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Keywords = mass transfer parameter

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22 pages, 5014 KB  
Review
Progress on Physical Processes for Boiler Feedwater Deoxygenation
by Binglin Li, Andong Jian, Jiayu Lu and Jiaxi Lv
Membranes 2026, 16(7), 244; https://doi.org/10.3390/membranes16070244 - 17 Jul 2026
Abstract
With the expansion of thermal power units and higher operating parameters, oxygen corrosion in boiler feedwater has become increasingly serious. Traditional methods such as thermal, stripping, and vacuum deaeration are mature but limited by energy consumption, system complexity, and adaptability. In contrast, membrane [...] Read more.
With the expansion of thermal power units and higher operating parameters, oxygen corrosion in boiler feedwater has become increasingly serious. Traditional methods such as thermal, stripping, and vacuum deaeration are mature but limited by energy consumption, system complexity, and adaptability. In contrast, membrane deaeration has emerged as a promising alternative due to its energy efficiency, compact design, and superior adaptability. Recent advances in membrane materials and module configurations have enabled efficient dissolved oxygen removal to ppb levels under mild operating conditions. This review summarizes the mechanisms, equipment, and application features of conventional methods, and outlines progress in membrane deaeration regarding mass transfer, module design, and process integration. Future development will focus on multi-technology coupling, mass transfer intensification, and intelligent control to achieve ppb-level oxygen removal. Full article
(This article belongs to the Section Membrane Applications for Water Treatment)
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21 pages, 3147 KB  
Article
Energy-Efficient Dehumidification for Greenhouse Buildings via Subcooling Regulation Strategies in Thermoelectric Systems
by Shifeng Yan, Shuting Yang, Guangming Xu, Haoxiang Zhan, Wenzhong Guo and Changfu Zhang
Buildings 2026, 16(14), 2832; https://doi.org/10.3390/buildings16142832 - 16 Jul 2026
Abstract
To investigate the influence of fin–wall subcooling regulation on moist-air condensation dehumidification, this study numerically investigates the dehumidification performance and energy response of a thermoelectric cooling system under three subcooling control strategies: gradient subcooling, frequency-modulated subcooling, and amplitude-modulated subcooling. Under strictly identical gas-phase [...] Read more.
To investigate the influence of fin–wall subcooling regulation on moist-air condensation dehumidification, this study numerically investigates the dehumidification performance and energy response of a thermoelectric cooling system under three subcooling control strategies: gradient subcooling, frequency-modulated subcooling, and amplitude-modulated subcooling. Under strictly identical gas-phase parameters and geometric conditions, the moisture removal rate per unit area, the friction-mass-transfer factor, and the moisture-removal energy efficiency are adopted as evaluation indicators. The results show that gradient subcooling exerts a pronounced non-monotonic influence on dehumidification performance, with an optimal subcooling range around 32–33 K. Further increases in subcooling lead to reduced dehumidification performance accompanied by significantly increased energy-related indicators, indicating a transition toward a high-energy, low-benefit operating regime. Compared with gradient subcooling, frequency-modulated subcooling provides a more favorable balance between dehumidification performance and energy efficiency under relatively high subcooling conditions, demonstrating a clear frequency–subcooling coupling effect. In contrast, amplitude-modulated subcooling plays only a secondary role and shows limited influence on both dehumidification performance and energy-related indicators within the investigated parameter range. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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16 pages, 3610 KB  
Article
Carbonation Behavior and Pore-Microstructure Evolution of Press-Formed BOF Slag Leaching Residue Briquettes
by Jianbao Zhang, Linfei Li, Junguo Li, Xuan Guo, Yitong Wang, Yanan Zeng and Yajun Wang
Processes 2026, 14(14), 2314; https://doi.org/10.3390/pr14142314 - 16 Jul 2026
Abstract
To achieve the stabilization and high-value utilization of Basic oxygen furnace (BOF) slag leaching residues, this study proposes a synergistic strategy combining compaction and pressurized carbonation. The effects of moisture content, molding pressure, holding time, and carbonation duration on the carbonation efficiency, mechanical [...] Read more.
