Journal of Renewable and Sustainable Energy最新文献_第6页

Use of an optical profilometer to measure the aerodynamic shape and the twist of a wind turbine blade 使用光学轮廓仪测量风力涡轮机叶片的气动形状和扭曲度

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0176454

E. Torres-Moreno, V. Moreno-Oliva, M. Campos-García, J. R. Dorrego-Portela, Orlando Lastres-Danguillecourt, N. Farrera-Vázquez

{"title":"Use of an optical profilometer to measure the aerodynamic shape and the twist of a wind turbine blade","authors":"E. Torres-Moreno, V. Moreno-Oliva, M. Campos-García, J. R. Dorrego-Portela, Orlando Lastres-Danguillecourt, N. Farrera-Vázquez","doi":"10.1063/5.0176454","DOIUrl":"https://doi.org/10.1063/5.0176454","url":null,"abstract":"This study introduces a metrological approach to measure the aerodynamic shape and the twist of a wind turbine blade. The optical profilometer measurement technique used is laser triangulation. A camera records the image of a line projected onto a section of the blade and, by reconstructing the airfoil shape, the twist angular position of the profile with respect to the axial line of the blade is determined. This methodology is applied to test different sections of a Wortmann FX 63-137 airfoil with a length of 1700 mm. The results of the aerodynamic shape and twist angle are quantitatively verified by comparing them with the ideal or design values. The reconstruction process achieved a resolution of 0.06 mm, and measurement errors in the twist angular position were less than 0.1°. The presented method is efficient, accurate, and low cost to evaluate the blade profiles of low-power wind turbines. However, due to its easy implementation, it is expected to be able to measure any full-scale wind blade profile up to several meters in length.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139457599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 assessment of a morphing trailing edge device for wind turbine blade performance improvement 用于提高风力涡轮机叶片性能的后缘变形装置的实验评估

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0174768

L. Giammichele, V. D’Alessandro, M. Falone, R. Ricci

{"title":"Experimental assessment of a morphing trailing edge device for wind turbine blade performance improvement","authors":"L. Giammichele, V. D’Alessandro, M. Falone, R. Ricci","doi":"10.1063/5.0174768","DOIUrl":"https://doi.org/10.1063/5.0174768","url":null,"abstract":"Nowadays, wind energy plays a central role in the renewable energy production, and the optimization of wind turbine performance is the focus of current research studies. In this context, morphing trailing edge system could be a promising solution to enhance wind turbine blades' aerodynamic performance. In this paper, an innovative morphing trailing edge system was designed, developed, and tested to improve the performance of a wind turbine blade airfoil. The trailing edge deformation is electrically operated through piezoelectric actuators and a compliant surface. Wind tunnel tests were performed for the sake of system validation at Reynolds number equal to 1.75×105 and 3.5×105 and an angle of attack ranging from −8° to 8°. The results put in evidence the effectiveness of the proposed morphing trailing edge system to enhance the aerodynamic performance. The trailing edge deformation allows to increase or decrease the lift coefficient. The mean percentage difference of lift coefficient was found equal to −83.6% and 68.4% for an upward and downward deflection, respectively. Meanwhile, the drag coefficient does not have a significant variation. Consequently, the aerodynamic efficiency will be increased or decreased keeping the angle of attack unchanged. The mean percentage difference of efficiency was found equal to −83.2% and 77.5% for an upward and downward deflection, respectively. In this way, it would be possible to optimize wind turbine blades' efficiency and production under different operating conditions.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Two three-dimensional super-Gaussian wake models for hilly terrain 丘陵地形的两种三维超高斯唤醒模型

