Applied Energy最新文献

{"title":"Data center load modeling through optimal energy consumption characteristics: A path to simultaneously enhance energy efficiency and demand response quality","authors":"Yongcheng Zhou ,&nbsp;Fanchao Wei ,&nbsp;Shuangxiu Li ,&nbsp;Zhonghao Wang ,&nbsp;Jinfu Liu ,&nbsp;Daren Yu","doi":"10.1016/j.apenergy.2025.126095","DOIUrl":"10.1016/j.apenergy.2025.126095","url":null,"abstract":"<div><div>In an era defined by the rapid advancement of artificial intelligence and the global pursuit of “carbon neutrality,” data centers face the dual challenge of enhancing energy efficiency while ensuring high-quality participation in power system demand response. However, conventional linear load models used in demand response programming often force data centers into a trade-off: sacrificing energy efficiency to ensure response quality, or vice versa. This paper presents a hierarchical load modeling framework that captures the optimal energy consumption characteristics of data centers to mitigate this conflict. At the foundational layer, a fine-grained, cross-system energy consumption model is developed to capture the intricate electrical-thermal-performance interactions among the computing, cooling, and power conditioning systems within the data center. Solving the energy optimization problem at this layer yields the optimal energy consumption characteristics of the data center. At the upper layer, these characteristics are analyzed and abstracted into a weakly nonlinear demand response-oriented load model, composed of four patterns that together form a piecewise function—two linear and two nonlinear regions—each corresponding to distinct workload conditions. The nonlinear relations are simplified from cubic to quadratic forms without significant loss of accuracy. Experimental results show that the linear regions achieve <span><math><msup><mi>R</mi><mn>2</mn></msup><mo>≥</mo><mn>0.9999</mn></math></span> with mean relative errors below 0.1404 %, while the quadratic regions reach <span><math><msup><mi>R</mi><mn>2</mn></msup><mo>≥</mo><mn>0.9982</mn></math></span> with mean relative errors under 0.6259 %. Applied to a typical demand response program, the proposed model reduces electricity costs by 13.40 % to 30.21 %, energy consumption by 24.19 % to 38.31 %, and cumulative curtailment deficit by 98.09 %, compared to conventional linear models.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126095"},"PeriodicalIF":10.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084314","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":"Planning for energy justice? A discourse analysis of energy planning and climate policy in South America","authors":"Daniel Lewis Wuebben ,&nbsp;Duilio Lorenzo Calcagno ,&nbsp;Maclane Henry","doi":"10.1016/j.apenergy.2025.126041","DOIUrl":"10.1016/j.apenergy.2025.126041","url":null,"abstract":"<div><div>Energy justice (EJ) frameworks strive for the equitable distribution of the costs and benefits of energy resources and systems. However, the meanings, values, and connections between EJ and energy planning remain ambiguous. This study employs a discourse analysis of top-level energy planning and climate policy documents from Argentina, Brazil, and Chile. The analysis identifies distinct EJ themes and maps these differences across seven primary social dimensions: Indigenous peoples, vulnerable populations, energy poverty, human rights, gender equity, citizen participation, and sustainability and well-being. The results indicate intertextual and extratextual tensions. For example, intergenerational and non-human justice adds new perspectives to planning policy, however, adoption of phrases like ‘citizens at the center’ and ‘leave no one behind’ in the analyzed documents indicate a homogenized view of EJ that may be directed by Global North discourse and downplay local struggles. This homogenization reflects implicit tensions and discrepancies between international agendas and the nuanced EJ needs and realities outside the Global North. Our analysis directly engages with questions on reconciling competing theories of energy justice and conceptualizing conflicting priorities between regions, offering insights into the complex landscape of energy transitions.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126041"},"PeriodicalIF":10.1,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084313","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":"Enhancing sustainable urban environments in China: Daytime radiative cooling for building energy efficiency and heat island mitigation","authors":"Ze Li,&nbsp;Jianheng Chen,&nbsp;Chuyao Wang,&nbsp;Wenqi Wang,&nbsp;Yang Fu,&nbsp;Xu Chen,&nbsp;Rui Zhang,&nbsp;Aiqiang Pan,&nbsp;Tsz Chung Ho,&nbsp;Kaixin Lin,&nbsp;Lin Liang,&nbsp;Chi Yan Tso","doi":"10.1016/j.apenergy.2025.126138","DOIUrl":"10.1016/j.apenergy.2025.126138","url":null,"abstract":"<div><div>Rapid urbanization in China has led to a significant increase in building energy consumption, highlighting the need for effective energy-saving strategies to enhance urban sustainability. Daytime radiative cooling (RC) offers a passive cooling solution that can reduce energy consumption without electricity usage. However, practical guidance on the applicability of RC coatings across diverse urban environments and climatic conditions remains limited. In this study, a RC model was integrated into the Urban Canopy Model (UCM) and validated through extensive