Pub Date : 2026-03-01Epub Date: 2025-11-29DOI: 10.1016/j.rineng.2025.108493
Zouhao Song , Jiawen Hu , Zhi Chen , Yifei Zhou , Guojun Zhang , Fenglin Han
This study proposes a new method for preparing the dual scale microstructures on the surface of oil grooves based on wire electrical discharge machining (WEDM). Firstly, a simulation model for the thermal field and wear during the engagement process of wet friction clutch is established to analyze the temperature field distribution and wear amount. The influence of the speed differences on the engagement characteristics is also explored. Secondly, the method of preparing surface dual scale microstructures based on WEDM is briefly introduced. The surface dual scale microstructure includes discharge morphology (micrometer scale, anisotropic pits and protrusions) and surface texture (submillimeter scale). The optimal process parameters for WEDM are used to achieve the large surface roughness and the high surface texture forming rate. Finally, the experimental research is conducted on the improvement of wet clutch engagement characteristics by surface dual scale microstructures. The results of the confirmatory experimental show that: during the engagement process of wet friction clutch, the relative error between the temperature measurement value and the simulation value on the friction plate is 16.1 %. The prepared surface dual scale microstructure can effectively reduce the maximum temperature on the friction plate, increase the friction torque between friction pairs by 2.03–7.02 %, and decrease the wear amount of the friction plate by 18.28–21.51 %. Therefore, the surface dual scale microstructure proposed in this study can effectively improve the engagement characteristics of the high-performance wet friction clutches, which has good the application value for practical engineering.
{"title":"Enhancing the heat transfer performance on the oil groove surface of aviation friction plates using dual scale microstructures prepared by WEDM","authors":"Zouhao Song , Jiawen Hu , Zhi Chen , Yifei Zhou , Guojun Zhang , Fenglin Han","doi":"10.1016/j.rineng.2025.108493","DOIUrl":"10.1016/j.rineng.2025.108493","url":null,"abstract":"<div><div>This study proposes a new method for preparing the dual scale microstructures on the surface of oil grooves based on wire electrical discharge machining (WEDM). Firstly, a simulation model for the thermal field and wear during the engagement process of wet friction clutch is established to analyze the temperature field distribution and wear amount. The influence of the speed differences on the engagement characteristics is also explored. Secondly, the method of preparing surface dual scale microstructures based on WEDM is briefly introduced. The surface dual scale microstructure includes discharge morphology (micrometer scale, anisotropic pits and protrusions) and surface texture (submillimeter scale). The optimal process parameters for WEDM are used to achieve the large surface roughness and the high surface texture forming rate. Finally, the experimental research is conducted on the improvement of wet clutch engagement characteristics by surface dual scale microstructures. The results of the confirmatory experimental show that: during the engagement process of wet friction clutch, the relative error between the temperature measurement value and the simulation value on the friction plate is 16.1 %. The prepared surface dual scale microstructure can effectively reduce the maximum temperature on the friction plate, increase the friction torque between friction pairs by 2.03–7.02 %, and decrease the wear amount of the friction plate by 18.28–21.51 %. Therefore, the surface dual scale microstructure proposed in this study can effectively improve the engagement characteristics of the high-performance wet friction clutches, which has good the application value for practical engineering.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108493"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-12DOI: 10.1016/j.rineng.2025.108720
Sudhana J , Usha Rani M
MXenes have emerged as one of the most powerful electrode materials in the family of supercapacitor electrode material due to their high conductivity, tunable surface chemistry, and layered architecture. Many reviews either focus exclusively on pure MXenes or explore only a limited subset of composite architectures, thus leaving a deficit in developing a unified understanding of these materials. This review summarizes systematically the recent advances in MXene/carbon (330–430 F.g-1, up to 410 mF.cm-2, 850 F.cm-3), MXene/metal oxide(150–950 F.g-1, 29.46–117.1 Wh.kg-1, 29.46–117.1 Wh.kg-1, 86.4–97.2 % - 10,000 stability), MXene/polymer(270–563.8 F.g-1, 65.6 W.Kg-1, 4077 Wh.Kg-1), MXene/2D (1531.2 F.g-1, 94.1 %-10,000 cycles) and MXene/biopolymer (286.28 F.g-1, 98 % cycling stability). The results obtained from these composites reveal their broad capabilities and versatility towards applications in flexible electronics, portable electronics, electric vehicles, and grid-level systems. This review aims at consolidating the understanding and providing a forward-looking direction for designing next-generation MXene based supercapacitors. Furthermore, this review facilitates the rapid identification of relevant research content, elucidates the interconnections among existing studies, and highlights the challenges that must be addressed for the future development of MXene materials.
