Renewable Energy Focus最新文献

{"title":"Integrating Null Energy Sellers for P2P trading: An economically viable and environmentally sustainable uniform pricing framework","authors":"Nermish Mushtaq,&nbsp;Hassam Ishfaq,&nbsp;Iqra Nazir,&nbsp;Muqaddas Azad,&nbsp;Xuyang Shi,&nbsp;Waqas Amin","doi":"10.1016/j.ref.2025.100793","DOIUrl":"10.1016/j.ref.2025.100793","url":null,"abstract":"<div><div>This paper proposes an innovative pricing and energy trading model for peer-to-peer energy markets integrating Null Energy Sellers (NES) and Participating Energy Sellers (PES) within a partnership framework. The model dynamically determines market operation modes either as buyers’ mode or sellers’ mode and calculates the final trading price (FTP) based on competitive interactions among energy sellers and consumers. A comprehensive financial analysis evaluates capital investment, net cash flow, net profit, payback period (PBP), and return on investment (ROI) for different classes of NES, demonstrating the model’s economic viability compared to state-of-the-art approaches. Moreover, the environmental and grid impacts of NES penetration levels are quantitatively assessed by analyzing reductions in CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions and grid stress, evidencing significant ecological benefits and enhanced grid stability with increasing NES integration. Extensive simulations over one year validate the model’s effectiveness in optimizing energy allocation, improving participant satisfaction, and fostering sustainable energy trading. The one-year simulation results reveal that under the proposed pricing model, the buyers’ annual energy bills can be reduced by approximately 9.7% to 18.56%. Conversely, the sellers’ revenues increase by about 8.08% to 15.90%. The proposed business model further shows that the capital invested in the renewable energy plant can be recovered within a payback period of approximately 5.7–6.8 years. Moreover, different levels of renewable energy penetration indicate that at 30% integration, significant reductions in CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions can be achieved, ranging from 31.4% to 65.81%. In addition, a 30% renewable energy penetration further reduces grid stress by approximately 23.8% to 39.9%. Overall, the proposed framework offers a balanced and competitive market environment, encouraging active participant engagement while contributing to environmental sustainability and grid resilience.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100793"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798081","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":"Assessing the social perception of agrivoltaic systems in vineyards. A case study of an integrated trellis-based configuration in South-eastern Spain","authors":"Irene Arias-Navarro ,&nbsp;Baltasar Miras-Cabrera ,&nbsp;Carlos Toledo ,&nbsp;Asunción María Agulló-Torres ,&nbsp;Javier Padilla ,&nbsp;África Martínez-Poveda ,&nbsp;Francisco J. Del Campo-Gomis","doi":"10.1016/j.ref.2026.100812","DOIUrl":"10.1016/j.ref.2026.100812","url":null,"abstract":"<div><div>Sustainable development is a key priority in addressing global challenges such as climate change and land degradation. In South-eastern Spain, the Murcia Region stands out for its agricultural significance and its exceptional potential for solar energy generation, owing to its semi-arid climate and high solar irradiance. However, the rapid deployment of ground-mounted photovoltaic systems has intensified competition for agricultural land, positioning agrivoltaics systems as a promising dual-use solution. This study explores the attitudes of wine tourists towards vertically integrated low-height agrivoltaics systems in vineyards, a sector of major economic and cultural relevance in the region. The methodology consisted of guided visits to pilot low-height vertically integrated agrivoltaics systems installed in vineyard trellises at several wineries, followed by administration of a structured ethically reviewed questionnaire. Statistical analysis reveals a predominantly positive social perception of agrivoltaics systems in vineyards, emphasising support for dual land use and a preference for the low-height system integrated into the trellises, due to its greater harmony with the wine-growing landscape. Differences in perception by gender, educational level and environmental awareness suggests the need for differentiated communication strategies in case actions are taken to further increase the favorable social perception observed. Overall, findings position agrivoltaics as a viable solution for reconciling agricultural and energy production in a context of climate change and resource scarcity.