Renewable Energy最新文献

{"title":"A novel methodology for enhancing hydrogen storage kinetics property of Ti37V40Mn23 + 10 wt% Zr8Ni21 alloys: Effect of ultrasonic treatment","authors":"Bin Liu ,&nbsp;Xiaoyu Chen ,&nbsp;Lifei Shang ,&nbsp;Qiang Tao ,&nbsp;Hongze Fang ,&nbsp;Ruirun Chen","doi":"10.1016/j.renene.2025.123450","DOIUrl":"10.1016/j.renene.2025.123450","url":null,"abstract":"<div><div>Renewable energy sources are intermittent by nature, requiring efficient energy storage technologies to ensure stable supply. Hydrogen storage alloys, with their high safety, high energy density, and reversibility, can convert excess energy into hydrogen for storage and later use. In this work, Ti₃₇V₄₀Mn₂₃ + 10 wt% Zr₈Ni₂₁ alloy was prepared by arc-melting and ultrasonic treatment technology, establishing fundamental correlations between preparation process, microstructure, and storage kinetics. Ultrasonically-treated (UST) alloys consisted of BCC and C14 Laves phases. The phase evolved from columnar crystals to equiaxed grains with the extension of treatment time. The alloy UST for 180s (Alloy-3) exhibited improved ab-/desorption kinetics, with hydrogen absorption capacity of 3.06 wt% and desorption capacity of 2.08 wt% at 303 K. The activation energy required for the dehydrogenation process in Alloy-3 was measured to be 47.22 kJ/mol, indicating that the surface hydrogen desorption reaction was more likely to reach an active state. Ultrasonic treatment enhanced the hydriding and dehydriding rate by refining BCC phase grains and increasing the specific surface area, which provided additional sites for the adhesion and reaction of H atoms. Furthermore, the enthalpy values (<em>ΔH</em>) were computed using van't Hoff equation. Ultrasonic treatment improved the hydride stability of the alloys.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123450"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089324","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}

{"title":"Enhanced photocatalysis efficiency of flower-like Ni/ZnIn2S4 coupling with supplying-hydrogen alcohols to catalyze lignin β-O-4 models into aromatic monomers","authors":"Xuele Geng ,&nbsp;Baoju Wang ,&nbsp;Yun Jia ,&nbsp;Pengrui Zhang ,&nbsp;Jiyuan Xu ,&nbsp;Ning-Ning Zhang ,&nbsp;Jian-Ping Zou ,&nbsp;Kaiqiang Jing ,&nbsp;Hongyou Cui ,&nbsp;Hongzi Tan","doi":"10.1016/j.renene.2025.123428","DOIUrl":"10.1016/j.renene.2025.123428","url":null,"abstract":"<div><div>Owing to the fussy depolymerization conditions and the limited photocatalytic efficiency, enhancing lignin valorization into aromatic monomers still remains challenging. Herein, the combination of photocatalyst optimization and solvent effect was reported to efficiently scissor the C_<em>β</em>-O bond in lignin <em>β</em>-O-4 model (2-phenoxy-1-phenylethanol, PP-ol) into ketones and phenols. The doped Ni species in ZnIn₂S₄ acting as electron-trapping sites inhibited the recombination of photogenerated carriers, leading to an enhanced photo-quantum efficiency. During the generation of 2-phenoxy-1-acetophenone (PP-one), the key intermediate of ·C_<em>α</em> radical was formed, which significantly decreased the dissociation energy of C_<em>β</em>-O bond to 66.9 kJ/mol. The competition between hydrogenolysis and dehydrogenation for these ·C_α radicals determined the products distribution of PP-one, phenol and acetophenone. Solvent effect played an important role in the above process. The concentration of atomic hydrogen species was highly increased assisted with EtOH as supplying-hydrogen agent, promoting the hydrogenolysis of C_<em>β</em>-O bonds in ·C_α radicals to aromatic monomers rather than their further dehydrogenation to PP-one. Based on the structure characterization, trapping and control experiments, the photocatalytic mechanism for lignin models depolymerization was proposed. Current work provides a simple and universal method in combination with photocatalyst optimization and solvent effect to accomplish the lignin valorization under solar drive.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123428"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072094","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}