{"title":"A review on MXene—Carbon, polymer, metal oxide and 2D composites for high performance supercapacitor applications","authors":"Sudhana J , Usha Rani M","doi":"10.1016/j.rineng.2025.108720","DOIUrl":"10.1016/j.rineng.2025.108720","url":null,"abstract":"<div><div>MXenes have emerged as one of the most powerful electrode materials in the family of supercapacitor electrode material due to their high conductivity, tunable surface chemistry, and layered architecture. Many reviews either focus exclusively on pure MXenes or explore only a limited subset of composite architectures, thus leaving a deficit in developing a unified understanding of these materials. This review summarizes systematically the recent advances in MXene/carbon (330–430 F.g<sup>-1</sup>, up to 410 mF.cm<sup>-2</sup>, 850 F.cm<sup>-3</sup>), MXene/metal oxide(150–950 F.g<sup>-1</sup>, 29.46–117.1 Wh.kg<sup>-1</sup>, 29.46–117.1 Wh.kg<sup>-1</sup>, 86.4–97.2 % - 10,000 stability), MXene/polymer(270–563.8 F.g<sup>-1</sup>, 65.6 W.Kg<sup>-1</sup>, 4077 Wh.Kg<sup>-1</sup>), MXene/2D (1531.2 F.g<sup>-1</sup>, 94.1 %-10,000 cycles) and MXene/biopolymer (286.28 F.g<sup>-1</sup>, 98 % cycling stability). The results obtained from these composites reveal their broad capabilities and versatility towards applications in flexible electronics, portable electronics, electric vehicles, and grid-level systems. This review aims at consolidating the understanding and providing a forward-looking direction for designing next-generation MXene based supercapacitors. Furthermore, this review facilitates the rapid identification of relevant research content, elucidates the interconnections among existing studies, and highlights the challenges that must be addressed for the future development of MXene materials.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108720"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-25DOI: 10.1016/j.rineng.2025.108333
Tayfun Durmaz , Aswani Kumar Bandaru , Ronan M. O’Higgins
Non-destructive inspection methods are employed to assess the quality of both metallic and non-metallic materials without causing deformation. These techniques are widely applied across various industries. Ultrasonic testing represents one of the most prevalent non-destructive inspection techniques. The calibration of fibre-reinforced polymer composites using artificial defects presents significant challenges due to the unique internal properties of each structure, such as fibre type, orientation, layup, and fibre-to-resin ratio. This study characterises immersion ultrasonic C-Scan performance using artificially induced defects in aerospace-grade carbon fibre-reinforced polymer (CFRP) composites with varying thicknesses approximately 3 and 6 mm and layup configurations. CFRP composites with [0]48 and [-45/30/45/60]3s layups were fabricated using an autoclave process. During preform preparation, six defect types were introduced by inserting materials including aluminium, release film (Fluorinated Ethylene Propylene), Teflon (two and four layers), and Guyson Honite (one and four layers). The samples were inspected using immersion ultrasonic probes at frequencies of 5 MHz, 10 MHz, and 20 MHz. Analysis of the received signals enabled classification of defects as delamination, inclusion, layer porosity, or volume porosity. The dead zone, a primary limitation in ultrasonic testing, was also investigated. Defects were positioned near the top surface within the dead zone to evaluate detection capability. All defects located in the dead zone were successfully identified, although some challenges were encountered during the process. The received signals were subsequently classified according to the type of defect.
