Energy Conversion and Management-X最新文献

{"title":"AC-DC Cuk Converter: A State-of-the-Art topological review","authors":"Istiak Ahmed ,&nbsp;Asif Imties Alvy ,&nbsp;Irfan Rahman ,&nbsp;Md. Abdullah Al Hossain ,&nbsp;Showrov Rahman ,&nbsp;Abdullah Al-Hysam ,&nbsp;Abdur Razzak","doi":"10.1016/j.ecmx.2025.101115","DOIUrl":"10.1016/j.ecmx.2025.101115","url":null,"abstract":"<div><div>AC-DC converters, which transform alternating current (AC) into controlled direct current (DC), are key instruments for systems requiring stable and efficient power conversion. Among various AC-DC topologies, the Cuk converter topology is increasingly used for power factor correction (PFC) applications, enabling efficient power conversion for various industrial and household devices. Despite its growing adoption in AC-DC applications, the existing literature does not thoroughly examine the technical aspects of the modern Cuk topologies. This paper seeks to fill this gap by comprehensively analyzing recent topological advancements in AC-DC Cuk converters, encompassing their categorizations, performance attributes, and applications. The evaluation and review of the prominent converter topologies have been summarized in a tabular format, presenting essential converter metrics, including component counts, operation modes, isolation and rectification styles, power ratings, power factor, and total harmonic distortion (THD). The paper aims to provide valuable insights for researchers, design engineers, and manufacturers through technical comparison and topology evaluation. In addition, the related technical issues and challenges regarding selecting a suitable converter topology are addressed in this article.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101115"},"PeriodicalIF":7.1,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Life cycle greenhouse gas emissions and cost of marine transport with conventional fuels and methanol","authors":"Shashwat Tripathi ,&nbsp;Christopher P. Kolodziej ,&nbsp;Farhad Masum ,&nbsp;Loiy Al-Ghussain ,&nbsp;Zifeng Lu ,&nbsp;Daniel De Castro Gomez ,&nbsp;Xin He ,&nbsp;Enze Jin ,&nbsp;Jessey Bouchard ,&nbsp;Troy Hawkins ,&nbsp;Michael Wang","doi":"10.1016/j.ecmx.2025.101116","DOIUrl":"10.1016/j.ecmx.2025.101116","url":null,"abstract":"<div><div>In this study, the production and use of renewable-based methanol as a low carbon intensity fuel for a SUEZMAX tanker is evaluated for energy transport from Saudi Arabia to Asia (Japan) and Europe (the Netherlands), in comparison to the conventional fossil-based fuels. Renewable-based methanol production has been modeled in all three regions from hydrogen, produced with solar or wind energy, and carbon dioxide (CO₂) captured from sources relevant to each region. The Well-to-Wake life cycle GHG emissions analysis and life cycle cost analysis was performed for the two types of trips of the SUEZMAX tanker operating on renewable-based methanol, natural gas-based methanol, liquefied natural gas (LNG), very low sulfur fuel oil and high sulfur fuel oil. A sensitivity analysis was performed by varying the cost and carbon intensity of hydrogen production based on annual variation in renewable energy in the three regions, as well as changing the source for CO₂ captured to produce renewable-based methanol in each region. Sensitivity analysis results for life cycle cost (399 to 921 million US dollars) and life cycle emissions (0.5 to 2.1 million metric tonnes) were used to evaluate the cost of carbon abatement, which was observed to be the lowest (3 to 12 US dollar per metric tonne of CO₂) when the hydrogen cost was assumed to be $1/kg. Of the three regions examined, Saudi Arabia was the location for renewable-based methanol production with lowest life cycle emissions (0.5 to 0.8 million metric tonnes) and cost (588 to 597 million US dollars), while Europe was shown to be the next most cost-effective region for renewable-based methanol production.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101116"},"PeriodicalIF":7.1,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization and evaluation of operational and economic performance of grid-connected battery storage at different stages of battery health","authors":"Masoume Shabani ,&nbsp;Jinyue Yan","doi":"10.1016/j.ecmx.2025.101113","DOIUrl":"10.1016/j.ecmx.2025.101113","url":null,"abstract":"<div><div>Battery storage systems play a crucial role in modern energy infrastructure by enhancing grid flexibility. However, their long-term performance is limited by capacity degradation, which impacts operational efficiency and economic viability. This study proposes a degradation-aware optimization framework to evaluate the operational and economic performance of grid-connected battery systems across different stages of battery health, including new, mid-life, and near end-of-life conditions. The framework dynamically optimizes daily operational schedules, including cycle frequency, charge /discharge timing, and durations, in response to evolving degradation. The objective of optimization is to simultaneously maximize revenue and minimize degradation-related cost. The model incorporates both calendric and cyclic aging as functions of real-life operational conditions, ensuring informed and adaptive battery management.