hydrogen-Enriched Compressed Natural Gas (HCNG)
by Changle Li, Xugang Wang, Chengdong Gu, Zhanming Zhang, Youqu Zheng and Liu Liu
Energies 2026, 19(7), 1604; https://doi.org/10.3390/en19071604 - 25 Mar 2026
Viewed by 283
Abstract
Hydrogen-enriched compressed natural gas (HCNG) is a promising transitional fuel for residential-scale distributed power, yet its impacts on direct-combustion thermoelectric generator (TEG) systems remain insufficiently quantified. In this study, a micro-scale TEG integrated with a commercially available self-aspirating household burner was experimentally investigated [...] Read more.
Hydrogen-enriched compressed natural gas (HCNG) is a promising transitional fuel for residential-scale distributed power, yet its impacts on direct-combustion thermoelectric generator (TEG) systems remain insufficiently quantified. In this study, a micro-scale TEG integrated with a commercially available self-aspirating household burner was experimentally investigated under thermal inputs of 700–2500 W and hydrogen blending ratios of 0–20 vol%, using open-loop water cooling to maximize heat rejection. The hot- and cold-side temperatures exhibited negligible variation with a hydrogen addition, and the maximum electrical output was essentially preserved across all blending ratios; at 2500 W the system delivered 75.8 W with a system efficiency of 3.03%. In contrast, hydrogen blending substantially reduced pollutant emissions: at 2500 W, CO decreased from 52.7 to 1 mg/m3 and CO2 from 6.73% to 5.36% as the hydrogen fraction increased from 0 to 20 vol%. Meanwhile, combustion stability improved, indicated by a reduced coefficient of variation (0.77% → 0.49%). These results demonstrate that up to 20 vol% hydrogen blending can achieve significant emissions mitigation without compromising TEG power performance, supporting HCNG-fueled TEGs as a practical option for residential backup power. Full article
(This article belongs to the Section J: Thermal Management)
Show Figures

Figure 1

17 pages, 11475 KB  
Article
Lipid Extraction and Cell Disruption Methods for Improving Biodiesel Production by Scenedesmus sp.
by Mᵃ Pilar Patón Raya, Mᵃ Lourdes Martínez Cartas and Sebastián Sánchez
Microorganisms 2026, 14(4), 731; https://doi.org/10.3390/microorganisms14040731 - 24 Mar 2026
Viewed by 276
Abstract
Lipid recovery efficiency from microalgal biomass is a critical factor in the commercial viability of biodiesel. Scenedesmus sp. presents a robust cell wall that necessitates the evaluation of specialised disruption techniques to enhance intracellular lipid release and subsequent fuel quality. This study [...] Read more.
Lipid recovery efficiency from microalgal biomass is a critical factor in the commercial viability of biodiesel. Scenedesmus sp. presents a robust cell wall that necessitates the evaluation of specialised disruption techniques to enhance intracellular lipid release and subsequent fuel quality. This study investigated the efficacy of five cell disruption methods—microwaves, ultrasonication, lyophilisation, autoclaving, and electroporation—integrated with three distinct extraction procedures: cold extraction, Soxhlet extraction system, and microwave-assisted extraction. The qualitative and quantitative impacts of these treatments were assessed by analysing the fatty acid methyl ester (FAME) profiles via gas chromatography (GC) following transesterification. The highest total lipid yield (88.97%) was achieved through a combination of microwave disruption and Soxhlet extraction. However, the maximal proportion of methyl esters was obtained when ultrasonication was paired with microwave-assisted extraction (97.64%). Surface analysis using scanning electron microscopy (SEM) of samples subjected to different disruption procedures could support the conclusions. Similarly, when the microalgal biomass was lyophilised beforehand, microwave extraction increased the oleic acid content. These results indicate that the choice of disruption and extraction protocols significantly influences both lipid recovery rate and the proportion of fatty acids in the chemical composition of microalgae. Tailoring these processes is essential for optimising the fatty acid profile for high-quality biodiesel production. Full article
Show Figures