{"title":"Non-destructive evaluation of induced defects in aerospace-grade CFRP composites using immersion ultrasonic C-Scan","authors":"Tayfun Durmaz , Aswani Kumar Bandaru , Ronan M. O’Higgins","doi":"10.1016/j.rineng.2025.108333","DOIUrl":"10.1016/j.rineng.2025.108333","url":null,"abstract":"<div><div>Non-destructive inspection methods are employed to assess the quality of both metallic and non-metallic materials without causing deformation. These techniques are widely applied across various industries. Ultrasonic testing represents one of the most prevalent non-destructive inspection techniques. The calibration of fibre-reinforced polymer composites using artificial defects presents significant challenges due to the unique internal properties of each structure, such as fibre type, orientation, layup, and fibre-to-resin ratio. This study characterises immersion ultrasonic C-Scan performance using artificially induced defects in aerospace-grade carbon fibre-reinforced polymer (CFRP) composites with varying thicknesses approximately 3 and 6 mm and layup configurations. CFRP composites with [0]<sub>48</sub> and [-45/30/45/60]<sub>3s</sub> layups were fabricated using an autoclave process. During preform preparation, six defect types were introduced by inserting materials including aluminium, release film (Fluorinated Ethylene Propylene), Teflon (two and four layers), and Guyson Honite (one and four layers). The samples were inspected using immersion ultrasonic probes at frequencies of 5 MHz, 10 MHz, and 20 MHz. Analysis of the received signals enabled classification of defects as delamination, inclusion, layer porosity, or volume porosity. The dead zone, a primary limitation in ultrasonic testing, was also investigated. Defects were positioned near the top surface within the dead zone to evaluate detection capability. All defects located in the dead zone were successfully identified, although some challenges were encountered during the process. The received signals were subsequently classified according to the type of defect.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108333"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-05DOI: 10.1016/j.rineng.2026.109010
G Saranya , Muthuraja Soundrapandian , Madurakavi Karthikeyan
Metasurface solar absorbers have emerged as promising technologies for efficient solar energy harvesting, due to their ability to control light at subwavelength scales. Unlike traditional solar absorbers such as bulk semiconductors, multilayer coatings, and plasmonic materials, metasurfaces enable higher absorption efficiency, broader spectral coverage, reduced material usage, and better thermal stability. These features make them ideal for solar-thermal and photovoltaic (PV) applications. This review provides a detailed overview of recent progress in the design and development of metasurface-based solar absorbers, discusses the fundamental concepts behind metasurfaces, including their ability to manipulate electromagnetic waves through resonance and interference effects. Compared various materials such as metals, dielectrics used for metasurface fabrication with a focus on their optical and thermal properties. For high temperature applications, high melting point material like Titanium Carbide (TiC) shows tremendous thermal stability. Dielectric spacers such as Silicon dioxide (SiO₂) achieve superior absorption rates exceeding 97% due to their low-loss characteristics with enhanced plasmonic and Fabry-Perot resonances. Different metasurface configurations designed for ultraviolet (UV), visible (VIS), and infrared (IR) absorption are discussed, along with the mechanisms that drive their performance, such as localized resonances, hybrid modes, and multilayer interference effects. Comparative analysis is provided on key parameters such as absorption efficiency, spectral selectivity, design complexity, and environmental robustness. This work focuses specifically on metasurface absorbers that operate across a broad solar spectrum range of 200-3000 nm. By combining theoretical understanding, material selection, and design strategies, this review aims to support the development of scalable and spectrally tunable metasurface absorbers for next-generation solar energy systems.