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100812"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976872","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":"Fault detection and isolation in DC microgrid with local measurements using carrier aided directional comparison scheme","authors":"K V D Satya Sai Krishna Sannidhi,&nbsp;Ankur Singh Rana,&nbsp;Jnaneswar Kolli","doi":"10.1016/j.ref.2026.100826","DOIUrl":"10.1016/j.ref.2026.100826","url":null,"abstract":"<div><div>Along with the technology enhancement, the DC microgrid has emerged to meet the current energy demand in consideration with the environmental issues. This DC Microgrid (DC-MG) get influenced by faults and abnormal conditions in the power systems. The DC-MG has a bi-directional property and equipped with large-scale power electronic devices. During the event of DC faults such as pole to ground, these devices are more vulnerable due to their limited fault current withstanding property. Hence, the protection scheme required in Microgrid should be selective and sensitive to identify the fault section precisely with minimum operating time. This work proposes a fault-parameter estimation approach that relies exclusively on local measurements. The method employs a disturbance-index calculation to identify abnormal line conditions, while a least-squares estimation procedure is used to determine the direction of the fault. In addition, a carrier-aided directional comparison scheme (CADCS) is applied to isolate the faulty section by issuing tripping commands to the corresponding protective devices. To verify the effectiveness of the proposed scheme, a six-bus DC microgrid model is developed and simulated in MATLAB/Simulink. The protection strategy is evaluated under a range of practical operating conditions, including varying levels of PV penetration, multiple fault locations, different measurement noise levels, and a broad spectrum of fault resistances from solid faults up to 100 Ω. If the communication latency is neglected, then the proposed concept can generate the trip signal of fault section in 3ms.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100826"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188275","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":"Generalized model-predictive control for supercapacitor and superconducting magnetic energy storage systems","authors":"Juan-Camilo Oyuela-Ocampo ,&nbsp;Alejandro Garcés-Ruiz ,&nbsp;Walter Gil-González","doi":"10.1016/j.ref.2025.100795","DOIUrl":"10.1016/j.ref.2025.100795","url":null,"abstract":"<div><div>The integration of renewable energy sources requires efficient and reliable energy storage systems to stabilize grid operation and address the inherent variability of this type of generation. This study focuses on electric energy storage systems (EESS), which encompass supercapacitor energy storage (SCES) and superconducting magnetic energy storage (SMES). Leveraging their shared structural properties, it is possible to propose a unified modeling framework. A model predictive control (MPC) strategy is developed within this framework, offering precise regulation of active and reactive power while ensuring system stability. The proposed strategy incorporates a discrete bilinear model and a one-step control horizon to optimize performance under dynamic operating conditions. Numerical simulations demonstrate the proposed MPC approach’s effectiveness in reducing power oscillations, enhancing response dynamics, and maintaining grid stability in scenarios with variable loads, renewable energy fluctuations, and a three-phase fault in microgrid. The proposed control is compared to conventional strategies, showing superior performance with faster adaptation and fewer oscillations. Quantitative results based on standard performance indices (IAE, ITAE, ITSE, <span><math><msub><mrow><mi>T</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span>, and <span><math><msub><mrow><mi>M</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>) further confirm the superior transient and steady-state behavior of the proposed MPC strategy. In addition, passivity and stability are formally guaranteed via the Lyapunov theorem.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100795"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693396","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":"Techno-economic analysis of hydrogen transport: comparison between tube trailer and pipeline","authors":"Guillermo G. Griñán,&nbsp;Tomás Gómez-Acebo","doi":"10.1016/j.ref.2026.100820","DOIUrl":"10.1016/j.ref.2026.100820","url":null,"abstract":"<div><div>Hydrogen logistics is a key enabler in the energy transition. This study presents a disaggregated, reproducible, and quantitative framework for the techno-economic analysis of hydrogen transport via tube trailers and pipelines, covering a broad range of delivery capacities (0.5–10,000 t/day) and distances (10–1,000 km). The model explicitly separates capital and operating costs for each subsystem, enabling transparent identification of the main cost drivers and robust comparison between technologies. Results show that tube trailer transport is dominated by vessel costs and is economically viable only for short-to-medium distances (up to 250–350 km) and low-to-moderate demands; notably, for demands above 5–10 t/day, road transport costs tend to stabilize. In contrast, pipeline transport is characterized by high initial capital expenditure at low capacities, with compression operating costs becoming dominant at high capacities (&gt;500 t/day). Strong economies of scale allow pipelines to maintain costs below 2 €/kg for demands above 200 t/day across all distances considered. Comparative cost maps generated by the model clearly delineate the optimal operational regimes and transition zones for each technology. Sensitivity analysis demonstrates that material cost most strongly affects tube trailer economics, while labor and electricity cost are most influential for pipelines, particularly at high capacities. The reproducibility and transparency of the framework ensure that the techno-economic boundaries between transport modes are robust to plausible cost fluctuations. These findings provide actionable insights for infrastructure planners and policymakers, supporting the efficient and cost-effective integration of hydrogen into future energy systems.