Applied Energy最新文献

{"title":"Global diffusion and key features of Energy Communities with a main focus on building loads modelling and management: A review","authors":"Elisa Belloni ,&nbsp;Tommaso Ferrucci ,&nbsp;Davide Fioriti ,&nbsp;Andrea Tumiati ,&nbsp;Davide Poli","doi":"10.1016/j.apenergy.2025.126461","DOIUrl":"10.1016/j.apenergy.2025.126461","url":null,"abstract":"<div><div>The whole world is moving towards energy communities and energy sharing, each country with its own history, resources, and needs that determine different legislations and infrastructures, but above all different application models. This paper reviews the literature on Energy Communities (ECs), with a focus on Renewable Energy Communities (RECs), in promoting decarbonization and enhancing the flexibility of energy systems through decentralized energy generation, storehouse, and demand-side management. A systematic review on the classification of aggregation forms and global worldwide development of ECs is also conducted. The paper also explores the integration of renewable energy sources (RES), energy storage systems (ESS) and smart technologies, demand response strategies applications able to improve the overall benefits of the communities, and the importance of prosumers behavior in achieving energy effectiveness. Case studies recently analyzed by prominent scholars and researchers are analyzed to show the design objectives and the key features in REC scenarios and their impact on energy systems and on the national transmission grid. The findings present the challenges and openings in RECs diffusion and their role in the broader energy transition scenario.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126461"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695415","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":"Combining electrochemistry and data-sparse Gaussian process regression for lithium-ion battery hybrid modeling","authors":"Jackson Fogelquist,&nbsp;Xinfan Lin","doi":"10.1016/j.apenergy.2025.126458","DOIUrl":"10.1016/j.apenergy.2025.126458","url":null,"abstract":"<div><div>The widespread adoption of lithium-ion batteries is driving the concurrent development of advanced battery management systems, which seek to maximize safety and performance through state-of-the-art control, diagnostic, and prognostic techniques. To enable these capabilities, battery models must provide accurate predictions of output voltage and physical internal states, which is challenging due to the inevitable presence of system uncertainties and limited online computational resources. In response, a computationally-efficient hybrid modeling framework is proposed that integrates a physics-based electrochemical battery model with a Gaussian process regression (GPR) machine learning model to compensate for output prediction errors due to system uncertainties. A key feature of the framework is a proposed data sampling procedure that mitigates computational expense by leveraging the prediction capability of GPR under sparse data. The hybrid model was experimentally validated, yielding an average prediction root-mean-square error (RMSE) of 7.3 mV across six testing profiles, versus 119 mV for the standalone electrochemical model. The observed ratio of computation time to modeled time was 0.003, which is amply sufficient for online BMS applications. Finally, in a simulated BMS demonstration, the hybrid model was observed to reduce parameter estimation errors by one order of magnitude, the voltage prediction RMSE by 63 %, and the state estimation RMSE by 52 % when compared against the standalone electrochemical model.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126458"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695425","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":"Government attention and energy poverty: empirical evidence from China","authors":"Yawen Li ,&nbsp;Yuhao Zhu ,&nbsp;Rongxiang Rui ,&nbsp;Chuanhua Wei","doi":"10.1016/j.apenergy.2025.126490","DOIUrl":"10.1016/j.apenergy.2025.126490","url":null,"abstract":"<div><div>Improving human well-being and sustainable development worldwide are severely hampered by energy poverty. This study investigates the impact of the Chinese government's policy priorities on energy poverty and analyzes the underlying mechanisms driving this relationship. The findings aim to inform more effective policies for alleviating energy poverty. To assess energy poverty comprehensively, the study constructs a multidimensional index encompassing four key dimensions: service accessibility, infrastructure completeness, consumption cleanliness, and energy affordability and efficiency. From 2010 to 2022, the degree of energy poverty in 30 Chinese provinces (excluding Tibet, Hong Kong, Taiwan, and Macau, due to data unavailability) is evaluated using the entropy-weighted TOPSIS method. Furthermore, a policy tool theory-based dynamic spatial Durbin model is used to test the mediating functions of three policy tools—technological support, market regulation, and green investment—and investigate the spatial spillover effects of government attention to energy poverty. The findings show that government intervention reduces energy poverty in nearby areas through a “demonstration effect,” in addition to improving local energy poverty. Additionally, examination of the mediating effect demonstrated that market regulation, green investment, and technological support significantly mediate the impact of government attention on energy poverty. In particular, the government may improve the efficiency of energy poverty alleviation by bolstering market regulation, boosting technological support, and encouraging green investment.