An internet-of-things (IoT)-based low-cost sensor network can be used to collect the data necessary to study both Urban Heat Island (UHI) and air pollution. There are several key challenges associated with an IoT-based solution to environmental data monitoring, including packaging and deployment. This study explores these challenges by looking at effects the packaging has on the deployed environmental sensors. Several packaging designs are numerically studied using a computation fluid dynamics (CFD) model. Two sensor designs are chosen using results obtained from CFD modeling and then experimentally deployed. The findings conclude that the IoT sensors chosen for this study are not significantly affected by flow velocities or require advanced packaging designs when paired with street-side outdoor digital displays.
{"title":"Packaging Environmental Sensors for Monitoring Urban-Microclimates","authors":"Shuv Dey, J. Brown, Y. Joshi","doi":"10.1115/1.4047422","DOIUrl":"https://doi.org/10.1115/1.4047422","url":null,"abstract":"\u0000 An internet-of-things (IoT)-based low-cost sensor network can be used to collect the data necessary to study both Urban Heat Island (UHI) and air pollution. There are several key challenges associated with an IoT-based solution to environmental data monitoring, including packaging and deployment. This study explores these challenges by looking at effects the packaging has on the deployed environmental sensors. Several packaging designs are numerically studied using a computation fluid dynamics (CFD) model. Two sensor designs are chosen using results obtained from CFD modeling and then experimentally deployed. The findings conclude that the IoT sensors chosen for this study are not significantly affected by flow velocities or require advanced packaging designs when paired with street-side outdoor digital displays.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132169789","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}
Sara Abd Alla, V. Bianco, F. Scarpa, L. Tagliafico
Envelope insulation is a well-known strategy to improve buildings’ energy efficiency. This paper considers two archetypes of an apartment block typology largely diffused in the Italian building stock and evaluates the energy savings resulting from the application of three insulation materials: polyurethane foam, rock wool, and resin bonded fibre-board. The energy requirements for winter heating and summer cooling are assessed with EnergyPlus and then compared to the embodied energy of the insulation materials. Hence, the energy and carbon paybacks are calculated, and a cost analysis is proposed to provide an insight into the market impact for the retrofit materials’ choice. The apartment block model is analyzed in three main cities (Rome, Milan, and Palermo) allowing to assess the impact of the climatic condition in terms of minimization of primary energy consumption and environmental emissions. Simulations showed that thermal insulation has a higher impact on winter heating and slightly affects the summer cooling requirement. In Milan, the refurbishment gains relevance as the energy and carbon payback periods are shorter than those of the city of Palermo characterized by warmer weather. Considering the embodied energy impact, this method allows us to estimate the maximum potential for energy savings in existing buildings and provides an estimation of achievable results in a short-medium period.
{"title":"Retrofitting for Improving Energy Efficiency: The Embodied Energy Relevance for Buildings’ Thermal Insulation","authors":"Sara Abd Alla, V. Bianco, F. Scarpa, L. Tagliafico","doi":"10.1115/es2020-1628","DOIUrl":"https://doi.org/10.1115/es2020-1628","url":null,"abstract":"\u0000 Envelope insulation is a well-known strategy to improve buildings’ energy efficiency. This paper considers two archetypes of an apartment block typology largely diffused in the Italian building stock and evaluates the energy savings resulting from the application of three insulation materials: polyurethane foam, rock wool, and resin bonded fibre-board. The energy requirements for winter heating and summer cooling are assessed with EnergyPlus and then compared to the embodied energy of the insulation materials. Hence, the energy and carbon paybacks are calculated, and a cost analysis is proposed to provide an insight into the market impact for the retrofit materials’ choice. The apartment block model is analyzed in three main cities (Rome, Milan, and Palermo) allowing to assess the impact of the climatic condition in terms of minimization of primary energy consumption and environmental emissions. Simulations showed that thermal insulation has a higher impact on winter heating and slightly affects the summer cooling requirement. In Milan, the refurbishment gains relevance as the energy and carbon payback periods are shorter than those of the city of Palermo characterized by warmer weather. Considering the embodied energy impact, this method allows us to estimate the maximum potential for energy savings in existing buildings and provides an estimation of achievable results in a short-medium period.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131401217","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}
This paper evaluates the potential energy cost savings when high R-value static insulation layers as well as dynamic insulation materials (DIMs) are applied to residential housing located in Barcelona Spain. The analysis considers three dwelling prototypes to characterize the existing housing stock in Barcelona including detached attached and apartments. In addition three vintages for each housing prototype are defined: before 1979 when building envelope insulation took effect in Spain between 1980 and 2006 and after 2006 when the building envelope insulation code became more restrictive. Using a modified 3R2C network model to determine thermal loads the performance of both static and dynamic insulation systems is evaluated when applied to exterior wall for various housing prototypes in Barcelona. The dynamic insulation R-value is selected based on a 2-step control strategy. The analysis results indicate that DIMs with the largest R-value step (i.e. difference between the high and the low R-values) achieve the highest savings in source energy reaching up to 19% reduction in source heating and cooling energy for the entire housing stock of Barcelona. The annual energy savings achieved by DIMs are valued to be 181 M€/year for the entire existing housing stock in Barcelona. In addition electrical peak demand reduction associated with retrofitting exterior walls for the existing Barcelona housing stock can result in future avoidance of building new power plants and can provide additional 144 M€ and 162 M€ for respectively static and dynamic insulation systems. Considering the current energy mix applying dynamic wall insulation systems for Barcelona existing housing stock could reduce annual CO2 emissions by more than 300 000 tons or 6.80% of the total carbon dioxide currently emitted to heat and cool homes.
