Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191208
Ahmad Alzahrani, P. Shamsi, M. Ferdowsi, C. Dagli
Electric power grids and complex computer systems have many similar properties of the operation behavior and the structure. A microgrid can be treated as a small electric grid that contains consisted of numerous residential loads, energy storage units, and distributed energy. The goal of implementing microgrids is to supply power to homes even in the event of an electric grid outage. That is, the stored energy in the storage unit and distributed generation will supply energy to the load until the main grid return to the normal operation, and therefore, supply power to the load and store energy back to the storage unit. This method allows decentralization of the electric grid regarding control and energy supply. To deal with decentralized systems, one needs to construe the electric grid as a system of systems (SoS), and use models that can capture the dynamics of the microgrid. This paper presents a model of microgrid using feedforward neural networks. This model can be utilized in complex system modeling techniques such as agent-based approaches and system dynamics, or a combination of various methods to represent different electric elements. An example of modeling real microgrid is presented to demonstrate the emergent characteristics of the interconnected system. Simulation results and waveforms are discussed.
{"title":"Modeling and simulation of a microgrid using feedforward neural networks","authors":"Ahmad Alzahrani, P. Shamsi, M. Ferdowsi, C. Dagli","doi":"10.1109/ICRERA.2017.8191208","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191208","url":null,"abstract":"Electric power grids and complex computer systems have many similar properties of the operation behavior and the structure. A microgrid can be treated as a small electric grid that contains consisted of numerous residential loads, energy storage units, and distributed energy. The goal of implementing microgrids is to supply power to homes even in the event of an electric grid outage. That is, the stored energy in the storage unit and distributed generation will supply energy to the load until the main grid return to the normal operation, and therefore, supply power to the load and store energy back to the storage unit. This method allows decentralization of the electric grid regarding control and energy supply. To deal with decentralized systems, one needs to construe the electric grid as a system of systems (SoS), and use models that can capture the dynamics of the microgrid. This paper presents a model of microgrid using feedforward neural networks. This model can be utilized in complex system modeling techniques such as agent-based approaches and system dynamics, or a combination of various methods to represent different electric elements. An example of modeling real microgrid is presented to demonstrate the emergent characteristics of the interconnected system. Simulation results and waveforms are discussed.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"29 1","pages":"1001-1006"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89311355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191093
L. F. N. Lourenço, M. B. de Camargo Salles, M. Gemignani, M. R. Gouvêa, N. Kagan
In this work we used time series modelling for generating synthetic sets of hourly solar irradiance for the city of Petrolina located in the northeastern region of Brazil. The models were obtained for each month and were based on 20 years of satellite data. For each month, four time series structures were investigated: auto regressive, auto regressive integrated, auto regressive moving average and auto regressive integrated moving average. We compare the 48 obtained models by comparing the the mean of the synthetic series with the data set means. Another comparison made to validate the time series model was the square error between the data histogram and the synthetic series histogram. Results show that the different model structures generate the best fitting synthetic data for the studied city. This work describes the process of pre-filtering of the data for finally obtaining the monthly models. It also presents the generated synthetic series for hourly solar irradiation. The process described in this work might be used in the planning phase of a solar farm by generating stochastic data for solar irradiance estimation.