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126490"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695424","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":"An economic and environmental analysis of retrofitted fuel cell electric heavy-duty trucks","authors":"Julius Hausmann ,&nbsp;Achim Kampker ,&nbsp;Tim Kemperdick ,&nbsp;Peter Letmathe","doi":"10.1016/j.apenergy.2025.126455","DOIUrl":"10.1016/j.apenergy.2025.126455","url":null,"abstract":"<div><div>The decarbonization of the freight transportation sector is posing significant challenges. Technical, economic, and environmental assessments have been conducted to determine the impact that alternative powertrains are having on the heavy-duty vehicle sector. However, the literature lacks information on how retrofitting might affect the outcomes. This article analyzes the effect of retrofitting on economic and environmental dimensions, both individually and in combination. We determine the most advantageous time frame for economically and environmentally effective retrofitting while considering potential trade-offs. Our methodology incorporates Total Cost of Ownership, Life Cycle Assessment, and Total Cost of Carbon Abatement. In addition to retrofitting costs, we also account for purchase costs, fuel costs, hydrogen prices, residual values, and other relevant cost categories in our model. Our findings indicate that the optimal timing of retrofitting in terms of both economic and environmental factors largely depends on the method of hydrogen production that is utilized. For fuel cell electric trucks to remain competitive, it is necessary to maintain a hydrogen price below 5 <span><math><mfrac><mtext>€</mtext><mrow><mi>k</mi><mi>g</mi><msub><mi>H</mi><mn>2</mn></msub></mrow></mfrac></math></span> when subsidies are in place. Our results show that, when no subsidies are in place, retrofitted fuel cell electric trucks are not competitive at all. Policymakers should offer greater certainty to fleet operators, should promote increased investments in renewable hydrogen production to reduce the levelized cost of hydrogen, and should approach policy instruments more comprehensively.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126455"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695426","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 hybrid sensible-latent seasonal heat storage systems","authors":"William Delgado-Díaz ,&nbsp;Willy Villasmil ,&nbsp;Marcel Troxler ,&nbsp;Ruben Hijwegen ,&nbsp;Reto Hendry ,&nbsp;Ueli Schilt ,&nbsp;Philipp Roos ,&nbsp;Rebecca Ravotti ,&nbsp;Anastasia Stamatiou ,&nbsp;Sophia Haussener ,&nbsp;Jörg Worlitschek","doi":"10.1016/j.apenergy.2025.126235","DOIUrl":"10.1016/j.apenergy.2025.126235","url":null,"abstract":"<div><div>This study presents a coupled techno-economic and environmental model of hybrid sensible-latent thermal energy storage (TES) systems, integrating phase change material (PCM) macro-capsules to enhance storage capacity and performance. The multi-scale model accounts for stratification in the sensible storage and phase change dynamics in the PCM capsules. This framework is used to perform multi-objective optimization across the full range of thermal self-sufficiency (<span><math><msub><mtext>SS</mtext><mrow><mtext>th</mtext></mrow></msub></math></span>) levels for a multi-family building. The results show that a 70 % <span><math><msub><mtext>SS</mtext><mrow><mtext>th</mtext></mrow></msub></math></span> offers the optimal balance between economic feasibility and environmental impact, with a Levelized Cost of Heat (LCOH) of 0.27 CHF/kWh and a Global Warming Potential (GWP) reduction of 76 % compared to fossil fuel alternatives. Systems targeting up to 85 % <span><math><msub><mtext>SS</mtext><mrow><mtext>th</mtext></mrow></msub></math></span> are technically feasible but come with increased costs (up to 0.33 CHF/kWh), while exceeding 85 % <span><math><msub><mtext>SS</mtext><mrow><mtext>th</mtext></mrow></msub></math></span> results in exponential increases in both cost and storage volume. Maximizing photovoltaic (PV) and heat pump (HP) power is critical for optimizing system performance. Future advancements in PCM technology and decreasing PV costs could lower the LCOH to 0.23 CHF/kWh and the GWP to 21 % of fossil fuel systems, demonstrating significant potential for long-term cost reductions and sustainability.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126235"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695416","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 the impact of driving styles on EV battery pack SOC inconsistency based on real urban driving data","authors":"Lin Hu ,&nbsp;Jiangluo Chen ,&nbsp;Jing Huang ,&nbsp;Qingtao Tian ,&nbsp;Maitane Berecibar ,&nbsp;Changfu Zou","doi":"10.1016/j.apenergy.2025.126426","DOIUrl":"10.1016/j.apenergy.2025.126426","url":null,"abstract":"<div><div>The SOC inconsistency among battery cells affects the available capacity, power output, lifespan, and safety of battery packs. Therefore, analyzing SOC inconsistency is essential. Since different driving styles involve significant variations in acceleration and braking behaviors, they influence the magnitude and frequency of charging and discharging currents, thereby intensifying inconsistency. To investigate the impact of driving style differences on battery pack SOC inconsistency, this study first conducted real-vehicle