Pub Date : 2024-12-03DOI: 10.1016/j.oceaneng.2024.119892
Muhammad Rizki Purnama , Anawat Suppasri , Kwanchai Pakoksung , Fumihiko Imamura , Mohammad Farid , Mohammad Bagus Adityawan
Indonesia's Java subduction zone has triggered devastating tsunamis, emphasizing the need for a robust Tsunami Early Warning System, specifically for Southern Java, Bali, and Nusa Tenggara. With only six Ocean Bottom Pressure Gauges (OBPGs) currently monitoring tsunami propagation in the deep sea, optimized future sensor deployment is crucial. This paper, the first in a two-part series, proposes new observation networks to enhance tsunami early warning system. Our methodology involves developing synthetic stochastic-slip earthquake-induced tsunami simulations, delineating tsunami lead times, and applying empirical orthogonal functions (EOF) to determine spatial modal energy. We also assess the reliability of spacing and bathymetry for potential sensor locations. Our analysis reveals potential locations for additional OBPGs across the area. The proposed network consists of 42 additional sensors, demonstrating the potential for earlier warnings. These findings lay the groundwork for the second part of our series, where we will develop advanced forecasting models incorporating deep learning techniques based on the proposed location and further optimize sensor locations with the novel approach of hybrid optimizer and deep learning model. By establishing an improved observation network, this study contributes to more effective tsunami early warning systems in Indonesia, potentially mitigating the impact of future events on coastal communities.
{"title":"Improving Indonesia's tsunami early warning: Part I: Developing synthetic tsunami scenarios and initial deployment","authors":"Muhammad Rizki Purnama , Anawat Suppasri , Kwanchai Pakoksung , Fumihiko Imamura , Mohammad Farid , Mohammad Bagus Adityawan","doi":"10.1016/j.oceaneng.2024.119892","DOIUrl":"10.1016/j.oceaneng.2024.119892","url":null,"abstract":"<div><div>Indonesia's Java subduction zone has triggered devastating tsunamis, emphasizing the need for a robust Tsunami Early Warning System, specifically for Southern Java, Bali, and Nusa Tenggara. With only six Ocean Bottom Pressure Gauges (OBPGs) currently monitoring tsunami propagation in the deep sea, optimized future sensor deployment is crucial. This paper, the first in a two-part series, proposes new observation networks to enhance tsunami early warning system. Our methodology involves developing synthetic stochastic-slip earthquake-induced tsunami simulations, delineating tsunami lead times, and applying empirical orthogonal functions (EOF) to determine spatial modal energy. We also assess the reliability of spacing and bathymetry for potential sensor locations. Our analysis reveals potential locations for additional OBPGs across the area. The proposed network consists of 42 additional sensors, demonstrating the potential for earlier warnings. These findings lay the groundwork for the second part of our series, where we will develop advanced forecasting models incorporating deep learning techniques based on the proposed location and further optimize sensor locations with the novel approach of hybrid optimizer and deep learning model. By establishing an improved observation network, this study contributes to more effective tsunami early warning systems in Indonesia, potentially mitigating the impact of future events on coastal communities.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"316 ","pages":"Article 119892"},"PeriodicalIF":4.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.oceaneng.2024.119931
Yuefu Yang , Yifeng Zhuang , Hongbo Wang , Chaohe Chen
The corrosion tests on Q235B steel in artificial seawater with conventional room temperature and high-temperature & high-humidity are first conducted. The test results show that increasing the acidity and temperature of the corrosion solution, as well as adopting the alternating dry-wet, can significantly enhance the corrosion rate of materials. In addition, the corrosion tests exhibit good simulation and acceleration characteristics compared to at sea tests. Then, the corrosion and corrosion-fatigue numerical simulation methods based on COMSOL and MATLAB are proposed. Meanwhile, the corrosion of Q235B steel in neutral artificial seawater and corrosion fatigue damage of a T-shaped structure under the coupling of artificial seawater with fatigue load are simulated and analyzed. The corrosion simulation results indicate that when the temperature is 40 °C and 20 °C, the average corrosion rates of specimens increase by 96.61% and 15.25%, respectively. Furthermore, when the temperature is 20 °C, the average corrosion rates obtained from numerical simulation and corrosion test are 0.068 mm/a and 0.062 mm/a, respectively, with a relative error of 9.7%, verifying the validity of the corrosion numerical simulation method. Based on the corrosion fatigue simulation, it is found that the maximum corrosion thickness increases by about 23% compared to pure corrosion condition in the weld region, and the structural fatigue damage increases by about 21.36% compared to pure fatigue condition after 10 years of corrosion.