To achieve the stabilization and high-value utilization of Basic oxygen furnace (BOF) slag leaching residues, this study proposes a synergistic strategy combining compaction and pressurized carbonation. The effects of moisture content, molding pressure, holding time, and carbonation duration on the carbonation efficiency, mechanical properties, and surface characteristics of the residue briquettes were systematically investigated. Using a combination of orthogonal and single-factor experiments with the carbonation weight gain rate as the primary indicator, this study reveals the intrinsic mechanism by which forming parameters regulate CO2 mass transfer and reaction efficiency through pore structure modification. The results indicate that moisture content is the dominant factor influencing carbonation efficiency, with an optimal moisture range achieving a balance between reaction kinetics and gas diffusion. Furthermore, molding pressure and holding time dictate the effective carbonation depth by altering the pore size distribution. The carbonation process significantly enhances the compressive strength of the specimens, reduces the surface pH from 12.45 to approximately 10.2, and decreases surface roughness, thereby improving environmental compatibility. These findings provide a theoretical foundation for the high-value application of leached steel slag in marine ecological materials and carbon sequestration. Full article
(This article belongs to the Special Issue Recycling and Value-Added Utilization of Secondary Resources)
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22 pages, 6252 KB  
Article
Stability Assessment of Volcanic Lava Tubes Using Engineering Rock Mass Classifications and an Empirical Approach
by Abdelmadjid Benrabah, Salvador Senent Domínguez and Luis Jorda-Bordehore
Geosciences 2026, 16(7), 289; https://doi.org/10.3390/geosciences16070289 - 15 Jul 2026
Viewed by 68
Abstract
Volcanic caves, commonly referred to as lava tubes, are typically shallow subsurface cavities formed by the cooling of a generally basaltic lava flow under a roof or crust that cools faster and acts as a thermal insulator. These cavities can serve as tourist [...] Read more.
Volcanic caves, commonly referred to as lava tubes, are typically shallow subsurface cavities formed by the cooling of a generally basaltic lava flow under a roof or crust that cools faster and acts as a thermal insulator. These cavities can serve as tourist attractions, in which case their stability must be analyzed and ensured. Empirical rock mass classification systems, in this case we have applied the Q-index have been employed to evaluate the stability of underground excavations: mines and tunnels, including natural caves. We have identified that these approaches have limitations, particularly incorporating key geometric parameters such as roof thickness and cave length. In this study we have analyzed applicability of the Scaled Span Method (SSM) to volcanics caves. This method was originally developed for the stability assessment of crown pillar stability in shallow mines. We have developed a dataset of lava tubes (caves) located in the Canary Islands (Spain), the Galápagos Islands (Ecuador), and Jordan. In this research we have conducted geomechanical characterization using the Q-system, and also the Scaled Span to evaluate stability based on cave geometry and rock mass properties. The results indicate that, in general, the SSM yields more conservative stability estimates compared to the Q-system, particularly for shallow caves with limited roof thickness. Nevertheless, discrepancies between the two approaches are observed in several cases, highlighting the limitations of directly transferring empirical methods developed for mining excavations to natural cave systems. These differences underscore the need for careful interpretation and, where appropriate, complementary stability analyses. The Scaled Span Method is useful for preliminary assessment of volcanic cave stability, especially in scenarios where potential interaction with the ground surface is expected: buildings or roads on top. However, its application requires adaptation and critical evaluation due to the fundamental differences between engineered mining excavations and natural subsurface cavities. Full article
(This article belongs to the Section Geomechanics)
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28 pages, 16046 KB  
Review
Recent Advances in Molecularly Imprinted Membranes: Structure–Activity Relationships, Morphology Control, and Separation Applications
by Xuanxu Shi, Jiaqi Jiang, Wanqi Du, Maobin Wei and Minjia Meng
Molecules 2026, 31(14), 2479; https://doi.org/10.3390/molecules31142479 - 15 Jul 2026
Viewed by 78
Abstract
Molecularly imprinted membranes (MIMs) have demonstrated tremendous potential in the field of high-efficiency separation due to their specific molecular recognition capabilities. This review aims to elucidate the underlying mechanisms governing MIMs’ performance and, moving beyond traditional classification frameworks, systematically reconstructs the classification system [...] Read more.
