Solar Energy Advances最新文献

{"title":"Testing solar cookers for cooking efficiency","authors":"Alan W. Bigelow,&nbsp;Justin Tabatchnick,&nbsp;Caitlyn Hughes","doi":"10.1016/j.seja.2024.100053","DOIUrl":"10.1016/j.seja.2024.100053","url":null,"abstract":"<div><p>Solar Cookers International (SCI) staff developed and implemented a calculation to measure the cooking efficiency of solar thermal cookers. The calculation complements and enhances SCI's existing performance evaluation process (PEP), which can now be used for determining both the standard cooking power and the cooking efficiency for solar thermal cookers. The standard cooking power value is a single measure of solar cooker performance taken when the temperature of the test water load is specifically 50 °C greater than ambient temperature. Cooking efficiency values extend the perspective of solar cooker performance, as they are applicable to a continuum of load temperature measurements made during a heating cycle. Cooking efficiency is the ratio of energy absorbed by the solar cooking load divided by the input solar energy intercepted by the device during a test interval. Examples of cooking efficiency calculations using water loads during three days of testing for an anonymous group of different types of solar cookers are: solar box oven (18.9 %), reflective-panel solar cooker (28.5 %), parabolic reflector (35.2 %), and evacuated-tube solar cooker (34.6 %).</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000032/pdfft?md5=4dba4f71c5d2eba416013d5454e87e75&pid=1-s2.0-S2667113124000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139634489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Categorizing Indian states based on operating condition of photovoltaic system","authors":"Arti Pareek ,&nbsp;Humaid Mohammed Niyaz ,&nbsp;Manish Kumar ,&nbsp;Rajesh Gupta","doi":"10.1016/j.seja.2024.100052","DOIUrl":"https://doi.org/10.1016/j.seja.2024.100052","url":null,"abstract":"<div><p>Electricity generation of a photovoltaic (PV) module is primarily affected by local weather conditions, which vary significantly across vast geographic areas. This work introduces an approach to categorize Indian states based on outdoor operating conditions of PV modules that influence performance and reliability. Module temperature and irradiance are the two most important parameters which affect PV performance. Relative humidity (RH), module temperature, and global horizontal irradiance (GHI) are the three most important parameters that affect PV reliability. In this work, the PV module's most frequent operating condition (MFOC) of temperature and irradiance corresponding to maximum energy production has been analyzed for dominant PV technology (multi-crystalline silicon). Data from various sites across India were analyzed and subsequently grouped by state as PV installation decisions are generally based on state-level factors, such as state business policies, incentives, availability of local human resources, state power policies, etc. The MFOC method used in this work was supported by experimental results. Based on estimated states' MFOC, PV module output power has been obtained and compared with its rated power. Further in this work, major stressors affecting PV modules namely average RH, module temperature, and total annual GHI have been analyzed for different Indian states. Based on these specific stressors, states with similar stressor patterns have been grouped by the k-means clustering method. Results of MFOC estimation show potential for additional standardization methods to estimate PV system performance accurately. Statistical analysis of stressors highlights the importance of selecting PV technology modules carefully.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000020/pdfft?md5=893fb049e3d8cb8e774eca62597837e1&pid=1-s2.0-S2667113124000020-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139419340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the performance and operation of a photovoltaic-battery heat pump system based on field measurement data","authors":"Shubham Baraskar ,&nbsp;Danny Günther ,&nbsp;Jeannette Wapler ,&nbsp;Manuel Lämmle","doi":"10.1016/j.seja.2023.100047","DOIUrl":"https://doi.org/10.1016/j.seja.2023.100047","url":null,"abstract":"<div><p>Photovoltaic-heat pump (PV-HP) combinations with battery and energy management systems are becoming increasingly popular due to their ability to increase the autarchy and utilization of self-generated PV electricity. This trend is driven by the ongoing electrification of the heating sector and the growing disparity between growing electricity costs and reducing feed-in tariffs in Germany. Smart control strategies can be employed to control and optimize the heat pump operation to achieve higher self-consumption of PV electricity. This work presents the evaluation results of a smart-grid ready controlled PV-HP-battery system in a single-family household in Germany, using 1-minute-high-resolution field measurement data. Within 12 months evaluation period, a self-consumption of 43 % was determined. The solar fraction of the HP amounts to 36 %, enabled also due to higher set temperatures for space heating and domestic hot water production. Accordingly, the SPF decreases by 4.0 % the space heating and by 5.7 % in the domestic hot water mode. The combined seasonal performance factor for the heat pump system increases from 4.2 to 6.7, when only considering the electricity taken from the grid and disregarding the locally generated electricity supplied from photovoltaic and battery units.