{"title":"Corrosion test and corrosion fatigue numerical simulation research on marine structures","authors":"Yuefu Yang , Yifeng Zhuang , Hongbo Wang , Chaohe Chen","doi":"10.1016/j.oceaneng.2024.119931","DOIUrl":"10.1016/j.oceaneng.2024.119931","url":null,"abstract":"<div><div>The corrosion tests on Q235B steel in artificial seawater with conventional room temperature and high-temperature & high-humidity are first conducted. The test results show that increasing the acidity and temperature of the corrosion solution, as well as adopting the alternating dry-wet, can significantly enhance the corrosion rate of materials. In addition, the corrosion tests exhibit good simulation and acceleration characteristics compared to at sea tests. Then, the corrosion and corrosion-fatigue numerical simulation methods based on COMSOL and MATLAB are proposed. Meanwhile, the corrosion of Q235B steel in neutral artificial seawater and corrosion fatigue damage of a T-shaped structure under the coupling of artificial seawater with fatigue load are simulated and analyzed. The corrosion simulation results indicate that when the temperature is 40 °C and 20 °C, the average corrosion rates of specimens increase by 96.61% and 15.25%, respectively. Furthermore, when the temperature is 20 °C, the average corrosion rates obtained from numerical simulation and corrosion test are 0.068 mm/a and 0.062 mm/a, respectively, with a relative error of 9.7%, verifying the validity of the corrosion numerical simulation method. Based on the corrosion fatigue simulation, it is found that the maximum corrosion thickness increases by about 23% compared to pure corrosion condition in the weld region, and the structural fatigue damage increases by about 21.36% compared to pure fatigue condition after 10 years of corrosion.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"316 ","pages":"Article 119931"},"PeriodicalIF":4.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.bspc.2024.107261
S.Mahaboob Basha , J. Sreemathy , Arun A , S. Sureshu
A brain tumor (BT) refers to an irregular accumulation of cells within the brain that proliferates uncontrollably, resulting in the formation of a mass. The accurate classification and early detection are important for effective treatment. In previous researches, the BT exhibited diverse features in terms of size, shape, and location. Moreover, the images used for segmentation, which suffered from image noise, low contrast, and shifting intensities within tissues. These issues are overcome by developing an effective method in this paper named Puzzle Sine Cosine Optimization enabled Deep Kronecker Network (PSCO-DKN) for classifying BT in the Internet of Things (IoT) healthcare system. Firstly, an IoT network is simulated, where the IoT device is used to capture the patient’s Magnetic Resonance Imaging (MRI) images. Further, the images are routed to the Base Station (BS) by employing PSCO. The routing is accomplished by contemplating several fitness parameters including delay, energy, and distance. At the BS, the process for BT classification is implemented as follows. Initially, the pre-processing is done by utilizing the median filter. Afterwards, the segmentation process is done by applying Spatial Attention U-Net (SA-Unet). After that, Statistical features and Shape Local Binary Texture (SLBT) are extracted. At last, BT classification is performed by utilizing the DKN, which is structurally optimized by using PSCO developed by the hybridization of Puzzle Optimization Algorithm (POA) and Sine Cosine Algorithm (SCA). Finally, PSCO-DKN attained superior outcomes of True Negative Rate (TNR) at 90.9 %, True Positive Rate (TPR) at 92.6 %, and accuracy at 87.7 %.
