Energy Reports最新文献

{"title":"Comparative experimental evaluation of three-wire SAPF control strategies for power quality improvement","authors":"Zaid H. Ali ,&nbsp;David Raisz","doi":"10.1016/j.egyr.2025.01.020","DOIUrl":"10.1016/j.egyr.2025.01.020","url":null,"abstract":"<div><div>Filtering plays a vital role in maintaining power quality in three-phase systems, and Shunt Active Power Filters (SAPF) have emerged as the preferred solution in modern applications. In order to compare the performance outcomes of PI, PR, and PI-PR controllers, a laboratory implementation of Direct Current Control (DCC) will be presented in this study. Traditional PI control methods have limitations in eliminating high harmonics in line currents and harmonics at the DC link of an SAPF. In contrast, the PR control method offers significant advantages by nullifying DC link harmonics and providing superior performance and accuracy compared to conventional control and DC link voltage control methods. This improvement is evident in terms of power quality enhancement and cost-effectiveness for SAPF systems since it lowers operating costs, enhances voltage stability, and decreases harmonic distortion. Furthermore, a proposed PR-PI strategy introduces a modernized control structure with an enhanced capability to compensate for low-order harmonics. The suggested control method demonstrates the ability to maintain a low Total Harmonic Distortion (THD) in the injected current, even when abnormal grid conditions arise, in contrast to PI and PR controllers. Additionally, it delivers reduced overshoot and settling time, along with a smaller steady-state error. The effectiveness of these three control methods, DCC-PI, DCC-PR, and DCC-PI-PR, was demonstrated through simulation and experimental results, emphasizing their respective performances in improving power quality.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1332-1349"},"PeriodicalIF":4.7,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real options valuation for refinery and petrochemical investments: A feasibility study in Indonesia","authors":"Reizaldi Gustino,&nbsp;Dzikri Firmansyah Hakam,&nbsp;Eko Agus Prasetio","doi":"10.1016/j.egyr.2025.01.007","DOIUrl":"10.1016/j.egyr.2025.01.007","url":null,"abstract":"<div><div>Petroleum products serve as a main driver in economic development of Indonesia through their uses as energy source and raw materials for petrochemical industries. Indonesia still relies on imported petroleum products as fuel and raw materials for petrochemical industries, where 35 % of fuel demand is and 50 % of petrochemical industries raw materials are fulfilled through imports. This situation drives the urgency to a new investment to develop integrated oil refinery and petrochemical complex to fill the market demand and close the gap of imported products. As the risks of investing in a refinery or petrochemical plant are massively high, project sponsors need comprehensive information on project feasibility. This research will examine how does Real Options Valuation is compared to Discounted Cash Flow method in providing the feasibility information of the project and how incorporating ROV to assess the feasibility of the project improve investment decision of the project sponsors. This research will be the first to studies the impact of delay of timing in investment decision and utilize ROV as an investment decision-making tool for an integrated refinery and petrochemical project in Indonesia. Two cases were studied in this research, which is Base case scenario where the project is executed in sequence starting with design phase and immediately followed by construction phase, and Alternative case scenario where additional 2 years between design phase and construction phase is added for further market analysis. Managerial flexibility was assessed in the ROV using abandon option after design phase. The DCF analysis result shows that both cases are economically feasible with positive NPV of US$ 1085 million and US$ 812 million for respective cases and IRR of 11.87 % and 11.78 % which is above target IRR of 11 %. Further analysis using ROV shows that the managerial flexibility feature in ROV resulted in additional option value of US$ 1546 million and US$ 795 million on top of the NPV for respective cases. It is concluded that Base case would be favorable just by taking into account the static assumption used in the evaluation. However, considering the uncertainty and risk of the market situation, it is worth taking additional period to validate market situation proposed in Alternative case. On the feasibility assessment method, it can be concluded that while DCF relies on fixed input of cash flow projection assumed during project evaluation and does not have the flexibility to cope with uncertainty in the future, ROV can capture the risk of uncertainty in the future and give the flexibility to project sponsors to exercise available options. Considering the risk from future uncertainty in the long term and the irreversibility nature of refinery and petrochemical investment, utilizing ROV to assess the project was proven effective and beneficial in providing more comprehensive investment recommendations to project sponsors.