Renewable Energy最新文献_第8页

Data-driven modeling of wind farm wake flow based on multi-scale feature recognition 基于多尺度特征识别的风电场尾流数据驱动建模

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124517

Dong Xu , Zhaobin Li , Xiaolei Yang , Peng Hou , Bruno Carmo , Xuerui Mao

{"title":"Data-driven modeling of wind farm wake flow based on multi-scale feature recognition","authors":"Dong Xu , Zhaobin Li , Xiaolei Yang , Peng Hou , Bruno Carmo , Xuerui Mao","doi":"10.1016/j.renene.2025.124517","DOIUrl":"10.1016/j.renene.2025.124517","url":null,"abstract":"<div><div>Accurate and efficient predictions of wind flow developments with wake effects accounted are crucial for wind farm layouts and power forecasting. Existing methods can be broadly classified as physical measurement, numerical simulations, physics-based modeling, and data-driven modeling. The first two is of high cost in terms of time and resources, the third suffers from low accuracy due to limited physics modeled, while the last one takes advantage of the large amount of high-quality data available and has become increasingly popular. This study proposes a rapid data-driven modeling method for wind farm wake flow, inspired by video frame interpolation and based on the principle of similarity, which utilizes a multi-scale feature recognition technique. The method transforms wind farm field data into images and predicts wake flow by identifying, matching, and interpolating features from a limited set of wake flow images using the Scale-Invariant Feature Transform (SIFT) and Dynamic Time Warping (DTW) approaches. To demonstrate the effectiveness of the proposed method, six representative cases were evaluated, encompassing mini wind farms with varying turbine spacings, different turbine sizes, combinations of spacing and size variations, different numbers of turbines, and various degrees of wind direction misalignment. A Mean Absolute Percentage Error (MAPE) ranging from 0.68% to 2.28% is achieved. Due to its ability to flexibly compute both 2D and 3D wake flow fields, the proposed method offers unique computational efficiency advantages over Large Eddy Simulation (LES) and Meteodyn WT in scenarios where two-dimensional wake flow fields are sufficient to meet industrial requirements. Therefore, this method can be employed for the extension of the wake flow database serving wind farm design, power prediction, etc., as an alternative to measurements, numerical simulation, and physics-based modeling, balancing efficiency and accuracy.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124517"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262093","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}

引用次数: 0

EV charging scheduling with renewable energy-powered Green Charging Stations: A Multi-Agent Deep Deterministic Policy Gradient approach 基于可再生能源绿色充电站的电动汽车充电调度：多智能体深度确定性策略梯度方法

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124463

Shujuan Wang, Xiaokun Dong, Yaolian Song

{"title":"EV charging scheduling with renewable energy-powered Green Charging Stations: A Multi-Agent Deep Deterministic Policy Gradient approach","authors":"Shujuan Wang, Xiaokun Dong, Yaolian Song","doi":"10.1016/j.renene.2025.124463","DOIUrl":"10.1016/j.renene.2025.124463","url":null,"abstract":"<div><div>With the fast growth in Electric Vehicles (EVs), the demand for electric energy of Internet of Vehicles (IoVs) has increased intensely, resulting in severe issues such as energy efficiency, energy shortage, and carbon emissions. Renewable energy-powered Green Charging Station (GCS) has the potential to solve the above issues, whereas multiple challenges exist in utilizing renewable energy to power IoVs efficiently, such as the uncertainty and fluctuations of both renewable energy and EV charging demand, as well as the inherent influence of user’s preference and behavior on the charging performance. In this paper, we aim to solve these challenges in a typical scenario where charging stations are interchangeably powered by renewable energy sources and grid. A Generative Adversarial Network (GAN)-based forecasting algorithm is designed to predict the renewable energy generation process accurately. Furthermore, a decentralized charging scheduling method based on Multi-Agent Deep Deterministic Policy Gradient (MADDPG) is developed, which constructs the charging scheduling problem as a Markov Decision Process (MDP) and effectively addresses the problem of matching EVs and GCSs, planning EV’s traveling route and selecting charging mode simultaneously. Extensive simulation results demonstrate the effectiveness and superiority of the proposed method in terms of users’ satisfaction, system cost and total time.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124463"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216755","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}

引用次数: 0

Enhancing the performance of Wells turbines with leading-edge external bodies in oscillating water column systems 提高水柱振荡系统中前缘外体井式水轮机的性能