Molecularly imprinted membranes (MIMs) have demonstrated tremendous potential in the field of high-efficiency separation due to their specific molecular recognition capabilities. This review aims to elucidate the underlying mechanisms governing MIMs’ performance and, moving beyond traditional classification frameworks, systematically reconstructs the classification system for MIMs from the perspectives of the spatial distribution of imprinted sites, the chemical topology of the matrix, and mass transfer kinetics. The article focuses on the decisive influence of key physical parameters such as pore size, specific surface area, hydrophilicity/hydrophobicity, and swellability on separation efficiency. It provides an in-depth analysis of the spatial matching between pore size and target molecules, the nonlinear relationship between specific surface area and adsorption capacity, and the mechanisms by which mechanical strength and swelling behavior constrain the long-term stability of the membranes. Addressing the common bottlenecks faced by MIMs “high mass transfer resistance and poor accessibility of recognition sites” this paper critically summarizes cutting-edge morphological optimization strategies, such as multi-level pore construction, nanocomposite reinforcement, and surface topological engineering, aiming to elucidate how microstructural regulation can achieve a synergistic enhancement of both high throughput and high selectivity. Finally, by reviewing breakthroughs in MIMs applications for biomedical extraction and environmental pollutant remediation, this review not only clarifies the principles governing material suitability across different scenarios but also provides a systematic technical reference for the development of next-generation, high-performance, industrial-scale MIMs. Full article
(This article belongs to the Special Issue Advanced Membrane Materials for Water Treatment)
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15 pages, 7129 KB  
Article
Design and Simulation of a Mass Sensor Using Nanoscale Hf0.5Zr0.5O2 Piezoelectric Membranes with Loading Platform
by Zhicong Li, Haoqi Lyu, Jiahui Xie, Wuhao Yang, Zhuohui Liu, Zhenxiang Qi, Kunfeng Wang, Chen Ge and Xudong Zou
Nanomaterials 2026, 16(14), 862; https://doi.org/10.3390/nano16140862 - 13 Jul 2026
Viewed by 203
Abstract
Resonant mass sensors based on micro/nanoelectromechanical systems (MEMS/NEMS) offer a promising approach for label-free gravimetric detection. However, practical applications often require not only high sensitivity but also improved loading repeatability and reduced dependence on mass loading position. In this work, a suspended resonant [...] Read more.
Resonant mass sensors based on micro/nanoelectromechanical systems (MEMS/NEMS) offer a promising approach for label-free gravimetric detection. However, practical applications often require not only high sensitivity but also improved loading repeatability and reduced dependence on mass loading position. In this work, a suspended resonant mass sensor based on a 10 nm-thick Hf0.5Zr0.5O2 (HZO) piezoelectric film is proposed. A central silicon loading platform is introduced to provide a mechanically robust and spatially uniform sensing region. A Kirchhoff plate model incorporating residual stress is established to analyze the effects of residual stress and platform geometry on the resonant characteristics. The device is fabricated by combining SOI micromachining with wet transfer of the ultrathin HZO film. Laser Doppler vibrometry measurements show a first-order resonant frequency of 1.303 MHz and a quality factor of 342, corresponding to an extracted residual stress of approximately 1.319 GPa. Finite element simulations calibrated by experimental parameters indicate a uniform first-mode displacement distribution and a linear frequency response to added mass from 0 to 1 ng. The obtained mass sensitivities are 150.7 Hz/pg and 166.8 Hz/pg from finite element and analytical models, respectively. The proposed structure provides a feasible route toward repeatable pg-level resonant mass sensing based on ultrathin piezoelectric films. Full article
(This article belongs to the Special Issue HfO2-Based Ferroelectric Thin Films and Devices)
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15 pages, 6398 KB  
Article
Modeling and Experimental Evaluation of Fixed-Bed Convective Drying of Composite Peat-Coal Fuel Pellets
by Amangeldy Karmanov, Andrey Mitrofanov, Alexandr Nikiforov, Akmaral Kinzhibekova, Evgeniy Prikhodko, Nazgul Aripova, Zhanar Tulebayeva and Vladimir Adadurov
Appl. Sci. 2026, 16(14), 6976; https://doi.org/10.3390/app16146976 - 11 Jul 2026
Viewed by 216
Abstract
Drying of fragile granules of bulk materials has to be carried out in a fixed bed to prevent particle damage. This way of drying protects the granules, but the lack of mixing of the particles leads to an uneven distribution of heat and [...] Read more.