{"title":"Puzzle sine cosine optimization-based secure communication and brain tumor classification in IoT‐healthcare system","authors":"S.Mahaboob Basha , J. Sreemathy , Arun A , S. Sureshu","doi":"10.1016/j.bspc.2024.107261","DOIUrl":"10.1016/j.bspc.2024.107261","url":null,"abstract":"<div><div>A brain tumor (BT) refers to an irregular accumulation of cells within the brain that proliferates uncontrollably, resulting in the formation of a mass. The accurate classification and early detection are important for effective treatment. In previous researches, the BT exhibited diverse features in terms of size, shape, and location. Moreover, the images used for segmentation, which suffered from image noise, low contrast, and shifting intensities within tissues. These issues are overcome by developing an effective method in this paper named Puzzle Sine Cosine Optimization enabled Deep Kronecker Network (PSCO-DKN) for classifying BT in the Internet of Things (IoT) healthcare system. Firstly, an IoT network is simulated, where the IoT device is used to capture the patient’s Magnetic Resonance Imaging (MRI) images. Further, the images are routed to the Base Station (BS) by employing PSCO. The routing is accomplished by contemplating several fitness parameters including delay, energy, and distance. At the BS, the process for BT classification is implemented as follows. Initially, the pre-processing is done by utilizing the median filter. Afterwards, the segmentation process is done by applying Spatial Attention U-Net (SA-Unet). After that, Statistical features and Shape Local Binary Texture (SLBT) are extracted. At last, BT classification is performed by utilizing the DKN, which is structurally optimized by using PSCO developed by the hybridization of Puzzle Optimization Algorithm (POA) and Sine Cosine Algorithm (SCA). Finally, PSCO-DKN attained superior outcomes of True Negative Rate (TNR) at 90.9 %, True Positive Rate (TPR) at 92.6 %, and accuracy at 87.7 %.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":"102 ","pages":"Article 107261"},"PeriodicalIF":4.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.est.2024.114728
P. Marish Kumar , R. Dhilipkumar , G. Geethamahalakshmi , Sujatha M
An integral and prevalent aspect of modern life is the electric vehicle (EV).EV charging networks struggle with power losses and high energy costs, particularly as demand rises leading to inefficiencies and potential system overloads. A hybrid WSO-RBFNN approach is proposed for the distribution network's photovoltaic (PV) fed electric vehicle charging stations. The performance of the proposed hybrid strategy is a combination of war strategy optimization (WSO) and Radial basis function neural network (RBFNN). It is hence referred to as the WSO-RBFNN technique. WSO optimizes the distribution network by minimizing power loss, improving voltage sensitivity, and reducing costs. Meanwhile, the RBFNN predicts the load demand. This innovative technique WSO-RBFNN identifies the nearest charging spots that minimize power loss and RBFNN optimizes power flow predicts charging demands and addresses both environmental and electrical grid stability concerns. The proposed technique is implemented in MATLAB. MATLAB is powerful computational software widely used in different fields like numerical computation, visualization, and algorithm development. MATLAB provides powerful tools for data visualization and plotting. The results are compared to various existing Heap-based optimizer (HBO), Wild horse optimizer (WHO), and Salp Swarm Algorithm (SSA) techniques. The proposed approach contributes only 0.59 % of a power loss it is less and the cost of energy is 0.18$ which is lesser and the voltage deviation is 6.6 pu which is less than the existing techniques.