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124544

N. Abdul Settar , S. Sarip , H.M. Kaidi

{"title":"Enhancing the performance of Wells turbines with leading-edge external bodies in oscillating water column systems","authors":"N. Abdul Settar , S. Sarip , H.M. Kaidi","doi":"10.1016/j.renene.2025.124544","DOIUrl":"10.1016/j.renene.2025.124544","url":null,"abstract":"<div><div>Conventional Wells turbines used in Oscillating Water Column (OWC) systems face problems like low torque generation and a limited operating range, which reduce their efficiency in wave energy applications. This research investigates the use of an Ellipse Leading-Edge External Body (LEEB) as a passive flow control device to solve these problems and improve turbine performance. Different LEEB designs were analyzed systematically by changing their length, width, height, and position relative to the leading edge of the turbine blade. Geometric modeling was done using SolidWorks, and computational fluid dynamics (CFD) simulations were carried out with ANSYS-CFX. The simulation results revealed that the optimal ellipse LEEB configuration, with a width of 0.04C, a diameter of 0.016C, and a distance of 0.08C from the leading edge, improved the peak torque coefficient by 38 % and extended the operating range by 22.2 % compared to the baseline model. These findings demonstrate the effectiveness of the ellipse LEEB in delaying flow separation, enhancing energy transfer, and expanding the operational efficiency of Wells turbines. This research underscores the potential of LEEB to advance sustainable wave energy technologies and lays a foundation for future implementation in OWC systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124544"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216533","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}

引用次数: 0

Enhancing offshore wind Resource assessment through neural network-based HF radar data analysis 基于神经网络的高频雷达数据分析增强海上风电资源评价

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124547

Nikolas Martzikos , Matthew Craven , David Walker , Daniel Conley

引用次数: 0

Study on an enhanced YOLOv9 algorithm for detecting stains and damage in photovoltaic panels 一种改进的YOLOv9算法在光伏板污点和损伤检测中的研究

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124540

Mingcheng Ling , Jiahao Zhu , Yuxi Yang , Huiyi Li , Jiangang Yi , Jun Gao , Li Wang

{"title":"Study on an enhanced YOLOv9 algorithm for detecting stains and damage in photovoltaic panels","authors":"Mingcheng Ling , Jiahao Zhu , Yuxi Yang , Huiyi Li , Jiangang Yi , Jun Gao , Li Wang","doi":"10.1016/j.renene.2025.124540","DOIUrl":"10.1016/j.renene.2025.124540","url":null,"abstract":"<div><div>In recent years, photovoltaic (PV) panels have been increasingly adopted globally. However, their surfaces are susceptible to damage and soiling, which can negatively impact the output characteristics of PV modules. While intelligent cleaning robots are now widely used for maintaining PV panels, they still have limitations, such as low recognition accuracy and poor real-time performance in identifying dirt. To address these issues, this study proposes an algorithm based on an improved YOLOv9t model for detecting stains and damage on PV panels. The improvements include adding an All - in - One Dehazing Network (AOD - Net) to reduce the effects of overexposure and blurriness in captured images, replacing the original Conv with Spatial - Depth Conversion Convolution (SPD - Conv) to enhance accuracy and reduce computational complexity, and incorporating an Inverted Residual Mobile Block - Efficient Multi - Scale Attention (iRMB - EMA) mechanism to improve the algorithm's accuracy in complex backgrounds and during camera movements. Experimental results show that the improved YOLOv9t algorithm increases mAP by 5.83 % and reduces the weight file size by 18.21 % compared to other algorithms. This makes it a promising solution for PV panel maintenance and offers a new approach for large-scale photovoltaic power station automation, with the potential to significantly lower costs and enhance solar power generation efficiency.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124540"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262825","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}

引用次数: 0

Optimizing renewable energy systems with hybrid action space reinforcement learning: A case study on achieving net zero energy in Japan 用混合行动空间强化学习优化可再生能源系统：日本实现净零能耗的案例研究