Drying of fragile granules of bulk materials has to be carried out in a fixed bed to prevent particle damage. This way of drying protects the granules, but the lack of mixing of the particles leads to an uneven distribution of heat and mass transfer conditions in the bed. It is necessary to be able to predict the distribution of drying conditions inside the bed to select a rational drying mode. In this paper, a mathematical model for drying bulk media in a fixed bed is proposed, its parametric identification is carried out, and the model is verified by comparison with experimental results. The numerical model is based on explicit difference schemes using the mathematical apparatus of Markov chains. The experimental study was carried out on a laboratory dryer with the detection of local drying parameters according to the height of the fixed bed. The numerical and experimental results were obtained at the fixed temperature (90 °C) and gas velocity (0.5 m∙s−1). It has been shown that at a certain bed height, areas with relative gas humidity above 100% are formed within it, which negatively affects the efficiency of the drying. The proposed model allows identifying the indicated ineffective drying modes, and has proven to be a reliable tool for predicting the moisture ratio of the material with an MAPE of less than 7%. Full article
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19 pages, 3540 KB  
Article
Rock Density Model of Ethiopia and Its Implications for Gravimetric Geodesy and Geophysics
by Natnael Agegnehu Ayele, Robert Tenzer, Franck Eitel Kemgang Ghomsi, Andenet Ashagrie Gedamu and Muralitharan Jothimani
Geomatics 2026, 6(4), 76; https://doi.org/10.3390/geomatics6040076 - 9 Jul 2026
Viewed by 161
Abstract
Robust and accurate lithological parameters are essential in engineering, geology, geophysics, geodesy, and resource exploration. Among these parameters, rock density plays a fundamental role in gravimetric geodesy and geophysics. However, the systematic collection, analysis, and categorization of rock density data remain insufficient in [...] Read more.
Robust and accurate lithological parameters are essential in engineering, geology, geophysics, geodesy, and resource exploration. Among these parameters, rock density plays a fundamental role in gravimetric geodesy and geophysics. However, the systematic collection, analysis, and categorization of rock density data remain insufficient in many countries around the world, including Ethiopia. Ethiopia is characterized by extreme topographic variations (exceeding 4500 m) and complex geology, dominated by Cenozoic volcanic formations associated with the East African Rift System. Consequently, the commonly adopted upper continental crustal density of 2670 kg/m3 is inadequate for precise geodetic applications (e.g., the definition and realization of the geodetic vertical datum) as well as for gravimetric modeling and interpretation (e.g., the compilation of Bouguer, isostatic, and mantle gravity maps) in the country. To address these limitations, we prepared the first comprehensive digital rock density model of Ethiopia, with a particular focus on its applications in gravimetric geodesy and geophysics. The rock density model has been prepared by integrating the Ethiopian geological database, comprising 88 lithological units, with established global rock-density databases to assign representative density values and their uncertainties to each geological unit. The height-weighted average densities, accounting for the mass contribution of elevated terrain, were computed from a 90-m-resolution digital elevation model. The rock density map shows significant density variations across Ethiopia, ranging from 1528 to 2892 kg/m3. The average height-weighted density of Ethiopia is 2430 ± 352 kg/m3, which is 9% lower than the standard density of 2670 kg/m3. We expect that the use of the rock density model instead of assuming only a constant density value for the whole country will improve the accuracy of gravimetric geoid modeling and orthometric height determination, both essential for the modernization of the geodetic vertical datum. This demonstrates the necessity of region-specific density models for countries in tectonically active and/or geologically complex settings. The study also provides a transferable methodological framework for developing similar products in other data-sparse regions. Full article
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23 pages, 2558 KB  
Article
Convective Drying of Avocado Seeds: Mass Transfer Thermodynamics and Multi-Response Optimization of Functional and Phytochemical Properties
by Mayra Deyanira Ramírez-Aguirre, Ricardo de Jesús Montiel-López, Tomás García-Cayuela, Viridiana Tejada-Ortigoza, Veronica Rodriguez-Martinez and Luis Eduardo Garcia-Amezquita
Foods 2026, 15(14), 2438; https://doi.org/10.3390/foods15142438 - 9 Jul 2026
Viewed by 225
Abstract
Avocado seeds represent an underutilized agro-industrial by-product rich in dietary fiber and bioactive compounds. This study evaluated the impact of convective drying (45–75 °C, 3–9 mm thickness, 0.5–2.5 m s−1 air velocity) on the mass transfer kinetics, techno-functional properties, and phytochemical stability [...] Read more.
