Applied Ocean Research最新文献_第5页

Bubble plume dispersion from underwater gas leakage: An experimental and dimensionless modelling study 水下气体泄漏产生的气泡羽流扩散：实验和无量纲模型研究

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-08 DOI: 10.1016/j.apor.2024.104305

Qingyuan Wang , Long Ding , Zhenming Xue , Tao Chen , Xuhai Pan , Michael Short

{"title":"Bubble plume dispersion from underwater gas leakage: An experimental and dimensionless modelling study","authors":"Qingyuan Wang , Long Ding , Zhenming Xue , Tao Chen , Xuhai Pan , Michael Short","doi":"10.1016/j.apor.2024.104305","DOIUrl":"10.1016/j.apor.2024.104305","url":null,"abstract":"<div><div>The large-scale bubble plume and intense fountain effect induced by accidental subsea gas releases pose significant safety and environmental risks. This paper aims to experimentally investigate the effects of different leakage conditions on bubble plume dispersion dynamics and quantitatively study the fountain effect, with a focus on the maximum fountain height modelling and prediction. Typical underwater bubble plume dispersion and surface flow evolution were analysed, revealing their related dynamic features. It was found that there was a transition from bubble flow to jet flow with a decrease in nozzle diameter and an increase in leakage pressure in the establishment zone. Both leakage pressure and nozzle diameter could positively strengthen the connection between the frontal bubble cluster and the plume body to prevent rupture. Two surface flow modes dominated by buoyancy force and momentum drive were proposed, and the effects of different leakage conditions on the bubble plume's characteristic parameters, like rising time, steady propagation velocity, maximum plume diameter, open angle and fountain height were discussed. Finally, the correlation between the dimensionless maximum fountain height and <span><math><mrow><mi>E</mi><mi>u</mi></mrow></math></span><em>,</em> <span><math><mrow><mi>F</mi><mi>r</mi></mrow></math></span>, <span><math><mrow><msub><mi>u</mi><mi>s</mi></msub><msub><mi>t</mi><mi>r</mi></msub><mo>/</mo><mi>d</mi></mrow></math></span> was established by dimensionless and multiple regression analysis. This predictive model exhibits strong generalisation ability that can provide support for potential risk assessment and quantification of underwater gas leakage accidents.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104305"},"PeriodicalIF":4.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659170","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}

引用次数: 0

Real-time hybrid model tank testing for aero-hydro-servo-elastic assessment of a monopile offshore wind turbine 用于单桩海上风力涡轮机气液伺服弹性评估的实时混合模型槽测试

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-07 DOI: 10.1016/j.apor.2024.104304

Jie Fu , Xu Han , Wei Shi , Madjid Karimirad , Xin Li

{"title":"Real-time hybrid model tank testing for aero-hydro-servo-elastic assessment of a monopile offshore wind turbine","authors":"Jie Fu , Xu Han , Wei Shi , Madjid Karimirad , Xin Li","doi":"10.1016/j.apor.2024.104304","DOIUrl":"10.1016/j.apor.2024.104304","url":null,"abstract":"<div><div>Physical model-scale testing could assist in identifying important coupling effects and validating numerical simulations. However, the requirement regarding the dynamic similarity for the offshore wind turbine model is difficult to meet due to the scaling effects. To address this challenge, a testing method is proposed, using a linear actuator to reproduce the required aerodynamic force for the real-time hybrid model test. The magnitudes of the applied force were simulated using a numerical substructure developed based on the aerodynamic coupling analysis. This paper designed the physical substructure of offshore wind turbines, selected the \"Hardware in the Loop\" method, and conducted relevant experiments in a wave tank. The turbulent wind and pitch control were reproduced during the testing process. The experimental data and simulation results were compared and analyzed. The maximum error of the average values of different physical quantities (Rotor thrust force, Tower top displacement) measured was 5.51 %, while the maximum error in the standard values was −10.59 %. The data indicate good consistency between the experimental and simulation results. From the analysis of power spectral density (PSD) results of different physical quantities, it was found that turbulent wind provides significant excitation and energy in the frequency range below wave excitation. The frequency of turbulent wind loads hides the low-frequency second-order wave forces, indicating the necessity of reproducing turbulent winds in experiments. The real-time hybrid model test method can accurately reproduce the turbulent wind load, achieve the combined action of random wind and waves, and improve the model testing level of existing monopile offshore wind turbines.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104304"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659264","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}