{"title":"Harnessing metasurface solar absorbers for high-efficiency solar absorption: Review of design, mechanisms, and challenges","authors":"G Saranya , Muthuraja Soundrapandian , Madurakavi Karthikeyan","doi":"10.1016/j.rineng.2026.109010","DOIUrl":"10.1016/j.rineng.2026.109010","url":null,"abstract":"<div><div>Metasurface solar absorbers have emerged as promising technologies for efficient solar energy harvesting, due to their ability to control light at subwavelength scales. Unlike traditional solar absorbers such as bulk semiconductors, multilayer coatings, and plasmonic materials, metasurfaces enable higher absorption efficiency, broader spectral coverage, reduced material usage, and better thermal stability. These features make them ideal for solar-thermal and photovoltaic (PV) applications. This review provides a detailed overview of recent progress in the design and development of metasurface-based solar absorbers, discusses the fundamental concepts behind metasurfaces, including their ability to manipulate electromagnetic waves through resonance and interference effects. Compared various materials such as metals, dielectrics used for metasurface fabrication with a focus on their optical and thermal properties. For high temperature applications, high melting point material like Titanium Carbide (TiC) shows tremendous thermal stability. Dielectric spacers such as Silicon dioxide (SiO₂) achieve superior absorption rates exceeding 97% due to their low-loss characteristics with enhanced plasmonic and Fabry-Perot resonances. Different metasurface configurations designed for ultraviolet (UV), visible (VIS), and infrared (IR) absorption are discussed, along with the mechanisms that drive their performance, such as localized resonances, hybrid modes, and multilayer interference effects. Comparative analysis is provided on key parameters such as absorption efficiency, spectral selectivity, design complexity, and environmental robustness. This work focuses specifically on metasurface absorbers that operate across a broad solar spectrum range of 200-3000 nm. By combining theoretical understanding, material selection, and design strategies, this review aims to support the development of scalable and spectrally tunable metasurface absorbers for next-generation solar energy systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109010"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-20DOI: 10.1016/j.rineng.2026.109220
Seyed Hasan Musavi , Davood Domiri Ganji
Recent studies on developing in manufacturing processes with economic and environmental-friendly logics have shown that many researchers are inclined to replace inefficient techniques with the new and efficient ones. Meanwhile, the machining industry, with its wide range of different processes, has accounted for a large share of industrial production. Cutting fluid (CF) is an inseparable part of machining processes, which their detailed study can have comprehensive feedback, including production costs, product quality, and human and environmental health. Knowing that over 65 % of lubricants disposals return to the environment with no purification process, and increasing regulations over pollution, therefore, suitable lubricant is demanded to replace with risky and low-efficiency one. The use of nanofluids is a practical solution to problems in today's industry that has been proposed by many researchers around the world. The present study has carefully studied the impact of various nanofluids in different sectors of the machining industry. The challenges of nanofluids such as biological effects, cost of nanoparticle production, and process limitations such as nanoparticles instability, changes in properties at high temperatures, increasing viscosity and pressure drop in transmission line are among the most important factors in the advancement of nanofluids, which were reviewed in the present work. Among them and as an important issue that many researchers haven't studied very well is the instability of the nanoparticles, which leads to nanoparticles adhesion to each other and weakening of the Brownian motion. Therefore, the stability of nanoparticles in the nanofluid is greatly reduced and they deposited rapidly, which fluid environment becomes empty of nanoparticles. Surface active agents (surfactant) can be a solution to this harmful phenomenon, which in the work, it has been tried to explain this issue in detail.
{"title":"A comprehensive review on nanofluids applications in the machining industry: challenges in nanofluids","authors":"Seyed Hasan Musavi , Davood Domiri Ganji","doi":"10.1016/j.rineng.2026.109220","DOIUrl":"10.1016/j.rineng.2026.109220","url":null,"abstract":"<div><div>Recent studies on developing in manufacturing processes with economic and environmental-friendly logics have shown that many researchers are inclined to replace inefficient techniques with the new and efficient ones. Meanwhile, the machining industry, with its wide range of different processes, has accounted for a large share of industrial production. Cutting fluid (CF) is an inseparable part of machining processes, which their detailed study can have comprehensive feedback, including production costs, product quality, and human and environmental health. Knowing that over 65 % of lubricants disposals return to the environment with no purification process, and increasing regulations over pollution, therefore, suitable lubricant is demanded to replace with risky and low-efficiency one. The use of nanofluids is a practical solution to problems in today's industry that has been proposed by many researchers around the world. The present study has carefully studied the impact of various nanofluids in different sectors of the machining industry. The challenges of nanofluids such as biological effects, cost of nanoparticle production, and process limitations such as nanoparticles instability, changes in properties at high temperatures, increasing viscosity and pressure drop in transmission line are among the most important factors in the advancement of nanofluids, which were reviewed in the present work. Among them and as an important issue that many researchers haven't studied very well is the instability of the nanoparticles, which leads to nanoparticles adhesion to each other and weakening of the Brownian motion. Therefore, the stability of nanoparticles in the nanofluid is greatly reduced and they deposited rapidly, which fluid environment becomes empty of nanoparticles. Surface active agents (surfactant) can be a solution to this harmful phenomenon, which in the work, it has been tried to explain this issue in detail.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109220"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-26DOI: 10.1016/j.rineng.2025.108910