Avocado seeds represent an underutilized agro-industrial by-product rich in dietary fiber and bioactive compounds. This study evaluated the impact of convective drying (45–75 °C, 3–9 mm thickness, 0.5–2.5 m s−1 air velocity) on the mass transfer kinetics, techno-functional properties, and phytochemical stability of the seed matrix. The Midilli model accurately described dehydration kinetics, with effective diffusivities around 10−9 m2 s−1. Principal Component Analysis of the evaluated parameters revealed trade-offs between drying efficiency and phytochemical preservation. While the lignocellulosic fiber matrix remained relatively stable, preserving its hydration and oil retention capacities independently of thermal severity, prolonged processing times resulted in lower phenolic acid content and promoted non-enzymatic browning. Crucially, high air velocities were associated with higher retention of thermolabile bioactives, potentially due to accelerated moisture removal and shorter cumulative thermal exposure. A multi-response desirability approach established three optimized processing scenarios, yielding a phytochemical-rich concentrate (45 °C, 3 mm, 2.5 m s−1), a highly soluble ingredient (75 °C, 8.7 mm, 0.5 m s−1), and a water-retaining bulking matrix (75 °C, 7.4 mm, 0.5 m s−1). These findings demonstrate that convective drying thermodynamics can be strategically modulated to tailor avocado seed waste into specialized functional ingredients for the circular bioeconomy. Full article
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20 pages, 18535 KB  
Article
Study on the Synergistic Spontaneous-Combustion Effects and Critical Behavior of Polyurethane and Residual Coal Based on Large-Scale Programmed Heating Tests
by Yu Wang, Baoshan Jia, Zikun Pi, Rui Li, Tianzhi Yang, Zhanpeng He, Hui Zhuo and Tongren Li
Fire 2026, 9(7), 287; https://doi.org/10.3390/fire9070287 - 7 Jul 2026
Viewed by 414
Abstract
To address the major safety hazard that heat released from mining polyurethane (PU) reinforcement materials may induce spontaneous combustion of residual coal in goaf, this study selected No. 3 coal from Wangzhuang Coal Mine, Shanxi Lu’an, as the research object. A self-developed large-capacity, [...] Read more.