{"title":"Evaluation of Dynamic Insulation Systems for Residential Buildings in Barcelona, Spain","authors":"S. M. Garriga, M. Dabbagh, M. Krarti","doi":"10.1115/1.4045144","DOIUrl":"https://doi.org/10.1115/1.4045144","url":null,"abstract":"\u0000 This paper evaluates the potential energy cost savings when high R-value static insulation layers as well as dynamic insulation materials (DIMs) are applied to residential housing located in Barcelona Spain. The analysis considers three dwelling prototypes to characterize the existing housing stock in Barcelona including detached attached and apartments. In addition three vintages for each housing prototype are defined: before 1979 when building envelope insulation took effect in Spain between 1980 and 2006 and after 2006 when the building envelope insulation code became more restrictive. Using a modified 3R2C network model to determine thermal loads the performance of both static and dynamic insulation systems is evaluated when applied to exterior wall for various housing prototypes in Barcelona. The dynamic insulation R-value is selected based on a 2-step control strategy. The analysis results indicate that DIMs with the largest R-value step (i.e. difference between the high and the low R-values) achieve the highest savings in source energy reaching up to 19% reduction in source heating and cooling energy for the entire housing stock of Barcelona. The annual energy savings achieved by DIMs are valued to be 181 M€/year for the entire existing housing stock in Barcelona. In addition electrical peak demand reduction associated with retrofitting exterior walls for the existing Barcelona housing stock can result in future avoidance of building new power plants and can provide additional 144 M€ and 162 M€ for respectively static and dynamic insulation systems. Considering the current energy mix applying dynamic wall insulation systems for Barcelona existing housing stock could reduce annual CO2 emissions by more than 300 000 tons or 6.80% of the total carbon dioxide currently emitted to heat and cool homes.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"81 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129925679","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}
This paper evaluates the benefits of scaling-up energy efficiency and renewable energy programs for the building sector in Tunisia. Both energy and non-energy benefits are quantified using a bottom-up analysis approach to assess economic, environmental, and social impacts of a wide range of energy policies targeting new and existing Tunisian building stocks. The investments required to scale-up programs set to improve the energy efficiency performance of existing building stocks are determined in order to assess both their cost-effectiveness and their impact on the overall energy productivity of Tunisia's economy. The energy productivity analysis is performed to account for both energy and non-energy benefits of building-integrated energy efficiency programs. The energy productivity analysis clearly shows that retrofitting existing building stock has several benefits for Tunisia including reduction of the national energy consumption as well as improvement of the country's overall economy energy efficiency. However, only basic retrofit programs are found to be cost-effective for the private sector to implement with discounted payback periods of less than 5 years. Combined with improving the energy efficiency of new and existing buildings, the installation of rooftop photovoltaic systems for households can significantly lower reliance of Tunisia on imported fuels and improve the energy productivity of its overall economy.
