Pub Date : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314325
K. Anderson, Maryam Shafahi, R. B. Lakeh, Sean Monemi, Christopher McNamara
The goal of this research is to use Computational Fluid Dynamics (CFD) to numerically investigate the heat transfer associated with the waste heat released from using compost to assist the flow in a solar chimney. The novelty of the current research is the hybrid aspect of using a solar chimney in conjunction with compost waste heat to enhance the performance of the solar chimney. Additionally, the hybrid device will use photovoltaics stored on the roof of the solar chimney to generate electricity. Many CFD studies are available in the literature regarding the optimization of the solar chimney, which indicate that the power generation of the chimney is directly proportional to the height of the chimney, as well as the diameter of the base of the chimney. The new contribution of our present research will be in using CFD to quantify and match empirical data for the release of heat from a composting pile, which is the key piece of technology in converting the composting waste heat into usable renewable energy. Preliminary feasibility studies have been performed by the authors indicate the hybrid solar chimney concept to be viable, i.e. a 300 m tall tower will generate approximately 40 kW, which is in qualitative and quantitative agreement with other archived published studies.
{"title":"CFD study of compost waste heat for use in a hybrid solar tower","authors":"K. Anderson, Maryam Shafahi, R. B. Lakeh, Sean Monemi, Christopher McNamara","doi":"10.1109/SUSTECH.2015.7314325","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314325","url":null,"abstract":"The goal of this research is to use Computational Fluid Dynamics (CFD) to numerically investigate the heat transfer associated with the waste heat released from using compost to assist the flow in a solar chimney. The novelty of the current research is the hybrid aspect of using a solar chimney in conjunction with compost waste heat to enhance the performance of the solar chimney. Additionally, the hybrid device will use photovoltaics stored on the roof of the solar chimney to generate electricity. Many CFD studies are available in the literature regarding the optimization of the solar chimney, which indicate that the power generation of the chimney is directly proportional to the height of the chimney, as well as the diameter of the base of the chimney. The new contribution of our present research will be in using CFD to quantify and match empirical data for the release of heat from a composting pile, which is the key piece of technology in converting the composting waste heat into usable renewable energy. Preliminary feasibility studies have been performed by the authors indicate the hybrid solar chimney concept to be viable, i.e. a 300 m tall tower will generate approximately 40 kW, which is in qualitative and quantitative agreement with other archived published studies.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126690813","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314331
N. Khansari, M. Mansouri, A. Mostashari
Population growth and continued trends of over-consumption and overpollution represent significant threats to the environment, which necessitate a move towards more sustainable approaches. Moving towards sustainability requires individuals' energy behavior change. Accordingly, this paper focuses on individuals' energy behavior in three levels: human-institutional, physical, and data levels. We investigate the role of information of smart systems on the energy behavioral change and present two integrated conceptual frameworks to increase the effective capacity of energy systems, facilitate energy consumption problem solving, and improve personal, social, and technical capabilities regarding energy consumption.
{"title":"The conceptual models of energy behavior and energy behavioral change","authors":"N. Khansari, M. Mansouri, A. Mostashari","doi":"10.1109/SUSTECH.2015.7314331","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314331","url":null,"abstract":"Population growth and continued trends of over-consumption and overpollution represent significant threats to the environment, which necessitate a move towards more sustainable approaches. Moving towards sustainability requires individuals' energy behavior change. Accordingly, this paper focuses on individuals' energy behavior in three levels: human-institutional, physical, and data levels. We investigate the role of information of smart systems on the energy behavioral change and present two integrated conceptual frameworks to increase the effective capacity of energy systems, facilitate energy consumption problem solving, and improve personal, social, and technical capabilities regarding energy consumption.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114746043","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314323
Kai Wang, Aidong Xu, Jing Tian, M. Pecht
Remanufacturing can effectively help reduce the environmental burden considering that it reduces both the natural resources needed and the waste produced. Currently, remanufacturing has been widely applied in the process instrumentation industry. Considering that the instrumentation makes up the brain of a process operation, how to remanufacture instrumentation plays a decisive role in the safety and economy of a plant. However, challenges such as what is the best time to performing remanufacturing and what components should be replaced, are still not being addressed because the remanufacturing decision-making method is missing. Therefore, a prognostics and health management (PHM)-based method is proposed for instrumentation system remanufacturing in this paper. First, different categories of components are identified for in-situ monitoring using failure modes, mechanisms, and effects analysis (FMMEA). Then, a system-level performance index (PI) for each component is calculated based on the PHM techniques. Finally, the component health index for each component is achieved based on the corresponding system-level PI by an application-specific mapping model. The remaining useful life of the instrumentation can be optimally used, and thus the cost of remanufacturing can be minimized by using the method proposed.