To address the major safety hazard that heat released from mining polyurethane (PU) reinforcement materials may induce spontaneous combustion of residual coal in goaf, this study selected No. 3 coal from Wangzhuang Coal Mine, Shanxi Lu’an, as the research object. A self-developed large-capacity, large-scale experimental system was used to conduct programmed heating experiments on 2.0 kg multi-particle-size coal-PU mixed samples. The effects of PU content on characteristic gas release, crossing point temperature (CPT), residue morphology, and TGA-DSC characteristic temperatures were systematically investigated, and the reaction-kinetic evolution was further analyzed using the distributed activation energy model (DAEM). The results show that coal and PU exhibit a significant synergistic enhancement effect during co-heating. As the PU content increased, the release concentrations of CO, C2H4, and C2H6 increased markedly, and their initial release temperatures decreased, whereas CH4 generation was inhibited by hydrogen-radical competition; no C2H2 was produced below 400 °C. The CPT decreased linearly with an increasing PU content, with an average decrease of approximately 8.5 °C for every 10% increase in PU content. Residue morphology showed clear critical features: glassy agglomerates appeared when the PU content exceeded 16.67%, and dense bulk coking occurred when the PU/coal mass ratio was greater than 1:10. TGA-DSC analysis showed that when the PU/coal ratio was lower than 1:10, the ignition temperature of the mixed sample was higher than that of pure coal, indicating an inhibitory synergistic effect. When the ratio exceeded 1:10, the ignition temperature decreased significantly, and the synergy shifted to promotion; increasing the heating rate shifted the characteristic temperatures to higher values and increased the reaction intensity. DAEM analysis further confirmed that when the PU ratio exceeded 1:10, the apparent activation energy of the mixed samples was lower than that of pure coal. Coal powder also acted as a physical skeleton that effectively dispersed molten PU, eliminated the activation-energy peaks of pure PU in the conversion ranges of 30–50% and 70–90%, and substantially improved combustion stability. Mechanistically, low-temperature PU melting and coating optimized heat and mass transfer, medium-temperature pyrolysis released active radicals and combustible gases that altered coal pyrolysis pathways and the radical reaction environment, and high-temperature hydrogen-radical competition reshaped the gas-product distribution. Together, these processes form a complete chain of synergistic spontaneous combustion. This study identifies key safety threshold parameters for PU reinforcement materials, recommends a PU content of ≤9.10%, and identifies CO and C2H4 as priority early-warning gases, providing direct experimental evidence for characteristic-gas-based early warning and mine fire prevention. Full article
(This article belongs to the Special Issue Innovative Methods and Insights into Coal Mine Fire Prevention)
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29 pages, 5091 KB  
Article
Two-Phase Flow Distribution in Plate Heat Exchangers Using a Coupled CFD–Distributed Parameter Model
by Lin He, Zhipeng Ye, Shunan Zhao, Qing Luo, Bin Li and Zhichun Liu
Energies 2026, 19(13), 3215; https://doi.org/10.3390/en19133215 - 7 Jul 2026
Viewed by 240
Abstract
Plate heat exchangers (PHEs) play a critical role in the energy efficiency of heat pump systems. However, non-uniform two-phase flow distribution across parallel channels remains a key limitation, as it may cause local dryout and degrade heat transfer performance. To address the limitations [...] Read more.
Plate heat exchangers (PHEs) play a critical role in the energy efficiency of heat pump systems. However, non-uniform two-phase flow distribution across parallel channels remains a key limitation, as it may cause local dryout and degrade heat transfer performance. To address the limitations of existing prediction approaches, a hybrid modeling framework coupling computational fluid dynamics (CFD) simulations with a distributed parameter model is developed. The model is validated against experimental data under 12 representative operating conditions. The results show that the average prediction errors for the total mass flow rate, pressure drop, and heat transfer rate are within 3%, ±10%, and ±5%, respectively. The influences of refrigerant outlet conditions and inlet distributor geometry on flow distribution uniformity are systematically investigated, identifying the dominant factors governing pressure drop and the mechanism by which distributor orientation improves uniformity. Quantitative optimization shows that an orifice orientation of 225° reduces flow non-uniformity by 67.8% and enhances the heat transfer rate by 4.33% compared with the distributor-free design. The proposed method is robust across various operating scenarios and provides a reliable, quantitative tool for optimizing PHE inlet distributor designs. Full article
(This article belongs to the Section J: Thermal Management)
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48 pages, 28313 KB  
Article
Development of an Engineering Methodology for Designing Overpasses of Different Scales Based on Establishing Dimensionless Similarity Criteria
by Aliya Kukesheva, Alexandr Ganyukov, Adil Kadyrov, Kirill Sinelnikov, Aidar Zhumabekov, Anel Akhmetova and Oxana Privalova
Appl. Sci. 2026, 16(13), 6784; https://doi.org/10.3390/app16136784 - 6 Jul 2026
Viewed by 178
Abstract
This article discusses the relevant problem of ensuring transport connectivity under the conditions of temporal restrictions of the road network, which arise during repair, communal and emergency operations. It is established that the existing organizational and intellectual methods of traffic management do not [...] Read more.