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113123000153/pdfft?md5=6931ba6b3cdc969d9d1bfab7e54342a5&pid=1-s2.0-S2667113123000153-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139107383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the efficiency of a PEM electrolyzer fed by a PV plant in NEOM City","authors":"Alberto Boretti","doi":"10.1016/j.seja.2024.100072","DOIUrl":"10.1016/j.seja.2024.100072","url":null,"abstract":"<div><div>The NEOM City microgrid, designed to be free from fossil fuels generation, is proposed to feature energy supply by wind, solar photovoltaic (PV), concentrated solar power (CSP) with internal thermal energy storage (iTES), and nuclear, plus energy storage by battery (BES), hydrogen (HES) and external thermal energy storage (eTES). The operation of a 100 MW PEM electrolyzer cell (EC) feed with a 100 MW solar PV plant, which is part of the HES, is then analyzed. Based on operational data of old plants, the average annual efficiency of the PEM EC plant is assessed at 0.653, close to the rated power efficiency of 0.676, and higher than the maximum power efficiency of 0.604. Given the continuous improvements in PEM electrolyzers, a novel plant is expected to deliver an efficiency of at least 0.1 more, at a 0.753 annual average. The manuscript also demonstrates the extensive variability of solar energy from daily to annual timescales and its impact on the fluctuating electricity input to electrolyzers, affecting hydrogen production. It emphasizes the importance of choosing suitable electrolyzers and integrating short-term energy storage to stabilize the power supply, and it innovatively examines green hydrogen production variability across multiple time scales.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100072"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing calibrated analog and dynamical ensemble solar forecasts","authors":"Dazhi Yang ,&nbsp;Yu Kong ,&nbsp;Bai Liu ,&nbsp;Jingnan Wang ,&nbsp;Di Sun ,&nbsp;Guoming Yang ,&nbsp;Wenting Wang","doi":"10.1016/j.seja.2023.100048","DOIUrl":"10.1016/j.seja.2023.100048","url":null,"abstract":"<div><p>Ensemble modeling is a chief strategy for probabilistic forecasting. In weather forecasting, analog ensemble, which operates under the principle that weather patterns often repeat, and dynamical ensemble, which generates equally likely trajectories of future weather by perturbing the initial and boundary conditions, constitute the two most common approaches to making ensembles. That said, in the field of solar forecasting, nor is there any head-to-head comparison made thus far in regard to understanding the relative performance of these two competing approaches; this work seeks to fill the gap. Four years (2017–2020) of operational forecasts, at seven locations, from the European Centre for Medium-Range Weather Forecasts (ECMWF) are used, and both the raw and post-processed versions of the ensemble irradiance forecasts are verified in a fair and thorough fashion. Three classical post-processing methods, namely, Bayesian model averaging, nonhomogeneous Gaussian regression, and quantile regression, are applied to both the analog ensemble forecasts derived from ECMWF’s high-resolution control forecasts and dynamical ensemble forecasts from ECMWF’s Ensemble Prediction System. It is found that analog ensemble before post-processing possesses some advantage in terms of calibration over dynamical ensemble; their average reliability values are 0.6 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> and 8.2 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, respectively. However, dynamical ensemble after post-processing becomes generally more attractive, obtaining an average continuous ranked probability score of 49.0 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, against 51.7 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> for AnEn.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113123000165/pdfft?md5=4d76f0d88d08df2bebbdfe0801415b99&pid=1-s2.0-S2667113123000165-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138988759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance improvement of hybrid photovoltaic/thermal systems: A metaheuristic artificial intelligence approach to select the best model using 10E analysis","authors":"Armel Zambou Kenfack ,&nbsp;Modeste Kameni Nematchoua ,&nbsp;Elie Simo ,&nbsp;Venant Sorel Chara-Dackou ,&nbsp;Boris Abeli Pekarou Pemi","doi":"10.1016/j.seja.2024.100061","DOIUrl":"10.1016/j.seja.2024.100061","url":null,"abstract":"<div><p>Photovoltaic/thermal (PV/T) hybrid systems have until now encountered a real problem of sustainability-energy-cost concordance. Faced with this situation, new types of designs are in full expansion aimed at filling the