{"title":"Time Series modelling for solar irradiance estimation in northeast Brazil","authors":"L. F. N. Lourenço, M. B. de Camargo Salles, M. Gemignani, M. R. Gouvêa, N. Kagan","doi":"10.1109/ICRERA.2017.8191093","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191093","url":null,"abstract":"In this work we used time series modelling for generating synthetic sets of hourly solar irradiance for the city of Petrolina located in the northeastern region of Brazil. The models were obtained for each month and were based on 20 years of satellite data. For each month, four time series structures were investigated: auto regressive, auto regressive integrated, auto regressive moving average and auto regressive integrated moving average. We compare the 48 obtained models by comparing the the mean of the synthetic series with the data set means. Another comparison made to validate the time series model was the square error between the data histogram and the synthetic series histogram. Results show that the different model structures generate the best fitting synthetic data for the studied city. This work describes the process of pre-filtering of the data for finally obtaining the monthly models. It also presents the generated synthetic series for hourly solar irradiation. The process described in this work might be used in the planning phase of a solar farm by generating stochastic data for solar irradiance estimation.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"53 1","pages":"401-405"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89347046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191228
I. Sefa, H. Komurcugil, S. Demirbas, N. Altin, S. Ozdemir
In this study, a three-phase four switch inverter topology is proposed for PV systems. In power stage, a three-level neutral point clamped inverter is adopted. Thus, advantageous of the multilevel inverter topologies have been obtained with reduced number of switches. The proportional-resonant controller is designed to control the output voltage of the inverter to maintain a sinusoidal output voltage with lower total harmonic distortion and less variation even for various type of loads. MATLAB/Simulink simulations results show that, both proposed three-phase three-level neutral point clamped four-switch inverter and proportional resonant controller provides fast response and sinusoidal output voltage with lower total harmonic distortion with reduced number of switch.
{"title":"Three-phase three-level inverter with reduced number of switches for stand-alone PV systems","authors":"I. Sefa, H. Komurcugil, S. Demirbas, N. Altin, S. Ozdemir","doi":"10.1109/ICRERA.2017.8191228","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191228","url":null,"abstract":"In this study, a three-phase four switch inverter topology is proposed for PV systems. In power stage, a three-level neutral point clamped inverter is adopted. Thus, advantageous of the multilevel inverter topologies have been obtained with reduced number of switches. The proportional-resonant controller is designed to control the output voltage of the inverter to maintain a sinusoidal output voltage with lower total harmonic distortion and less variation even for various type of loads. MATLAB/Simulink simulations results show that, both proposed three-phase three-level neutral point clamped four-switch inverter and proportional resonant controller provides fast response and sinusoidal output voltage with lower total harmonic distortion with reduced number of switch.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"30 1","pages":"1119-1124"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89956753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191247
Atieh Kashani, Y. Ozturk
This paper aims to present an integrated platform to explore the role of society, culture, and behavior in energy efficiency uptake, and identify specific marketing techniques that may result in user behavior modification. We developed a consumer behavior modification framework which monitors consumer energy usage through the SDG&E Green Button API and make recommendations to the consumer. Behavior change is enforced through energy pricing and showing the impact of the individual consumer's CO2 emissions when using energy at peak hours versus at non-peak hours. The focus is to improve the homeowner's “know” and “care”, aiming to influence actions through transformation of moral in addition to monetary savings. Following an engineering and economics model the system provides the tools for research in social variability, as well as the social and cultural context that shapes our habits and practices in energy consumption.
{"title":"Residential energy consumer behavior modification via gamification","authors":"Atieh Kashani, Y. Ozturk","doi":"10.1109/ICRERA.2017.8191247","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191247","url":null,"abstract":"This paper aims to present an integrated platform to explore the role of society, culture, and behavior in energy efficiency uptake, and identify specific marketing techniques that may result in user behavior modification. We developed a consumer behavior modification framework which monitors consumer energy usage through the SDG&E Green Button API and make recommendations to the consumer. Behavior change is enforced through energy pricing and showing the impact of the individual consumer's CO2 emissions when using energy at peak hours versus at non-peak hours. The focus is to improve the homeowner's “know” and “care”, aiming to influence actions through transformation of moral in addition to monetary savings. Following an engineering and economics model the system provides the tools for research in social variability, as well as the social and cultural context that shapes our habits and practices in energy consumption.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"91 1","pages":"1221-1225"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81941918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191160
G. Brando, A. Dannier, L. D. di Noia, G. Caiafa
This paper is focused on the design of Axial Flux Permanent Machine (AFPM) tailored for low-speed high-torque applications. In particular, the design procedure is developed starting from a tooth concentrated winding topology; given its high reliability, this is an optimal solution in the context of electric torsional damping applications, where high torque values and good dynamic performance are required. Based on this winding solution, a sizing flow diagram is formulated in order to define the geometric/magnetic/electric parameters of the AFPM. This design approach is validated by an accurate FEM analysis. The sizing results positively validate the proposed method by leading to a designed AFPM characterized by satisfying power density.