This article discusses the relevant problem of ensuring transport connectivity under the conditions of temporal restrictions of the road network, which arise during repair, communal and emergency operations. It is established that the existing organizational and intellectual methods of traffic management do not eliminate physical decrease in road capacity, while construction of stationary structures with different levels is limited by high costs and long terms of implementation. The above substantiates the need for the development of mobile overpasses as adaptive engineering solutions ensuring continuity of the traffic flows. The purpose of the research is to develop a scientifically substantiated theoretical and experimental methodology for designing a mobile overpass as an integrated system “structure-moving load”, taking into account its dynamic behavior. The paper proposes an integrated approach based on the use of physical similarity theory and dimensionless analysis. A differential equation of dynamic bending of a beam on an elastic foundation is formulated taking into account inertia, damping, base reaction and the effect of a moving mass, and then its nondimensionalization is performed to obtain a similarity criteria system. The scientific novelty of the research consists in developing a system of dimensionless criteria to describe the relationship between the structural, dynamic and operational parameters of a mobile overpass, as well as in the formation of a criterion base for large-scale modeling and transfer of the results to full-scale structures. The proposed methodology describes the mobile overpass as an integrated transport-engineering system accounting for the coupled interaction between the deformable structure, moving traffic load, elastic foundation, and damping effects. Experimental verification was performed on a specially designed stand in the scale 1:4. The results obtained showed the quasi-static nature of the structure performance with moderate damping and rigid base. It is established that the distribution of engineering stresses along the span length has a regular character and retains its shape when the load level changes, which confirms fulfillment of similarity conditions. Regression analysis revealed a close to linear dependence of stresses on the load mass with a high degree of confidence (R20.995). The practical significance of the research consists in creating an engineering method for express design of mobile overpasses, which allows for assessing their stress–strain state, stability and serviceability without expensive full-scale tests. The proposed approach can be used in designing temporary transportation structures under the conditions of urban area, and in operation in areas of road operations and emergency situations. Full article
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28 pages, 4207 KB  
Article
Multivariate Coupling Model and Reservoir Characteristics of Enhanced Geothermal Reservoirs
by Qiang Li, Fuling Wang, Jingjuan Wu, Qingchao Li and Gan Zhang
Energies 2026, 19(13), 3180; https://doi.org/10.3390/en19133180 - 3 Jul 2026
Viewed by 428
Abstract
The reliance on a single evaluation parameter represents a major limitation in traditional geothermal reservoir assessment models, hindering accurate and effective evaluation of geothermal extraction performance. Moreover, mechanical deformation induced by cold fluid injection exerts a significant influence on both fluid flow behavior [...] Read more.
The reliance on a single evaluation parameter represents a major limitation in traditional geothermal reservoir assessment models, hindering accurate and effective evaluation of geothermal extraction performance. Moreover, mechanical deformation induced by cold fluid injection exerts a significant influence on both fluid flow behavior and geothermal energy recovery. In this study, a thermo-hydraulic–mechanical (THM)-coupled single-fracture model is developed based on the physical properties of the solid matrix and the seepage characteristics of the fluid, using a finite-element framework for heat and mass transfer. This model enables a multi-parameter evaluation of geothermal extraction efficiency as well as reservoir rock deformation. The simulation results indicate that reservoir temperature decreases progressively from the injection well to the production well, resulting in a gradual decline in the outlet temperature after an initial stable production period of approximately 200 days. The presence of a preferential “fastest flow path” between the injection and production wells plays a critical role in sustaining the stable production phase, whereas the development of a tongue-shaped isotherm pattern is a primary factor responsible for the reduction in outlet temperature during the later stages of extraction. In addition, thermally induced rock deformation further modifies geothermal extraction efficiency, mainly through its effects on reservoir permeability and top vertical displacement. Overall, this study provides reliable and effective fundamental data for geothermal exploitation in specific geological reservoirs, thereby supporting the role of geothermal energy as a viable supplement to fossil fuel resources. Full article
(This article belongs to the Special Issue Subsurface Energy and Environmental Protection—2nd Edition)
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31 pages, 11982 KB  
Article
Study on Hydrogen Production Characteristics by Methanol Steam Reforming in a Fresnel Lens-Tapered Cavity Solar Thermal Concentric-Tube Reactor
by Feng Wang and Xiuqin Zhang
Appl. Sci. 2026, 16(13), 6681; https://doi.org/10.3390/app16136681 - 3 Jul 2026
Viewed by 289
Abstract
The endothermic nature of methanol steam reforming (MSR) for hydrogen production induces varying thermal effects along the flow direction, resulting in a non-uniform temperature distribution within the catalytic bed. Optimizing temperature uniformity has been demonstrated to enhance hydrogen production efficiency. In this study, [...] Read more.