experiments, collecting 66 sets of electric vehicle driving data representing various driving styles. Then, a battery pack model was established, with the current data collected from real-vehicle experiments used as input for simulation. Based on the charge-discharge current magnitude and charging frequency under different driving styles, the impact of driving behavior on battery pack inconsistency was further analyzed. In addition, dynamic inconsistency metrics were proposed to describe the temporal evolution of parameter inconsistency within the battery pack. Results show that due to differences in driving conditions, the battery pack experiences varying current magnitudes and charging frequencies, leading to different levels of SOC inconsistency. Moreover, the influence of driving styles on SOC inconsistency varies with initial state of the battery pack: under inconsistent Coulomb efficiency and self-discharge rates, aggressive driving results in the highest inconsistency, while cautious driving shows the best consistency. However, under temperature inconsistency, this trend is reversed. This study clarifies the variation patterns of SOC inconsistency under different initial conditions and driving styles, offering useful insights for designing intelligent equalization strategies adapted to specific driving styles in electric vehicles.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126426"},"PeriodicalIF":10.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695413","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 dynamic coupling strategy for wave-WEC farm interactions: Implications on regional wave climate and wave energy deployment","authors":"Jinghua Wang ,&nbsp;Qingwei Ma ,&nbsp;Zhengtong Yang ,&nbsp;Yao Zhang ,&nbsp;Shiqiang Yan ,&nbsp;Songye Zhu ,&nbsp;Ye Li","doi":"10.1016/j.apenergy.2025.126440","DOIUrl":"10.1016/j.apenergy.2025.126440","url":null,"abstract":"<div><div>Harnessing ocean wave energy through Wave Energy Converter (WEC) farms presents a promising pathway for ocean renewable deployment. Yet, accurately modelling the interactions between WEC arrays and the wave field remains a critical challenge, particularly in assessing energy extraction effects on wave climate and coastal processes. This study presents a novel coupling methodology for spectral wind wave models to accurately simulate the dynamic interactions between ocean waves and WEC farms, incorporating Power Take-Off (PTO) effects. The proposed approach enables high-fidelity modelling of wave energy attenuation induced by WEC arrays through two distinct yet complementary strategies: (1) a frequency-domain formulation based on capture width, and (2) a time-domain representation using device velocities and PTO forces/impedance. A robust numerical algorithm has been developed to implement these methods on unstructured triangular grids within the spectral Wind Wave Model III (WWMIII). After rigorous verifications across a variety of wave conditions, the model is applied to investigate the impacts of WEC farms on wave power resources in the waters off west Orkney, Scotland. The results reveal valuable insights into spatiotemporal variations in wave power and spectral characteristics. Specifically, the simulation results by adopting the time-domain approach revealed a 1.2 <em>m</em> localized reduction of significant height within the farm and a 0.1 <em>m</em> ∼ 0.2 <em>m</em> reduction at the mouth of the bay near Brough Head. The spectra exhibited a distinct peakedness due to the pronounced attenuation of super-harmonics. The present model offers a useful tool for assessing WEC farm performance as well as their environmental impacts. This work advances the field by providing an alternative approach to the family of existing models (e.g., SNL-SWAN) for PTO-integrated wave farm simulations while initiating new research on coupling phase-averaged spectral wave models with the state-of-the-art time-domain Wave Structure Interaction (WSI) models. By enabling a more realistic representation of PTO dynamics, the proposed framework supports improved forecasting of wave energy extraction efficiency and its effects on marine environments, contributing to sustainable ocean renewable deployment.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126440"},"PeriodicalIF":10.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685809","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 food waste-to-bioenergy supply chain with rate of return under triple bottom line approach","authors":"Arzo Rani ,&nbsp;Shubham Kumar Singh ,&nbsp;Abhinav Goel ,&nbsp;Anand Chauhan","doi":"10.1016/j.apenergy.2025.126454","DOIUrl":"10.1016/j.apenergy.2025.126454","url":null,"abstract":"<div><div>The increasing global concern over food waste management and sustainable energy production has driven the need for an efficient food waste-to-bioenergy supply chain. However, achieving economic viability with environmental sustainability and social benefits remains challenging. The study proposes an optimized food waste to bioenergy supply chain model that integrates a multi-objective optimization framework based on the triple bottom line approach. The model incorporates an incentive-based food waste collection policy, enhancing the rate of return of food waste and reducing dependence on secondary feedstock. The effect of food waste availability on supply chain sustainability is analyzed under several scenarios, and the environmental and social impact of the food waste-to-bioenergy supply chain is assessed using a life cycle assessment approach. The