The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Xinping Guan - One of the best experts on this subject based on the ideXlab platform.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
Vehicular Technology Conference, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of Energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily Energy demand. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
arXiv: Optimization and Control, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of Energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily Energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.
Tian Wang - One of the best experts on this subject based on the ideXlab platform.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
Vehicular Technology Conference, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of Energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily Energy demand. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
arXiv: Optimization and Control, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of Energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily Energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.
Bo Yang - One of the best experts on this subject based on the ideXlab platform.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
Vehicular Technology Conference, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of Energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily Energy demand. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
arXiv: Optimization and Control, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of Energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily Energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.
Cailian Chen - One of the best experts on this subject based on the ideXlab platform.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
Vehicular Technology Conference, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. To explore the characteristics of Energy demand, we first analyze the daily trajectory of taxis in different regions and find different fluctuating features of daily Energy demand. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method has significantly improved the effect.
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wireless charging lane deployment in urban areas considering traffic light and regional Energy Supply demand balance
arXiv: Optimization and Control, 2019Co-Authors: Tian Wang, Bo Yang, Cailian Chen, Xinping GuanAbstract:In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of Energy Supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of Energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily Energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power Supply model to obtain the wireless charging Supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional Energy Supply-demand balance and overall Supply-demand matching, we formulate optimization problems ensuring the charge-Energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.
Ryohei Yokoyama - One of the best experts on this subject based on the ideXlab platform.
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optimal operations management of residential Energy Supply networks with power and heat interchanges
Energy and Buildings, 2017Co-Authors: Tetsuya Wakui, Ryohei Yokoyama, Kento Sawada, Hiroki Kawayoshi, Hiroshi Iitaka, Hirohisa AkiAbstract:Abstract An optimal operations management system of residential Energy Supply networks employing power and heat interchanges among cogeneration units and storage tanks was developed. This system integrated Energy demand prediction, operation scheduling to predicted Energy demand using mixed-integer linear programming, and real-time control for the cogeneration units and the heat interchange hierarchically. The Energy demand prediction and operation scheduling were updated using a receding horizon approach. The novelty of the study is characterized by developing an operations management framework for heat interchange among storage tanks and by proposing an event-driven receding horizon approach. The developed operations management system was applied to annual operating simulation of a residential Energy Supply network, consisting of four fuel cell-based cogeneration units and four storage tanks. The results showed that employing the power and heat interchanges increases a reduction rate of annual primary Energy consumption by 3.24 and 5.63 percentage points relative to the power interchange operation and separate operation of the cogeneration units, respectively. Moreover, the event-driven receding horizon approach based on heat interchange schedule maintained an Energy-saving performance subequal to the conventional receding horizon approach and reduced the daily receding number by 46.7% of the conventional receding horizon approach.
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a revised method for robust optimal design of Energy Supply systems based on minimax regret criterion
Energy Conversion and Management, 2014Co-Authors: Ryohei Yokoyama, Koji Fujiwara, Masashi Ohkura, Tetsuya WakuiAbstract:Abstract A robust optimal design method of Energy Supply systems under uncertain Energy demands is revised so that it can be applied to systems with complex configurations and large numbers of periods for variations in Energy demands. First, a robust optimal design problem is described by using the minimax regret criterion and considering the hierarchical relationship among design variables, Energy demands, and operation variables, which is followed by a solution method. Especially, a novel solution method is proposed for efficiently evaluating an upper bound for the optimal value of the maximum regret. Then, a method of comparing two Energy Supply systems under uncertain Energy demands is proposed by utilizing a part of the revised robust optimal design method. Finally, through a case study on a gas turbine cogeneration system for district Energy Supply, the validity and effectiveness of the revised optimal design method and features of the robust optimal design are clarified. In addition, the gas turbine cogeneration system is compared with a conventional Energy Supply system using the proposed comparison method.
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a mixed integer linear programming approach for cogeneration based residential Energy Supply networks with power and heat interchanges
Energy, 2014Co-Authors: Tetsuya Wakui, Takahiro Kinoshita, Ryohei YokoyamaAbstract:The feasibility on a residential Energy Supply network using multiple cogeneration systems, known as combined heat and powers, is investigated by an optimization approach. The target residential Energy Supply network is based on a microgrid of residential cogeneration systems without electric power export, and featured by power and heat interchanges among cogeneration systems and hot water Supply network where produced hot water is supplied to multiple residence units through networked pipes. First, an optimal operational planning model is developed on the basis of mixed-integer linear programming, where Energy loss characteristics of connecting pipes between storage tanks are originally modeled by considering the influence of hot water retention. Second, a hot water demand calculation model considering Energy loss from networked pipes is developed to reduce the solution space of the optimization problem. The developed models are then applied to a residential Energy Supply network for a housing complex composed of multiple 1-kWe gas engine-based cogeneration systems and 20 residence units. The results show that the Energy-saving effect of the residential Energy Supply network is dominated by the power interchange and decreases with an increase in the number of residence units involved in the hot water Supply network.
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structural optimization of an Energy Supply system from economic viewpoint
Jsme International Journal Series B-fluids and Thermal Engineering, 2004Co-Authors: Satoshi Gamou, Ryohei Yokoyama, Koichi Ito, Shu YoshidaAbstract:An optimal planning method of system structure is proposed to determine kinds, numbers and capacities of equipment for an Energy Supply system installed in commercial and public buildings from economic viewpoint. In this method, they are determined together with maximum contract demands of utilities such as electricity and natural gas so as to minimize the annual total cost in consideration of system's annual operational strategies corresponding to seasonal and hourly Energy demand requirements. A numerical study is carried out for an office building with total floor area of 15 000 m 2 . Through the study, the following are clarified: (a) the optimal system structure for the office building; (b) the economic effects of the optimal system compared to other typical Energy Supply systems; (c) the influence on the optimal system structure of the future efficiency improvement and initial capital cost reduction of equipment.
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a milp decomposition approach to large scale optimization in structural design of Energy Supply systems
Energy Conversion and Management, 2002Co-Authors: Ryohei Yokoyama, Yasushi Hasegawa, Koichi ItoAbstract:Abstract An optimal structural design method is proposed to determine the structures of Energy Supply systems in consideration of their multi-period operation. The optimization problem is formulated as a large scale mixed integer linear programming (MILP) problem with binary variables for selection and on/off status of operation of equipment and continuous variables for capacities and load allocation of equipment. The dependence of the performance characteristics of equipment on their capacities and part loads, as well as that of capital costs of equipment on their capacities, are incorporated into the optimization model. A decomposition method of solving MILP problems with the block angular structure is applied to derive a suboptimal solution close to the optimal one in a short computation time. The meaning and validity of the decomposition method are clarified through an analytical study on an Energy Supply system with a simple structure. The validity and effectiveness of the decomposition method are also clarified in terms of solution optimality and computation time through a numerical study on another Energy Supply system with a complex structure.