limits of some. This therefore involves a very appropriate decision-making process. The energy, exergy, economic, environmental, energo-environmental, exergo-environmental, enviro-economic, energy-enviro-economic, exergo-enviro-economic and ergonomic analysis is carried out on seven PV/T configurations and therefore the simplified models are presented for a better interpretation of the mechanisms from different perspectives and the integration of a selection algorithm. Thus, an optimal selection methodology using the hybridization of genetic algorithms and multi-objective optimization by particle swarms based on ten performance indicators is proposed. The results obtained with good convergence and precision allow us to observe that the Air PV/T model is better. However, the study shows good viability of PV/T models with a cost of energy and a return on investment time all lower than 0.1$/kWh and 3 years, respectively. Models with phase change materials (PCM) minimize thermal losses better than those with air, nanofluids or thermoelectric generator (TEG). The bifacial model stands out with a good energy-environmental balance compared to the water model which has a better durability index greater than 2.0 and a good ergonomic factor.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000111/pdfft?md5=854969f2ac23d5eb3027d785ae1f1222&pid=1-s2.0-S2667113124000111-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141402160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adhesive materials in solar-thermal collectors: Results of seven years field exposure and accelerated aging tests used to simulate 25 years of operation","authors":"Thomas Kaltenbach,&nbsp;Markus Heck,&nbsp;Werner Platzer","doi":"10.1016/j.seja.2024.100062","DOIUrl":"https://doi.org/10.1016/j.seja.2024.100062","url":null,"abstract":"<div><p>The adhesive joint takes over multiple functions in the solar thermal collector, such as the structural bonding, the absorption of thermal stress of the transparent cover to the collector housing, and the sealing of the collector with respect to humidity, air and particle entry. Thus, it is a central component in a solar thermal collector.</p><p>The aging effects occurring in solar collectors within the adhesive material are by now not well understood. They are determined primarily by the temperature level in the collector. This temperature level has significantly increased during the last years due to the enhancement of the collector efficiency and the trend towards solar thermal systems with higher solar fractions resulting in an increase in stagnation time and temperature. Furthermore, durability analyses of novel market products are needed, since only little is known about their long-term behavior.</p><p>The accelerated aging tests described in this article represent the measured load in the solar collector at the component adhesive joint to a calculated corresponding period of 25 years.</p><p>We found that all test specimens showed a 100 % cohesive fracture pattern after these stress tests. Thus, the adhesion between the transparent cover and the collector housing can be assumed to be ensured using the framework with the load depicted in the defined test cycle over 25 years. Compared to the reference value before aging, the tensile strength values change only marginally after being degraded.</p><p>The results of the mechanical properties of the small test specimens before and after seven years of exposure in maritime climate were determined and compiled. A nondestructive characterization method at the test specimens with Raman spectroscopy accompanied before the mechanical tensile testing was done.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000123/pdfft?md5=2fed4fa3d2675c14a966d4a5acda665f&pid=1-s2.0-S2667113124000123-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recursive copula-augmented space-correlated temporal very-short term spatiotemporal probabilistic forecasting of the clear-sky index","authors":"Joakim Munkhammar","doi":"10.1016/j.seja.2024.100063","DOIUrl":"10.1016/j.seja.2024.100063","url":null,"abstract":"<div><p>This study introduces a recursive model framework for augmenting separate temporal probabilistic forecasts of multiple correlated time-series with a copula correlation model. The model is applied to the Markov-chain mixture distribution (MCM) model to spatiotemporally forecast minute resolution normalized solar irradiance, c.f. the clear-sky index, derived from radiometer array measurements of Global Horizontal Irradiance (GHI) for 18 geographically adjacent stations at Oahu, Hawaii, USA. The results are evaluated by univariate and multivariate probabilistic forecast metrics in comparison with forecasts from purely temporal MCM, Climatology and the spatiotemporal Multivariate Persistence Ensemble (MuPEn) benchmark. Results show that the Climatology and the MuPEn forecasts are most reliable, while superiority in sharpness, based on Prediction Interval Normalized Average Width (PINAW), depends on forecast horizon. In terms of accuracy, measured with the univariate measure Continuous Ranked Probability Score (CRPS), the MCM model (with and without copula) forecasts are most accurate for the first two steps ahead forecasts, while the Climatology and MuPEn both have superior score for longer horizons. In terms of multivariate scores, the accuracy estimate Energy Score results for the forecasts are similar to the CRPS, while the Variogram Score, which takes into consideration the correlational structure of the multivariate time-series, is significantly improved by the copula-augmented MCM model compared to the univariate MCM model. The MuPEn model generated the lowest Variogram Score among all models. Tests with fewer stations and swapped training and test data gave similar model-to-model relative dynamics with variations in magnitude.