{"title":"A prognostics and health management method for instrumentation system remanufacturing","authors":"Kai Wang, Aidong Xu, Jing Tian, M. Pecht","doi":"10.1109/SUSTECH.2015.7314323","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314323","url":null,"abstract":"Remanufacturing can effectively help reduce the environmental burden considering that it reduces both the natural resources needed and the waste produced. Currently, remanufacturing has been widely applied in the process instrumentation industry. Considering that the instrumentation makes up the brain of a process operation, how to remanufacture instrumentation plays a decisive role in the safety and economy of a plant. However, challenges such as what is the best time to performing remanufacturing and what components should be replaced, are still not being addressed because the remanufacturing decision-making method is missing. Therefore, a prognostics and health management (PHM)-based method is proposed for instrumentation system remanufacturing in this paper. First, different categories of components are identified for in-situ monitoring using failure modes, mechanisms, and effects analysis (FMMEA). Then, a system-level performance index (PI) for each component is calculated based on the PHM techniques. Finally, the component health index for each component is achieved based on the corresponding system-level PI by an application-specific mapping model. The remaining useful life of the instrumentation can be optimally used, and thus the cost of remanufacturing can be minimized by using the method proposed.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131993484","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314316
M. Starrett, Ratanak So, T. Brekken, A. Mccall
This study presents an advanced control scheme capable of significantly increasing power production from wave energy conversion (WEC) systems. This control scheme uses a reactive power approach built upon a Model Predictive Control (MPC) framework and is capable of optimizing power capture while also respecting machine constraints (e.g. velocity, maximum force, etc.). The controller can also take into account body-to-body interactions to improve accuracy and maximize power across a system of devices. The result is a robust controller which requires only position and velocity as exogenous inputs. All other signals, including excitation force from the sea, are either estimated or predicted within the controller. It is applicable to any WEC (or array thereof) equipped with a power take off (PTO) which can deliver power - as opposed to absorbing alone - and it can be applied both in simulation and hardware. Results from this study show that improvements in average power capture of up to 500% vs. fixed passive damping are possible without exceeding reasonable machine constraints. These results were obtained in simulation using an array of five point absorber WECs in a realistic sea state.
{"title":"Increasing power capture from multibody wave energy conversion systems using model predictive control","authors":"M. Starrett, Ratanak So, T. Brekken, A. Mccall","doi":"10.1109/SUSTECH.2015.7314316","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314316","url":null,"abstract":"This study presents an advanced control scheme capable of significantly increasing power production from wave energy conversion (WEC) systems. This control scheme uses a reactive power approach built upon a Model Predictive Control (MPC) framework and is capable of optimizing power capture while also respecting machine constraints (e.g. velocity, maximum force, etc.). The controller can also take into account body-to-body interactions to improve accuracy and maximize power across a system of devices. The result is a robust controller which requires only position and velocity as exogenous inputs. All other signals, including excitation force from the sea, are either estimated or predicted within the controller. It is applicable to any WEC (or array thereof) equipped with a power take off (PTO) which can deliver power - as opposed to absorbing alone - and it can be applied both in simulation and hardware. Results from this study show that improvements in average power capture of up to 500% vs. fixed passive damping are possible without exceeding reasonable machine constraints. These results were obtained in simulation using an array of five point absorber WECs in a realistic sea state.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743009","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314329
Geethika Nannapaneni, T. Masaud, R. Challoo
The penetration level of conventional and renewable distributed generation (DG) has increased recently. Voltage stability is a key factor in determining optimal location and size of DGs in electric grid. DGs connected to distribution networks are potential to improve the system voltage stability. Placing DG units at weakest load buses (candidate buses) is a widely used technique which requires utilizing an effective voltage stability index. This paper evaluates the effectiveness of various voltage stability indices on utilizing DGs units optimally within certain limits and constraints. Important recommendations are concluded. The proposed study is demonstrated through power flow studies in IEEE 5-bus test system, using several scenarios of active and reactive load increase.