</div><div>The results demonstrate that, despite a reduction in energy output per cycle from 95% in the first year to 77% near end-of-life, the proposed strategy stabilizes revenue across all stages by adjusting cycle characteristics. In the early stage, cycling is limited to once per day on over 80% of days, with extended charge/discharge durations (4–8 h) to mitigate initial degradation. In later stages, the strategy shifts to shorter charge/discharge durations (1–2 h) and increases the frequency to two cycles per day on up to 60% of days, thereby sustaining profitability. The findings offer valuable insights for grid operators, investors, and energy market participants in developing financially viable battery storage systems.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101113"},"PeriodicalIF":7.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of machine and deep learning models integrated with variational mode decomposition for photovoltaic power forecasting using real-world data from the semi-arid region of Djelfa, Algeria","authors":"Ferial El Robrini ,&nbsp;Badia Amrouche ,&nbsp;Umit Cali ,&nbsp;Taha Selim Ustun","doi":"10.1016/j.ecmx.2025.101108","DOIUrl":"10.1016/j.ecmx.2025.101108","url":null,"abstract":"<div><div>Accurate photovoltaic power forecasting is essential for grid stability and efficient energy management. While Deep Learning (DL) and Machine Learning (ML) models are widely used, the extent to which each can be effectively leveraged remains an open question. This study thoroughly compares several ML and DL models, applied to both short-term (30-minute) and medium-term (3-hour) horizon. The research is built upon real-world data from a 53 MW PV plant located in Algeria, offering practical insights under realistic conditions. Another critical element of the study is the incorporation of Variational Mode Decomposition (VMD) for feature processing, which mainly enhances information extraction. The study also includes a monthly performance analysis investigating the climatological variability on forecasting accuracy. Among standalone models, CNN performs best with an nMAE of 2.9 %, nRMSE of 5.45 %, and R² of 0.9678 at 30 min ahead, and nMAE of 3.15 %, RMSE of 4.15 %, and R² of 0.9839 at 3 h forecasting. When combined with VMD, ML models, particularly ANN, SVM, and Random Forest frequently outperform DL-VMD counterparts. For instance, ANN achieves an nMAE of 1.08 %, nRMSE of 1.89 %, and R² of 0.9961 at 30 min, and maintains excellent accuracy at 3 h with nMAE of 1.1 %, nRMSE of 1.4 %, and R² of 0.9982. Collectively, this research serves as a reference for a multidimensional evaluation of forecasting performance. The analysis highlights the importance of selecting appropriate models and preprocessing techniques in PV power forecasting, tailored to location and climatological conditions, contributing to effectively addressing abrupt fluctuations and facilitating large-scale integration.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101108"},"PeriodicalIF":7.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nuclear microreactor transient and load-following control with deep reinforcement learning","authors":"Leo Tunkle ,&nbsp;Kamal Abdulraheem ,&nbsp;Linyu Lin ,&nbsp;Majdi I. Radaideh","doi":"10.1016/j.ecmx.2025.101090","DOIUrl":"10.1016/j.ecmx.2025.101090","url":null,"abstract":"<div><div>The economic feasibility of nuclear microreactors will depend on minimizing operating costs through advancements in autonomous control, especially when these microreactors are operating alongside other types of energy systems (e.g., renewable energy). This study explores the application of deep reinforcement learning (RL) for real-time drum control in microreactors, exploring performance in regard to load-following scenarios. By leveraging a point kinetics model with thermal and xenon feedback, we first establish a baseline using a single-output RL agent, then compare it against a traditional proportional–integral–derivative (PID) controller. This study demonstrates that RL controllers, including both single- and multi-agent RL (MARL) frameworks, can achieve load-following performance similar or even superior to traditional PID control across a range of load-following scenarios. In short transients, the RL agent was able to reduce the tracking error rate in comparison to PID by one half to one third. Over extended 300 min load-following scenarios in which xenon feedback becomes a dominant factor, PID maintained better accuracy, but RL still remained within a 1% error margin despite being trained only on short-duration scenarios. This highlights RL’s strong ability to generalize and extrapolate to longer, more complex transients, affording substantial reductions in training costs and reduced overfitting. Furthermore, when control was extended to multiple drums, MARL enabled independent drum control as well as maintained reactor symmetry constraints without sacrificing performance—an objective that standard single-agent RL could not learn. We also found that the RL controllers were able to maintain lower error rates than PID, despite increasing levels of Gaussian noise being added to the power measurements, doing so with at least 10% and upwards of 150% less control effort. These findings illustrate RL’s potential for autonomous nuclear reactor control, laying the groundwork for future integration into high-fidelity simulations and experimental validation efforts.