{"title":"Multiple-Benefit Analysis of Scaling-Up Building Energy Efficiency Programs: The Case Study of Tunisia","authors":"M. Krarti","doi":"10.1115/1.4045871","DOIUrl":"https://doi.org/10.1115/1.4045871","url":null,"abstract":"This paper evaluates the benefits of scaling-up energy efficiency and renewable energy programs for the building sector in Tunisia. Both energy and non-energy benefits are quantified using a bottom-up analysis approach to assess economic, environmental, and social impacts of a wide range of energy policies targeting new and existing Tunisian building stocks. The investments required to scale-up programs set to improve the energy efficiency performance of existing building stocks are determined in order to assess both their cost-effectiveness and their impact on the overall energy productivity of Tunisia's economy. The energy productivity analysis is performed to account for both energy and non-energy benefits of building-integrated energy efficiency programs. The energy productivity analysis clearly shows that retrofitting existing building stock has several benefits for Tunisia including reduction of the national energy consumption as well as improvement of the country's overall economy energy efficiency. However, only basic retrofit programs are found to be cost-effective for the private sector to implement with discounted payback periods of less than 5 years. Combined with improving the energy efficiency of new and existing buildings, the installation of rooftop photovoltaic systems for households can significantly lower reliance of Tunisia on imported fuels and improve the energy productivity of its overall economy.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514293","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}
The energy consumption for cooling electronic equipment in data centers using central systems is significant and will continue to rise. The motivation of the present research study is based on the need to determine optimization strategies to improve and optimize the thermal efficiency of data centers using a simulation-based approach. Here, simulation is used to model and optimize a proposed research data center for use as an environment to test equipment and investigate best practices and strategies such as containment and hybrid cooling. The optimization technique used in this study finds the optimal operating conditions and containment strategies of the data center while meeting specific thermal conformance criteria. More specifically, optimum supply airflow rate and temperature setpoint of cooling units are sought under different containment configurations, including both hot aisle and cold aisle containment strategies in both full and partial setups. The results of the computational fluid dynamics (CFD) simulations indicated a lower probability of hot spots with full hot aisle containment strategy in a data center operating at lower supply airflow rate and higher supply temperature setpoint. The optimization approach helped to determine a more efficient cooling system without the risk of under-provisioning. The study considered steady-state conditions with static heat load and fixed equipment layout. However, the generalized optimization process developed in the present study should add to the repertoire of tools presently used for the optimization of new air-cooled data centers.
{"title":"A Simulation-Based Approach to Data Center Thermal Efficiency Optimization","authors":"K. Fouladi, J. Schaadt","doi":"10.1115/1.4044579","DOIUrl":"https://doi.org/10.1115/1.4044579","url":null,"abstract":"\u0000 The energy consumption for cooling electronic equipment in data centers using central systems is significant and will continue to rise. The motivation of the present research study is based on the need to determine optimization strategies to improve and optimize the thermal efficiency of data centers using a simulation-based approach. Here, simulation is used to model and optimize a proposed research data center for use as an environment to test equipment and investigate best practices and strategies such as containment and hybrid cooling. The optimization technique used in this study finds the optimal operating conditions and containment strategies of the data center while meeting specific thermal conformance criteria. More specifically, optimum supply airflow rate and temperature setpoint of cooling units are sought under different containment configurations, including both hot aisle and cold aisle containment strategies in both full and partial setups. The results of the computational fluid dynamics (CFD) simulations indicated a lower probability of hot spots with full hot aisle containment strategy in a data center operating at lower supply airflow rate and higher supply temperature setpoint. The optimization approach helped to determine a more efficient cooling system without the risk of under-provisioning. The study considered steady-state conditions with static heat load and fixed equipment layout. However, the generalized optimization process developed in the present study should add to the repertoire of tools presently used for the optimization of new air-cooled data centers.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131420510","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}
P. Chanpiwat, S. Gabriel, R. Moglen, Michael Siemann
This paper develops means to analyze and cluster residential households into homogeneous groups based on the electricity load. Classifying customers by electricity load profiles is a top priority for retail electric providers (REPs), so they can plan and conduct demand response (DR) effectively. We present a practical method to identify the most DR-profitable customer groups as opposed to tailoring DR programs for each separate household, which may be computationally prohibitive. Electricity load data of 10,000 residential households from 2017 located in Texas was used. The study proposed the clustered load-profile method (CLPM) to classify residential customers based on their electricity load profiles in combination with a dynamic program for DR scheduling to optimize DR profits. The main conclusions are that the proposed approach has an average 2.3% profitability improvement over a business-as-usual heuristic. In addition, the proposed method on average is approximately 70 times faster than running the DR dynamic programming separately for each household. Thus, our method not only is an important application to provide computational business insights for REPs and other power market participants but also enhances resilience for power grid with an advanced DR scheduling tool.