{"title":"Research on source-load uncertainty optimal scheduling based on a hybrid robust multi-interval optimization method","authors":"Zhuang Zhao ,&nbsp;Jiahui Wu ,&nbsp;Bo Wang ,&nbsp;Rui Wang","doi":"10.1016/j.renene.2025.123316","DOIUrl":"10.1016/j.renene.2025.123316","url":null,"abstract":"<div><div>The new power systems(NPS) play an important role in enabling the efficient use of clean energy. In order to improve the operation economy, reliability and efficient consumption of renewable energy of NPS, a hybrid multi-interval robust optimization model was proposed. First, the model takes into account the improved thermal power flexible conversion energy cost model, and designs the output efficiency interval model of wind farm and photovoltaic power station considering the impact of equipment maintenance and failure. Compared with traditional models, these models can more accurately reflect the energy consumption cost and actual output of power supply equipment. Secondly, a hybrid multi-interval robust optimization model is proposed to improve the conservatism of traditional interval optimization methods. In addition, in order to improve the solving efficiency, this paper introduces the adaptive compression particle swarm optimization algorithm to overcome the problem that the traditional optimization algorithm is easy to fall into the local optimal solution. Finally, the IEEE30-node system is taken as an example for simulation verification. The results show that the proposed method can effectively reduce the adverse effects caused by the uncertainty of source and load, and improve the absorption rate of wind power and photovoltaic.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123316"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072093","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}

{"title":"Study on stable hydrogen production by indirectly solar thermal methanol steam reforming","authors":"Shun Liu ,&nbsp;Wantong Wang ,&nbsp;Chao Xu ,&nbsp;Xiaoze Du","doi":"10.1016/j.renene.2025.123451","DOIUrl":"10.1016/j.renene.2025.123451","url":null,"abstract":"<div><div>The indirectly heated solar reactor can eliminate the effect of fluctuating solar radiation on the reactor for continuous and stable hydrogen production. In order to investigate the effects of different heat transfer fluids and flow arrangements on reactor performance, this paper first established a three-dimensional numerical model to analyze the heat and mass transfer process in the indirectly heated reactor. Solar thermal oil (STO), which has both good fluidity and thermal storage properties, is more suitable for the indirectly heated methanol steam reforming reactor than molten salt and hot air. The reactor under counter-flow arrangement achieved higher methanol conversion and higher thermal efficiency than under co-flow arrangement. Afterwards, based on the indirectly STO heated reactor with counter-flow arrangement, the effects of STO inlet temperature, weight hourly space velocity (<em>WHSV</em>), molar ratio of steam to methanol (<em>S/C</em>) on methanol conversion, hydrogen production rate, and CO selectivity were further experimentally analyzed. Also, the operating parameters were optimized by Analysis of Variance method. The results indicated that increasing the STO inlet temperature and <em>S/C</em> as well as decreasing the <em>WHSV</em> and catalyst particle size both improved methanol conversion. Compared to other factors, STO inlet temperature had the largest significance on the reactor performance responses. Under optimal condition with STO inlet temperature of 553K, <em>WHSV</em> of 1.78 h⁻¹ and <em>S/C</em> of 1.3, the reactor obtained methanol conversion of 92.15 %, hydrogen production rate of 53.87 ml min⁻¹∙g⁻¹ and CO selectivity of 5.80 %.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123451"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072176","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}

{"title":"Sustainable triboelectric nanogenerator based on recycled and waste materials for renewable energy harvesting","authors":"Victor A. Jarvio-Cordova ,&nbsp;Ernesto A. Elvira-Hernández ,&nbsp;Arturo García-Saldaña ,&nbsp;Juan D. Garay-Marín ,&nbsp;Guillermo Efrén Ovando-Chacón ,&nbsp;Mario Díaz-González ,&nbsp;Enrique Delgado-Alvarado ,&nbsp;Gerardo Mora-Aquino ,&nbsp;Agustín L. Herrera-May","doi":"10.1016/j.renene.2025.123439","DOIUrl":"10.1016/j.renene.2025.123439","url":null,"abstract":"<div><div>Recycling of plastic and waste materials to fabricate smart devices can reduce their environmental damage. These materials can be used to develop triboelectric nanogenerators (TENGs) that harness renewable energy and transform it into electrical energy. This energy can power future Internet of Things (IoT) devices and generate self-powered sensors. The TENGs can reuse natural and plastic waste to fabricate their triboelectric layers and support structures. Herein, we report a novel eco-friendly TENG based on recycled and natural waste materials composed of ethylene vinyl acetate (EVA) foam and banana leaf. This nanogenerator can convert the vibrations into electrical energy for smart home security systems, using a simple electromechanical structure, an easy operating principle, and a microcontroller with connection to IoT. This TENG can reach a peak–to–peak open circuit voltage of 604 V, and a power density of 12.65 mWm⁻² with a load resistance of 30 MΩ at 30 Hz. This nanogenerator has a stable performance with ability to power small electronic devices and IoT sensors. In addition, this TENG can contribute to the circular economy using recycled and waste materials to harvest green energy from different vibration sources.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123439"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125060","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}