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101090"},"PeriodicalIF":7.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative market price and emission driven electricity dispatch analysis for sCO2 cycle based thermally integrated pumped thermal energy storage system","authors":"Syed Safeer Mehdi Shamsi ,&nbsp;Stefano Barberis ,&nbsp;Silvia Trevisan ,&nbsp;Rafael Guedez","doi":"10.1016/j.ecmx.2025.101112","DOIUrl":"10.1016/j.ecmx.2025.101112","url":null,"abstract":"<div><div>Large-scale energy storage is essential for integrating increasing shares of renewable energy into power grids. Pumped Thermal Energy Storage (PTES), particularly Thermally Integrated PTES (TI-PTES), offers advantages such as long lifespan, fast response, and flexibility, along with external heat source integration. Traditionally, PTES dispatch studies focus on maximizing profitability, which often leads to energy storage from CO₂-emitting sources rather than purely from renewables. This study investigates the optimal dispatch strategy for a supercritical carbon dioxide (sCO₂) thermal cycle-based TI-PTES across various European markets using a Mixed Integer Linear Programming (MILP) model. The primary objective is to evaluate the economics of TI-PTES optimized for CO₂ emission minimization and compare it with conventional profit-maximizing dispatch strategies based on electricity market prices.</div><div>For selected EU energy markets, key indicators such as payback period, net present value (NPV), levelized cost of electricity (LCOE), and displaced CO₂ emissions are analyzed for price-based vs. CO₂ emission-based dispatch to assess the financial viability and environmental impact of TI-PTES. Study shows annual round-trip efficiency of 105 % for Finland and 101 % for Germany, as compared to the 112 % of the electric RTE set for the model. The payback periods for only Germany comes out to be achievable during the span of the plant life of 25 years under the current market price scenarios. However, with increased volatility from 20 to 100 %, the payback period for the same market can decrease 20–60 % of the current value. Similarly, the study further proposes a novel hybrid dispatch strategy that incorporates both economic profitability and emission minimization by assigning appropriate weights to each objective. The optimal weighting varies for each energy market to achieve the most effective results. The hybrid dispatch approach positions TI-PTES as both an economically and environmentally viable solution for energy storage and grid integration.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101112"},"PeriodicalIF":7.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable syngas production via thermal steam reforming of waste cooking oil using monometallic and bimetallic catalysts","authors":"Jurarat Nisamaneenate ,&nbsp;Imad A. Idris ,&nbsp;Siraphop Tocharoen ,&nbsp;Patranit Worakitchareonpol ,&nbsp;Duangduen Atong ,&nbsp;Viboon Sricharoenchaikul","doi":"10.1016/j.ecmx.2025.101114","DOIUrl":"10.1016/j.ecmx.2025.101114","url":null,"abstract":"<div><div>Syngas from waste cooking oil (WCO) was generated via catalytic steam reforming in a micro fixed bed reactor. This study investigates the impacts of temperature, steam-to-carbon (S/C) ratio, and metal catalyst loading on dolomite and olivine supports, employing Ni and Fe metals. The synthesized catalysts exhibited enhanced activity compared to non-catalytic experiments during steam reforming. Specifically, 5%Ni/olivine catalyst yielded a significant proportion of CH₄ and CO₂ in the product gas, while the 5%Ni/dolomite catalyst achieved higher carbon conversion and hydrogen yield. The highest carbon and hydrogen conversions reached 76.78% and 81.41%, respectively, with H₂/CO molar ratio of 1.09 when utilizing the % Ni-Fe/dolomite catalyst. This performance is attributed to the Ni-Fe active sites on dolomite catalysts that facilitated the water gas shift reaction through synergistic effects. Overall, this study proposes a sustainable approach for syngas production from WCO using readily available mineral-based catalysts.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101114"},"PeriodicalIF":7.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design guidelines for efficient thermoelastic harvesting of low-grade waste heat","authors":"Bruno Neumann ,&nbsp;Sebastian Fähler","doi":"10.1016/j.ecmx.2025.101099","DOIUrl":"10.1016/j.ecmx.2025.101099","url":null,"abstract":"<div><div>Today, a substantial fraction of the energy used for industrial and domestic processes is wasted as heat, which contributes to global warming. Although recuperation of waste heat at high temperatures is already feasible and applied, this remains a challenge for low-grade waste heat below 100 °C. For low-grade waste heat, most approaches are either inefficient or use harmful materials. Here, we address this gap by examining thermoelastic harvesting, which utilizes shape memory alloys. By coupled finite element simulations of a reciprocating heat engine, we analyze the intimate connection between the functional properties of shape memory alloys and a thermodynamic cycle, which converts thermal to mechanical energy. Our approach allows for a systematic optimization of efficiency by varying design and operation parameters, which include fluid pressure, tube diameter, temperature, prestrain, spring constant and damping. We obtain an efficiency of 8.6%, which is equivalent to 51% with respect to Carnot — an outstanding value for low-grade waste heat of just 55<!