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0174297

Linsheng Dai, Zhumei Luo, Tao Guo, Haocheng Chao, Guanghe Dong, Zhikai Hu

{"title":"Two three-dimensional super-Gaussian wake models for hilly terrain","authors":"Linsheng Dai, Zhumei Luo, Tao Guo, Haocheng Chao, Guanghe Dong, Zhikai Hu","doi":"10.1063/5.0174297","DOIUrl":"https://doi.org/10.1063/5.0174297","url":null,"abstract":"With the increase in wind farms in hilly terrain, it is particularly important to explore the downstream wake expansion of wind turbines in hilly terrains. This study established two complex terrain-applicable super-Gaussian wake models based on the Coanda effect and the wind speed-up phenomenon. Then, by considering the wind shear effect and the law of mass conservation, two three-dimensional (3D) super-Gaussian wake models were obtained. The 3D super-Gaussian models were used to describe the shape of the wake deficit and could reflect the wake changes in the full wake region. The introduction of the Coanda effect could reflect the sinking of the wind turbine wake on the top of a hilly terrain. And considering that the wind speed-up phenomenon could better reflect the incoming velocity distribution of the actual hilly terrain. The validation results demonstrated that the prediction results of the 3D super-Gaussian wake models had negligible relative errors compared to the measured data and could better describe the vertical and horizontal expansion changes of the downstream wake. The models established in this study can assist with the development of complex terrain models and super-Gaussian models, as well as providing guidance for power prediction and wind turbine control strategies in complex terrain.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139455595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

A transient performance evaluation of a porous evaporative cooler for preservation of fruits and vegetables 用于水果和蔬菜保鲜的多孔蒸发冷却器的瞬态性能评估

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0179085

Rosemary O. Paul-Okore, Chima C. Ike, Godswill N. Nwaji, O. C. Nwufo, N. Ogueke, E. E. Anyanwu

{"title":"A transient performance evaluation of a porous evaporative cooler for preservation of fruits and vegetables","authors":"Rosemary O. Paul-Okore, Chima C. Ike, Godswill N. Nwaji, O. C. Nwufo, N. Ogueke, E. E. Anyanwu","doi":"10.1063/5.0179085","DOIUrl":"https://doi.org/10.1063/5.0179085","url":null,"abstract":"A transient performance of a porous evaporative cooling system was carried out using mathematical models developed from the first principles. The models are based on energy and mass balance analysis on different sections of the evaporative cooler. The developed models were solved using a FlexPDE computational fluid dynamics analyzer, based on the finite element, to generate numerical solutions. The models developed were validated using experimental data from a properly designed, constructed, and tested an evaporative cooler and subsequently used to determine the evaporative cooler performance during four different periods of the year covering the two major climatic seasons experienced in Nigeria. Results obtained showed a reduction in the storage chamber temperature by up to 9 °C from the ambient air condition which was within the range of 22–33 °C. Furthermore, it was observed that it performs best during the dry seasons as compared to the wet season. However, during both seasons, the cooling chamber temperature significantly remained below the ambient value. Thus, the evaporative cooler can serve as an effective means of reducing heat-induced post-harvest losses incurred by farmers while also helping in combating climate change since it uses only water and does not require any external energy input.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140517257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms 风资源不确定性对海上风电场发电量估算的影响评估

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0166830

Kerry S. Klemmer, Emily P. Condon, M. Howland

{"title":"Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms","authors":"Kerry S. Klemmer, Emily P. Condon, M. Howland","doi":"10.1063/5.0166830","DOIUrl":"https://doi.org/10.1063/5.0166830","url":null,"abstract":"Wind farm design generally relies on the use of historical data and analytical wake models to predict farm quantities, such as annual energy production (AEP). Uncertainty in input wind data that drive these predictions can translate to significant uncertainty in output quantities. We examine two sources of uncertainty stemming from the level of description of the relevant meteorological variables and the source of the data. The former comes from a standard practice of simplifying the representation of the wind conditions in wake models, such as AEP estimates based on averaged turbulence intensity (TI), as opposed to instantaneous. Uncertainty from the data source arises from practical considerations related to the high cost of in situ measurements, especially for offshore wind farms. Instead, numerical weather prediction (NWP) modeling can be used to characterize the more exact location of the proposed site, with the trade-off of an imperfect model form. In the present work, both sources of input uncertainty are analyzed through a study of the site of the future Vineyard Wind 1 offshore wind farm. This site is analyzed using wind data from LiDAR measurements located 25 km from the farm and NWP data located within the farm. Error and uncertainty from the TI and data sources are quantified through forward analysis using an analytical wake model. We find that the impact of TI error on AEP predictions is negligible, while data source uncertainty results in 0.4%–3.7% uncertainty over feasible candidate hub heights for offshore wind farms, which can exceed interannual variability.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139455777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Efficient surrogate-assisted importance sampling for rare event assessment in probabilistic power flow 针对概率电力流中罕见事件评估的高效代理辅助重要性采样

