Energy最新文献

{"title":"A mechanistic modeling method for limited overcharge abuse of lithium-ion batteries","authors":"Jingyu Hu ,&nbsp;Xiaoqiang Zhang ,&nbsp;Yue Wang ,&nbsp;Teng Wang ,&nbsp;Fangyuan Bi ,&nbsp;Luoran Sun ,&nbsp;Yunlong Shang","doi":"10.1016/j.energy.2025.137645","DOIUrl":"10.1016/j.energy.2025.137645","url":null,"abstract":"<div><div>Exploring the electrochemical-thermal coupling failure mechanism during limited overcharge abuse is essential to improving the safety performance of lithium-ion batteries (LIBs). However, existing overcharging studies mainly focus on thermal runaway (TR), not revealing electrochemical reactions or thermal effects in the limited overcharge stage before TR and their resulting failure mechanisms. Therefore, a mechanistic modeling method for limited overcharge abuse of LIBs is proposed. Specifically, in the limited overcharge stage, the model considers transition metal ion dissolution and electrolyte oxidation effects on battery conductivity, along with lithium deposition's impact on film resistance and heat generation. In the post-overcharge damage stage, it accounts for lithium dissolution's influence on film resistance. This enables the model to accurately simulate voltage and temperature responses under limited overcharge abuse. Compared with the traditional electrochemical-thermal coupling model, the mean square error (MSE) of voltage in the limited overcharge stage and the post-overcharge damage stage are reduced by 79.31 % and 91.40 %, respectively. This paper provides a new theoretical framework for the mechanistic analysis of the limited overcharge abuse behavior of LIBs. The proposed model can assess the degree of battery damage and provide critical data support to optimize the battery management systems (BMS) warning strategy.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137645"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670313","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":"Capacity optimization of a transportation-power coupled network based on elastic traffic demand user equilibrium using a multi-step evolutionary algorithm","authors":"Bin Li,&nbsp;Jia Li,&nbsp;Zhitao Liu,&nbsp;Hongye Su","doi":"10.1016/j.energy.2025.137513","DOIUrl":"10.1016/j.energy.2025.137513","url":null,"abstract":"<div><div>With the rapid proliferation of electric vehicles and the development of dynamic wireless charging (DWC) technology, the coupling between the transportation network (TN) and the power distribution network (PDN) has intensified, posing significant challenges to the capacity and operation optimization of the transportation-power coupled network (TPCN). This study proposes a multi-objective bi-level program to optimize the capacity of the TPCN. The upper level is a multi-objective optimization problem that takes the capacity of the TPCN as the decision variable, aiming to minimize the integrated cost, carbon emissions, and dependence degree of the PDN. The lower level addresses the coordinated optimization between the TN and the PDN. In the coordinated operation of the TPCN, the PDN determines the charging prices based on the capacity of devices provided by the upper level and transmits them to the TN. Considering the charging prices and elastic traffic demand, the traffic assignment problem of the TN is established as a user equilibrium (UE) model. Then, this paper transforms the UE model into variational inequalities (VIs) and designs a projection algorithm to address VIs. Subsequently, the DWC systems convert the traffic flow under UE into charging loads and transmit them to the PDN. Based on charging loads and the demand response from residential loads, the PDN scheduling is solved to minimize the operating cost of the PDN. Furthermore, a multi-step evolutionary algorithm consisting of a multi-step operator, a genetic operator, and an environmental selection is developed to handle the multi-objective bi-level program. The numerical experiments have verified the effectiveness of the proposed models and algorithms in solving the capacity and operation optimization of the TPCN.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137513"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670208","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":"Stochastic energy model predictive control for cooperative adaptive cruising","authors":"Yuxi Li ,&nbsp;Yu Zhang ,&nbsp;Gang Hao","doi":"10.1016/j.energy.2025.137573","DOIUrl":"10.1016/j.energy.2025.137573","url":null,"abstract":"<div><div>Efficient energy management represents a critical objective across diverse applications, notably within the automotive sector driving the development of Eco-Cooperative adaptive cruise control (Eco-CACC). While established control strategies frequently utilize model predictive control (MPC), these methods can exhibit limitations in stochastic energy optimization contexts. This study develops and evaluates a stochastic energy model predictive control (SE-MPC) framework designed for broader energy optimization problems, subsequently tailored and applied specifically to the CACC challenge. Key contributions include the integration of a Kolmogorov-Arnold network (KAN) based