Seyed Ahmadreza Amirsadat , Ahmad Azari , Ali Valizadeh
The continuous rise in anthropogenic CO₂ emissions from fossil fuel combustion underscores the urgency of developing efficient carbon capture technologies. Among various methods, post-combustion CO₂ capture using amine-based solvents remains the most mature and industrially viable. However, conventional aqueous-amine systems suffer from high regeneration energy demands, solvent degradation, and operational challenges. This study systematically reviews recent advances in amine-based solvents and co-solvent formulations designed to enhance absorption efficiency and reduce energy consumption. The discussion covers (i) thermodynamic and kinetic fundamentals of amine–CO₂ interactions, (ii) the effects of co-solvent addition on viscosity, mass transfer, and thermal stability, and (iii) the influence of operating parameters on cyclic capacity and regeneration energy. Emerging classes such as water-lean, biphasic, and nanoparticle-enhanced systems are critically compared based on their absorption kinetics, desorption enthalpy, and stability under cyclic operation. Bibliometric analysis is used to map the evolution of research trends in solvent engineering. The review highlights that co-solvents such as glycols, sulfoxides, and glycol ethers can lower reboiler duty by up to 60% relative to aqueous monoethanolamine while maintaining comparable absorption performance. Remaining challenges include viscosity control, long-term solvent degradation, and scalability. Future research should focus on optimizing solvent composition, integrating process intensification techniques, and developing predictive models linking molecular structure to process performance.
{"title":"Advances in amine-based absorption solvent engineering: Co-solvent strategies toward low-energy post-combustion CO₂ capture","authors":"Seyed Ahmadreza Amirsadat , Ahmad Azari , Ali Valizadeh","doi":"10.1016/j.rineng.2025.108910","DOIUrl":"10.1016/j.rineng.2025.108910","url":null,"abstract":"<div><div>The continuous rise in anthropogenic CO₂ emissions from fossil fuel combustion underscores the urgency of developing efficient carbon capture technologies. Among various methods, post-combustion CO₂ capture using amine-based solvents remains the most mature and industrially viable. However, conventional aqueous-amine systems suffer from high regeneration energy demands, solvent degradation, and operational challenges. This study systematically reviews recent advances in amine-based solvents and co-solvent formulations designed to enhance absorption efficiency and reduce energy consumption. The discussion covers (i) thermodynamic and kinetic fundamentals of amine–CO₂ interactions, (ii) the effects of co-solvent addition on viscosity, mass transfer, and thermal stability, and (iii) the influence of operating parameters on cyclic capacity and regeneration energy. Emerging classes such as water-lean, biphasic, and nanoparticle-enhanced systems are critically compared based on their absorption kinetics, desorption enthalpy, and stability under cyclic operation. Bibliometric analysis is used to map the evolution of research trends in solvent engineering. The review highlights that co-solvents such as glycols, sulfoxides, and glycol ethers can lower reboiler duty by up to 60% relative to aqueous monoethanolamine while maintaining comparable absorption performance. Remaining challenges include viscosity control, long-term solvent degradation, and scalability. Future research should focus on optimizing solvent composition, integrating process intensification techniques, and developing predictive models linking molecular structure to process performance.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108910"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, solar PV systems have faced challenges in identifying and understanding losses, which are often limited by descriptive performance analysis. In this study, the thermal and electrical characteristics of a 684 kWp solar PV system are investigated under tropical climatic conditions in Thailand. A statistical analysis was performed using a box plot and the Pearson correlation method. Following that, a temperature sensitivity analysis was conducted using a non-descriptive platform to evaluate the Performance Ratio (PR) and efficiency across the four seasonal categories. It was found that in 2016, the recorded summer solar irradiance was 489 W/m², 753.5 W/m², and 918 W/m² for Quartiles 1, 2, and 3, respectively, indicating that Thailand has a rich solar energy potential. Due to tropical climatic conditions, solar irradiance has a significant impact on increasing the ambient temperature, which in turn raises the operating temperature of the PV module. During the winter periods, solar irradiance showed a strong positive correlation with current and power generation, with a correlation coefficient of 0.99. However, the monsoon period had a slight variation, with a range of 0.948. Similarly, the monsoon period experienced higher inverter power conversion loss due to frequent clouds. The highest and lowest power generation periods occurred during the presummer and monsoon seasons, with ranges of 3415.14 kWh and 1574.98 kWh, respectively. The Temperature Correction Factor (TCF) indicates that the impact of thermal effects on the solar farm was high. A TCF baseline of 40 °C shows a greater efficiency enhancement; however, it indicates an adverse effect on the Performance Ratio (PR). The highest efficiency of 17.43 % was achieved during the summer period, due to the lower temperature differences between the modified baseline operating temperature and the PV module. The corresponding PR was 0.71, comparatively 0.10 lower than TCF at 10 °C. Furthermore, it is recommended to cool the PV module operating temperature by approximately 10 °C to enhance the efficiency of the solar farm.