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1321-1331"},"PeriodicalIF":4.7,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incremental neuroconductance to analyze performance losses due to soiling in photovoltaic generators","authors":"Ernesto Palo-Tejada ,&nbsp;Victoria Campos-Falcon ,&nbsp;Jan Amaru Töfflinger","doi":"10.1016/j.egyr.2025.01.009","DOIUrl":"10.1016/j.egyr.2025.01.009","url":null,"abstract":"<div><div>Many large photovoltaic plants are being installed in desert regions with very high solar irradiation but are subject to significant losses due to soiling. Quantifying soiling losses in energy production is crucial for optimizing cleaning schedules and the plants’ bankability but can be challenging, particularly when knowledge about soiling losses is desired before plant implementation. This work introduces an innovative, self-contained, and easily deployable system that quantifies energy losses from dust accumulation on photovoltaic arrays. Our approach, termed ‘Incremental Neuroconductance,’ combines a photovoltaic module, irradiance, and module temperature sensors with a calibrated electrical model and a trained artificial neural network. The models estimate the clean module’s maximum power output based on the measured irradiance and module temperature. The system simultaneously measures the module’s maximum power by using maximum power point tracking based on the incremental conductance method. Under clean module conditions, the models and measurements yield identical power values. However, once the module starts accumulating dust, the measurements yield lower power values than predicted by the electrical model and the neural network, quantifying the power loss due to soiling. We assess and contrast the precision of the electrical and the artificial neural network models in estimating the clean module’s power, emphasizing the importance of their calibration and training using experimental data. Our findings reveal comparable performances between the two models, with the trained neural network offering lower computational costs. Model recalibration and retraining can compensate for long-term module degradation. We report on the results from one year of system operation, demonstrating its capability to predict performance losses due to the soiling of the photovoltaic module without requiring the implementation of a complete photovoltaic system or plant. Over the year, maintaining a monthly cleaning schedule, the system estimates a 7 % energy loss due to soiling for a photovoltaic array located in the desertic region of Arequipa, Peru.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1384-1399"},"PeriodicalIF":4.7,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward a sustainable future: Determinants of renewable energy utilisation in Canada","authors":"Vu Ngoc Xuan","doi":"10.1016/j.egyr.2025.01.014","DOIUrl":"10.1016/j.egyr.2025.01.014","url":null,"abstract":"<div><div>This study investigates the nexus between carbon dioxide (CO₂) emissions, electricity consumption, foreign direct investment (FDI), gross domestic product (GDP), and renewable energy in Canada from 1990 to 2023, using an Autoregressive Distributed Lag (ARDL) approach. The research addresses critical environmental challenges posed by economic growth and energy utilization, primarily understanding how these factors influence CO₂ emissions over time. The results reveal that a 1 % increase in electricity consumption is associated with a 0.02 % rise in CO₂ emissions, underscoring the environmental impact of Canada’s energy-intensive economy. Additionally, FDI shows a negative correlation with emissions, indicating that a 1 % rise in FDI contributes to a 0.05 % decrease in CO₂ emissions. Conversely, renewable energy utilization demonstrates significant potential for emissions reduction; a 1 % increase in renewable energy leads to a 1.15 % decrease in CO₂ emissions, highlighting the efficacy of clean energy in mitigating environmental impacts. The findings reveal that CO₂ emissions significantly decrease renewable energy utilization, electricity consumption, foreign direct investment, and economic growth significantly increase renewable energy utilization. Furthermore, electricity consumption and GDP significantly drive CO₂ emissions, while renewable energy and FDI have mitigating effects. These results imply that while economic growth and energy usage are crucial for Canada's development, transitioning to renewable energy and strategically attracting FDI can reduce carbon emissions. The study offers policy recommendations to support Canada's climate goals by encouraging investments in renewable energy and promoting sustainable economic growth.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1308-1320"},"PeriodicalIF":4.7,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating active and passive solar strategies in modular residential positive energy building in semi-arid climates: Insights from the TDART project","authors":"Aicha Chorak ,&nbsp;Mustapha Mahdaoui ,&nbsp;Mohamed Amine Ben Taher ,&nbsp;Samir Idrissi Kaitouni ,&nbsp;Ayoub Afass ,&nbsp;Mustapha Ouardouz ,&nbsp;Mohammed Ahachad","doi":"10.1016/j.egyr.2024.12.073","DOIUrl":"10.1016/j.egyr.2024.12.073","url":null,"abstract":"<div><div>The recent push for decarbonization in the construction sector aligns with Morocco’s national energy strategy, which promotes innovative and carbon-neutral buildings. The objective of the study was to evaluate the performance of an energy-efficient residential building, the TDART house, which integrates active and passive solar systems along with bioclimatic design to achieve a net-positive energy balance in a semi- arid climate. Using EnergyPlus and