--> <!-->°C. We derive design guidelines, which connect both, system engineering of thermoelastic harvesters and material science of thermoelastic shape memory alloys.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101099"},"PeriodicalIF":7.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress in water management strategies for dead-ended proton exchange membrane fuel cells: A review","authors":"Xuanzhi Zhou ,&nbsp;Biao Xiao ,&nbsp;Shanshan Cai ,&nbsp;Zhengkai Tu","doi":"10.1016/j.ecmx.2025.101107","DOIUrl":"10.1016/j.ecmx.2025.101107","url":null,"abstract":"<div><div>Effective regulation of water content is vital for sustaining the performance and longevity of proton exchange membrane fuel cells (PEMFCs) operating in dead-ended modes. Performance degradation can result from either flooding due to excessive water accumulation or dehydration caused by insufficient membrane hydration. This review provides the first comprehensive and systematic analysis of water management strategies specifically tailored for dead-ended PEMFCs, integrating water transport mechanisms, dominant failure pathways, and their impacts on key components—including the gas diffusion layer (GDL), catalyst layer (CL), proton exchange membrane (PEM), and flow field channels—under both anode- and cathode-dead-ended conditions. A critical evaluation of both active and passive water management techniques is presented, covering approaches such as periodic purging, pressure modulation, flow field optimization, and passive drainage. Furthermore, this work identifies current technological limitations—such as low gas utilization and high reactant loss—and highlights emerging strategies aimed at achieving high-efficiency, zero-emission operation in constrained environments, including underwater and portable applications. By bridging existing knowledge gaps and proposing forward-looking solutions, this review offers theoretical insight and practical guidance for advancing the design of dead-ended PEMFC water management system.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101107"},"PeriodicalIF":7.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144338861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of coal sustainability via hybrid renewable integration: A PVsyst-HOMER Synergistic framework for sustainable energy transitions","authors":"Ahmad Shah Irshad ,&nbsp;Ahmad Bilal Ahmadullah ,&nbsp;Kamaluddin Kamal ,&nbsp;Naqibullah Haidari ,&nbsp;Ahmadullah Qanit ,&nbsp;Javeed Ahmad Osmani ,&nbsp;Said Elias","doi":"10.1016/j.ecmx.2025.101110","DOIUrl":"10.1016/j.ecmx.2025.101110","url":null,"abstract":"<div><div>The growing urgency to decarbonize power systems while maintaining grid reliability has made hybrid energy systems an increasingly attractive solution, especially for coal-dependent regions. This study presents a novel hybrid energy optimization framework that integrates photovoltaic (PV), hydropower, and coal-based generation to enable a cost-effective and reliable power supply while facilitating a gradual transition toward low-carbon energy systems. Unlike conventional models that aim for immediate fossil fuel phase-out, this study proposes a pragmatic bridge model that utilizes existing coal infrastructure as dispatchable backup, enhancing grid stability without compromising sustainability goals. The methodology involves technical and economic modelling using HOMER Pro for hybrid system optimization and PVsyst for accurate PV performance analysis. Multiple constraints, including net present cost (NPC), cost of electricity (COE), reserve margin (≥15 %), CO₂ emissions threshold (≤30 % above baseline), and annual unmet load (≤0.5 %) are considered. A detailed sensitivity analysis was conducted to evaluate system robustness under varying solar irradiance and demand conditions. Results show that the optimized hybrid system (120 MW PV, 111 MW coal, 151 MW hydro) achieves the lowest COE ($0.0547/kWh) and CO₂ emissions (83,115,000 kg/year) with minimal unmet load (0.03 %). Environmental aspects are considered through explicit modelling of CO₂, SO₂, and NO_x emissions, as well as scenario-based carbon taxation. A high system performance ratio of 81.3 % and a capacity factor of 68.8 %, confirming the system’s technical and economic viability. The findings underscore the importance of flexible, region-specific energy strategies and provide a replicable methodology for investors, utilities, and governments seeking to balance energy security, environmental impact, and economic growth on the path toward carbon–neutral power systems. This research offers a versatile and globally applicable approach that can guide researchers in developing hybrid systems tailored to different geographic, climatic, and economic contexts, supporting worldwide efforts in sustainable energy transitions.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101110"},"PeriodicalIF":7.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}