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124493

Yuan Gao , Zehuan Hu , Yuki Matsunami , Ming Qu , Wei-An Chen , Mingzhe Liu

{"title":"Optimizing renewable energy systems with hybrid action space reinforcement learning: A case study on achieving net zero energy in Japan","authors":"Yuan Gao , Zehuan Hu , Yuki Matsunami , Ming Qu , Wei-An Chen , Mingzhe Liu","doi":"10.1016/j.renene.2025.124493","DOIUrl":"10.1016/j.renene.2025.124493","url":null,"abstract":"<div><div>This research introduces a reinforcement learning optimization framework for renewable energy systems, aimed at advancing Net-Zero Energy Buildings integrated with solar photovoltaic, biomass power generation, and battery storage. To address the challenges posed by mixed action spaces in the deployment of reinforcement learning, an algorithm utilizing a parameterized action space has been employed. This study is capable of managing the operational scheduling of various renewable energy sources without incurring additional computational load, thereby achieving Net-Zero Energy Buildings. The proposed model has been case-analyzed based on actual measurement data from existing energy systems. The study’s findings indicate that the reinforcement learning algorithm with a parameterized action space, compared to the baseline model, can enhance off-grid operational performance by 4 %, offering a more promising route towards achieving Net-Zero Energy Buildings. Simultaneously, the time the battery operates within the safe range has increased by 90 % compared to the baseline model, enhancing the system’s energy flexibility. While achieving these objectives, there has been no additional computational burden on the reinforcement learning algorithm. This provides a feasible approach for the zero-carbon operation of office buildings and offers guidance and reference for stakeholders looking to develop similar carbon-neutral structures.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124493"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216887","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}

引用次数: 0

Cyclic in-situ co-pyrolysis of Phoenix Tree's Leaves and Purified Terephthalic Acid Sludge Ash based biochar for producing high-quality syngas 凤凰树叶与纯化对苯二甲酸污泥灰基生物炭原位共热解制备优质合成气

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124532

Xinxin Xing , Wei Fu , Dongming Zhao , Xinlong Zhao , Lei Wang , Yinfeng Wang , Xiaotao Bi , Jinqiang Zhang , Yuezhao Zhu

{"title":"Cyclic in-situ co-pyrolysis of Phoenix Tree's Leaves and Purified Terephthalic Acid Sludge Ash based biochar for producing high-quality syngas","authors":"Xinxin Xing , Wei Fu , Dongming Zhao , Xinlong Zhao , Lei Wang , Yinfeng Wang , Xiaotao Bi , Jinqiang Zhang , Yuezhao Zhu","doi":"10.1016/j.renene.2025.124532","DOIUrl":"10.1016/j.renene.2025.124532","url":null,"abstract":"<div><div>An innovative cyclic in-situ co-pyrolysis process was proposed for the synergistic treatment of Phoenix Tree Leaves (PTL) and Purified Terephthalic Acid Sludge Ash (PTASA). The influence of cyclic co-pyrolysis on the evolution of three-phase products, tar composition, and biochar stability was systematically investigated, and the underlying synergistic mechanism was elucidated. Results indicated that the Comprehensive pyrolysis index (CPI) value increased by 261 % in the fourth round of cyclic co-pyrolysis. Meanwhile, the addition of PTASA enhanced the yield of syngas to 69.77 %, and facilitated the tar cracking, reducing the tar yield to 1.98 %, as the tar components more than 10 carbon atoms were further decomposed. In the co-pyrolysis process, the elements Mn and Ca mainly existed in the stable form of (CaO)<sub>0.9</sub>(MnO)<sub>0.1</sub>, while Co existed in the metallic (Co) and oxide (CoO) forms due to the reduction by carbon and the oxidation by oxygenated compounds in oxygen-rich PTL. Notably, the biochar derived from the fifth round of cyclic co-pyrolysis exhibited the lowest H/C and O/C values, indicating the highest thermal stability.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124532"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216749","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}

引用次数: 0

Identification of wind inflow characteristics from nacelle lidar measurements in the induction zone of a 9 MW wind turbine 9mw风力机诱导区吊舱激光雷达测风特征识别

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124523

Yufeng Fang , Cuiping Li , Lei Liu , Feng Guo , Zhen Gao

{"title":"Identification of wind inflow characteristics from nacelle lidar measurements in the induction zone of a 9 MW wind turbine","authors":"Yufeng Fang , Cuiping Li , Lei Liu , Feng Guo , Zhen Gao","doi":"10.1016/j.renene.2025.124523","DOIUrl":"10.1016/j.renene.2025.124523","url":null,"abstract":"<div><div>For large rotor wind turbines, identifying inflow wind characteristics is crucial for their design and operation. During the design stage, anemometers are commonly used to observe wind shear, turbulence spectra, coherence, and turbulence intensity. However, for large wind turbines, anemometers often take measurements below the hub height, leading to discrepancies between actual wind conditions above the hub height and those assumed during the design stage. This makes it challenging to achieve a closed-loop design and compromises the safe operation of large-scale wind turbines. Nacelle-based wind lidar systems can observe wind conditions above and below the hub height in front of the rotor, providing a wind preview for feed-forward control. However, lidar systems designed for feed-forward control often take measurements within the rotor’s induction zone, where wind speeds are lower in regions closer to the rotor. State-of-the-art wind turbine simulations are primarily based on blade element momentum theory. Both wind turbine controller design and load validation require free-stream incoming wind characteristics as input conditions. Therefore, this paper presents a method for identifying free-stream inflow wind characteristics using a lidar system with a maximum measurement distance of 200m in front of the rotor. The study is based on a 9MW turbine with a rotor diameter of 230m and is of great significance for guiding the wind energy industry in both load verification and feed-forward control improvements using nacelle lidar.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124523"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216756","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}