{"title":"Seasonal variation of thermal and electrical characteristics of 684 kW DC solar photovoltaic system in thailand: Statistical and performance evaluation","authors":"Karthikeyan Velmurugan , Chattariya Sirisamphanwong , Rattaporn Ngoenmeesri , Kongrit Mansiri , Buntoon Wiengmoon , Sirinuch Chindaruksa , Sukruedee Sukchai , Phairot Phanukan , Maruphong Konyu , Chatchai Sirisamphanwong","doi":"10.1016/j.rineng.2025.108491","DOIUrl":"10.1016/j.rineng.2025.108491","url":null,"abstract":"<div><div>In recent years, solar PV systems have faced challenges in identifying and understanding losses, which are often limited by descriptive performance analysis. In this study, the thermal and electrical characteristics of a 684 kWp solar PV system are investigated under tropical climatic conditions in Thailand. A statistical analysis was performed using a box plot and the Pearson correlation method. Following that, a temperature sensitivity analysis was conducted using a non-descriptive platform to evaluate the Performance Ratio (PR) and efficiency across the four seasonal categories. It was found that in 2016, the recorded summer solar irradiance was 489 W/m², 753.5 W/m², and 918 W/m² for Quartiles 1, 2, and 3, respectively, indicating that Thailand has a rich solar energy potential. Due to tropical climatic conditions, solar irradiance has a significant impact on increasing the ambient temperature, which in turn raises the operating temperature of the PV module. During the winter periods, solar irradiance showed a strong positive correlation with current and power generation, with a correlation coefficient of 0.99. However, the monsoon period had a slight variation, with a range of 0.948. Similarly, the monsoon period experienced higher inverter power conversion loss due to frequent clouds. The highest and lowest power generation periods occurred during the presummer and monsoon seasons, with ranges of 3415.14 kWh and 1574.98 kWh, respectively. The Temperature Correction Factor (TCF) indicates that the impact of thermal effects on the solar farm was high. A TCF baseline of 40 °C shows a greater efficiency enhancement; however, it indicates an adverse effect on the Performance Ratio (PR). The highest efficiency of 17.43 % was achieved during the summer period, due to the lower temperature differences between the modified baseline operating temperature and the PV module. The corresponding PR was 0.71, comparatively 0.10 lower than TCF at 10 °C. Furthermore, it is recommended to cool the PV module operating temperature by approximately 10 °C to enhance the efficiency of the solar farm.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108491"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-02-10DOI: 10.1016/j.rineng.2026.109519
Arby Pratama Putra Rosmin , Mas Irfan Purbawanto Hidayat , Azzah Dyah Pramata
Proton exchange membrane fuel cells (PEMFC) are promising technologies for sustainable energy conversion. One of the important factors governing its performance is the design of the flow field within bipolar plate, which plays a key role in ensuring efficient reactant distribution and water management in the membrane electrode assembly. This paper provides a systematic review of recent advancements in surrogate modelling and machine learning (ML)-based optimization techniques as applied to the design of flow fields in PEMFC. The review encompasses various flow field configurations, including both 2D and 3D designs that incorporate baffles, traps, and bio-inspired structures. The modelling and optimization strategies, either single- or multi-objective, are identified and examined, enabling clearer evaluation of each contribution and limitation. The predictive accuracies are reported. The principal factors affecting the performance of surrogate models are nonlinearity degree in the input–output relationships, dataset size, number and quality of input parameters, model architecture, training strategies, and hyperparameter tuning. While neural networks (NN), response surface methodology (RSM), support vector machines (SVM), Kriging models, and deep neural networks (DNN) are commonly utilized surrogate models, the NNs outperform other ML models. The other models, however, show more flexibility with limited datasets. In addition, genetic algorithm (GA) and non-dominated sorting genetic algorithm II (NSGA-II) are respectively the single- and multi-objective algorithms most frequently integrated with the surrogate models. The use of ML techniques leads to efficient approach greatly enhancing PEMFC flow field optimization and hold a promising solution toward performance and commercial scale PEMFC.