引用次数: 0

Validation of OpenFOAM with respect to the elementary processes involved in the generation of waves by subaerial landslides 验证 OpenFOAM 与陆下滑坡产生波浪相关的基本过程

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-07 DOI: 10.1016/j.apor.2024.104296

Amir H. Parvin , Stéphane Abadie , Kamal El Omari , Yves Le Guer

{"title":"Validation of OpenFOAM with respect to the elementary processes involved in the generation of waves by subaerial landslides","authors":"Amir H. Parvin , Stéphane Abadie , Kamal El Omari , Yves Le Guer","doi":"10.1016/j.apor.2024.104296","DOIUrl":"10.1016/j.apor.2024.104296","url":null,"abstract":"<div><div>This study presents a validation of the OpenFOAM multiphase solver (i.e., <span>multiphaseInterFoam</span>) with respect to the elementary processes involved in the simulation of waves generated by high mobility subaerial landslide with a specific focus on the computation of energy terms. These processes include slide flow over a slope, impulse wave generation, wave dispersion, wave propagation and breaking. The simulations are conducted in 2D. The results allow to determine the minimum number of cells and the appropriate model tuning to reach acceptable accuracy while maintaining the computation time in a reasonable limit. To respect energy conservation, the choice of the turbulence model appears critical. Only, with a turbulence including a buoyancy term in the equations to account for the multiphase flow, and optimized initial values of the turbulence model parameters, could be the energy components of the flow accurately calculated. This study highlights the complexity of the phenomenon and the care with which, simulations should be conducted for the accurate computation of the energy transfers in the context of subaerial landslides.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104296"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659266","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}

引用次数: 0

Signal separation and continuous missing value imputation of strain gauge in the icebreaker sensor system 破冰船传感器系统中应变仪的信号分离和连续缺失值估算

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-06 DOI: 10.1016/j.apor.2024.104290

Hyo Beom Heo , Eun-Jin Oh , Seung Hwan Park

{"title":"Signal separation and continuous missing value imputation of strain gauge in the icebreaker sensor system","authors":"Hyo Beom Heo , Eun-Jin Oh , Seung Hwan Park","doi":"10.1016/j.apor.2024.104290","DOIUrl":"10.1016/j.apor.2024.104290","url":null,"abstract":"<div><div>Korea's first icebreaking research vessel, ARAON, has been conducting icebreaking performance tests in polar waters since 2010. These tests collect data to calculate design factors for the structural safety and load optimization of icebreakers. However, due to ARAON's operation in extreme environments, missing values frequently occur in the collected data, leading to unreliable results. This study focuses on imputing missing values from the three-axis strain gauges among various sensors attached to ARAON. Strain gauges, located on the hull plate where collisions with ice occur for local ice load estimation, experience a high frequency of missing values. Imputing missing values from strain gauges presents two major challenges. The first challenge is handling the composite signal. Strain data is a mixture of response signals caused by various external factors, such as hull-ice collisions and engine noise, making it difficult to impute missing values using raw data alone. The second challenge is with continuous missing data. There are still limitations to imputing continuous missing data, which is commonly encountered in real-world scenarios. To address these challenges, locally weighted scatterplot smoothing (LOWESS) regression and Tukey's fences method are used to separate the strain data according to strain components. Subsequently, the within and inter-sensor relationship-based linear regression (WIRLI) is proposed to have good imputation performance even for continuous missing data. The results demonstrate that the WIRLI performs robust imputation even when the missing rate changes. Hence, this model can be applied to impute the missing values in icebreaking performance tests where various missing scenarios occur.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104290"},"PeriodicalIF":4.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659164","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}