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100820"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077738","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":"Intelligent LFC for multi-microgrid system integrating ASIC and BESS","authors":"Ghali Ahmad ,&nbsp;Md Shafiullah ,&nbsp;Mohamed Zaery ,&nbsp;Mujahed Al-Dhaifallah ,&nbsp;Mohammad A. Abido","doi":"10.1016/j.ref.2026.100817","DOIUrl":"10.1016/j.ref.2026.100817","url":null,"abstract":"<div><div>High renewable penetration in multi‑microgrids reduces effective inertia and introduces fast, stochastic power imbalance, degrading load‑frequency control. This work proposes an adaptive artificial neural network-based proportional-integral-derivative secondary controller coordinated with an application‑specific integrated circuit and battery energy storage system in the power system having a conventional generator, PV, and wind systems. The application‑specific integrated circuit load has been utilized in a cryptocurrency mining system, allowing for the dynamic adjustment of power consumption based on generation levels. This approach stabilizes the system by using surplus power during periods of high generation and reducing demand during periods of low generation. The proportional-integral-derivative controller gains are pre-trained offline using a genetic algorithm sweeping across diverse operating scenarios and encoded into a feed-forward artificial neural network for online adaptation. Across all scenarios, the proposed controller consistently outperforms traditional methods such as genetic algorithm-based proportional-integral-derivative, particle swarm optimization-based proportional-integral-derivative, and gray wolf optimization-based proportional-integral-derivative controllers, achieving substantial reductions in error metrics such as Integral Square Error, Integral Absolute Error, and Integral Time Absolute Error by up to 28.95%, 16.85%, and 11.65% respectively. It has also achieved a lower rate-of-change of frequency, a 15% rise time, a 13% peak amplitude, a 7% settling time, and control effort for both loads, and the proposed scheme eventually enhances the system stability.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100817"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037584","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":"Hybrid stochastic-robust optimization for smart parking lot trading with local electricity markets under a decentralized framework with renewable energy integration","authors":"Asma Nasiri ,&nbsp;Nima Nasiri ,&nbsp;Behnam Mohammadi-Ivatloo ,&nbsp;Mehdi Abapour ,&nbsp;Sajad Najafi Ravadanegh","doi":"10.1016/j.ref.2025.100794","DOIUrl":"10.1016/j.ref.2025.100794","url":null,"abstract":"<div><div>This paper presents a hybrid stochastic-robust optimization approach for trading smart parking lots (SPL) with the local electricity market (LEM) within a decentralized scheduling framework and considering the renewable energy sources (RES) participation. In the proposed structure, the smart parking operator aims to minimize operating costs by submitting offers/bids to the LEM. Additionally, the impact of implementing smart charging strategies in the trading process of SPLs with the LEM is discussed. Dischargin profle of SPLs have been modeled using the k-means clustering method and considering the uncertain behavior of electric vehicle (EV) owners. The aim of the LEM operator is to clear the electricity market while considering the physical constraints of the electricity distribution network (EDN), fluctuations in wholesale electricity market (WEM) prices, and the uncertain behavior of RES. In this study, the uncertain behavior of WEM price and RES is modeled by robust optimization (RO) and stochastic programming (SP), respectively. To implement energy trade between SPLs and the LEM, alternating direction method of multipliers (ADMM) algorithm has been used in the framework of decentralized optimization. The proposed problem is formulated as a second-order conic programming (SOCP) model, leveraging the benefits of convex optimization and efficiently solved using the MOSEK solver. Solving the proposed hybrid optimization problem using the ADMM algorithm leads to a robust solution, which enables trade between SPLs and the LEM while respecting privacy. The results show that implementing a smart electric vehicle charging strategy leads to a 59.18%, 8.56%, and 11.23% reduction in the first to third parking lots. In addition, implementing the smart charging strategy also reduces the operating costs of LEM by 0.3%.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100794"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658775","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":"Efficient power conversion for renewable energy: Hybrid multi-output system with solar photovoltaic inputs and battery backup","authors":"Shyamantak Raj Barman ,&nbsp;Muzammil Ahmed ,&nbsp;Anish Ahmad ,&nbsp;Nabin Sarmah","doi":"10.1016/j.ref.2026.100811","DOIUrl":"10.1016/j.ref.2026.100811","url":null,"abstract":"<div><div>Microgrids play a crucial role in the integration of solar photovoltaic (SPV) energy into power systems, but conventional microgrid architectures rely on multiple power converters, leading to increased system bulkiness, higher losses, and reduced efficiency. This paper presents a hybrid multi-input, multi-output single-stage power conversion system which is compact and capable of delivering both DC and