Figure 1

16 pages, 2472 KB  
Article
Characteristics of Asphalt–Concrete Mixtures Produced by Hot Asphalt Recycling Using Thermal Energy from the Combustion of Waste Automobile Tires
by Andrey Akimov, Mikhail Lebedev, Valentina Yadykina, Natalia Kozhukhova and Marina Kozhukhova
J. Compos. Sci. 2026, 10(3), 160; https://doi.org/10.3390/jcs10030160 - 16 Mar 2026
Viewed by 414
Abstract
The use of resource-saving technology in road construction material production is a current problem, the solution of which will allow us to increase the environmental and economic efficiency of the road construction industry. Nowadays, secondary raw materials are widely used in highway construction, [...] Read more.
The use of resource-saving technology in road construction material production is a current problem, the solution of which will allow us to increase the environmental and economic efficiency of the road construction industry. Nowadays, secondary raw materials are widely used in highway construction, obtained both from the waste of old road construction materials and collected from other industries. During asphalt production, up to 90% of raw materials can be replaced by reclaimed asphalt pavement (RAP). This technology requires residual binder modification to reduce the negative impact on the technological and operational asphalt concrete properties. On the other hand, the use of rubber crumbs or granules obtained from the disposal of old car tires in asphalt–concrete mixtures is widespread. However, some types of car tires cannot be used as raw materials to produce an effective modifier. Truck tires and tires from special vehicles are suitable for use as a modifier for asphalt–concrete mixtures. Tires designed for passenger cars do not contain enough polymer. As an experiment on asphalt–concrete mixture production using secondary resources only, a testing facility was developed. The testing facility uses hot gas obtained by burning automobile tires in a special oven as a heat source. Rubber residues from the recycling of automobile tires are used as fuel, which cannot be used to produce rubber powder or granules. RAP obtained by cold milling of the pavements of city and public roads was used as the object of the research. When studying the characteristics of the asphalt–concrete-mixture-based binder, it was found that the sulfur compounds present in the composition of hot gases change the properties of the binder, leading to a serious deterioration in the technological characteristics of asphalt–concrete mixtures. The asphalt–concrete mixture obtained during RAP processing is characterized by a narrow temperature range in which it can be laid and compacted to the required density values. After laying the pavement, quality control revealed a significant variation (the number of air voids ranged from 0.8 to 5.5%) in the average density of samples taken from the compacted layer. In addition, there were significant violations of the longitudinal evenness of the finished coating. Experiments were carried out to extract the binder from asphalt–concrete mixtures before and after regeneration. The physico-mechanical and rheological characteristics were studied and qualitative analysis of the binder was realized by IR spectroscopy. The data obtained allow us to establish the mechanism of how sulfur-containing gases influence the bitumen binder’s properties in asphalt mixtures. Additionally, the features of thermo-oxidative degradation occurring during the hot recycling of asphalt–concrete mixtures were established. A justification is also given for the need to use anti-aging modifiers to restore the properties of the residual binder. Full article
(This article belongs to the Special Issue Advanced Asphalt Composite Materials)
Show Figures

Figure 1

33 pages, 4362 KB  
Article
Recovering LNG Cold Energy for Scavenging Air Cooling in a Natural Gas–Diesel Dual-Fuel Marine Engine System
by Van Chien Pham, Jeonghoon Shim, Jun-Soo Kim and Won-Ju Lee
Processes 2026, 14(6), 938; https://doi.org/10.3390/pr14060938 - 16 Mar 2026
Viewed by 420
Abstract
This study proposes a method to recover liquefied natural gas (LNG) cold energy from the fuel gas supply system (FGSS) of a two-stroke ME-GI dual-fuel (DF) marine engine to enhance energy utilization efficiency. LNG cold energy was employed to reduce the scavenging air [...] Read more.
This study proposes a method to recover liquefied natural gas (LNG) cold energy from the fuel gas supply system (FGSS) of a two-stroke ME-GI dual-fuel (DF) marine engine to enhance energy utilization efficiency. LNG cold energy was employed to reduce the scavenging air temperature (SAT) through a CaCl2-based secondary refrigerant loop integrated into the engine cooling system. Thermodynamic analysis showed that approximately 12.3% of the required scavenging air cooling heat flux can be recovered at full load. Transient crank-angle-resolved CFD simulations, validated against experimental data (maximum deviation < 8%), were conducted to evaluate combustion and emission impacts under varying SAT conditions. Reducing SAT from 37 °C to 17 °C in DF mode increased indicated mean effective pressure (IMEP) by approximately 3.8%, reduced specific gas consumption by 3.7%, and significantly decreased NO emissions by up to 36.5% and soot emissions by 47.6%, while CO2 emissions decreased by 1.8%. Considering both performance enhancement and emission reduction, operating the engine in DF mode with SAT controlled at approximately 17 °C is recommended. The proposed system demonstrates a practical pathway for improving thermal efficiency and reducing greenhouse gas (GHG) emissions in LNG-fueled marine propulsion systems. Full article
(This article belongs to the Special Issue Fluid Dynamics and Thermodynamic Studies in Gas Turbine)
Show Figures