{"title":"Efficient distribution network based on photovoltaic fed electric vehicle charging station using WSO-RBFNN approach","authors":"P. Marish Kumar , R. Dhilipkumar , G. Geethamahalakshmi , Sujatha M","doi":"10.1016/j.est.2024.114728","DOIUrl":"10.1016/j.est.2024.114728","url":null,"abstract":"<div><div>An integral and prevalent aspect of modern life is the electric vehicle (EV).EV charging networks struggle with power losses and high energy costs, particularly as demand rises leading to inefficiencies and potential system overloads. A hybrid WSO-RBFNN approach is proposed for the distribution network's photovoltaic (PV) fed electric vehicle charging stations. The performance of the proposed hybrid strategy is a combination of war strategy optimization (WSO) and Radial basis function neural network (RBFNN). It is hence referred to as the WSO-RBFNN technique. WSO optimizes the distribution network by minimizing power loss, improving voltage sensitivity, and reducing costs. Meanwhile, the RBFNN predicts the load demand. This innovative technique WSO-RBFNN identifies the nearest charging spots that minimize power loss and RBFNN optimizes power flow predicts charging demands and addresses both environmental and electrical grid stability concerns. The proposed technique is implemented in MATLAB. MATLAB is powerful computational software widely used in different fields like numerical computation, visualization, and algorithm development. MATLAB provides powerful tools for data visualization and plotting. The results are compared to various existing Heap-based optimizer (HBO), Wild horse optimizer (WHO), and Salp Swarm Algorithm (SSA) techniques. The proposed approach contributes only 0.59 % of a power loss it is less and the cost of energy is 0.18$ which is lesser and the voltage deviation is 6.6 pu which is less than the existing techniques.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"106 ","pages":"Article 114728"},"PeriodicalIF":8.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.seppur.2024.130927
Jianbang Chen, Zhiyong Yang, Xingwang Long, Lei Liu, Tuan Guo, Daotong You
Exploring and implementing precise carrier-transfer channels in the interface of Z-scheme heterojunctions are crucial and considered significant challenges. Here, a one-dimensional/two-dimensional (1D/2D) heterostructure Z-scheme photocatalyst was constructed by in situ growing of defective CeO2-x nanorods on the surface of Bi-rich Bi4O5Br2 nanosheets, which was coordinated by the interface bonding and the dual oxygen vacancies for efficient photocatalytic degradation activity of tetracycline. Both experimental results and theoretical calculations elucidated that the compact 1D/2D structure and dual oxygen vacancies induced interfacial Br-O-Ce bond to act as charge bridges providing direct ohmic contacts, thus realizing a Z-scheme charge transfer mechanism that promoted effective charge separation and maximized the redox capacity. Meanwhile, the surface potential was 31.92 mV, indicating the creation of a strong interface electric field (IEF). As part of the strong synergy of the Br-O-Ce bond, IEF and dual oxygen vacancies, the optimal defective CeO2-x@Bi-rich Bi4O5Br2 exhibited superior photocatalytic activity and 85.40 % tetracycline (TC) was decomposed within 40 min, which was 65.7 and 2.1 times higher than CeO2-x and Bi4O5Br2, respectively. Besides, electrons quickly migrated through the formed Br-O-Ce bonds to the catalytic sites, accelerating charge separation. Our findings provide new insights to develop the interfacial chemical bond and dual oxygen vacancies modulated Z‐scheme charge transfer for efficient photocatalysis.
{"title":"Designing interfacial chemical bond by anchoring defective CeO2-x nanorods with bismuth-rich Bi4O5Br2 nanosheets: Modulated Z-scheme charge transfer for photocatalytic degradation of antibiotic","authors":"Jianbang Chen, Zhiyong Yang, Xingwang Long, Lei Liu, Tuan Guo, Daotong You","doi":"10.1016/j.seppur.2024.130927","DOIUrl":"https://doi.org/10.1016/j.seppur.2024.130927","url":null,"abstract":"Exploring and implementing precise carrier-transfer channels in the interface of Z-scheme heterojunctions are crucial and considered significant challenges. Here, a one-dimensional/two-dimensional (1D/2D) heterostructure Z-scheme photocatalyst was constructed by in situ growing of defective CeO<sub>2-x</sub> nanorods on the surface of Bi-rich Bi<sub>4</sub>O<sub>5</sub>Br<sub>2</sub> nanosheets, which was coordinated by the interface bonding and the dual oxygen vacancies for efficient photocatalytic degradation activity of tetracycline. Both experimental results and theoretical calculations elucidated that the compact 1D/2D structure and dual oxygen vacancies induced interfacial Br-O-Ce bond to act as charge bridges providing direct ohmic contacts, thus realizing a Z-scheme charge transfer mechanism that promoted effective charge separation and maximized the redox capacity. Meanwhile, the surface potential was 31.92 mV, indicating the creation of a strong interface electric field (IEF). As part of the strong synergy of the Br-O-Ce bond, IEF and dual oxygen vacancies, the optimal defective CeO<sub>2-x</sub>@Bi-rich Bi<sub>4</sub>O<sub>5</sub>Br<sub>2</sub> exhibited superior photocatalytic activity and 85.40 % tetracycline (TC) was decomposed within 40 min, which was 65.7 and 2.1 times higher than CeO<sub>2-x</sub> and Bi<sub>4</sub>O<sub>5</sub>Br<sub>2</sub>, respectively. Besides, electrons quickly migrated through the formed Br-O-Ce bonds to the catalytic sites, accelerating charge separation. Our findings provide new insights to develop the interfacial chemical bond and dual oxygen vacancies modulated Z‐scheme charge transfer for efficient photocatalysis.","PeriodicalId":427,"journal":{"name":"Separation and Purification Technology","volume":"82 1","pages":""},"PeriodicalIF":8.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1038/s41545-024-00409-3