The endothermic nature of methanol steam reforming (MSR) for hydrogen production induces varying thermal effects along the flow direction, resulting in a non-uniform temperature distribution within the catalytic bed. Optimizing temperature uniformity has been demonstrated to enhance hydrogen production efficiency. In this study, a novel Fresnel lens-driven non-evacuated tapered cavity solar reactor was proposed for methanol steam reforming, which can provide a reference for optimizing hydrogen production using Fresnel lens solar concentrators. The thermal flux distribution on the reactor’s inner walls was determined by Monte Carlo ray-tracing simulations. A three-dimensional CFD model integrating fluid flow, heat and mass transfer, and methanol steam reforming reaction kinetics was developed to investigate the effects of key operational parameters on this novel reactor performance. Multi-objective optimization using response surface methodology revealed that high reactant inlet temperature (Tin > 550 K) and low flow velocity (uin < 0.2 m/s) conditions significantly improve reactor methanol conversion (99.99%) and hydrogen yield (91.48%), but at the cost of increased CO selectivity (SCO > 28%). Conversely, low temperature (Tin < 500 K) and high flow velocity (uin > 0.4 m/s) conditions suppress CO formation (SCO < 0.03%), although with reduced hydrogen production efficiency. Full article
(This article belongs to the Special Issue Advances in Hydrogen Production Technologies for Green Energy)
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24 pages, 3847 KB  
Article
Short-Term Dissolved Oxygen Forecasting in Aquaculture Systems Using a Process-Based Mass-Balance Model
by Sonny Martin, Joseph Dvorak, Ken Semmens and Bill Ford
Water 2026, 18(13), 1618; https://doi.org/10.3390/w18131618 - 3 Jul 2026
Viewed by 516
Abstract
Dissolved oxygen (DO) is a critical water quality parameter in aquaculture systems. Low DO events can stress, limit the growth of, or even cause mortality of aquatic life in aquaculture systems and require rapid management decisions. This study presents a process-based approach for [...] Read more.
Dissolved oxygen (DO) is a critical water quality parameter in aquaculture systems. Low DO events can stress, limit the growth of, or even cause mortality of aquatic life in aquaculture systems and require rapid management decisions. This study presents a process-based approach for short-term DO forecasting that is intended to support rapid deployment and transferability across various aquaculture systems. Future DO is computed using a mass-balance equation driven by daily stream metabolism and reaeration coefficients estimated from the previous 24 h of weather and water observations. These coefficients are combined with the next day’s observed water temperature, atmospheric pressure, photosynthetically active radiation, and salinity to predict DO 24 h ahead under idealized measured-input conditions with a ten-minute resolution. Model performance was evaluated across multiple aquaculture ponds with varying aeration techniques by assessing prediction accuracy of daily DO minimums using a safety-based metric and full-day DO trajectories using root mean square error. The model successfully predicted 91.77% of DO drops below 6 mg/L within 1 mg/L in a consistently aerated artificial pond and achieved high success in a natural watershed system. Performance was reduced in systems with highly variable aeration. Prediction accuracy was the highest in surface locations away from aerators. These results indicate that a minimal-history process-based framework can identify low DO risk under idealized measured-input conditions, particularly in surface locations away from aerators and in systems with constant or natural aeration. Full article
(This article belongs to the Section Water, Agriculture and Aquaculture)
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