{"title":"Using Cluster Analysis and Dynamic Programming for Demand Response Applied to Electricity Load in Residential Homes","authors":"P. Chanpiwat, S. Gabriel, R. Moglen, Michael Siemann","doi":"10.1115/1.4045704","DOIUrl":"https://doi.org/10.1115/1.4045704","url":null,"abstract":"\u0000 This paper develops means to analyze and cluster residential households into homogeneous groups based on the electricity load. Classifying customers by electricity load profiles is a top priority for retail electric providers (REPs), so they can plan and conduct demand response (DR) effectively. We present a practical method to identify the most DR-profitable customer groups as opposed to tailoring DR programs for each separate household, which may be computationally prohibitive. Electricity load data of 10,000 residential households from 2017 located in Texas was used. The study proposed the clustered load-profile method (CLPM) to classify residential customers based on their electricity load profiles in combination with a dynamic program for DR scheduling to optimize DR profits. The main conclusions are that the proposed approach has an average 2.3% profitability improvement over a business-as-usual heuristic. In addition, the proposed method on average is approximately 70 times faster than running the DR dynamic programming separately for each household. Thus, our method not only is an important application to provide computational business insights for REPs and other power market participants but also enhances resilience for power grid with an advanced DR scheduling tool.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631659","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}
Solar PV Integration in the distribution network has become necessary to overcome the growing demand and to reduce emissions. The large percentage penetration of solar PV in the distribution network has more limitations to maintain the stability of the network. This paper emphasizes the strategy of location and the impact of solar PV integration in an urban distribution feeder. The urban distribution feeder has more service sector loads, having a majority of the demand during the daytime. To locate the solar PV, the diurnal load factor is proposed to maximize the utilization. With the proper location of solar PV in the appropriate nodes with more day demand, solar energy can be used locally without storage. This facilitates the effective utilization of urban distribution infrastructure, creating more network space for further load growth. The power flow and loading impact of solar PV generation are demonstrated on the 15-node Indian urban distribution feeder. Load profiles of various loads in different seasons of the year are normalized and grouped for the accurate analysis. Time series load flow analysis is performed with a variable load pattern to analyze the dynamic performance of the network.
{"title":"Effective Utilization of Solar Integrated Urban Distribution Network Infrastructure Using Diurnal Load Factor for Smart Cities","authors":"B. Muruganantham, R. Gnanadass","doi":"10.1115/1.4045202","DOIUrl":"https://doi.org/10.1115/1.4045202","url":null,"abstract":"\u0000 Solar PV Integration in the distribution network has become necessary to overcome the growing demand and to reduce emissions. The large percentage penetration of solar PV in the distribution network has more limitations to maintain the stability of the network. This paper emphasizes the strategy of location and the impact of solar PV integration in an urban distribution feeder. The urban distribution feeder has more service sector loads, having a majority of the demand during the daytime. To locate the solar PV, the diurnal load factor is proposed to maximize the utilization. With the proper location of solar PV in the appropriate nodes with more day demand, solar energy can be used locally without storage. This facilitates the effective utilization of urban distribution infrastructure, creating more network space for further load growth. The power flow and loading impact of solar PV generation are demonstrated on the 15-node Indian urban distribution feeder. Load profiles of various loads in different seasons of the year are normalized and grouped for the accurate analysis. Time series load flow analysis is performed with a variable load pattern to analyze the dynamic performance of the network.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132214246","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}
Zachary E. Lee, Qingxuan Sun, Zhaoshuai Ma, Jiangfeng Wang, Jason S. MacDonald, K. M. Zhang
The integration of variable and intermittent renewable energy generation into the power system is a grand challenge to our efforts to achieve a sustainable future. Flexible demand is one solution to this challenge, where the demand can be controlled to follow energy supply, rather than the conventional way of controlling energy supply to follow demand. Recent research has shown that electric building climate control systems like heat pumps can provide this demand flexibility by effectively storing energy as heat in the thermal mass of the building. While some forms of heat pump demand flexibility have been implemented in the form of peak pricing and utility demand response programs, controlling heat pumps to provide ancillary services like frequency regulation, load following, and reserve have yet to be widely implemented. In this paper, we review the recent advances and remaining challenges in controlling heat pumps to provide these grid services. This analysis includes heat pump and building modeling, control methods both for isolated heat pumps and heat pumps in aggregate, and the potential implications that this concept has on the power system.
{"title":"Providing Grid Services With Heat Pumps: A Review","authors":"Zachary E. Lee, Qingxuan Sun, Zhaoshuai Ma, Jiangfeng Wang, Jason S. MacDonald, K. M. Zhang","doi":"10.1115/1.4045819","DOIUrl":"https://doi.org/10.1115/1.4045819","url":null,"abstract":"\u0000 The integration of variable and intermittent renewable energy generation into the power system is a grand challenge to our efforts to achieve a sustainable future. Flexible demand is one solution to this challenge, where the demand can be controlled to follow energy supply, rather than the conventional way of controlling energy supply to follow demand. Recent research has shown that electric building climate control systems like heat pumps can provide this demand flexibility by effectively storing energy as heat in the thermal mass of the building. While some forms of heat pump demand flexibility have been implemented in the form of peak pricing and utility demand response programs, controlling heat pumps to provide ancillary services like frequency regulation, load following, and reserve have yet to be widely implemented. In this paper, we review the recent advances and remaining challenges in controlling heat pumps to provide these grid services. This analysis includes heat pump and building modeling, control methods both for isolated heat pumps and heat pumps in aggregate, and the potential implications that this concept has on the power system.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144291","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}
{"title":"Inaugural Editorial","authors":"Jorge E. González, M. Krarti","doi":"10.1115/1.4029149","DOIUrl":"https://doi.org/10.1115/1.4029149","url":null,"abstract":"","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836338","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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