引用次数: 0

Computational fluid dynamics driven surrogate model to predict hydrodynamic and acoustic properties of propeller boss cap fins 用计算流体动力学驱动的代用模型预测螺旋桨顶盖鳍片的流体动力学和声学特性

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-06 DOI: 10.1016/j.apor.2024.104293

Jixin Liu , Ze Yu , Fei Yu , Tianhong Yan , Bo He

{"title":"Computational fluid dynamics driven surrogate model to predict hydrodynamic and acoustic properties of propeller boss cap fins","authors":"Jixin Liu , Ze Yu , Fei Yu , Tianhong Yan , Bo He","doi":"10.1016/j.apor.2024.104293","DOIUrl":"10.1016/j.apor.2024.104293","url":null,"abstract":"<div><div>A novel method is proposed to predict the hydrodynamic and acoustic properties of propeller boss cap fins (PBCF) based on computational fluid dynamics (CFD) and surrogate models. The propulsive performance and radiated noise of the B-series propeller equipped with PBCF under open-water and hull-propeller coupling conditions are predicted and analyzed. The transient calculations are performed to generate accurate sample data for the surrogate model based on the Unsteady Reynolds Averaged Navier–Stokes and Ffowcs Williams–Hawkings equations. The response surface, polynomial, and Kriging models are used to learn sample data and output predictions. The relationship between inputs and outputs can be established from local data, which enables to obtain arbitrary response results in the global range. The hydrodynamic performance and radiated noise are compared for configurations with and without PBCF. PBCF improves the open-water efficiency by more than 1.5% at medium to high advance velocities. For the self-propulsion efficiency, over 5% improvement is achieved under ideal working conditions. In addition, PBCF has a directional effect on the radial and axial radiated noise, with better noise reduction in the axial direction. The difference between the axial and radial spectrums is significant, especially near the first blade passing frequency.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104293"},"PeriodicalIF":4.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659262","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}

引用次数: 0

alphaBeach: Self-attention-based spatiotemporal network for skillful prediction of shoreline changes multiple days ahead alphaBeach：基于自我关注的时空网络，巧妙预测未来多日的海岸线变化

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-06 DOI: 10.1016/j.apor.2024.104292

Jinah Kim , Taekyung Kim , Miyoung Yun , Inho Kim , Kideok Do

{"title":"alphaBeach: Self-attention-based spatiotemporal network for skillful prediction of shoreline changes multiple days ahead","authors":"Jinah Kim , Taekyung Kim , Miyoung Yun , Inho Kim , Kideok Do","doi":"10.1016/j.apor.2024.104292","DOIUrl":"10.1016/j.apor.2024.104292","url":null,"abstract":"<div><div>We developed a self-attention-based spatiotemporal network called <span><math><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi></mrow></math></span>Beach that uses spatiotemporal representation learning for skillful prediction of shoreline changes multiple days ahead. The proposed model predicts the spatiotemporal position of the shoreline up to seven consecutive days in the future based on hydrodynamic forcing of ocean waves and tide data for the past 30 consecutive days. It is further divided into <span><math><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi></mrow></math></span>Beach-w/oIC and <span><math><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi></mrow></math></span>Beach-w/IC depending on whether or not the beach state of the antecedent historical shoreline information is used as the initial condition. <span><math><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi></mrow></math></span>Beach-w/oIC, which does not incorporate this information, learns the sequential relationship between hydrodynamic forcing and shoreline to estimate overall trends of shoreline changes including seasonal oscillation from the point in time after model training, given only the ocean waves and tides. <span><math><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi></mrow></math></span>Beach-w/IC does incorporate antecedent historical shoreline information to greatly enhance its predictive accuracy of shoreline progradation, retreat, and beach rotation for short-term time scales and for extreme storm events. The proposed model was applied to Tairua Beach, New Zealand, and it demonstrated superior predictive accuracy compared to previous methods and matched current understanding of accretion-dominated and oscillation-dominated shoreline changes.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104292"},"PeriodicalIF":4.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659263","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}

引用次数: 0

Experimental study on the drag reduction of underwater vehicles by drag-reducing agents injection 通过注入减阻剂减少水下航行器阻力的实验研究