multi-objective mixed integer linear programming problem is optimized using the multi-objective particle swarm optimization technique. Numerical results indicate that implementing an incentive mechanism, with the optimal acquisition cost of $3.4, increases the rate of return on food waste by 96.7 %, significantly maximizing the social impact while minimizing environmental impact and overall supply chain cost. However, procuring secondary feedstock mitigates supply chain risk and maintains bioenergy production but increases total cost, environmental, and social impact by 17.12 %, 3.92 %, and 16.67 %, respectively. The Pareto-based trade-off analysis demonstrates the flexibility of the multi-objective optimization model in balancing objectives. The findings offer strategic insights for policymakers and industries to integrate sustainable food waste management with bioenergy production, offering a comprehensive decision-support framework for enhancing sustainability and efficiency in the food waste-to-energy sector.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126454"},"PeriodicalIF":10.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685807","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":"The impact of the government's new energy storage policy on carbon emission reduction of enterprises – Evidence from China","authors":"Liming Zhang ,&nbsp;Juan Zhan ,&nbsp;Helin Sun ,&nbsp;Qin Lu","doi":"10.1016/j.apenergy.2025.126483","DOIUrl":"10.1016/j.apenergy.2025.126483","url":null,"abstract":"<div><div>New energy storage (NES) is a crucial technology for effectively integrating distributed energy sources and achieving a low-carbon transformation in the power sector. Based on the data of listed industrial enterprises in China from 2013 to 2021, this study examines the effects of the government's NES policy on carbon emissions using a staggered difference-in-differences (DID) method. The results indicate that NES policy significantly promotes the reduction of enterprises' carbon emissions intensity. Our results remain consistent after a series of robustness tests. Heterogeneity analysis shows that the NES policy has a more significant impact on non-state-owned enterprises (non-SOEs), large-sized and medium-sized enterprises, enterprises in low-energy-consuming industries, and enterprises in clean energy-rich areas. Moreover, the mechanism analysis reveals that the proportion of clean energy generation, the capacity for energy storage innovation, and the level of marketization exert positive effects on the relations between NES policy and carbon emission reduction. This study not only contributes to further improving China's NES-related policies, but also provides a useful reference for the formulation and implementation of energy storage policies in other emerging economies.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126483"},"PeriodicalIF":10.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695401","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":"Radiation regulation of silicon photovoltaic modules for effective thermal management: A potential analysis","authors":"Tao Li ,&nbsp;Tao Ma ,&nbsp;Kun Yu ,&nbsp;Jinqing Peng","doi":"10.1016/j.apenergy.2025.126470","DOIUrl":"10.1016/j.apenergy.2025.126470","url":null,"abstract":"<div><div>Enhancing the radiative cooling capacity or reflecting all the sub-bandgap photons to realize effective thermal management has elicited great interest. Numerous related investigations of the enhancement have been covered in literature, while the photoelectric conversion along with the working conditions still exhibit significant variability, and the mechanisms through enhancing heat dissipation or suppressing heat generation are entirely distinct. Herein, a comprehensive potential analysis is conducted on the radiation regulation technologies. Building upon our simulation framework, a modified thermal network with refined fifteen nodes that cover the entire structure of the PV module is integrated, enabling precise determination of the temperature trend. Accordingly, the basic properties of the PV module and the energy distribution are calculated, along with the power change of heat generation and dissipation of the module. The optimization mechanisms behind the temperature decline are revealed, and the practical temperature reductions under different working conditions are determined for reference. The results reveal that, for a silicon PV module, the radiation regulation scheme through rejecting all the non-contribution solar photons can eliminate below bandgap loss and suppress parasitic absorption and is much more efficient than enhancing its radiative cooling capacity. The average temperature reductions can reach up to 2.86 °C, 3.75 °C, and 4.60 °C respectively by rejecting all non-contribution photons compared to the original module with the incoming solar irradiance intensity of 600, 800, and 1000 W/m², while the values decrease to 0.68 °C, 0.77 °C and 0.86 °C if only the emissivity is improved to unity, and further drop to 0.64 °C, 0.70 °C and 0.78 °C if the sub-bandgap reflection capacity has been improved. Additionally, all the performance enhancements will be diminished with the wind speed, and enhancing emissivity is more suitable to be applied in hot environment, whereas reflecting useless photons prefers cold.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"399 ","pages":"Article 126470"},"PeriodicalIF":10.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685797","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}