Figure 1

15 pages, 1451 KB  
Article
Effects of Fruit Maturity Stage and Seed Storage Conditions on Germination and Endogenous ABA and GA Levels in Solanum torvum
by Priscilla Yaa Asantewaa Akonnor, Mavis Owusuaa Osei-Wusu and Kwadwo Ofori
Seeds 2026, 5(1), 13; https://doi.org/10.3390/seeds5010013 - 20 Feb 2026
Viewed by 645
Abstract
Solanum torvum is an important medicinal and culinary vegetable with poor seed propagation, characterized by low germination and limited seed longevity. This study examined the effects of fruit maturity stage, storage temperature, duration, and endogenous hormonal profiles on seed germination. Fruits were harvested [...] Read more.
Solanum torvum is an important medicinal and culinary vegetable with poor seed propagation, characterized by low germination and limited seed longevity. This study examined the effects of fruit maturity stage, storage temperature, duration, and endogenous hormonal profiles on seed germination. Fruits were harvested at three physiological maturity stages: matured green, ripe yellow, and overripe brown. Extracted seeds were stored in ambient (24–26 °C) and cold (3–8 °C) conditions for 24 weeks, with subsequent germination testing with 3 replicates per treatment. Endogenous abscisic acid (ABA) and gibberellic acid (GA) were quantified using HPLC-DAD to assess their association with germination behaviour. Seeds from ripe yellow fruits achieved the highest germination (95%), with a mean germination time of 12 days and a mean germination rate of 8%, identifying this stage as the optimal maturity stage for harvest. While total germination percentage was enhanced by an after-ripening effect during the first 16 weeks of ambient storage, other vigour parameters, including mean germination time and rate and synchronization began to decline thereafter. ABA and GA concentrations displayed treatment-dependent variation across maturity stages and storage conditions, with hormonal trends showing complex associations with dormancy release rather than consistent main effects. These findings indicate that harvesting Solanum torvum fruits at the ripe yellow stage and storing seeds under ambient conditions for up to 16 weeks, under the conditions evaluated in this study, provides a practical balance between dormancy alleviation and seed vigour, thereby improving short-term propagation efficiency. Full article
Show Figures

Figure 1

31 pages, 4057 KB  
Article
Cold Start Optimization Study of PEMFC Low Temperature Coolant-Assisted Heating Based on CAB-Net and LO-WOA
by Xinshu Yu, Jingyi Zhang, Jie Zhang, Sihan Chen, Yifan Lu and Dongji Xuan
Hydrogen 2026, 7(1), 24; https://doi.org/10.3390/hydrogen7010024 - 6 Feb 2026
Viewed by 542
Abstract
Proton Exchange Membrane Fuel Cells (PEMFCs) are highly valued for their zero emissions, low noise, and environmentally friendly characteristics. However, they face substantial difficulties when starting up in low-temperature conditions. Coolant-assisted heating is usually more effective than other methods because of its fast [...] Read more.
Proton Exchange Membrane Fuel Cells (PEMFCs) are highly valued for their zero emissions, low noise, and environmentally friendly characteristics. However, they face substantial difficulties when starting up in low-temperature conditions. Coolant-assisted heating is usually more effective than other methods because of its fast speed, high heat transfer efficiency, and simple structure. This study developed a three-dimensional multiphase non-isothermal PEMFC cold start model with coolant-assisted heating. Key parameters, including heat consumption rate, coolant flow rate, load current slope, initial membrane water content, catalyst layer porosity, and gas diffusion layer porosity, were selected as optimization variables. A Convolutional Neural Network–Attention Mechanism–Bidirectional Long Short-Term Memory Neural Network (CAB-Net) was employed as a surrogate model to predict the ice volume fraction during the cold start process. The CAB-Net model was further integrated with the Lexicographic Ordered Whale Optimization Algorithm (LO-WOA) to identify the optimal combination of parameters. The optimization aimed to minimize the maximum ice volume fraction (MIVF) in the Cathode Catalyst Layer (CCL) and reduce the energy consumption required to reach this fraction. The optimization results revealed that, compared to the baseline model (MIVF = 0.4519, energy consumption = 0.77264 J), the MIVF was reduced to 0.1471, representing a 67.45% decrease, while energy consumption was reduced to 0.70299 J, achieving a 9.01% decrease. The results underscore the efficacy of the proposed strategy in enhancing cold start performance under low-temperature conditions. Full article
(This article belongs to the Special Issue Hydrogen and Fuel Cell Technologies: A Clean Energy Pathway)
Show Figures