{"title":"Axial flux permanent machine design for low speed high torque application","authors":"G. Brando, A. Dannier, L. D. di Noia, G. Caiafa","doi":"10.1109/ICRERA.2017.8191160","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191160","url":null,"abstract":"This paper is focused on the design of Axial Flux Permanent Machine (AFPM) tailored for low-speed high-torque applications. In particular, the design procedure is developed starting from a tooth concentrated winding topology; given its high reliability, this is an optimal solution in the context of electric torsional damping applications, where high torque values and good dynamic performance are required. Based on this winding solution, a sizing flow diagram is formulated in order to define the geometric/magnetic/electric parameters of the AFPM. This design approach is validated by an accurate FEM analysis. The sizing results positively validate the proposed method by leading to a designed AFPM characterized by satisfying power density.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"12 1","pages":"751-756"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79065680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191161
Linss T. Alex, V. Jaikrishna, S. S. Dash, R. Sridhar
The ease of expansion of power system and lowered cost made the use of modular converters in Renewable Energy System more common. Different configurations are implemented depending on the applications. Control strategies like fuzzy logic, droop method and charge control scheme are developed for achieving sharing of current and voltages among the converters. In this paper new modularization architecture is proposed with two different converters i.e., Push-pull and Flyback converters. This architecture has the full benefit of modularization through the sharing of current and voltage. Simulation analysis and experimental prototypes are built and tested to ratify the sharing of input and output current and voltages of proposed architecture.
{"title":"Design and analysis of Push-pull-Flyback interleaved converters for photovoltaic system","authors":"Linss T. Alex, V. Jaikrishna, S. S. Dash, R. Sridhar","doi":"10.1109/ICRERA.2017.8191161","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191161","url":null,"abstract":"The ease of expansion of power system and lowered cost made the use of modular converters in Renewable Energy System more common. Different configurations are implemented depending on the applications. Control strategies like fuzzy logic, droop method and charge control scheme are developed for achieving sharing of current and voltages among the converters. In this paper new modularization architecture is proposed with two different converters i.e., Push-pull and Flyback converters. This architecture has the full benefit of modularization through the sharing of current and voltage. Simulation analysis and experimental prototypes are built and tested to ratify the sharing of input and output current and voltages of proposed architecture.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"32 1","pages":"757-761"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79113899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191194
Masaharu Tanaka, H. Eto, Yuji Mizuno, N. Matsui, F. Kurokawa
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered to be a difficult problem. In the proposal, we show a method to efficiently perform the simultaneous optimization of configuration and operation by dual gene coding. The effectiveness of the proposed method is examined by a case study using actual data in a hospital.
{"title":"Genetic algorithm based optimization for configuration and operation of emergency generators in medical facility","authors":"Masaharu Tanaka, H. Eto, Yuji Mizuno, N. Matsui, F. Kurokawa","doi":"10.1109/ICRERA.2017.8191194","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191194","url":null,"abstract":"In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered to be a difficult problem. In the proposal, we show a method to efficiently perform the simultaneous optimization of configuration and operation by dual gene coding. The effectiveness of the proposed method is examined by a case study using actual data in a hospital.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"9 1","pages":"919-924"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75404113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191268
M. Brenna, A. Dolara, S. Leva, M. Longo, D. Zaninelli
In the face of energy crisis and environmental pollution problems, all the countries in the world vigorously promote the development of electric vehicles. Electric vehicle charging infrastructure is the necessary infrastructure to the development of electric vehicles. This work has been focused on Electric Vehicles' Charging Stations (CSs) deployment. It has been considered in this study several constraints (opening cost, distance between charging stations and clients, the, etc.). It has been proposed a mathematical formulation of the problem. Then, it has been solved it using an optimized genetic algorithm with an objective of calculating the necessary number of charging stations and the best position to locate them in order to satisfy the demand. Different situations are considered. The algorithm will be applied to the city of Milan as a case study.
