The Experts below are selected from a list of 23421 Experts worldwide ranked by ideXlab platform
Walid Saad - One of the best experts on this subject based on the ideXlab platform.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
IEEE Access, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected systems. Then, for the framework’s proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
arXiv: Systems and Control, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5\% and the deviation of the power draw from the grid can be 7\% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
Wangda Zuo - One of the best experts on this subject based on the ideXlab platform.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
IEEE Access, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected systems. Then, for the framework’s proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
arXiv: Systems and Control, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5\% and the deviation of the power draw from the grid can be 7\% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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equation based object oriented Modeling and simulation for data center cooling a case study
Energy and Buildings, 2019Co-Authors: Wangda Zuo, Michael Wetter, Jim Vangilder, Xu Han, David W PlamondonAbstract:Abstract Data center cooling accounts for about 1% of electricity usage in the United States. Computer models are pivotal in designing and operating energy-efficient cooling systems. Compared to conventional building performance simulation programs, the equation-based Object-Oriented Modeling Language Modelica is an emerging approach that can enable fast prototyping and dynamic simulation of cooling systems. In this case study, we first modeled the cooling and control systems of an actual data center located in Massachusetts using the open-source Modelica Buildings library, and then calibrated a baseline model based on measurement data. The simulation of the baseline model identified several operation-related issues in the cooling and control systems, such as degraded cooling coils, improper dead band in control settings, and simultaneous cooling and heating in air handlers. Afterwards, we used a sequential search technique as well as an optimization scheme to investigate the energy saving potentials for different energy efficiency measures aiming to address the abovementioned issues. Simulation results show potential energy savings up to 24% by resolving identified control-related issues and optimizing the supply air temperature.
Kathryn Hinkelman - One of the best experts on this subject based on the ideXlab platform.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
IEEE Access, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected systems. Then, for the framework’s proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
arXiv: Systems and Control, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5\% and the deviation of the power draw from the grid can be 7\% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
Qianqian Zhang - One of the best experts on this subject based on the ideXlab platform.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
IEEE Access, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected systems. Then, for the framework’s proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
arXiv: Systems and Control, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5\% and the deviation of the power draw from the grid can be 7\% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
Jing Wang - One of the best experts on this subject based on the ideXlab platform.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
IEEE Access, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including energy, transportation, and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert the underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among these systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open-source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected systems. Then, for the framework’s proof of concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, and energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5% and the deviation of the power drawn from the grid can be 7% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
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an open source Modeling framework for interdependent energy transportation communication infrastructure in smart and connected communities
arXiv: Systems and Control, 2019Co-Authors: Kathryn Hinkelman, Wangda Zuo, Jing Wang, Qianqian Zhang, Walid SaadAbstract:Infrastructure in future smart and connected communities is envisioned as an aggregate of public services, including the energy, transportation and communication systems, all intertwined with each other. The intrinsic interdependency among these systems may exert underlying influence on both design and operation of the heterogeneous infrastructures. However, few prior studies have tapped into the interdependency among the three systems in order to quantify their potential impacts during standard operation. In response to this, this paper proposes an open source, flexible, integrated Modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact of their interdependencies. First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible Modeling of the interconnected energy, transportation, and communication systems. Then, for the framework's proof-of-concept, preliminary component and system-level models for different systems are designed and implemented using Modelica, an equation-based Object-Oriented Modeling Language. Finally, three case studies of gradually increasing complexity are presented (energy, energy + transportation, energy + transportation + communication) to evaluate the interdependencies among the three systems. Quantitative analyses show that the deviation of the average velocity on the road can be 10.5\% and the deviation of the power draw from the grid can be 7\% with or without considering the transportation and communication system at the peak commute time, indicating the presence of notable interdependencies. The proposed Modeling framework also has the potential to be further extended for various Modeling purposes and use cases, such as dynamic Modeling and optimization, resilience analysis, and integrated decision making in future connected communities.