Figure 1

19 pages, 1334 KB  
Article
Simulation and Optimisation of Hydrogen Production from Biogas via Steam–Methane Reforming and Cryogenic Liquefaction Using DWSIM
by Chandra Sekhar, Atena S. Farahani, Mahmoud A. Khader, Christos Kalyvas and Mahmoud Chizari
Processes 2026, 14(3), 532; https://doi.org/10.3390/pr14030532 - 3 Feb 2026
Viewed by 747
Abstract
This study presents an integrated, open-source process simulation for converting agricultural biogas into high-purity liquid hydrogen using DWSIM (Distillation, Water, Separation and Inorganic Modules), an open-source sequential-modular simulator. The model simulates a farm-scale biogas feed and is optimised to enhance liquid hydrogen yield [...] Read more.
This study presents an integrated, open-source process simulation for converting agricultural biogas into high-purity liquid hydrogen using DWSIM (Distillation, Water, Separation and Inorganic Modules), an open-source sequential-modular simulator. The model simulates a farm-scale biogas feed and is optimised to enhance liquid hydrogen yield while reducing specific energy consumption under set operating conditions. The proposed model links biogas upgrading via dual pressure swing adsorption, steam–methane reforming, two-stage water–gas shift, hydrogen purification, and cryogenic liquefaction within a single optimisation framework. Using a representative farm-scale feed (103.7 kg h−1 biogas containing 60 mol% CH4), the optimised process produces 16.5 kg h−1 of liquid hydrogen with 99.2% para-hydrogen purity while simultaneously capturing 104 kg h−1 of CO2 at 98% purity and 16 bar. Optimal operating conditions include SMR at 909 °C and 16 bar with a steam-to-carbon ratio of 3.0, followed by high- and low-temperature water–gas shifts at 413 °C and 210 °C, respectively. The overall cold-gas efficiency (LHV basis, excluding liquefaction electricity) reaches 78%, and the specific electricity demand for liquefaction is 32.4 kWh per kg of liquid hydrogen, which is consistent with reported values for small-scale hydrogen liquefiers. Sensitivity analysis over a methane content range of 40–75% confirms near-linear scalability of hydrogen output (R2 = 0.998), demonstrating feedstock flexibility without re-parameterisation. The developed process in this work provides a transparent and extensible digital twin for early-stage design and optimisation of decentralised biogas-to-hydrogen systems. Using the open-source DWSIM platform ensures full transparency, reproducibility, and accessibility compared with proprietary simulators. Full article
(This article belongs to the Special Issue Insights into Hydrogen Production Using Solar Energy)
Show Figures