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0177383

Chenxu Wang, Yixi Zhou, Yan Peng, Xiaohua Xuan, Deqiang Gan, Junchao Ma

{"title":"Efficient surrogate-assisted importance sampling for rare event assessment in probabilistic power flow","authors":"Chenxu Wang, Yixi Zhou, Yan Peng, Xiaohua Xuan, Deqiang Gan, Junchao Ma","doi":"10.1063/5.0177383","DOIUrl":"https://doi.org/10.1063/5.0177383","url":null,"abstract":"In recent years, the increasing integration of renewable energy and electric vehicles has exacerbated uncertainties in power systems. Operators are interested in identifying potential violation events such as overvoltage and overload via probabilistic power flow calculations. Evaluating the violation probabilities requires sufficient accuracy in tail regions of the output distributions. However, the conventional Monte Carlo simulation and importance sampling typically require numerous samples to achieve the desired accuracy. The required power flow simulations result in substantial computational burdens. This study addresses this challenge by proposing a surrogate-assisted importance sampling method. Specifically, a high-fidelity radial basis function-based surrogate is constructed to approximate the nonlinear power flow model. Subsequently, the surrogate is embedded in the conventional importance sampling technique to evaluate the rare probabilities with high efficiency and reasonable accuracy. The computational strengths of the proposed method are validated in the IEEE 14-bus, 118-bus, and realistic 736-bus systems through comparisons with several well-developed methods. The comparisons provide a reference for system operators to select the appropriate method for evaluating violations based on the intended applications.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Inter-provincial factors decomposition and decoupling analysis of generalized agricultural carbon emissions in China 中国广义农业碳排放的省际因子分解与解耦分析

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0167854

Lei Wen, Wenyu Xue

{"title":"Inter-provincial factors decomposition and decoupling analysis of generalized agricultural carbon emissions in China","authors":"Lei Wen, Wenyu Xue","doi":"10.1063/5.0167854","DOIUrl":"https://doi.org/10.1063/5.0167854","url":null,"abstract":"China, a country with a long-standing agricultural legacy, is increasingly prioritizing the reduction of CO2 emissions from its agricultural sector. Initially, the carbon emission sources within the agricultural sector are classified into two categories: direct and indirect emissions. Using this classification, the study calculates the generalized agricultural carbon emissions (GACEs) of 30 provinces in China between 2011 and 2020. To further understand the factors influencing GACEs, the paper employs the logarithmic mean Divisia index method and Tapio decoupling index to analyze seven key factors. These factors include carbon emission intensity, energy consumption of generalized agriculture, and economic benefit level of energy consumption. By comparing the impact and changes of GACEs during the 12th and 13th five-year plan periods, the study reveals valuable insights. The findings suggest that carbon emission intensity plays a crucial role in suppressing GACEs, while the level of economic development acts as a catalyst for their increase. By effectively managing these influencing factors, the paper proposes that the increase in GACEs can be effectively suppressed, and the achievement of agricultural CO2 reduction goals can be expedited.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139636868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

A decentralized dispatch model for multiple micro energy grids system considering renewable energy uncertainties and energy interactions 考虑可再生能源不确定性和能源相互作用的多微型能源网系统分散调度模型

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0192716

Shengli Si, Wei Sun, Yuwei Wang

{"title":"A decentralized dispatch model for multiple micro energy grids system considering renewable energy uncertainties and energy interactions","authors":"Shengli Si, Wei Sun, Yuwei Wang","doi":"10.1063/5.0192716","DOIUrl":"https://doi.org/10.1063/5.0192716","url":null,"abstract":"Micro energy grids (MEGs) play a vital role in realizing carbon neutrality and efficient utilization of renewable energy resources. This research focuses on optimizing the synergy of MEG interconnections. Given the diverse development paths of different operating entities within the system, information barriers emerge among MEGs, creating great difficulties for the collaborative system management. In response, this paper proposes a decentralized coordinated dispatch model targeting multiple stakeholders within the system. This model accounts for energy interactions between MEGs and the inherent uncertainty associated with renewable energy sources. Specifically, stochastic optimization approach was applied to characterize the uncertainty of renewable energy output by generating stochastic scenarios. Furthermore, it incorporates the analytical target cascading (ATC) method to decouple objective functions and constraints, creating autonomous scheduling sub-models for individual MEGs. This decentralized approach ensures independent modeling and coordinated problem-solving. Simulations verify that (1) the ATC-based inter-MEG energy interaction strategy effectively achieves decentralized coordinated scheduling of multiple MEGs and (2) the decentralized coordinated scheduling solution closely approximates the global optimum while considering the interest of various system entities.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Optimization and control strategy for wind turbine aerodynamic performance under uncertainties 不确定因素下风力涡轮机空气动力性能的优化与控制策略