AC outputs while integrating dual solar photovoltaic sources simultaneously. The proposed non-isolated switched-boost high-gain topology significantly reduces the number of power-processing stages and enhances reliability through the addition of a battery storage unit with a State-of-charge (SOC) based controller. Four distinct operating modes are implemented to dynamically balance power among the SPV sources, battery, and connected loads. Detailed theoretical analysis, time-domain simulations and real-time Hardware-in-the-Loop (HIL) are used to validate the system operations. Results confirm stable DC link regulation at 600 V along with well-controlled three-phase AC output with a 220 V phase peak, and robust performance under 50% load variation across all modes. These findings demonstrate that the proposed architecture offers an efficient, compact, and reliable solution for next-generation microgrid applications.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100811"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938703","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":"Techno-economic analysis and machine learning integration for enhanced ammonia production","authors":"Meryem Bahaj ,&nbsp;Abdechafik EL Harrak ,&nbsp;Hassan Naanani ,&nbsp;Houssam Bouchouk ,&nbsp;Abdessamad Faik","doi":"10.1016/j.ref.2025.100805","DOIUrl":"10.1016/j.ref.2025.100805","url":null,"abstract":"<div><div>In 2023, around 72% of global hydrogen production came from natural gas via steam methane reforming, a highly energy-consuming process, emitting around 10 tons of CO₂ per ton of H₂ produced. This gray hydrogen can be partially decarbonized using carbon capture and storage technology, leading to blue hydrogen, which reduces CO₂ emissions by up to 90%. Alternatively, green H₂ is produced via water electrolysis using renewable energy sources. Finally, N₂ obtained through the cryogenic air separation technology interacts with H₂ in the Haber- Bosch process to produce NH₃. This study evaluates NH₃ purchase and import as well as different production scenarios in the case of Morocco at the Office Chérifien des Phosphates Group at Jorf Lasfar plant. It examines the gray ammonia process, blue ammonia, and green clean ammonia using water electrolysis. Detailed process models were provided using the Aspen software, including a techno-economic and sensitivity analysis to assess the feasibility of producing 4 tons of NH₃ daily. Finally, a gray ammonia plant was simulated, due to its extensive use and industrial relevance in Morocco, as well as its ability to generate large amounts of data for training and testing a machine learning model. The predictive model was trained to estimate energy consumption through equations that relate it to operating variables for each of the major energy-consuming units. By implementing optimization algorithms and thorough data analysis, energy consumption was successfully reduced by over 50% compared to the baseline process parameters.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100805"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748882","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":"Optimising solar energy communities in arctic micro-communities: addressing building azimuth challenges in Finnish Lapland","authors":"Vinay Shekar,&nbsp;Antonio Calò,&nbsp;Eva Pongrácz","doi":"10.1016/j.ref.2025.100798","DOIUrl":"10.1016/j.ref.2025.100798","url":null,"abstract":"<div><div>The Energy Performance of Buildings Directive mandates solar photovoltaic installations on new buildings and requires buildings undergoing major renovation to meet their energy needs through significant renewable energy generation. Arctic micro-communities often face dispersed settlements, suboptimal building azimuths, and high heating demands. This paper examines the convergence of the mandate and challenges to determine whether cross-property energy community frameworks can overcome building azimuth constraints in Arctic regions, using three villages in Finnish Lapland: Sinettä, Vanttauskoski, and Vikajärvi. Using 3D building models created with SketchUp and Skelion, the solar energy generation potential was simulated using the NREL PVWatts and JRC PVGIS calculators. Economic viability was assessed through investment cost calculations, annual revenue projections, and payback period analysis. Two scenarios were compared: a traditional approach of installing solar on all roofs, versus a cross-property, energy-community-optimised approach focusing on installations on optimally oriented roofs with energy sharing. Results show that while Scenario (1) could generate nearly 1890 MWh annually, it incurs 8–12 % energy losses due to suboptimal azimuths, extending payback periods by 2–3 years; Scenario (2) achieves higher efficiency and improves economic viability with a lower payback period, despite lower total generation. The solar coverage of non-heating electricity ranges from 42 % to 60 %, but drops to 12–18 % when heating is included, emphasising the need for complementary heating solutions. This research concludes that cross-property energy community frameworks combining solar PV deployment with complementary heating solutions, supported by municipal “Champion” entities and solar-aware zoning for future developments, can effectively optimise Arctic solar deployment.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"57 ","pages":"Article 100798"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748883","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}