Dialux Evo software, the house’s energy performance across lighting, heating, cooling, and hygrothermal behavior was evaluated. Key strategies include a cool roof, optimized orientation, and natural ventilation (NV), resulting in significant annual energy savings, with insulation reducing heating and cooling demands by 40.28 % and 29.79 %, respectively. Experimental performance assessments demonstrated excellent hygrothermal comfort, keeping temperature and humidity within optimal ranges for 99 % and 70 % of the time. The energy-efficient LED lighting system provides high-quality interior lighting, with an average level of 450 lux. During the testing period, the building produced 304.45 kWh of solar energy while consuming 180.74 kWh, leading to a net-positive energy balance of 123.7 kWh. Occupant satisfaction analysis confirmed the building’s comfort and performance, reinforcing the study’s reliability. These findings highlight the TDART house’s potential as a practical, scalable solution for energy-efficient housing in North Africa’s hot climates, offering a replicable model for sustainable construction. By showcasing the TDART house as an innovative, net-positive energy prototype, this study supports Morocco’s sustainable housing initiatives and provides valuable insights for promoting green building practices across comparable climates.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1239-1265"},"PeriodicalIF":4.7,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional forecasting of driving forces of CO2 emissions of transportation in Central Europe: An ARIMA-based approach","authors":"Ammar Al-lami ,&nbsp;Ádám Török","doi":"10.1016/j.egyr.2025.01.004","DOIUrl":"10.1016/j.egyr.2025.01.004","url":null,"abstract":"<div><div>This study addresses a critical research gap by analyzing transportation-related CO₂ emissions in Central Europe with a region-specific focus, incorporating diverse economic structures, energy dependencies, and policy challenges. Existing studies often neglect the interplay of regional dynamics and specific drivers of emissions. This research combines the KAYA Identity and Logarithmic Mean Divisia Index (LMDI) models with ARIMA forecasting to uncover the distinct contributions of GDP intensity, population emissions intensity, energy intensity, and carbon emission intensity in five Central European countries: Hungary, the Czech Republic, Poland, Slovakia, and Austria. By integrating historical decomposition with robust time-series forecasting, the study provides novel insights into emissions drivers and long-term trends through 2050.</div><div>The results reveal substantial variation in emissions reduction trajectories. Austria successfully decouples economic growth from emissions, with a projected 7.6 % reduction in GDP-related emissions by 2050, driven by energy efficiency and renewable energy policies. Slovakia and Hungary exhibit moderate progress, while Poland faces significant challenges, including a forecasted 10.2 % increase in energy intensity and stagnation in carbon intensity, underlining the need for urgent policy reforms. ARIMA forecasts also highlight challenges in predicting emissions related to population and energy trends, particularly in Poland, due to high Mean Absolute Percentage Error (MAPE) values.</div><div>This study integrates advanced modeling techniques to provide actionable insights into transportation decarbonization, renewable energy expansion, and energy efficiency. The findings highlight regional disparities, emphasizing tailored policies to achieve EU climate goals. This approach sets a new benchmark by bridging historical trends with future projections in a region-specific context</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1215-1224"},"PeriodicalIF":4.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of collective implementation of carbon border adjustments on the economy and greenhouse gas emissions: A general equilibrium approach","authors":"Jaekyu Lim ,&nbsp;Gyu Hyun Kim","doi":"10.1016/j.egyr.2025.01.005","DOIUrl":"10.1016/j.egyr.2025.01.005","url":null,"abstract":"<div><div>This study explores the impact of carbon border adjustment mechanism (CBAM) on the global economy and greenhouse gas (GHG) emissions. Specifically, it examines the consequences of implementing CBAM collectively among a selected group of Annex I countries. The analysis considers the prerequisite for countries to prioritize the reduction of GHG emissions before adopting CBAM measures. Employing an applied general equilibrium model with GTAP 10 data, the study explores different scenarios to assess potential outcomes of major economies adopting CBAM. The findings demonstrate that a group-oriented CBAM has the capacity to significantly reduce GHG emissions. However, it also reveals substantial negative economic implications for developing countries as they encounter unfavorable terms of trade. In contrast, the impact on developed countries is relatively limited owing to risk diversification within the inner group nations.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1225-1238"},"PeriodicalIF":4.