{"title":"Optimization of power generation structure and electricity transmission pattern in China based on the electricity-carbon coordinated market","authors":"Zhengyuan Zhai ,&nbsp;Lei Zhang ,&nbsp;Yadong Wang ,&nbsp;Xiaochao Hou ,&nbsp;Qing Yang","doi":"10.1016/j.renene.2025.123359","DOIUrl":"10.1016/j.renene.2025.123359","url":null,"abstract":"<div><div>To achieve the goals of “carbon peaking and carbon neutrality”, China is advancing the green transformation of its energy system by increasing the share of green energy in its power generation structure and promoting the efficient utilization of wind and solar resources in the western regions through inter-regional power transmission. In this context, the government is exploring a synergistic mechanism between the carbon emissions trading (CET) market and the electricity market (EM) to leverage market efficiency in resource allocation, accelerate emission reductions, and facilitate large-scale integration of green electricity. This study investigates the impact of electricity-carbon coordinated market (ECCM) on China’s power generation structure and transmission patterns. It proposes an electricity-carbon price linkage mechanism incorporating carbon allowance (CA) control and allocation and the supply-demand dynamics of the CET market. Based on this mechanism, a national ECCM optimization model that spans mid-to-long-term and spot trading stages is developed. The model takes provinces as spatial nodes and includes multiple types of energy producers as participants. Using this model, simulation analyses of China’s power generation structure and power transmission patterns with high-frequency real data are conducted. The results indicate that compared to EM, ECCM further increases the share of wind and photovoltaic power in power generation structure, particularly in the northwest region. Additionally, it expands the scale of cross-regional electricity transmission, enabling efficient transmission of wind and photovoltaic power from the western regions to the eastern regions. Furthermore, carbon reduction policies can effectively influence the operation of ECCM. These findings can assist policymakers in enhancing green power production and transmission capacity by controlling the total amount and allocation of CA, expanding transmission channels, and leveraging the ECCM to gradually achieve carbon reduction and green power consumption goals.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"252 ","pages":"Article 123359"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116691","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}

{"title":"Domain adaptation based high-fidelity prediction for hydrogen-blended natural gas leakage and dispersion","authors":"Junjie Li ,&nbsp;Zonghao Xie ,&nbsp;Jihao Shi ,&nbsp;Kaikai Wang ,&nbsp;Yuanjiang Chang ,&nbsp;Guoming Chen ,&nbsp;Asif Sohail Usmani","doi":"10.1016/j.renene.2025.123461","DOIUrl":"10.1016/j.renene.2025.123461","url":null,"abstract":"<div><div>Hydrogen blended natural gas is regarded as an important solution to facilitate the large-scale transmission and utilization of renewable hydrogen energy in the global energy transition. It is particularly susceptible to accidental leakage and dispersion due to the high leakage propensity of both hydrogen and natural gas, which may lead to significant casualties and economic losses. Deep learning approaches have been applied to high-fidelity prediction of accidental leakage and dispersion scenarios, but they exhibit low efficiency and limited generalization for large-scale emerging hydrogen energy scenarios due to the requirements of computationally intensive CFD simulations. This study proposes a domain adaptation based high-fidelity plume prediction model that integrating numerous low-fidelity Gaussian plumes to extract shared plume features, thereby enhancing efficiency and generalization with a limited number of high-fidelity CFD plumes. Numerical simulations for hydrogen blended natural gas leakage and dispersion, including CFD model and Gaussian plume model, are conducted to construct benchmark high and low-fidelity plumes. By using such datasets, the weight combination with shared features weight of <span><math><mrow><msub><mi>λ</mi><mn>2</mn></msub></mrow></math></span> = 1e-4 and low-fidelity features weight of <span><math><mrow><msub><mi>λ</mi><mn>1</mn></msub></mrow></math></span> = 1e-4, as well as the number of CFD plumes <span><math><mrow><mi>n</mi></mrow></math></span> = 16 was determined to optimize the proposed model's efficiency and generalization. A comparison between the proposed model and the state-of-the-art models was also conducted. The results demonstrate that the proposed model maintains high prediction accuracy for high-fidelity plumes while reducing CFD computation by 80 %, and surpassing the pre-trained transfer learning model. Overall, the proposed model facilitates large-scale adaptation of deep learning prediction model to various emerging hydrogen energy scenarios, effectively managing the accidental leakage and dispersion risk in renewable hydrogen systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"252 ","pages":"Article 123461"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124917","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}