Maura C. Allaire, Bianca Brusco, Amal Bakchan, Mark A. Elliott, Mallory A. Jordan, Jillian Maxcy-Brown, Kevin D. White
Uneven access to water and wastewater infrastructure is shaped by local governance. A substantial number of U.S. households lack adequate access and the U.S. is one of the few countries with large populations living outside of city bounds, in unincorporated areas. Few studies address how infrastructure services and local governance are intertwined at a regional scale. We examine the connection between incorporation status and access to centralized infrastructure, using negative binomial regression. A novel dataset informs this analysis, comprised of 31,383 Census block groups located in nine states representing over 25% of the national population. We find evidence that inequities in access are associated with unincorporated status and poverty rates. Sewer coverage rates are significantly lower for unincorporated communities in close proximity to municipal boundaries. Infrastructure equity could be improved by targeting high-poverty unincorporated communities, addressing challenges with noncontiguous service areas, and strengthening regional water planning and participatory governance.
{"title":"Water and wastewater infrastructure inequity in unincorporated communities","authors":"Maura C. Allaire, Bianca Brusco, Amal Bakchan, Mark A. Elliott, Mallory A. Jordan, Jillian Maxcy-Brown, Kevin D. White","doi":"10.1038/s41545-024-00409-3","DOIUrl":"https://doi.org/10.1038/s41545-024-00409-3","url":null,"abstract":"<p>Uneven access to water and wastewater infrastructure is shaped by local governance. A substantial number of U.S. households lack adequate access and the U.S. is one of the few countries with large populations living outside of city bounds, in unincorporated areas. Few studies address how infrastructure services and local governance are intertwined at a regional scale. We examine the connection between incorporation status and access to centralized infrastructure, using negative binomial regression. A novel dataset informs this analysis, comprised of 31,383 Census block groups located in nine states representing over 25% of the national population. We find evidence that inequities in access are associated with unincorporated status and poverty rates. Sewer coverage rates are significantly lower for unincorporated communities in close proximity to municipal boundaries. Infrastructure equity could be improved by targeting high-poverty unincorporated communities, addressing challenges with noncontiguous service areas, and strengthening regional water planning and participatory governance.</p>","PeriodicalId":19375,"journal":{"name":"npj Clean Water","volume":"8 1","pages":""},"PeriodicalIF":11.4,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142760593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.oceaneng.2024.119936
Hai-Yang Wang , Bin Huang , Tao Guo , Peng-Zhong Wang , Zi-Hao Zhang
Tip leakage flow widely exists in fluid machinery, which affects the unit's mainstream flow state and induces significant flow loss. This study explores the relationship between vortex motion and hydraulic loss in the fluid field of single hydrofoil and tandem double hydrofoils under the effect of tip clearance. The validation work indicates that the simulation results in this study align with previous experimental findings, verifying the accuracy of the method employed herein. Further analysis reveals that: (1) The existence of clearance can induce a series of vortex structures such as tip leakage vortex(TLV), tip separation vortex(TSV), hairpin vortex(HV), and wingtip vortex(WTV). The length of TLV is greatly affected by increase of clearance width. The TLV and TSV undergo three stages of generation, development, and dissipation during the fluid flows though hydrofoil, greatly affecting flow stability. (2) Vortex motion is accompanied by significant turbulent pulsation, resulting in entropy production and inducing hydraulic loss. The calculation results indicate that approximately 75% of the loss is generated in the zones of midstream and downstream(V2+V3), where the vortex structure is full developed and the vortex motion is violent. Additionally, the loss caused by turbulent dissipation term accounts for 98%, while the loss caused by viscous dissipation accounts less 2%. (3) The loss in single hydrofoil is approximately positively correlated with the clearance width, while it fluctuates with the increase of width in tandem double hydrofoils.