{"title":"A comprehensive analysis of voltage stability indices in the presence of distributed generation","authors":"Geethika Nannapaneni, T. Masaud, R. Challoo","doi":"10.1109/SUSTECH.2015.7314329","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314329","url":null,"abstract":"The penetration level of conventional and renewable distributed generation (DG) has increased recently. Voltage stability is a key factor in determining optimal location and size of DGs in electric grid. DGs connected to distribution networks are potential to improve the system voltage stability. Placing DG units at weakest load buses (candidate buses) is a widely used technique which requires utilizing an effective voltage stability index. This paper evaluates the effectiveness of various voltage stability indices on utilizing DGs units optimally within certain limits and constraints. Important recommendations are concluded. The proposed study is demonstrated through power flow studies in IEEE 5-bus test system, using several scenarios of active and reactive load increase.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125786638","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314313
Julanne K. McCulley
The design of portable power utilizing renewable energy sources has been instrumental in getting power to remote locations around the world. The Mobile Elemental Power Plant II is a small scale, off-grid, battery-based, portable system. It uses solar energy to provide 3000W of AC power from a battery bank, sustained by a 2160W array. The MEPP II is a self contained, towable system that can be quickly setup or torn down. The usefulness of MEPP II extends to remote medical sites, disaster relief locations, humanitarian projects, military applications, and rescue missions. The Engineering Technology department at Weber State University is using the various MEPP projects as instructional tools and for student capstone research projects.
{"title":"Portable solar power: Mobile elemental power plant II","authors":"Julanne K. McCulley","doi":"10.1109/SUSTECH.2015.7314313","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314313","url":null,"abstract":"The design of portable power utilizing renewable energy sources has been instrumental in getting power to remote locations around the world. The Mobile Elemental Power Plant II is a small scale, off-grid, battery-based, portable system. It uses solar energy to provide 3000W of AC power from a battery bank, sustained by a 2160W array. The MEPP II is a self contained, towable system that can be quickly setup or torn down. The usefulness of MEPP II extends to remote medical sites, disaster relief locations, humanitarian projects, military applications, and rescue missions. The Engineering Technology department at Weber State University is using the various MEPP projects as instructional tools and for student capstone research projects.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944336","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314344
A. Adabi, P. Mantey, Emil Holmegaard, M. B. Kjaergaard
Non-Intrusive Load Monitoring (NILM) is the process of identification of loads from an aggregate power interface using disaggregation algorithms. This paper identifies the current status, methodologies and challenges of NILM in residential and industrial settings. NILM has advanced substantially in recent years due to improvement in algorithms and methodologies. Currently, the important challenges facing residential NILM are inaccessibility of electricity meter high sampling data, and lack of reliable high resolution datasets. For industrial NILM the identification is more challenging due to increased number of loads and the variability of equipment type, temporal patterns and industrial secrecy. From our examination of data and its use in NILM, we observe that the number of devices that can be recognized and the training period required to achiever recognition is not only a function of the algorithms but more importantly is a function of sampling rates.
{"title":"Status and challenges of residential and industrial non-intrusive load monitoring","authors":"A. Adabi, P. Mantey, Emil Holmegaard, M. B. Kjaergaard","doi":"10.1109/SUSTECH.2015.7314344","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314344","url":null,"abstract":"Non-Intrusive Load Monitoring (NILM) is the process of identification of loads from an aggregate power interface using disaggregation algorithms. This paper identifies the current status, methodologies and challenges of NILM in residential and industrial settings. NILM has advanced substantially in recent years due to improvement in algorithms and methodologies. Currently, the important challenges facing residential NILM are inaccessibility of electricity meter high sampling data, and lack of reliable high resolution datasets. For industrial NILM the identification is more challenging due to increased number of loads and the variability of equipment type, temporal patterns and industrial secrecy. From our examination of data and its use in NILM, we observe that the number of devices that can be recognized and the training period required to achiever recognition is not only a function of the algorithms but more importantly is a function of sampling rates.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630889","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314352
Fred Chiou
Several energy efficiency projects have been performed on Weber State University campus in the past years. The achievement is remarkable. This paper will address the design of a pilot project, Solar Charging Station, through student's senior project for education and research. Students will learn the theory of solar Photovoltaic (PV) systems and to build an experimental solar stations to charge the electric bikes and electric motorcycle. The system will be demonstrated for two new courses, Renewable Energy and Solar PV Systems. The project is supported by the Office of Energy and Sustainability at the University. If the pilot project is successful, more solar charging stations will be installed on campus. The goals of this project are to educate the students of the University with the concept of sustainability, the theory and hands-on experience of solar energy applications and to promote the sustainability on campus by utilizing renewable energy.