Figure 1

24 pages, 3245 KB  
Article
Experimental Data-Driven Machine Learning Analysis for Prediction of PCM Charging and Discharging Behavior in Portable Cold Storage Systems
by Raju R. Yenare, Chandrakant Sonawane, Anindita Roy and Stefano Landini
Sustainability 2026, 18(3), 1467; https://doi.org/10.3390/su18031467 - 2 Feb 2026
Viewed by 464
Abstract
The problem of the post-harvest loss of perishable products has been a loss facing food security, especially in areas that lack adequate cold chain facilities. This issue is directly connected with sustainability objectives because post-harvest losses are the major source of food wastage, [...] Read more.
The problem of the post-harvest loss of perishable products has been a loss facing food security, especially in areas that lack adequate cold chain facilities. This issue is directly connected with sustainability objectives because post-harvest losses are the major source of food wastage, unneeded energy use, and related greenhouse gas emissions. Cold storage with phase-change material (PCM) is a promising alternative, as it aims at stabilizing temperatures and enhancing energy consumption, but current analyses of performance have been conducted through experimental testing and computational fluid dynamic (CFD) simulations, which are precise but computationally expensive. To handle this drawback, the current work constructs a machine learning predictive model to predict the dynamics of charging and discharging temperature of PCM cold storage systems. Four regression models, namely Random Forest, Extreme Gradient Boosting (XGBoost), Support Vector Regression (SVR), and K-Nearest Neighbors (KNNs), were trained and tested on experimental datasets that were obtained for varying storage layouts. The various error and accuracy measures used to determine model performance comprised MSE, MAE, R2, MAPE, and percentage accuracy. The findings suggest that Random Forest provides the best accuracy during both the charging and the discharging process, with the highest R2 values of over 0.98 and with minimal mean absolute errors. The KNN model was competitive in the discharge process, especially in cases of consistent thermal recovery patterns, and XGBoost was consistent in layout accuracy. However, SVR had relatively lower robustness, particularly when using nonlinear charged dynamics. Among the evaluated models, the Random Forest algorithm demonstrated the highest predictive accuracy, achieving coefficients of determination (R2) exceeding 0.98 for both charging and discharging processes, with mean absolute errors below 0.6 °C during charging and 0.3 °C during discharging. This paper has proven that machine learning is an efficient surrogate to CFD and experimental-only methods and can be used to predict the thermal behavior of PCM quickly and precisely. The proposed framework will allow for developing cold storage systems based on energy efficiency, low costs, and sustainability, especially in the context of decentralized and resource-limited agricultural supply chains, with the help of quick and data-focused forecasting of PCM thermal behavior. Full article
Show Figures

Figure 1

28 pages, 3616 KB  
Article
Optimization of Cryogenic Gas Separation Systems Based on Exergetic Analysis—The Claude–Heylandt Cycle for Oxygen Separation
by Dănuț-Cristian Urduza, Lavinia Grosu, Alexandru Serban, Adalia Andreea Percembli (Chelmuș) and Alexandru Dobrovicescu
Entropy 2026, 28(1), 125; https://doi.org/10.3390/e28010125 - 21 Jan 2026
Viewed by 327
Abstract
In cryogenic air liquefaction systems, a major share of the mechanical energy consumption is associated with exergy destruction caused by heat transfer in recuperative heat exchangers. This study investigated the exergetic optimization of cryogenic gas separation systems by focusing on the Claude–Heylandt cycle [...] Read more.
In cryogenic air liquefaction systems, a major share of the mechanical energy consumption is associated with exergy destruction caused by heat transfer in recuperative heat exchangers. This study investigated the exergetic optimization of cryogenic gas separation systems by focusing on the Claude–Heylandt cycle as an advanced structural modification of the classical Linde–Hampson scheme. An exergy-based analysis demonstrates that minimizing mechanical energy consumption requires a progressive reduction in the temperature difference between the hot forward stream and the cold returning stream toward the cold end of the heat exchanger. This condition was achieved by extracting a fraction of the high-pressure stream and expanding it in a parallel expander, thereby creating a controlled imbalance in the heat capacities between the two streams. The proposed configuration reduces the share of exergy destruction associated with heat transfer in the recuperative heat exchanger from 14% to 3.5%, leading to a fourfold increase in the exergetic efficiency, together with a 3.6-fold increase in the liquefied air fraction compared with the Linde–Hampson cycle operating under identical conditions. The effects of key decision parameters, including the compression pressure, imposed temperature differences, and expander inlet temperature, were systematically analyzed. The study was further extended by integrating an air separation column into the Claude–Heylandt cycle and optimizing its configuration based on entropy generation minimization. The optimal liquid-air feeding height and threshold number of rectification trays were identified, beyond which further structural complexity yielded no thermodynamic benefit. The results highlight the effectiveness of exergy-based optimization as a unified design criterion for both cryogenic liquefaction and separation processes. Full article
(This article belongs to the Special Issue Thermodynamic Optimization of Industrial Energy Systems, 2nd Edition)
Show Figures