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributed model predictive control strategy for microgrid frequency regulation","authors":"Lakshmi satya nagasri Dangeti,&nbsp;Marimuthu R.","doi":"10.1016/j.egyr.2024.12.071","DOIUrl":"10.1016/j.egyr.2024.12.071","url":null,"abstract":"<div><div>Frequency deviations in microgrids (MGs) often arise due to load fluctuations, posing a challenge for maintaining grid stability. Traditional inverter control does not actively predict future system behavior causing reliability issues. This work resolves this issue by proposing a distributed Model Predictive Control (DMPC) for microgrid frequency regulation. The MG components such as solar photovoltaic system, battery energy storage system (BESS), and voltage source inverter (VSI) modeling are presented. This is followed by modeling and implementation of the proposed DMPC controller. The model is developed in MATLAB/Simulink for validation. The results of MG stability with and without the proposed control scheme are discussed. The proposed model performance is compared with benchmark works, bode plot, and dynamic frequency response analysis. It is found that DMPC-based VSI control optimizes the performance and limits voltage fluctuation. Due to this, during the validation with the base load case, the frequency oscillations are minimal, with a variation of 0.002 Hz around the nominal value. This represents a deviation of less than 0.005%, indicating high precision and stability.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1158-1170"},"PeriodicalIF":4.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decarbonization pathways for Qatar: A sectoral approach for energy transition","authors":"Fadi Al-Noaimi,&nbsp;Tareq Al-Ansari,&nbsp;Yusuf Bicer","doi":"10.1016/j.egyr.2024.12.053","DOIUrl":"10.1016/j.egyr.2024.12.053","url":null,"abstract":"<div><div>Qatar has one of the highest per capita energy consumption worldwide, with heavy reliance on fossil fuels. This study evaluates decarbonization pathways using scenario-based modeling to develop long-term energy transition scenarios for the building, transport and industry sectors. Five scenarios are explored: Business-as-Usual (BAU), Demand Side Management (DSM), District Cooling Upscale (DCU), Electric Vehicle Uptake (EVU), and Industrial Heat Decarbonization (IHD). The BAU scenario represents the “status quo” projection of Qatar’s energy system if no significant changes occur. The DSM scenario cuts GHG emissions in the building sector by a 27%, mainly through energy efficiency. The DCU scenario projects a 25% reduction in emissions by upscaling the district cooling share in the building sector and avoids 7 million tonnes of CO₂ equivalent by 2050. In the Transport sector, the EVU scenario focuses on electric vehicle adoption, avoiding 28% of transport-related emissions. The IHD scenario targets industrial decarbonization through electrification and fuel switching, achieving a 32% and avoiding 12 million tonnes of CO₂ equivalent by 2050.</div><div>The study offers key insights into Qatar’s energy system and outlines sector-specific policy considerations in efforts to achieve Qatar’s current climate targets and design Qatar’s low-emission development strategy. This research serves as a reference for other Gulf Cooperation Council (GCC) countries facing similar energy transition challenges.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1178-1199"},"PeriodicalIF":4.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global trends in electric vehicle adoption and the impact of environmental awareness, user attributes, and barriers","authors":"Yuanzhi Wang ,&nbsp;Frank Witlox","doi":"10.1016/j.egyr.2024.12.054","DOIUrl":"10.1016/j.egyr.2024.12.054","url":null,"abstract":"<div><div>Electric vehicles, powered by one or more electric motors, offer numerous advantages, such as reduced noise pollution, a cleaner environment, and lower operating costs. The selection of electric cars could be influenced by various drivers including environmental awareness, user attributes, barriers, incentives, and user awareness. Accordingly, this paper aimed to explore the impacts of those influential drivers on adopting kinds of electric vehicles by considering spatiotemporal patterns. In this paper, the meta-regression approach was run to combine the findings of 38 primary articles from 1990 to 2023. In this context, the effects of main drivers on adopting electric vehicles were assessed in Battery Electric Vehicles (BEVs), Plug-in Hybrid Electric Vehicles (PHEVs), and Hybrid Electric Vehicles (HEVs). The findings indicate that the main drivers influence the selection of electric cars. The meta-regression results showed that achieving electric vehicle adoption can be globally influenced by environmental awareness (<span><math><mi>β</mi></math></span>= 0.23), user attributes (<span><math><mi>β</mi></math></span>= 0.17), barriers (<span><math><mi>β</mi></math></span>= −0.07), and user awareness (<span><math><mi>β</mi></math></span>= 0.12). The highest spatial effect is related to the adoption of BEVs (<span><math><mi>β</mi></math></span>= 0.17) by European countries. Accordingly, the use of electric cars is recommended, especially in large countries that emit greenhouse gases such as China and India. The expansion of electric vehicles, especially renewable energy, is suggested to reduce fuel imports and reduce vulnerability to fuel price fluctuations, especially in countries dependent on fossil fuels such as Middle Eastern countries. In this context, policymakers are advised to use incentive tools, like free parking and tax exemptions, to accelerate the selection of electric cars in areas with slower uptake.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1125-1137"},"PeriodicalIF":4.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}