{"title":"Analysis of hydrodynamic and loss characteristics of hydrofoil under the effect of tip clearance","authors":"Hai-Yang Wang , Bin Huang , Tao Guo , Peng-Zhong Wang , Zi-Hao Zhang","doi":"10.1016/j.oceaneng.2024.119936","DOIUrl":"10.1016/j.oceaneng.2024.119936","url":null,"abstract":"<div><div>Tip leakage flow widely exists in fluid machinery, which affects the unit's mainstream flow state and induces significant flow loss. This study explores the relationship between vortex motion and hydraulic loss in the fluid field of single hydrofoil and tandem double hydrofoils under the effect of tip clearance. The validation work indicates that the simulation results in this study align with previous experimental findings, verifying the accuracy of the method employed herein. Further analysis reveals that: (1) The existence of clearance can induce a series of vortex structures such as tip leakage vortex(TLV), tip separation vortex(TSV), hairpin vortex(HV), and wingtip vortex(WTV). The length of TLV is greatly affected by increase of clearance width. The TLV and TSV undergo three stages of generation, development, and dissipation during the fluid flows though hydrofoil, greatly affecting flow stability. (2) Vortex motion is accompanied by significant turbulent pulsation, resulting in entropy production and inducing hydraulic loss. The calculation results indicate that approximately 75% of the loss is generated in the zones of midstream and downstream(V<sub>2</sub>+V<sub>3</sub>), where the vortex structure is full developed and the vortex motion is violent. Additionally, the loss caused by turbulent dissipation term accounts for 98%, while the loss caused by viscous dissipation accounts less 2%. (3) The loss in single hydrofoil is approximately positively correlated with the clearance width, while it fluctuates with the increase of width in tandem double hydrofoils.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"316 ","pages":"Article 119936"},"PeriodicalIF":4.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.est.2024.114839
S. Anandha Kumar, T. Shahanas, G. Harichandran
The rapid advancement of capacitive materials has necessitated the modernization of energy storage materials and it is crucial to continue enhancing spinel-structured functional materials in energy storage devices. The tetragonal CuCr2O4 spinel material, leads to the development of an electrochemical method for high-performance energy conversion, was first synthesized by different surfactants. Subsequently, their characteristics and morphology were abruptly changed with the introduction of different surfactants, which can be confirmed by the techniques. This CuCr2O4 material exhibits EDLC behaviour, according to electrochemical studies, but the material produced by the CTAB surfactant offers a higher specific capacitance due to its larger surface area, rougher surface, and more ion adsorption active sites due to its spherical morphology. CuCr2O4 with CTAB was used as the electrode material in a three-electrode configuration to achieve capacitance values of up to 965 F g−1 at a scan rate of 1 A g−1 and offers excellent cyclic stability of 91 % of the initial capacitance after 5000 cycles in 1 M Na2SO4 electrolyte. CuCr-4//AC, an asymmetric supercapacitors (ASC) device, provides a high energy density of 31.59 W h kg−1 with power density of 948 W kg−1 and a high specific capacitance of 89 F g−1 at 0.5 A g−1. Furthermore, at 0.5 A g−1, the ASC maintains a high cycling stability of 88.3 % across 10,000 CV cycles, and hence CuCr2O4 nanospheres can be a promising electrode material for enhanced energy storage devices due to their better electrochemical performance.