large-scale field experiments. By simulating urban canyons in 338 cities across China, this work evaluated the potential of RC coatings applied to urban skins (walls and pavements) to enhance building energy efficiency. The analysis reveals that implementing RC coatings can significantly lower surface temperatures by up to 35 °C in Hong Kong and up to 40 °C in certain northwestern cities. This substantial temperature reduction leads to decreased building cooling loads, offering notable energy savings across different climatic zones. Based on these findings, strategic implementations of RC pavements and walls are proposed, particularly in densely populated high-rise areas within the temperate and hot-summer/warm-winter regions of China's climate zones. This research provides actionable strategies for reducing energy consumption in the built environment.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126138"},"PeriodicalIF":10.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071437","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":"Bioinspired design strategies for high-performance Zn-MnO₂ batteries","authors":"Ramesh Bhandari","doi":"10.1016/j.apenergy.2025.126140","DOIUrl":"10.1016/j.apenergy.2025.126140","url":null,"abstract":"<div><div>In this review, we explore bioinspired structural approaches that enhance both electrochemical performance and mechanical durability in Zn-MnO₂ batteries. Specifically, we investigate nature-based mass transport methods derived from plant vascular systems and hierarchical porosity structures to optimize Zn²⁺ ion transport and charge storage efficiency. Additionally, bioinspired mechanical reinforcement strategies—modeled after exoskeletons, honeycomb frameworks, and nacre-like structures—improve battery electrode stability by reducing phase transition-induced cracking and capacity deterioration. This review synthesizes three key strategies for mitigating dendrite growth and interfacial instability, focusing on conductive nanomaterial integration, defect engineering, and self-healing coatings. We highlight recent advancements in biomimetic coating that accelerate ion transport and minimize overpotential losses. Furthermore, we examine bioinspired approaches to overcoming Zn-MnO₂ battery limitations, particularly through the development of hierarchical porous MnO₂ cathodes and mechanically robust Zn anodes. The findings underscore the significant impact of biomimetic designs in extending cycle life, improving energy density, and enhancing safety, thereby positioning Zn-MnO₂ batteries as viable candidates for large-scale energy storage applications.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126140"},"PeriodicalIF":10.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071440","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":"Aging-induced, rate-independent Lithium plating: A complete mechanism analysis throughout the battery lifecycle","authors":"Peng Wang ,&nbsp;Rui Xiong ,&nbsp;Weixiang Shen ,&nbsp;Fengchun Sun","doi":"10.1016/j.apenergy.2025.126094","DOIUrl":"10.1016/j.apenergy.2025.126094","url":null,"abstract":"<div><div>Lithium-ion battery aging poses a critical challenge, and understanding its mechanisms is key to extending battery life. While most aging side reactions are largely influenced by current rate (C-rate), some reactions, such as aging-induced lithium plating, occur independently of C-rate and play a major role in battery aging. A rate-independent lithium plating has a profound impact on battery performance and longevity. To investigate this phenomenon, we conducted systematic aging tests including battery disassembly, scanning electron microscope imaging, and half-cell testing. Thermodynamic analysis revealed that aging is accompanied by the formation of a distinct open circuit voltage (OCV) plateau, which contracts over time as lithium deposition on the anode initially increases and then stabilizes. Additionally, we introduced an innovative phase-based scaling technique to segment and scale the anode's over-discharge potential curve. This technique enabled precise alignment of the electrode open circuit potential with battery OCV throughout its lifecycle, achieving a root mean square error below 10 mV under both plating and non-plating conditions. Furthermore, a strong correlation was identified between lithium plating and capacity degradation inflection point, underscoring its critical role in accelerating performance degradation. These findings provide valuable insights into battery aging mechanisms and contribute to developing more effective strategies for optimizing battery performance and extending battery life.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126094"},"PeriodicalIF":10.