{"title":"Recent progress on machine learning techniques for flow field optimization toward performance and commercial scale proton exchange membrane fuel cell: A systematic review","authors":"Arby Pratama Putra Rosmin , Mas Irfan Purbawanto Hidayat , Azzah Dyah Pramata","doi":"10.1016/j.rineng.2026.109519","DOIUrl":"10.1016/j.rineng.2026.109519","url":null,"abstract":"<div><div>Proton exchange membrane fuel cells (PEMFC) are promising technologies for sustainable energy conversion. One of the important factors governing its performance is the design of the flow field within bipolar plate, which plays a key role in ensuring efficient reactant distribution and water management in the membrane electrode assembly. This paper provides a systematic review of recent advancements in surrogate modelling and machine learning (ML)-based optimization techniques as applied to the design of flow fields in PEMFC. The review encompasses various flow field configurations, including both 2D and 3D designs that incorporate baffles, traps, and bio-inspired structures. The modelling and optimization strategies, either single- or multi-objective, are identified and examined, enabling clearer evaluation of each contribution and limitation. The predictive accuracies are reported. The principal factors affecting the performance of surrogate models are nonlinearity degree in the input–output relationships, dataset size, number and quality of input parameters, model architecture, training strategies, and hyperparameter tuning. While neural networks (NN), response surface methodology (RSM), support vector machines (SVM), Kriging models, and deep neural networks (DNN) are commonly utilized surrogate models, the NNs outperform other ML models. The other models, however, show more flexibility with limited datasets. In addition, genetic algorithm (GA) and non-dominated sorting genetic algorithm II (NSGA-II) are respectively the single- and multi-objective algorithms most frequently integrated with the surrogate models. The use of ML techniques leads to efficient approach greatly enhancing PEMFC flow field optimization and hold a promising solution toward performance and commercial scale PEMFC.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109519"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-03-08DOI: 10.1016/j.rineng.2026.109958
Yutong Yan , Hongwei Yu , Yu Zhang , Mingyuan Wang , Wenfeng Lv , Shumin Ni , Jiangfei Wei , Weifeng Lyu
The ubiquitous presence of impurity gases in industrially captured CO2 streams poses critical challenges to the efficiency and safety of the entire CO2-enhanced oil recovery (EOR) and geological storage chain, representing a core scientific issue urgently requiring resolution for the large-scale application of Carbon Capture, Utilization and Storage (CCUS). This review, for the first time, systematically integrates the dual perspectives of “EOR-Storage” to comprehensively analyze the mechanisms of impurity effects. Key findings indicate that: in the EOR stage, impurities influence the minimum miscibility pressure (MMP) through thermodynamic, mass transfer, and phase behavior pathways, with their effects nonlinearly modulated by concentration, temperature, crude oil properties, and synergistic/antagonistic interactions among impurities; in the geological storage stage, impurities trigger multi-scale differentiated effects: acidic impurities dominate the pathway and efficiency of mineral trapping through strong acidification-dissolution and competitive precipitation, while non-condensable impurities significantly affect the capacity and kinetics of structural and dissolution trapping by altering density and buoyancy. Reservoir type and depth differentially modulate these responses. This review further analyzes the economic-safety tension between the industry's preference for high purity and the utilization of low-cost, impure carbon sources, and points out that future research must focus on developing reservoir-customized methods for assessing impurity tolerance, adaptive quality control technologies, and full-chain techno-economic analysis tools. This review provides crucial theoretical support and decision-making references for optimizing the injection design of impurity-containing CO2 streams and balancing the safety and economics of CCUS projects.