{"title":"Optimal playing of electric vehicle charging stations","authors":"M. Brenna, A. Dolara, S. Leva, M. Longo, D. Zaninelli","doi":"10.1109/ICRERA.2017.8191268","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191268","url":null,"abstract":"In the face of energy crisis and environmental pollution problems, all the countries in the world vigorously promote the development of electric vehicles. Electric vehicle charging infrastructure is the necessary infrastructure to the development of electric vehicles. This work has been focused on Electric Vehicles' Charging Stations (CSs) deployment. It has been considered in this study several constraints (opening cost, distance between charging stations and clients, the, etc.). It has been proposed a mathematical formulation of the problem. Then, it has been solved it using an optimized genetic algorithm with an objective of calculating the necessary number of charging stations and the best position to locate them in order to satisfy the demand. Different situations are considered. The algorithm will be applied to the city of Milan as a case study.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"180 1","pages":"210-215"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80129629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191154
M. Alharbi, A. Pise, Huang Haibing, I. Batarseh
With the demand increase for electricity, the ever-increasing awareness of environmental issues, coupled with rolling blackouts, the role of renewable energy generation will become even more significant. Instead of the traditional high-power energy storage and management system at the utility scale to implement PV firming, this paper proposes a new PV (panel-level) firming control algorithm using grid-tie three-port bidirectional converter. The topology with the control algorithm and PV intermittency data collected in real time are discussed and analyzed in MATLAB/SIMULINK. The experimental results verify the proposed PV firming algorithm.
{"title":"A new algorithm for PV firming using three-port micro-converter","authors":"M. Alharbi, A. Pise, Huang Haibing, I. Batarseh","doi":"10.1109/ICRERA.2017.8191154","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191154","url":null,"abstract":"With the demand increase for electricity, the ever-increasing awareness of environmental issues, coupled with rolling blackouts, the role of renewable energy generation will become even more significant. Instead of the traditional high-power energy storage and management system at the utility scale to implement PV firming, this paper proposes a new PV (panel-level) firming control algorithm using grid-tie three-port bidirectional converter. The topology with the control algorithm and PV intermittency data collected in real time are discussed and analyzed in MATLAB/SIMULINK. The experimental results verify the proposed PV firming algorithm.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"27 1","pages":"719-722"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80236629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191080
Fahad M. Alhuwaishel, N. Ahmed, P. Enjeti
In this paper a new electric power structure for solar powered unmanned aircraft system is proposed. The presented topology is a prospective improvement to both Solong and Zyphyr models. The proposed UAS model utilized Zyphry UAS by using ac bus-line instead of dc bus-line to supply the propellers. The system involves PV array, lithium sulfur based energy management system, dc bus-line, inverter, active output filter (AOF) and ac bus-line. AOF topology is utilized to reduce the power conversion system size. The system is investigated under nonlinear load condition with closed-loop control strategy. Active compensation resistance technique control is deployed to ensure high quality sinusoidal line voltages. It introduces an emulated resistance in series with H-bridges stage, this active resistance will create an injected voltage across it to damp unwanted harmonics created from the nonlinear load. The obtained simulation results of voltage and current waveforms prove the feasibility and the accuracy of the proposed system.
{"title":"Active output filter under nonlinear load condition for solar powered unmanned aircraft system","authors":"Fahad M. Alhuwaishel, N. Ahmed, P. Enjeti","doi":"10.1109/ICRERA.2017.8191080","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191080","url":null,"abstract":"In this paper a new electric power structure for solar powered unmanned aircraft system is proposed. The presented topology is a prospective improvement to both Solong and Zyphyr models. The proposed UAS model utilized Zyphry UAS by using ac bus-line instead of dc bus-line to supply the propellers. The system involves PV array, lithium sulfur based energy management system, dc bus-line, inverter, active output filter (AOF) and ac bus-line. AOF topology is utilized to reduce the power conversion system size. The system is investigated under nonlinear load condition with closed-loop control strategy. Active compensation resistance technique control is deployed to ensure high quality sinusoidal line voltages. It introduces an emulated resistance in series with H-bridges stage, this active resistance will create an injected voltage across it to damp unwanted harmonics created from the nonlinear load. The obtained simulation results of voltage and current waveforms prove the feasibility and the accuracy of the proposed system.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"105 1","pages":"327-330"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73142894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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