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071438","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 review of the defective TiO2 materials-based photocatalysis for environmental remediation: exploring the nexus between light wavelength and energy consumption","authors":"Rab Nawaz ,&nbsp;Marlia Mohd Hanafiah ,&nbsp;Zaini Sakawi ,&nbsp;Zaher Abdel Baki ,&nbsp;Sumaiya Bt Zainal Abidin ,&nbsp;Muzammil Anjum ,&nbsp;Aznan Fazli Ismail ,&nbsp;Ushtar Arshad","doi":"10.1016/j.apenergy.2025.126143","DOIUrl":"10.1016/j.apenergy.2025.126143","url":null,"abstract":"<div><div>Given the growing need to minimise emissions in order to combat climate change and the apparent association between electrical energy (EE) consumption and emissions, an inclusive analysis of the link between the wavelength of light and the EE consumption by defective titanium dioxide (D-TiO₂) nanomaterials (NMs) could be extremely useful. An explicit understanding of the nexus between the energy consumption by D-TiO₂ NMs―primarily EE―and the wavelength of light driving the oxidative degradation of organic compounds remain elusive. This review paper presents the analysis of the EE consumed by the D-TiO₂ NMs at different wavelengths and the corresponding treatment cost (T-cost) for the oxidative degradation of four different organic compounds: pesticides (PES), organic dyes (ODs), phenolic compounds (PCs), and pharmaceuticals (PMs). The quantity of EE consumed was estimated using a reliable scale-up metric proposed by IUPAC. According to the analysis, the EE consumption increases by ∼100 %, or 2.75 kWh/m³ for every nm, when the wavelength is extending from the UV (λ &lt; 400) to the visible range (λ &gt; 400 nm). Even while some D-TiO₂ NMs improved energy efficiency and decreased EE consumption to less than 5 kWh/m³, the values are still higher than those of a traditional treatment facility. To lower EE consumption and increase the energy efficiency of D-TiO₂ NMs for environmental remediation, techniques like matching the spectrum of light with that of the pollutant and D-TiO₂ NMs, light on and off modulation, and the development of hierarchical structures can be implemented.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126143"},"PeriodicalIF":10.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071439","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":"Electrification-enabled production of Fischer-Tropsch liquids – A process and economic perspective","authors":"Mahsa Mehrara ,&nbsp;Sennai Mesfun ,&nbsp;Johan Ahlström ,&nbsp;Andrea Toffolo ,&nbsp;Elisabeth Wetterlund","doi":"10.1016/j.apenergy.2025.126083","DOIUrl":"10.1016/j.apenergy.2025.126083","url":null,"abstract":"<div><div>Transitioning to biofuels is crucial for reducing greenhouse gas (GHG) emissions in transportation, but limited biomass availability requires maximizing carbon efficiency. This study evaluates Fischer-Tropsch liquid (FTL) production from biomass, focusing on the impact of partial electrification and carbon capture and storage (CCS) on efficiency and flexibility. Five configurations—ranging from a biomass-intensive base case to a fully electrified process—are simulated and assessed through techno-economic and GHG evaluations under fluctuating energy prices. Full electrification achieves the highest carbon efficiency, increasing carbon-to-liquid fuel conversion from 37 % to 91 %, but faces challenges due to high electricity demand (up to 2.5 MWh per MWh of fuel) and reliance on low-carbon grids. Partial electrification offers a cost-effective alternative, reducing production costs by up to 40 % compared to fully electrified cases, while maintaining a carbon efficiency of around 60 %. CCS enables net-negative emissions, though its viability hinges on sufficiently strong carbon pricing incentives. Compliance with sustainability mandates, such as Renewable Fuels of Non-Biological Origin (RFNBO) requirements, depends on access to decarbonized electricity. Overall, partially electrified BtL pathways enhance carbon utilization, reduce emissions, and offer resilience to market fluctuations. These pathways provide a promising balance of environmental and economic performance, outperforming both traditional BtL under high biomass prices and fully electrified e-fuels in terms of cost. Their advantages make them attractive from both investment and policy perspectives—especially in markets supported by stable electricity prices, carbon incentives, and sustainability-driven regulation.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126083"},"PeriodicalIF":10.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068910","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":"Online estimation of inertia-supporting sustaining power boundary of lithium-ion battery energy storage systems based on model-data fusion method","authors":"Shaoxin Shi ,&nbsp;Qiao Peng ,&nbsp;Tianqi Liu ,&nbsp;Yunteng Dai ,&nbsp;Jinhao Meng","doi":"10.1016/j.apenergy.2025.126064","DOIUrl":"10.1016/j.apenergy.2025.126064","url":null,"abstract":"<div><div>Lithium-ion battery energy storage system (BESS) demonstrates great potential to provide inertia support to the power grid. The balance between the efficient inertia support and secure operation of battery is challenging, which requires accurate estimation of battery output boundary, especially in online working conditions. However, the existing methods for assessing the output power boundary of battery usually ignore the special inertia-supporting output profile and the requirement for online application, limiting the accuracy and efficiency. This paper proposes a novel online estimation method of inertia-supporting sustaining power boundary (SPB) of BESS based on model-data fusion method (MDFM). First, a series of experiments are conducted to investigate the impedance characteristics of battery under inertia-supporting condition, based on which a negative resistor-based equivalent circuit model (ECM) is developed to involve the nonlinear solid-phase diffusion effects of battery. Recognizing the nonlinear impact of state of charge (SOC) and discharge current rate on the negative impedance, a support vector machine (SVM) is applied to model the negative impedance, where the experimental results are input as the training data. Then, an MDFM-based method is proposed for online parameter estimation of the improved ECM, where the negative impedance is estimated by the SVM in real-time. Based on the ECM, the inertia-supporting SPB of BESS, constrained by the cut-off voltage, SOC and maximum current thresholds, is estimated online by a multi-constraint-based method. Finally, experiments are conducted to validate the MDFM-based ECM estimation method and the multi-constraint-based online SPB estimation method. Compared to conventional peak power estimation methods, the proposed method significantly improves the accuracy of BESS's output boundary assessment in an online manner.