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000135/pdfft?md5=de6d960d68468365c472126739d107d3&pid=1-s2.0-S2667113124000135-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141710966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining expansion turbines, heat pumps, and low-temperature solar heat for enhanced primary energy savings in gas pressure regulating stations","authors":"Y. Louvet ,&nbsp;S. Ahlgrimm ,&nbsp;F. Pag ,&nbsp;K. Vajen","doi":"10.1016/j.seja.2024.100075","DOIUrl":"10.1016/j.seja.2024.100075","url":null,"abstract":"<div><div>According to previous studies, gas pressure regulating and metering stations (GPRMS) in Germany account for a primary energy consumption between 1.4 and 2.0 TWh/a for the preheating of natural gas flowing through. This work assesses the potential of reducing this consumption through the combined use of expansion turbines, heat pumps, and solar thermal collectors. For this purpose, operation data of 57 GPRMS of a German gas network operator are used to design systems combining in different scenarios two and three of these technologies in each GPRMS. Using an in-house model developed in Python the 57 systems are simulated over one year with an hourly time step. The results show a potential for the installation of expansion turbines with a total capacity of 3.57 MW_el, leading, combined with the renewable heating technologies, to a reduction of more than 99 % of the original gas consumption for gas preheating. The results are then extrapolated to the whole country using scaling factors, showing a potential for feeding-in between 510 and 1,140 GWh/a of surplus electricity into the grid, on top of the almost complete elimination of the gas consumption for gas preheating. In total, the use of the complete technical potential available would lead to net primary energy savings between 1,710 and 3,650 GWh/a and net CO₂ emissions reductions between 470 and 1,010 kt/a. Overall, this work demonstrates that the combination of expansion turbines and heat pumps technically allows an almost complete decarbonation of the operation of GPRMS in Germany. In addition, significant amounts of electricity could be fed into the grid, especially during the winter months, which would contribute to decarbonise the electricity mix of the country. The amount of electricity fed into the grid can be increased with the additional use of low-temperature solar thermal systems. To exploit this potential in the future, current regulations should be adapted and targeted support programmes launched.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comfort in cold: A novel approach to sustainable building energy efficiency","authors":"Kedar Mehta,&nbsp;Wilfried Zörner","doi":"10.1016/j.seja.2024.100055","DOIUrl":"https://doi.org/10.1016/j.seja.2024.100055","url":null,"abstract":"<div><p>Kyrgyzstan's high-altitude rural housing sector consumes 3–5 times more energy than European buildings due to ageing infrastructure, lack of insulation, and reliance on non-sustainable resources. One potential solution is the implementation of thermal insulation. However, due to limited public awareness of energy efficiency, inadequate government policies, insufficient technology, and challenging geography, people in rural areas rely on non-sustainable resources such as coal, cow dung, and firewood for heating, which creates a negative impact on the local ecosystems. To close the energy efficiency gap, the paper proposes a sustainable and holistic approach that integrates thermal insulation with effective energy efficiency planning using a staged-renovation approach by utilising locally available insulation materials / resources. The feasibility study presented in the paper was conducted with a simulation-based parametric study to recognise the potential of novel and sustainable insulation structures on building heat demand. This innovative approach can potentially reduce heat demand in high-altitude houses by as much as 70 %, offering a transformative solution. Furthermore, its adaptability makes it transferable to similar high-altitude communities, thus advancing sustainable energy practices for climate change mitigation and contributing to broader sustainable development goals.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000056/pdfft?md5=42280564183359970c60a2d2708ce0ff&pid=1-s2.0-S2667113124000056-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139738751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}