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0167442

Hongyan Tian, Zhihao Tang, Heng Ouyang, Rong Wang, Fang Wang, Shuyong Duan

{"title":"Optimization and control strategy for wind turbine aerodynamic performance under uncertainties","authors":"Hongyan Tian, Zhihao Tang, Heng Ouyang, Rong Wang, Fang Wang, Shuyong Duan","doi":"10.1063/5.0167442","DOIUrl":"https://doi.org/10.1063/5.0167442","url":null,"abstract":"Aerodynamic performance of wind turbine governs the overall energy efficiency, which has been an ever-lasting research focus in the field of wind power technology. Due to the coupling effect among the highly complex environmental and structural uncertainties, the practical aerodynamic performance may not be reliably predicted. To aggravate, this performance declines with time in service. It is of great significance to efficiently and reliably assess the impact of uncertain factors and reduce these influences on wind turbine aerodynamic performance. This paper establishes an uncertainty analysis and robustness optimization model of wind turbine aerodynamic performance considering wind speed and pitch angle error uncertainties. An approach combined the no-instrusive probabilistic collocation method is used, and the blade element momentum theory is applied to quantify influences of variable uncertainties on NREL 5 MW wind turbine aerodynamic performance. The optimization target is to reduce the sensitivity of wind turbine aerodynamic performance to uncertainties, as well as maintain capture power. The results show that the wind turbine aerodynamic and mechanical performance will be greatly affected with uncertain factors. By optimizing and adjusting wind turbine rotor speed and blade pitch angle, the wind turbine rotor power and thrust load variation can be reduced to 9.14% and 9.36%, respectively, which indeed reduces the uncertainty effects.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

How do renewable energy transformation and technological innovation promote carbon productivity? Empirical evidence from China 可再生能源转型和技术创新如何促进碳生产力？来自中国的经验证据

IF 2.5 4区工程技术

Journal of Renewable and Sustainable Energy Pub Date : 2024-01-01 DOI: 10.1063/5.0188018

Xiaohong Liu

{"title":"How do renewable energy transformation and technological innovation promote carbon productivity? Empirical evidence from China","authors":"Xiaohong Liu","doi":"10.1063/5.0188018","DOIUrl":"https://doi.org/10.1063/5.0188018","url":null,"abstract":"The Chinese government is committed to achieve the goal of “double carbon” and proposes to shift from double control of energy consumption to double control of carbon emissions. In this scenario, it is of great theoretical and practical significance to study the impact of renewable energy transformation (RET) and technological innovation on carbon productivity (CP). Based on panel data obtained from 30 provinces of China from 2004 to 2021, this study empirically investigated the influence of RET and technological innovation on CP by using panel mean group (MG) estimation. For robustness test, ordinary least squares estimation method was adopted. The main conclusions are as follows: First, based on MG estimation, it was observed that RET has significant positive impact on CP in China. However, the coefficient of technological innovation was found to be significantly negative, indicating that enhancing technological innovation can improve CP. Additionally, the findings showed that economic development and industrial upgradation had a positive impact on CP. Second, the heterogeneity study showed that the RET in the eastern and western regions of China can improve CP. The coefficient of RET in the western region was significantly higher than that in the eastern region. The technological innovation coefficients in the eastern and central regions were significantly positive and enhancing technological innovation in these two regions can considerably improve CP; the technological innovation coefficient in the eastern region was higher than that in the central region. The Gross Domestic Product (GDP) coefficients of the three regions were significantly positive and enhancing economic development can increase CP in these three regions. Finally, to improve CP, it is suggested to promote RET, increase investment in research and development, enhance technological innovation, emphasize high-quality development, prioritize adapting to local conditions, and implement region-appropriate policies and measures.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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