{"title":"Synthesis and fabrication of tetragonal copper chromite nanospheres for usage as the cathode material in asymmetric supercapacitors","authors":"S. Anandha Kumar, T. Shahanas, G. Harichandran","doi":"10.1016/j.est.2024.114839","DOIUrl":"10.1016/j.est.2024.114839","url":null,"abstract":"<div><div>The rapid advancement of capacitive materials has necessitated the modernization of energy storage materials and it is crucial to continue enhancing spinel-structured functional materials in energy storage devices. The tetragonal CuCr<sub>2</sub>O<sub>4</sub> spinel material, leads to the development of an electrochemical method for high-performance energy conversion, was first synthesized by different surfactants. Subsequently, their characteristics and morphology were abruptly changed with the introduction of different surfactants, which can be confirmed by the techniques. This CuCr<sub>2</sub>O<sub>4</sub> material exhibits EDLC behaviour, according to electrochemical studies, but the material produced by the CTAB surfactant offers a higher specific capacitance due to its larger surface area, rougher surface, and more ion adsorption active sites due to its spherical morphology. CuCr<sub>2</sub>O<sub>4</sub> with CTAB was used as the electrode material in a three-electrode configuration to achieve capacitance values of up to 965 F g<sup>−1</sup> at a scan rate of 1 A g<sup>−1</sup> and offers excellent cyclic stability of 91 % of the initial capacitance after 5000 cycles in 1 M Na<sub>2</sub>SO<sub>4</sub> electrolyte. CuCr-4//AC, an asymmetric supercapacitors (ASC) device, provides a high energy density of 31.59 W h kg<sup>−1</sup> with power density of 948 W kg<sup>−1</sup> and a high specific capacitance of 89 F g<sup>−1</sup> at 0.5 A g<sup>−1</sup>. Furthermore, at 0.5 A g<sup>−1</sup>, the ASC maintains a high cycling stability of 88.3 % across 10,000 CV cycles, and hence CuCr<sub>2</sub>O<sub>4</sub> nanospheres can be a promising electrode material for enhanced energy storage devices due to their better electrochemical performance.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"106 ","pages":"Article 114839"},"PeriodicalIF":8.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.est.2024.114857
Yeping Liu , Qianpeng Jin , Yuchi Wang , Zongyi Qin
The rapid−growing demand for flexible and wearable electronics has driven increased interest in developing porous electrodes with outstanding charge storage capacity especially areal capacity for polymeric and hybrid supercapacitors. Herein, unique porous polyaniline/holey graphene/carbon cloth (PANI/HG/CC) composite electrodes were constructed by combining rapid frozen interfacial polymerization and layer−by−layer spraying to restrict the growth of PANI nanofiber arrays between carbon−based materials. Benefiting from rapid charge transport, more electroactive sites and improved electrolyte penetration provided by hierarchical porous structure and highly oriented PANI nanofibers in the composite (P − G) by growing directly PANI array on the CC and applying graphene sheets as interlayer and cover layer, an areal specific capacitance of 3.22 F cm−2 at 5 mA cm−2 was achieved. A maximum areal energy density of up to 104.86 μWh cm−2, and excellent capacity retention of 89.5 % at 20 mA cm−2 after 5000 cycles also were achieved for flexible symmetric all−solid−state supercapacitor. Furthermore, the zinc−ion hybrid supercapacitor (P − G||Zn) assembled with P − G cathode and Zn anode could display a capacity of 217.7 mAh g−1 at 0.2 A g−1, and the maximum energy density of 130.6 Wh kg−1 at the power density of 120 W kg−1.
{"title":"Restricted growth of polyaniline nanofiber arrays between holey graphene sheets on carbon cloth towards improved charge storage capacity","authors":"Yeping Liu , Qianpeng Jin , Yuchi Wang , Zongyi Qin","doi":"10.1016/j.est.2024.114857","DOIUrl":"10.1016/j.est.2024.114857","url":null,"abstract":"<div><div>The rapid−growing demand for flexible and wearable electronics has driven increased interest in developing porous electrodes with outstanding charge storage capacity especially areal capacity for polymeric and hybrid supercapacitors. Herein, unique porous polyaniline/holey graphene/carbon cloth (PANI/HG/CC) composite electrodes were constructed by combining rapid frozen interfacial polymerization and layer−by−layer spraying to restrict the growth of PANI nanofiber arrays between carbon−based materials. Benefiting from rapid charge transport, more electroactive sites and improved electrolyte penetration provided by hierarchical porous structure and highly oriented PANI nanofibers in the composite (P − G) by growing directly PANI array on the CC and applying graphene sheets as interlayer and cover layer, an areal specific capacitance of 3.22 F cm<sup>−2</sup> at 5 mA cm<sup>−2</sup> was achieved. A maximum areal energy density of up to 104.86 μWh cm<sup>−2</sup>, and excellent capacity retention of 89.5 % at 20 mA cm<sup>−2</sup> after 5000 cycles also were achieved for flexible symmetric all−solid−state supercapacitor. Furthermore, the zinc−ion hybrid supercapacitor (P − G||Zn) assembled with P − G cathode and Zn anode could display a capacity of 217.7 mAh g<sup>−1</sup> at 0.2 A g<sup>−1</sup>, and the maximum energy density of 130.6 Wh kg<sup>−1</sup> at the power density of 120 W kg<sup>−1</sup>.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"106 ","pages":"Article 114857"},"PeriodicalIF":8.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.apenergy.2024.125008