{"title":"From oil displacement to safe storage: Impacts of impurity gases in CO2 geological utilization","authors":"Yutong Yan , Hongwei Yu , Yu Zhang , Mingyuan Wang , Wenfeng Lv , Shumin Ni , Jiangfei Wei , Weifeng Lyu","doi":"10.1016/j.rineng.2026.109958","DOIUrl":"10.1016/j.rineng.2026.109958","url":null,"abstract":"<div><div>The ubiquitous presence of impurity gases in industrially captured CO<sub>2</sub> streams poses critical challenges to the efficiency and safety of the entire CO<sub>2</sub>-enhanced oil recovery (EOR) and geological storage chain, representing a core scientific issue urgently requiring resolution for the large-scale application of Carbon Capture, Utilization and Storage (CCUS). This review, for the first time, systematically integrates the dual perspectives of “EOR-Storage” to comprehensively analyze the mechanisms of impurity effects. Key findings indicate that: in the EOR stage, impurities influence the minimum miscibility pressure (MMP) through thermodynamic, mass transfer, and phase behavior pathways, with their effects nonlinearly modulated by concentration, temperature, crude oil properties, and synergistic/antagonistic interactions among impurities; in the geological storage stage, impurities trigger multi-scale differentiated effects: acidic impurities dominate the pathway and efficiency of mineral trapping through strong acidification-dissolution and competitive precipitation, while non-condensable impurities significantly affect the capacity and kinetics of structural and dissolution trapping by altering density and buoyancy. Reservoir type and depth differentially modulate these responses. This review further analyzes the economic-safety tension between the industry's preference for high purity and the utilization of low-cost, impure carbon sources, and points out that future research must focus on developing reservoir-customized methods for assessing impurity tolerance, adaptive quality control technologies, and full-chain techno-economic analysis tools. This review provides crucial theoretical support and decision-making references for optimizing the injection design of impurity-containing CO<sub>2</sub> streams and balancing the safety and economics of CCUS projects.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109958"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As global climate change intensifies and urban pipeline service lifespans extend, ensuring the safety and resilience of subsurface pipeline infrastructure is critical for sustainable development. This review examines typical damage mechanisms at the micro-material, macro-structural, and system levels, and highlights recent advances in predictive methods for steel pipeline failures. Special emphasis is placed on integrating multi-algorithm strategies with physics-informed and data-driven models to improve prediction accuracy and enhance disaster response capabilities. Risk management is emphasized as a core component of resilience governance, and current prevention and control strategies are discussed. Furthermore, the study identifies major challenges to resilient steel pipeline management and proposes strategic pathways involving four key stakeholders: government, industry, academia, and the public. This review provides theoretical insights and practical references for enhancing operational resilience and pre-incident protection of urban pipeline networks under complex and evolving environmental conditions.
{"title":"A review of damage mechanisms, prediction methods, and risk management strategies for urban underground steel pipelines","authors":"Jiayi Li, Fanyu Zeng, Jingsi Xie, Tiantian Zhang, Dongliang Han, Yufei Tan","doi":"10.1016/j.rineng.2026.109701","DOIUrl":"10.1016/j.rineng.2026.109701","url":null,"abstract":"<div><div>As global climate change intensifies and urban pipeline service lifespans extend, ensuring the safety and resilience of subsurface pipeline infrastructure is critical for sustainable development. This review examines typical damage mechanisms at the micro-material, macro-structural, and system levels, and highlights recent advances in predictive methods for steel pipeline failures. Special emphasis is placed on integrating multi-algorithm strategies with physics-informed and data-driven models to improve prediction accuracy and enhance disaster response capabilities. Risk management is emphasized as a core component of resilience governance, and current prevention and control strategies are discussed. Furthermore, the study identifies major challenges to resilient steel pipeline management and proposes strategic pathways involving four key stakeholders: government, industry, academia, and the public. This review provides theoretical insights and practical references for enhancing operational resilience and pre-incident protection of urban pipeline networks under complex and evolving environmental conditions.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109701"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}