preceding vehicle speed estimation algorithm to bolster system robustness against uncertainties. Furthermore, a trajectory band loss function is integrated within the SE-MPC formulation. This function acts as an alternative to conventional hard state constraints, effectively mitigating issues related to solver infeasibility and convergence to local optima often encountered when imposing strict constraints under uncertainty. To enhance computational efficiency, a suboptimal SE-MPC variant is also proposed. Simulation results indicate that this suboptimal SE-MPC algorithm yields a 5.14 % reduction in energy consumption for the CACC application. Moreover, within multi-vehicle cooperative platooning scenarios, the SE-MPC demonstrates its capability to mitigate phantom traffic jams, achieving a 48.33 % reduction in energy consumption and enhancing vehicle string stability when responding to sudden lead vehicle braking. This research presents a versatile SE-MPC methodology applicable to energy optimization tasks, demonstrates its specific advantages within the demanding CACC context.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137573"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679200","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":"Microwave co-pyrolysis of Chlorella vulgaris and cow dung with composite additives: Characteristics, bio-oil analysis and reaction mechanism","authors":"Chunxiang Chen ,&nbsp;Haimin Ning ,&nbsp;Shuai Zhou ,&nbsp;Shiyi Zhao ,&nbsp;Ronglin Yang ,&nbsp;Xingchen Zhao","doi":"10.1016/j.energy.2025.137640","DOIUrl":"10.1016/j.energy.2025.137640","url":null,"abstract":"<div><div>The catalytic co-pyrolysis of microalgae and waste materials for sustainable energy production has emerged as a promising strategy. This study investigated the catalytic effects of Al₂O₃/activated carbon (noted as AxCy) and ZSM-5/activated carbon (noted as ZxCy) composite additives with different addition amounts (5 %, 10 %, 15 % and 20 %) and mixing ratios (7:3, 5:5, and 3:7) on microwave co-pyrolysis of CV and CD. The catalytic co-pyrolysis characteristics, product yield, and bio-oil composition of CV and CD were further analyzed by microwave thermogravimetry and GC-MS. Results demonstrated that adding ZxCy improved the co-pyrolysis characteristics of CV and CD, with the shortest reaction time (<em>T</em>_s, 1701 s) and the highest average reaction rate (<em>R</em>_v, 0.03780 wt%/s) achieved at 20 % Z5C5. The maximum liquid yield (23.30 wt%) was obtained at 15 % Z5C5. Furthermore, both composite additives elevated the hydrocarbon content in bio-oil and effectively removed O-containing and N-containing compounds by facilitating the Diels-Alder reaction, deoxygenation, dehydration, decarboxylation and cyclization. Specifically, the maximum hydrocarbon content (49.65 %) and deoxygenation efficiency (54.96 %) were found at 20 % A7C3 while the maximum denitrogenation efficiency (30.25 %) was achieved at 15 % Z3C7. These findings offer new insights into the valorization of CD and high-quality bio-oil produced under composite additives.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137640"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679203","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 CO2 capture and conversion with Ni-CaO-biochar for rice straw gasification","authors":"Kunpeng Sun,&nbsp;Siqian Jia,&nbsp;Xinzheng Wei,&nbsp;Chuanwen Zhao,&nbsp;Ning Cai","doi":"10.1016/j.energy.2025.137639","DOIUrl":"10.1016/j.energy.2025.137639","url":null,"abstract":"<div><div>Biomass gasification for syngas production is a viable method for both climate change mitigation and energy demand. In this study, biochar, a solid residue from each RS gasification, was used to prepare a CaO-biochar supported Ni composite catalyst, which was reused to catalyze RS gasification for the production of high-value syngas, and the effects of the ratio of CaO to biochar as well as the loading of Ni were investigated. The results showed that the best effect was achieved when the ratio of CaO to biochar was 1:1 and the loading of Ni was 10 wt%, at which time the total gas production was 697.36 mL/g biomass, and the syngas yield was 574.67 mL/g biomass with a ratio of 82.42 vol%. The 10 cycle experiments verified that the catalyst had a better cycle stability. This work demonstrates the great potential of CaO-biochar-based catalysts for efficient biomass gasification and CO₂ capture.