Figure 1

16 pages, 1927 KB  
Article
Methanotrophic Poly(hydroxybutyrate) Through C1 Fermentation and Downstream Process Development: Molar Mass, Thermal and Mechanical Characterization
by Maximilian Lackner, Ľubomíra Jurečková, Daniela Chmelová, Miroslav Ondrejovič, Katarína Borská, Anna Vykydalová, Michaela Sedničková, Hamed Peidayesh, Ivan Chodák and Martin Danko
Polymers 2026, 18(2), 248; https://doi.org/10.3390/polym18020248 - 16 Jan 2026
Viewed by 455
Abstract
Today, PHB and its copolymers—potential plastic substitutes—are produced by fermenting sugar, which is not scalable to the volumes of plastic consumption. PHB from CH4 can offer a sustainable process route, with CH4 potentially produced from a variety of waste biomass streams [...] Read more.
Today, PHB and its copolymers—potential plastic substitutes—are produced by fermenting sugar, which is not scalable to the volumes of plastic consumption. PHB from CH4 can offer a sustainable process route, with CH4 potentially produced from a variety of waste biomass streams through anaerobic digestion, gasification, and methanation. The high molar mass (Mw) of PHB is a key determinant of its mechanical properties, and strain, culture conditions and downstream processing influence it. In this work, the strain Methylocystis sp. GB 25 (DSMZ 7674) was grown on natural gas as the sole carbon and energy source and air (1:1) in a loop reactor with 350 L active fermentation volume, at 35 °C and ambient pressure. After two days of continuous growth, the bacteria were limited in P and N for 1, 2, and 2.5 days to determine the optimal conditions for PHB accumulation and the highest Mw as the target. The biomass was then centrifuged and spray-dried. For downstream processing, chloroform solvent extraction and selected enzymatic treatment were deployed, yielding ~40% PHB from the biomass. The PHB obtained by solvent extraction exhibited high average weight molar masses of Mw ~1.1–1.5 × 106 g mol−1. The highest Mw was obtained after one day of limitation, whereas enzyme treatment resulted in partially degraded PHB. Cold chloroform maceration, interesting due to energy savings, did not achieve sufficient extraction efficiency because it was unable to extract high-molar-mass PHB fractions. The extracted PHB has a high molar mass, more than double that of standard commercial PHB, and was characterized by DSC, which showed a high degree of crystallinity of up to 70% with a melting temperature of close to 180 °C. Mechanical tensile properties measurements, as well as dynamic mechanical thermal analysis (DMTA), were performed. Degradation of the PHB by enzymes was also determined. Methanotrophic PHB is a promising bioplastics material. The high Mw can limit and delay polymer degradation in practical processing steps, making the material more versatile and robust. Full article
(This article belongs to the Section Biobased and Biodegradable Polymers)
Show Figures

Figure 1

33 pages, 1298 KB  
Review
Edible Coatings for Fresh Fruits: Functional Roles, Optimization Strategies, and Analytical Perspectives
by Siphumle Owen Jama, Robert Lufu, Umezuruike Linus Opara, Elke Crouch and Alemayehu Ambaw Tsige
Plants 2026, 15(1), 132; https://doi.org/10.3390/plants15010132 - 2 Jan 2026
Cited by 3 | Viewed by 1006
Abstract
Fresh fruits are inherently prone to postharvest deterioration due to loss of moisture, respiration, mechanical damage, and microbial decay, making quality preservation a persistent challenge across fresh fruit supply chains. While conventional plastic packaging offers barrier protection and cost-efficiency, its environmental footprint, particularly [...] Read more.
Fresh fruits are inherently prone to postharvest deterioration due to loss of moisture, respiration, mechanical damage, and microbial decay, making quality preservation a persistent challenge across fresh fruit supply chains. While conventional plastic packaging offers barrier protection and cost-efficiency, its environmental footprint, particularly poor biodegradability and increasing incidence of plastic waste necessitates a transition toward more sustainable alternatives. Among these, the use of edible coatings, primarily based on natural biopolymers, have emerged as a versatile strategy capable of modulating transpiration, gas exchange, microbial activity, and sensory quality while addressing environmental concerns. Unlike biodegradable plastic films, edible coatings directly interface with the fruit surface and offer multifunctional roles extending beyond passive protection. This review synthesizes recent advances in edible coatings for fresh fruits, with emphasis on material classes, functional performance, optimization strategies, and analytical evaluation methods. Key findings indicate that polysaccharide-based coatings provide adequate gas permeability but limited moisture resistance, while nanocomposite and multi-component systems enhance water-vapor barrier performance without compromising respiration compatibility. Incorporation of bioactive agents such as essential oils, nanoparticles, and plant extracts further extends shelf life through antimicrobial and antioxidant mechanisms, though formulation trade-offs and sensory constraints persist. The review also highlights critical limitations, including variability in barrier and mechanical properties, challenges in industrial-scale application, insufficient long-term validation under commercial cold-chain conditions, and regulatory uncertainty for active formulations. Future research priorities are identified, including mechanistic transport–physiology integration, standardized performance metrics, scalable application technologies, and life-cycle-informed material design. Addressing these gaps is essential for transitioning edible coatings from experimental sustainability concepts to robust, function-driven solutions for fresh-fruit preservation. Full article
(This article belongs to the Special Issue Postharvest and Storage of Horticultural Plants)
Show Figures