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-06 DOI: 10.1016/j.apor.2024.104303

Xinfeng Zhai , Hongna Zhang , Suming Wang , Haotian Cheng , Kaiting Wang , Yan Wang , Xiaobin Li , Wenhua Zhang , Fengchen Li

{"title":"Experimental study on the drag reduction of underwater vehicles by drag-reducing agents injection","authors":"Xinfeng Zhai , Hongna Zhang , Suming Wang , Haotian Cheng , Kaiting Wang , Yan Wang , Xiaobin Li , Wenhua Zhang , Fengchen Li","doi":"10.1016/j.apor.2024.104303","DOIUrl":"10.1016/j.apor.2024.104303","url":null,"abstract":"<div><div>Underwater vehicles consume much energy to overcome flow resistance; therefore, reducing drag is essential to enhancing its performance. This paper proposes a drag reduction method for underwater vehicles by injecting drag-reducing agents into the turbulent boundary layer of the underwater vehicles and experimentally evaluates its performance based on the scaled suboff model. To this end, the unique injection structure and location are carefully designed to ensure the adherence of the drag-reducing solution on the wall. The polyethyleneoxide (PEO) and ceytltrimethyl ammonium chloride (CTAC) solutions are chosen as the drag-reducing agents. The effects of concentrations, flow rates, and mainstream Reynolds numbers (<em>Re</em>) on the drag reduction performance are investigated by measuring the total drag resistance of the scaled suboff model under different conditions. The results demonstrate that this heterogeneous drag-reducing solution injection strategy performs well in terms of drag reduction for the suboff model. The specially designed injection structure can uniformly distribute the drag-reducing solution to the near-wall region of the suboff model. Under certain conditions, both PEO and CTAC solutions can significantly reduce the total drag resistance and have an optimal concentration at different <em>Re</em>. At their optimal concentrations, the drag reduction of the total resistance can achieve about 59.38% and 48.31% for PEO and CTAC solutions, respectively, at <em>Re</em> = 2.7 × 10<sup>4</sup>. However, with the current design, the drag reduction decreases with the increase of <em>Re</em> due to the difficulty of the drag-reducing agent wrapping around the suboff model effectively. Further work is still necessary to improve the design and the location of the injection structure so that it can adapt to high-<em>Re</em> cases.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104303"},"PeriodicalIF":4.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659265","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}

引用次数: 0

An AI model for predicting the spatiotemporal evolution process of coastal waves by using the Improved-STID algorithm 利用改进的 STID 算法预测海岸波浪时空演变过程的人工智能模型

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-06 DOI: 10.1016/j.apor.2024.104299

Xinyu Huang , Jun Tang , Yongming Shen , Chenhao Zhang

{"title":"An AI model for predicting the spatiotemporal evolution process of coastal waves by using the Improved-STID algorithm","authors":"Xinyu Huang , Jun Tang , Yongming Shen , Chenhao Zhang","doi":"10.1016/j.apor.2024.104299","DOIUrl":"10.1016/j.apor.2024.104299","url":null,"abstract":"<div><div>Accurate and rapid prediction of water wave evolution is crucial for ensuring the safe and healthy operation of ocean and coastal engineering. Using hourly wave data from the coastal areas of the Hawaiian Islands from 2019 to 2021, this study developed an artificial intelligence model for rapidly predicting the spatiotemporal evolution of coastal waves by improving the STID algorithm. In the study, the SWAN wave model was used to generate an initial training dataset for driving Improved-STID algorithm, where the Improved-STID algorithm and SWAN model share the same unstructured computational grid with good adaptability to complex topography. The proposed Improved-STID algorithm takes into account the overall spatiotemporal correlations of wave evolution across different regions. The results show that on the basis of prediction efficiency on a par with the original STID, the Improved-STID can be more accurately applied to the spatiotemporal evolution process of coastal waves. The prediction errors in this study are: the RMSE of 0.23 m, MAE of 0.14 m, MAPE of 17.96 %, and the calculation time of the proposed AI model is only about 1.8 % of that of the SWAN wave model.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104299"},"PeriodicalIF":4.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142659165","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}