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137639"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663675","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 comparative study of premixed and diffusion combustion strategies in a high-speed ammonia/diesel dual-direct-injection engine","authors":"Qingyang Wang ,&nbsp;Wuqiang Long ,&nbsp;Huanran Sun ,&nbsp;Yanan Hao ,&nbsp;Hua Tian ,&nbsp;Pengbo Dong","doi":"10.1016/j.energy.2025.137630","DOIUrl":"10.1016/j.energy.2025.137630","url":null,"abstract":"<div><div>Ammonia, as a carbon-free energy carrier, has garnered significant global attention as a promising alternative fuel. The increasing demand for cleaner fuels in internal combustion engines has driven intensive research into ammonia–diesel dual-fuel systems. However, the combustion strategies for ammonia remain underexplored. In this study, a comprehensive experimental comparison was conducted between premixed combustion and diffusion combustion modes. The comparison was carried out on a high-speed, four-stroke direct-injection dual-fuel engine platform, using identical fuel injection quantities. The effects of ammonia injection mass on combustion and emission characteristics were systematically investigated. The results indicate that in both combustion modes, increasing ammonia injection significantly suppresses complete diesel combustion, resulting in elevated CO emissions. Diffusion combustion, characterized by lower combustion temperatures and suboptimal ammonia–air mixing, effectively reduces thermal NO_x and N₂O formation. At low ammonia injection levels (lean equivalence ratios), diffusion combustion outperforms premixed combustion in terms of indicated thermal efficiency (ITE) and combustion stability. However, as the ammonia injection increases, excessive equivalence ratios severely hinder complete ammonia combustion. In contrast, the premixed mode maintains higher torque output, despite exhibiting inferior combustion stability and emission performance. This is due to enhanced combustion phasing and a higher degree of constant-volume combustion, even under fuel-rich conditions. This study provides practical insights for optimizing ammonia–diesel dual-fuel engine strategies, supporting the development of sustainable power solutions based on low-carbon or carbon-free fuels.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137630"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666038","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":"Power capacity optimization and long-term planning for a multi-energy complementary base towards carbon neutrality","authors":"Gen Li,&nbsp;Zhiyuan Luo,&nbsp;Chaohao Liao","doi":"10.1016/j.energy.2025.137644","DOIUrl":"10.1016/j.energy.2025.137644","url":null,"abstract":"<div><div>To achieve its carbon neutrality commitment by 2060, China is actively promoting wind and solar power generation. However, the inherent randomness, fluctuation, and intermittency of these renewable sources pose significant challenges to grid stability and complicate the matching of electricity supply with load demand. Large-scale multi-energy complementary bases, integrating thermal power generation and energy storage, represent a viable approach to mitigate the instability of renewables. Optimal planning and capacity configuration for such bases can enhance energy utilization efficiency while adhering to carbon emission constraints. This study presents a methodology for optimizing the long-term capacity configuration of large-scale multi-energy complementary bases, by synthesizing the objectives of cost, carbon emissions, and electric source-load deviation. The methodology is applied to a multi-energy complementary base integrating renewables, thermal powper and energy storage battery. Through the comparison of long-term planning scenarios, the wind-photovoltaic-thermal-battery system integrated with Carbon Capture, Utilization, and Storage (CCUS) proved optimal, demonstrating lower costs and reduced source-load deviation. Over the 30-year planning horizon, the installed capacities of wind power, photovoltaic power, and battery storage are projected to increase by 1.93, 5.86, and 11.77 times, respectively, with a maximum source-load deviation of 8.9 %. Operating characteristic analysis revealed that thermal power plays a critical role in peak load regulation in 2030 within the optimal system. However, its sufficiency diminishes approaching 2060. This optimal planning scheme provides valuable insights for policymakers when formulating low-carbon energy strategies.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137644"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670201","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 and numerical investigation of ammonia-water direct injection nozzle configurations for knock suppression in gasoline spark-ignition engines","authors":"Bo Shen ,&nbsp;Yan Su ,&nbsp;Beiping Jiang ,&nbsp;Xiaoping Li ,&nbsp;Zhaohui Jin ,&nbsp;Hao Yu ,&nbsp;Long Zhang","doi":"10.1016/j.energy.2025.137616","DOIUrl":"10.1016/j.energy.2025.137616","url":null,"abstract":"<div><div>This study experimentally and numerically evaluates the impact of ammonia-water direct injection (DI) nozzle configurations on knock suppression in gasoline spark-ignition (SI) engines under high-load conditions. The original six-hole injector was modified into two single-hole variants: DI-1 (nozzle holes oriented toward the piston) and DI-2 (holes directed toward the cylinder head). Experiments analyzed 12 end-of-injection (EOI) timings (−330°CA to 0°CA ATDC) and varying direct injection ratios (DIr) to assess knock suppression, combustion stability, and temperature distribution. Numerical simulations using CONVERGE software validated experimental results and provided insights into in-cylinder spray dynamics and flame propagation. Findings revealed that DI-1 significantly outperformed DI-2, achieving a broader effective knock