Figure 1

13 pages, 1583 KB  
Article
Co-Gasification of Bio-Oil and Black Liquor as Renewable Gasification Feedstocks
by Jae Gyu Hwang, Seong Wan Hong, Myung Kyu Choi and Hang Seok Choi
Appl. Sci. 2026, 16(1), 359; https://doi.org/10.3390/app16010359 - 29 Dec 2025
Viewed by 359
Abstract
The co-gasification of bio-oil produced via fast pyrolysis and black liquor from the pulp industry may yield a valuable feedstock for renewable gasification. This study investigated the synergistic potential of this co-gasification process. Experiments were conducted in a miniature conical spouted-bed reactor at [...] Read more.
The co-gasification of bio-oil produced via fast pyrolysis and black liquor from the pulp industry may yield a valuable feedstock for renewable gasification. This study investigated the synergistic potential of this co-gasification process. Experiments were conducted in a miniature conical spouted-bed reactor at 800 °C using bio-oil/black liquor mixing ratios ranging from 1:9 to 9:1 under equivalence ratios (ER) of 0.1, 0.3, and 0.5. Syngas characteristics and gasification performance were assessed using the lower heating value (LHV), H2/CO ratio, cold gas efficiency (CGE), and carbon conversion ratio (CCR). Increasing the bio-oil fraction increased CO and CH4 concentrations due to its higher carbon content and lower moisture content, whereas black liquor promoted H2 formation through moisture-driven water–gas shift reactions. Higher ER values intensified combustion, increasing CO2 while reducing combustible gases. The most energy-rich syngas, with the highest LHV and CGE, was obtained using a 9:1 mixture at ER = 0.1. The CCR was greatest for pure bio-oil and the 5:5 ratio among mixtures, reflecting the catalytic effects of alkali species in black liquor. These results demonstrate that co-gasification can improve syngas quality and carbon utilization, with optimal performance depending on the intended application. Full article
Show Figures

Figure 1

39 pages, 2777 KB  
Review
Challenges and Innovations in Liquefied Gases and Cryogenic Tanks: A Comprehensive Review
by Marian-Cristian Staicu, Nicoleta Lucica Bogatu, Viorica Ghisman and Daniela Laura Buruiana
Technologies 2026, 14(1), 19; https://doi.org/10.3390/technologies14010019 - 26 Dec 2025
Viewed by 1519
Abstract
Cryogenic technologies are a crucial field of modern engineering, with applications in liquefied gas transport, renewable energy, aerospace, and high-precision medicine. Their advancement relies heavily on the performance and reliability of cryogenic tanks, which ensure the safe storage and handling of fluids at [...] Read more.
Cryogenic technologies are a crucial field of modern engineering, with applications in liquefied gas transport, renewable energy, aerospace, and high-precision medicine. Their advancement relies heavily on the performance and reliability of cryogenic tanks, which ensure the safe storage and handling of fluids at extremely low temperatures. This paper presents a concise review of recent engineering innovations, focusing on fluid behavior in single- and two-phase regimes, boil-off mechanisms, advanced thermal insulation, and energy loss control strategies. Recent numerical and experimental studies indicate that optimized insulation configurations, such as the placement of a low-emissivity intermediate layer near the cold wall, can reduce radiative heat loads by approximately 40–60%, thereby significantly mitigating cryogenic liquid boil-off. Developments in structural materials, functional coatings, and numerical simulations are also discussed, as they contribute to enhancing tank efficiency under demanding operational conditions. Particular emphasis is placed on material selection and surface engineering solutions aimed at reducing corrosion, improving cryogenic resistance, and extending service life. These approaches not only lower maintenance costs but also strengthen safety and sustainability in cryogenic applications. In addition, current industry trends are highlighted, including equipment miniaturization, integration into mobile platforms, and the adoption of international standards for safety and efficiency. The paper aims to provide an interdisciplinary synthesis that supports both academic research and the development of durable, high-performance cryogenic systems. Full article
(This article belongs to the Section Manufacturing Technology)
Show Figures

Graphical abstract

Back to TopTop