Renyan Mu , Jingshu Zhang , Lu Zhang , Shidi He
As global climate change intensifies, the efficacy of governmental environmental policies and their implementation is pivotal for carbon emission control. The alignment between governmental green initiatives and their actions not only affects authority credibility but also determines the success of environmental governance outcomes. Therefore, investigating the congruence between government green discourse and behavior in achieving “dual carbon” objectives is critical for addressing climate change and facilitating systemic reforms. Applying panel data from 30 provinces in China from 2012 to 2022 based on polynomial regression and response surface, this study summarizes three main pathways through which government green discourse-behavior congruence influences carbon emissions: the state of congruence or incongruence, the degree of congruence, and the direction of incongruence. Congruent government green discourse and behavior more effectively reduce carbon emissions intensity than incongruent ones, while a higher degree of congruence leads to more significant reductions. The direction of incongruence also impacts carbon emissions intensity, particularly when government behaviors fall short of its discourses, leading to a higher carbon intensity growth rate. Furthermore, the moderating role of non-governmental entities' green innovation vitality is considered. The results reveal that the green innovation of non-governmental entities can partly substitute for the need for government discourse-behavior congruence in achieving carbon reduction. Specifically, green innovation of research institutions primarily enhances the positive environmental effects of increased government discourse-behavior congruence degree, while corporate green innovation mainly mitigates the negative environmental impacts of government incongruence direction. Consequently, the deep integration of government environmental initiatives and actions is advocated, along with the stimulation of green innovation among various entities, to more effectively combat global climate change. This study not only extends traditional congruence research from the micro level to the meso and macro levels and fills a theoretical gap, but also provides new insights into the process of government green governance worldwide.
{"title":"Can government green discourse-behavior congruence mitigate carbon emissions? A polynomial regression with response surface analysis","authors":"Renyan Mu , Jingshu Zhang , Lu Zhang , Shidi He","doi":"10.1016/j.apenergy.2024.125008","DOIUrl":"10.1016/j.apenergy.2024.125008","url":null,"abstract":"<div><div>As global climate change intensifies, the efficacy of governmental environmental policies and their implementation is pivotal for carbon emission control. The alignment between governmental green initiatives and their actions not only affects authority credibility but also determines the success of environmental governance outcomes. Therefore, investigating the congruence between government green discourse and behavior in achieving “dual carbon” objectives is critical for addressing climate change and facilitating systemic reforms. Applying panel data from 30 provinces in China from 2012 to 2022 based on polynomial regression and response surface, this study summarizes three main pathways through which government green discourse-behavior congruence influences carbon emissions: the state of congruence or incongruence, the degree of congruence, and the direction of incongruence. Congruent government green discourse and behavior more effectively reduce carbon emissions intensity than incongruent ones, while a higher degree of congruence leads to more significant reductions. The direction of incongruence also impacts carbon emissions intensity, particularly when government behaviors fall short of its discourses, leading to a higher carbon intensity growth rate. Furthermore, the moderating role of non-governmental entities' green innovation vitality is considered. The results reveal that the green innovation of non-governmental entities can partly substitute for the need for government discourse-behavior congruence in achieving carbon reduction. Specifically, green innovation of research institutions primarily enhances the positive environmental effects of increased government discourse-behavior congruence degree, while corporate green innovation mainly mitigates the negative environmental impacts of government incongruence direction. Consequently, the deep integration of government environmental initiatives and actions is advocated, along with the stimulation of green innovation among various entities, to more effectively combat global climate change. This study not only extends traditional congruence research from the micro level to the meso and macro levels and fills a theoretical gap, but also provides new insights into the process of government green governance worldwide.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"380 ","pages":"Article 125008"},"PeriodicalIF":10.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}