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126064"},"PeriodicalIF":10.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068909","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":"Green optimization for micro data centers: Task scheduling for a combined energy consumption strategy","authors":"Yuanyuan Hu ,&nbsp;Jing Yang ,&nbsp;Xiaoli Ruan ,&nbsp;Yuling Chen ,&nbsp;Chengjiang Li ,&nbsp;Zhaohu Zhang ,&nbsp;Wei Zhang","doi":"10.1016/j.apenergy.2025.126031","DOIUrl":"10.1016/j.apenergy.2025.126031","url":null,"abstract":"<div><div>As micro data centers (MDCs) continue to increase in size, their high energy consumption leads to increasing environmental concerns, making it crucial to explore optimization methods to reduce energy consumption. Deep reinforcement learning (DRL) utilizing server energy consumption models can yield a task scheduling scheme for optimizing energy consumption. However, server energy consumption models fail to capture the overall energy consumption fluctuations of MDCs. Moreover, existing scheduling methods lack the adaptability to dynamically adjust policies in response to real-time load and environmental changes. To address these challenges, we propose a novel task scheduling approach using SAC-Discrete and a combined energy consumption model (SAC-EC). This approach employs distributed learning and parallel task assignment across multiple servers using SAC-Discrete, and integrates a combined energy consumption model that includes a server energy consumption model, a cooling energy consumption model, and an adaptive thermal control model to optimize the overall energy consumption of MDCs. For efficient energy cost optimization, SAC-EC employs a dynamic pricing policy that assigns reward values to energy consumption and models the policy update, server resource scheduling, and policy learning processes. The experimental results on real datasets demonstrate that, compared with six mainstream reinforcement learning methods, SAC-EC reduces server energy consumption by 18.44 % and cooling energy consumption by 30.68 % on average. In addition, SAC-EC is optimized with respect to energy cost, adaptive thermal energy consumption, server room temperature control, and reward values. The code is available at: <span><span>https://github.com/ybyangjing/SAC-EC</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126031"},"PeriodicalIF":10.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068911","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":"Experimental demonstration of dynamic demand response scheduling for PEM-electrolyzers","authors":"Roger Keller ,&nbsp;Florian Joseph Baader ,&nbsp;André Bardow ,&nbsp;Martin Müller ,&nbsp;Ralf Peters","doi":"10.1016/j.apenergy.2025.126014","DOIUrl":"10.1016/j.apenergy.2025.126014","url":null,"abstract":"<div><div>The use of renewable energy sources, such as wind power and photovoltaics is expected to produce fluctuating electricity prices. These fluctuations give PEM electrolyzers the opportunity to reduce costs, as they can adapt their production rates rapidly. Moreover, typically slow temperature dynamics of electrolyzers increase their flexibility for effective operational management strategies. With a defined temperature trajectory during scheduling optimization, overload operation of the electrolyzer for a given amount of time is possible. However, the temperature dynamics are typically nonlinear. In conjunction with discrete on/off decisions, temperature dynamics lead to mixed-integer nonlinear optimization problems for scheduling that are highly challenging to solve in real time. In this study, we experimentally validate the dynamic ramping scheduling optimization method that precisely linearizes nonlinear temperature dynamics using a flatness-based coordinate transformation. Utilizing the available information from the dynamic scheduling optimization a 100 kW PEM electrolyzer was operated by studying three stack temperature control methods, rejecting disturbances from load variations. Identifying a suitable control method was essential to guarantee the desired temperature tracking performance of the optimization. Our experiments show a 3.8 % cost reduction compared to the benchmark without overload operation. The designed PEM electrolyzer model also deviated only 0.6 % in costs from the experiment. Simulative scaling of PEM electrolysis to 2 MW demonstrates even higher cost reductions with the dynamic ramping method, as the larger electrolyzer has slower dynamics.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126014"},"PeriodicalIF":10.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068912","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}