{"title":"Solar energy for electric vehicles","authors":"Fred Chiou","doi":"10.1109/SUSTECH.2015.7314352","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314352","url":null,"abstract":"Several energy efficiency projects have been performed on Weber State University campus in the past years. The achievement is remarkable. This paper will address the design of a pilot project, Solar Charging Station, through student's senior project for education and research. Students will learn the theory of solar Photovoltaic (PV) systems and to build an experimental solar stations to charge the electric bikes and electric motorcycle. The system will be demonstrated for two new courses, Renewable Energy and Solar PV Systems. The project is supported by the Office of Energy and Sustainability at the University. If the pilot project is successful, more solar charging stations will be installed on campus. The goals of this project are to educate the students of the University with the concept of sustainability, the theory and hands-on experience of solar energy applications and to promote the sustainability on campus by utilizing renewable energy.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885278","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314315
K. Henson
Electricity is a commodity. The primary way to gain market share with commodities is lower prices. Base load electrical energy from coal costs about 4 cents per kWh. Three cent per kWh power from space would undercut coal by 25%. To reach that cost requires a capital investment of no more than $2400/kW ($12 B for a 5 GWe power satellite). This capital investment requires a transport cost to GEO of no more than $200/kg and a specific power of 6.5 kg/kW or less. This paper is an analysis of a thermal type power satellite that may meet the target kg/kW. If we can meet that goal and the transport cost goal, then energy from space will undercut the cost of electrical energy from coal.
{"title":"Thermal power satellite design and mass calculation","authors":"K. Henson","doi":"10.1109/SUSTECH.2015.7314315","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314315","url":null,"abstract":"Electricity is a commodity. The primary way to gain market share with commodities is lower prices. Base load electrical energy from coal costs about 4 cents per kWh. Three cent per kWh power from space would undercut coal by 25%. To reach that cost requires a capital investment of no more than $2400/kW ($12 B for a 5 GWe power satellite). This capital investment requires a transport cost to GEO of no more than $200/kg and a specific power of 6.5 kg/kW or less. This paper is an analysis of a thermal type power satellite that may meet the target kg/kW. If we can meet that goal and the transport cost goal, then energy from space will undercut the cost of electrical energy from coal.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123454921","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 : 2015-11-02DOI: 10.1109/SUSTECH.2015.7314339
E. Tingey, Jared J. Thomas, A. Ning
This project explored wind farm layout optimization using turbine acoustic and wake models. For two existing wind farms, the position of each wind turbine was optimized to maximize power output while constraining noise. Semi-empirical calculations were used for both the acoustic and wake models to predict how the turbine noise and wake disturbances propagated downstream. Turbine layout was optimized using a sequential quadratic programming optimizer called SNOPT. The optimization was able to constrain the noise level of the wind farms with a small impact on power output.
{"title":"Wind farm layout optimization using sound pressure level constraints","authors":"E. Tingey, Jared J. Thomas, A. Ning","doi":"10.1109/SUSTECH.2015.7314339","DOIUrl":"https://doi.org/10.1109/SUSTECH.2015.7314339","url":null,"abstract":"This project explored wind farm layout optimization using turbine acoustic and wake models. For two existing wind farms, the position of each wind turbine was optimized to maximize power output while constraining noise. Semi-empirical calculations were used for both the acoustic and wake models to predict how the turbine noise and wake disturbances propagated downstream. Turbine layout was optimized using a sequential quadratic programming optimizer called SNOPT. The optimization was able to constrain the noise level of the wind farms with a small impact on power output.","PeriodicalId":147093,"journal":{"name":"2015 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134535760","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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