suppression range (KI reduction up to 42 %) at minimal pulse widths (DIr = 3.5 %) due to enhanced cooling of the end-gas mixture via piston-directed spray alignment with tumble flow. Early-phase injection near bottom dead center (BDC, −180°CA ATDC) optimized cooling efficiency by maximizing spray dispersion during compression, whereas delayed injection post-BDC diminished suppression due to altered spray-wall interactions. The original six-hole injector, despite requiring higher DIr (9.5 %), demonstrated robust cooling performance but faced challenges in precise low-flow control. Combustion analysis highlighted that ammonia-water injection reduced peak cylinder pressure (by 8–12 %) and delayed combustion phasing (CA50 by 4–6°CA), necessitating a balance between DIr and ignition timing to avoid excessive retardation. Temperature field simulations confirmed DI-1's superior peripheral cooling, reducing high-temperature regions (&gt;730 K) by 18 % compared to DI-2. This work underscores the viability of ammonia-water as a knock inhibitor and proposes nozzle orientation optimization as a critical pathway for minimizing inhibitor consumption while maintaining thermal efficiency. The results provide actionable insights for designing high-performance DI systems in downsized, high-efficiency SI engines.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137616"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679195","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 and kinetic modeling of nitrogen oxide formation in ammonia/N-dodecane dual-fuel combustion","authors":"Yu Sun ,&nbsp;Yejian Qian ,&nbsp;Demeng Qian ,&nbsp;Zhen Gong ,&nbsp;Xiaofei Wei","doi":"10.1016/j.energy.2025.137612","DOIUrl":"10.1016/j.energy.2025.137612","url":null,"abstract":"<div><div>The use of diesel to ignite ammonia combustion is a key approach for utilizing ammonia as an alternative fuel in large compression ignition engines. This study develops a simplified reaction mechanism for ammonia/diesel mixtures using a decoupling modular approach, incorporating the chemical kinetics of n-dodecane and ammonia, as well as key steps in the formation of polycyclic aromatic hydrocarbons (PAH) and nitrogen oxides (NO_x). Laminar flame speeds of ammonia-n-dodecane mixtures under various conditions are experimentally measured to validate the mechanism. The results show that ammonia reduces thermal NO_x formation by lowering combustion temperatures in laminar flames. Fuel NO_x mainly arises from ammonia decomposition products (NH₂, H radicals). As flame temperature increases, free radical generation promotes fuel NOx consumption and thermal NO_x formation. In-cylinder, increasing ammonia energy ratio (AER) from 0 % to 45 % increases fuel NO_x production, with 45 % AER yielding three times higher fuel NO_x than 25 %. The peak thermal NO_x formation is delayed, and high-temperature zone distribution is reduced, indicating ammonia's role in inhibiting thermal NO_x formation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137612"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679199","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":"Efficient methanol production by combining municipal solid waste gasification, SOEC and methanolation reactor: A thermodynamic study","authors":"Jian Shen ,&nbsp;Yinong Li ,&nbsp;Shimeng Kang ,&nbsp;Bin Miao ,&nbsp;Zhihua Deng ,&nbsp;Penghui Yao ,&nbsp;Siyu Liu ,&nbsp;Jingyi Wang ,&nbsp;Zheng Zhong ,&nbsp;Siew Hwa Chan ,&nbsp;Zehua Pan","doi":"10.1016/j.energy.2025.137642","DOIUrl":"10.1016/j.energy.2025.137642","url":null,"abstract":"<div><div>Hydrogen plays a key role in achieving carbon neutrality goals, while the difficulties in hydrogen storage and transportation hinder the practical deployment of hydrogen energy. Converting hydrogen into methanol is a promising alternative option, given that methanol is currently widely used and the infrastructure is fully established. As for the carbon source, while capturing CO₂ from flue gas or air is expensive, using the syngas derived from the gasification of municipal solid waste (MSW) is a promising option. Given the above considerations, we proposed an MSW-to-methanol system for producing methanol using syngas generated from MSW gasification and hydrogen produced via water electrolysis powered by renewable energy. This system integrates an MSW gasifier, a purifier, a solid oxide electrolysis cell (SOEC), and a methanolation reactor. A detailed thermodynamic parametric study is performed to assess the effects of key operating variables, including the gasifier's equivalence air ratio (EAR), the molar ratio of water supplied to the SOEC relative to MSW carbon content (HCR), and variations in operating temperature and pressure. The results show that when the EAR is 0.3 and the HCR reaches 3.0, the energy conversion efficiency and exergy efficiency are maximized, reaching 52.1 % and 43.1 %, respectively, together with a carbon conversion ratio from MSW to methanol of 53.6 %.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"334 ","pages":"Article 137642"},"PeriodicalIF":9.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679917","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}