引用次数: 0

Investigation of morphodynamic response to the storm-induced currents and waves in the Bay of Bengal 孟加拉湾风暴引起的海流和海浪的形态动力学响应研究

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-05 DOI: 10.1016/j.apor.2024.104285

V.G. Shashank , V. Sriram , Holger Schüttrumpf , S.A. Sannasiraj

{"title":"Investigation of morphodynamic response to the storm-induced currents and waves in the Bay of Bengal","authors":"V.G. Shashank , V. Sriram , Holger Schüttrumpf , S.A. Sannasiraj","doi":"10.1016/j.apor.2024.104285","DOIUrl":"10.1016/j.apor.2024.104285","url":null,"abstract":"<div><div>Storm surges, driven by Tropical Cyclones (TCs), pose a threat to the coastal areas of the Bay of Bengal (BoB), causing sediment transport and beach erosion. This study introduces a coupled hydrodynamic (TELEMAC-2D) -wave (TOMAWAC) -morphodynamic (GAIA) model to investigate morphodynamic changes during storm surges. The cyclonic wind is crucial for precisely predicting storm surges, wind waves, and morphodynamic bed evolution. Thus, this study introduced a modified parametric wind model to enhance wind field representation near and far from the cyclone center. The simulated storm surges and wind waves were validated against in-situ observations for TC Hudhud (2014) and TC Varadah (2016), and the simulated morphodynamic bed evolution was validated with field-measured data collected for TC Nivar (2020). Further, this study evaluates the performance of different bed load transport formulations for predicting morphodynamic bed evolution during TC Nivar (2020) under storm-induced currents and waves. Results indicate that the Engelund-Hansen model is most effective for currents alone, while the Bijker model excels for combined currents and waves along the open coast of BoB. The results also indicate that the incorporation of the effect of waves along with currents has enhanced the predictive capability of the coupled model framework.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104285"},"PeriodicalIF":4.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586403","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}

引用次数: 0

Wave Energy Potential and the Role of Extreme Events on South America's Coasts. A Regional Frequency Analysis 南美洲海岸的波浪能潜力和极端事件的作用。区域频率分析

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2024-11-04 DOI: 10.1016/j.apor.2024.104280

Valeria Mundaca-Moraga , Rodrigo Abarca-del-Rio

{"title":"Wave Energy Potential and the Role of Extreme Events on South America's Coasts. A Regional Frequency Analysis","authors":"Valeria Mundaca-Moraga , Rodrigo Abarca-del-Rio","doi":"10.1016/j.apor.2024.104280","DOIUrl":"10.1016/j.apor.2024.104280","url":null,"abstract":"<div><div>This study examines wave energy potential and generation capacity from extreme waves along South America's Pacific and Atlantic coasts. Utilizing the Regional Frequency Analysis (RFA) method and the WAVERYS wave reanalysis model, 27 homogeneous regions with distinct wave patterns were identified. There's a notable southward increase in median and average wave heights and energy. Unlike previous studies, this research emphasizes the significant role of extreme wave events, which contribute up to 33 % of the total energy—a critical factor often overlooked in regional energy assessments. In the Pacific, three main zones were delineated, with energy peaks reaching 120 kW/m south of 50°S, while the Atlantic identified two zones with energy values ranging from 10 kW/m to 30 kW/m. Zones between 10°S to 40°S in the Pacific and 30°S to 60°S in the Atlantic stand out as particularly promising for energy harvesting. A comprehensive statistical methodology enabled predictions of wave heights and energy for 50 and 100-year return periods, predominantly utilized generalized Pareto and Gumbel distributions. The study affirms the efficacy of the RFA in improving the understanding of wave dynamics and highlights the necessity of integrating extreme events in energy assessments. This research provides a foundation for advancing wave energy initiatives and coastal risk mitigation in South America.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"153 ","pages":"Article 104280"},"PeriodicalIF":4.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577971","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}

引用次数: 0