引用次数: 0

Surface texturing for advanced light management in crystalline silicon solar cells: From submicron pyramid fabrication to outdoor validation 晶体硅太阳能电池先进光管理的表面纹理：从亚微米金字塔制造到室外验证

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124546

Sihua Zhong , Cheng Qian , Fucheng Yu , Zehao Wu , Zengguang Huang , Haipeng Yin , Junbing Zhang , Han Xu , Rong Xu , Wenzhong Shen

{"title":"Surface texturing for advanced light management in crystalline silicon solar cells: From submicron pyramid fabrication to outdoor validation","authors":"Sihua Zhong , Cheng Qian , Fucheng Yu , Zehao Wu , Zengguang Huang , Haipeng Yin , Junbing Zhang , Han Xu , Rong Xu , Wenzhong Shen","doi":"10.1016/j.renene.2025.124546","DOIUrl":"10.1016/j.renene.2025.124546","url":null,"abstract":"<div><div>Silicon micropyramids (SiMPs) are the standard texturization structure in the current industrial crystalline silicon solar cells. However, their antireflection effects, particularly at oblique angles, are limited. Silicon submicron/nanostructures offer superior broad-angle light management. This study reports a rapid, single-step method to fabricate dense silicon submicron pyramids (SiSMPs, average base of 0.68–0.76 μm) by adding indium tin oxide to a conventional alkaline etchant, generating essential nucleation agent. The engineered SiSMP structures exhibit strong Mie scattering resonances and consequently lower reflectance than SiMP textures across a broad wavelength range. Through combined experiment and simulation, we demonstrate that solar cell architecture - correlated with coating films on the textured surface - must be appropriately selected to effectively leverage SiSMPs' optical benefits across all wavelengths. With enhanced optical performance and improved current paths between Ag electrodes and the silicon surface, SiSMPs-textured solar cells achieve a 1 % absolute increase in power conversion efficiency over SiMPs-textured counterparts. Furthermore, these cells show quasi-omnidirectional antireflection performance, validated by both laboratory measurements and outdoor testing. Benefiting from advanced light management, SiSMPs-textured solar cells yield 6.8 % higher daily energy output and demonstrate superior performance under shaded conditions, positioning SiSMPs as a promising texture for future crystalline silicon photovoltaics.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124546"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216892","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}

引用次数: 0

Optimising green hydrogen production across Europe: How renewable energy sources shape plant design and costs 优化整个欧洲的绿色氢气生产：可再生能源如何影响工厂设计和成本

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2025-09-29 DOI: 10.1016/j.renene.2025.124542

Paolo Marocco, Marta Gandiglio, Massimo Santarelli

{"title":"Optimising green hydrogen production across Europe: How renewable energy sources shape plant design and costs","authors":"Paolo Marocco, Marta Gandiglio, Massimo Santarelli","doi":"10.1016/j.renene.2025.124542","DOIUrl":"10.1016/j.renene.2025.124542","url":null,"abstract":"<div><div>Green hydrogen is widely recognised as a key enabler for decarbonising heavy industry and long-haul transport. However, producing it cost-competitively from variable renewable energy sources presents design challenges. In this study, a mixed-integer linear programming (MILP) optimisation framework is developed to minimise the levelised cost of hydrogen (LCOH) from renewable-powered electrolysers. The analysis covers all European countries and explores how wind and solar resource availability influences the optimal sizing of renewable generators, electrolysers, hydrogen storage, and batteries under both current and future scenarios. Results show that renewable resource quality strongly affects system design and hydrogen costs. At present, solar-only systems yield LCOH values of 7.4–24.7 €/kg, whereas wind-only systems achieve lower costs (5.1–17.1 €/kg) due to higher capacity factors and reduced storage requirements. Hybrid systems, combining solar and wind, emerge as the most cost-effective solution, reducing average LCOH by 57 % compared to solar-only systems and 25 % compared to wind-only systems, effectively narrowing geographical cost disparities. In the future scenario, LCOH declines to 3–4 €/kg, confirming renewable hydrogen's potential to become economically competitive throughout Europe. A key contribution of this work is the derivation of design guidelines by correlating renewable resource quality with technical, energy and economic indicators.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124542"},"PeriodicalIF":9.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145262097","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}

引用次数: 0