{"title":"A novel microwave heating-assisted reactor for industrial-scale syngas production","authors":"Mohammad Khodabandehloo ,&nbsp;Jaber Shabanian ,&nbsp;Jean-Phillipe Harvey ,&nbsp;Jamal Chaouki","doi":"10.1016/j.renene.2025.123453","DOIUrl":"10.1016/j.renene.2025.123453","url":null,"abstract":"<div><div>Syngas, i.e., a mixture made of carbon monoxide and hydrogen, is a valuable feedstock to produce different chemicals, e.g., methanol. In our recent study (Khodabandehloo et al., Int. J. Hydrogen Energy 71 (2024) 1380–1391), we demonstrated the efficacy of syngas production through chemical looping dry reforming of methane heated by microwave. However, installing a large number (typically over a hundred) of microwave-heated reactors in parallel is a major technical challenge for scaling up this syngas-generating technology. In this work, we introduced a novel microwave heating-assisted cyclic simulated moving bed reactor to solve this technical challenge. We developed a model that incorporates bed hydrodynamics, mass transfer, and reaction kinetics. We integrated it with temperature distribution in the bed, to simulate the reactivity of methane and carbon dioxide with the loaded bed, and Maxwell's equation to capture distribution of electromagnetic waves throughout the system. We verified this model with simulation results from literature and validated it by experimental data collected in this study. Upon model verification and validation and designing the reactor, we simulated the proposed reactor for a plant with an inlet methane flowrate of 50 tonnes/day to optimize operating conditions and reactor design parameters. The simulation results indicated that at a bulk temperature of 800 °C, the optimized design of the proposed reactor can (i) achieve nearly complete (≥0.98) methane conversion by only four reactors and (ii) ensure a uniform distribution of electromagnetic waves with more than 97 % of microwave absorption by loaded oxygen carrier beds.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"252 ","pages":"Article 123453"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134820","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}

{"title":"2D/2D ReS2/CdS nanosheets-on-nanoribbon heterostructure for highly efficient H2 evolution under visible light irradiation","authors":"Xing-Liang Yin ,&nbsp;Da-Qiang Liu ,&nbsp;Lei-Lei Li ,&nbsp;Bing Sun ,&nbsp;Yan-Lan Wang","doi":"10.1016/j.renene.2025.123456","DOIUrl":"10.1016/j.renene.2025.123456","url":null,"abstract":"<div><div>Solar-driven water splitting is a promising renewable method for producing green H₂. However, its efficiency remains insufficient for practical applications due to significant charge recombination. To address this issue, strategies involving morphology modulation and heterostructure construction were employed to synthesize a novel 2D/2D ReS₂/CdS nanosheets-on-nanoribbon heterostructure. In this structure, the CdS nanoribbon, characterized by a wide and short charge transfer path and high crystallization, was first fabricated using a mild solvothermal approach, demonstrating potential to retard bulk charge recombination. Additionally, the well-defined heterostructure, promoting charge transfer and separation across interface, significantly inhibits surface charge recombination. As a result, the ReS₂/CdS heterostructure exhibits a state-of-the-art H₂ generation rate of 150.1 mmol g⁻¹ h⁻¹ which is <em>ca.</em> 115.5 times higher than pristine CdS far exceeding other similar catalytic systems and most CdS-noble metal photocatalysts. Combing two strategies to suppress charge recombination in this manuscript provides new insights into the development of low cost but high-performance catalysts for renewable energy generation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123456"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068253","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}

{"title":"A critical evaluation of the progression in industrial waste utilization to achieve energy transition targets: technological obstacles, carbon footprint reduction, and life cycle assessment","authors":"Joseph Sekhar Santhappan ,&nbsp;Kalaiselvan Narasimman ,&nbsp;Beno Wincy Winsly ,&nbsp;Alfred Franklin Varghese ,&nbsp;Thangavel Mathimani","doi":"10.1016/j.renene.2025.123469","DOIUrl":"10.1016/j.renene.2025.123469","url":null,"abstract":"<div><div>Industrialization has long been recognized as a cornerstone for economic growth and social advancement on a global scale. Sustainable industries are essential for nations to fulfill their energy transition roadmap, sustainable development goals (SDGs), and net-zero emission targets. Renewable energy sources (RES) such as solar, wind, and biomass are the priorities worldwide for attaining net-zero targets. While biomass presents itself as a promising energy source, scientific exploration is necessary to fully explore its potential for adoption in industrial sectors. Though several studies looked at the feasibility of biomass and biofuels for decarbonizing industries, identifying mature technologies to meet the technical, economic, social, and environmental requirements is still a challenge. This review critically examines how industrial waste can be converted into various bioenergies through thermochemical and biochemical processes and discusses the research gaps that need to be narrowed for a successful deployment of bioenergy in industries to attain net-zero emission targets. The discussion on the life cycle assessment of various pathways for bioenergy utilization in industries envisages the sustainability of its production and utilization. Furthermore, this review highlights the economic constraints, expected challenges, and socio-economic impacts of deploying the technologies and strategies for a sustainable industrial sector.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"252 ","pages":"Article 123469"},"PeriodicalIF":9.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116471","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}