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Integrated Modelling for a Future Smart City: Toward efficient CO_2 Management of EV transport using PV systems

机译:面向未来智慧城市的集成建模:使用光伏系统实现电动汽车交通的高效CO_2管理

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Designing a future smart city (FSC) that copes with the reduction of CO_2 has become one ofthe urgent tasks in the next 20 years. One promising approach to achieve FSC is to combineappropriate land use (location of photovoltaic panels (PVs)), transportation (large scale use ofelectric vehicles (EVs)) and energy system (smart grid systems), because these urbanelements interact with each other. However, there are few models which simulate theseelements in an integrated manner. This paper presents two research results which achieve thisintegration. The first uses a long-term perspective to simulate the effects of urban form onelectricity demand using a newly developed land use model. The model simulates electricitydemand under possible future compact/dispersion city scenarios in 2050 for the Tokyometropolitan area. The second, real time model, simulates the effects of large-scaleintroduction of EVs and PVs on hourly regional electric demand/supply for Yokohama city,Japan, using an agent based transport simulator called MATSim. The results suggest that thehourly electricity surplus from PVs can be fully stored without waste if 22% of the EVs areused as battery storage when all of the current cars are replaced by EVs. Regional electricitydemand structure will change if EVs are diffused on a large scale, but it depends on the timingof EV-charging.
机译:设计一个可以减少CO_2的未来智慧城市(FSC)已成为其中之一 未来20年的紧迫任务。实现FSC的一种有前途的方法是将 适当的土地使用(光伏电池板的位置),运输(大规模使用 电动汽车(EVs)和能源系统(智能电网系统),因为这些城市 元素彼此交互。但是,很少有模型可以模拟这些 元素集成在一起。本文提出了两个研究成果来实现这一目标 一体化。第一个使用长期视角来模拟城市形态对城市的影响 使用新开发的土地利用模型的电力需求。该模型模拟电 东京可能在2050年未来紧凑/分散城市场景下的需求 大都市区。第二个实时模型模拟了大规模的影响 横滨市每小时区域电力需求/供应中的电动汽车和光伏汽车的引入, 日本,使用称为MATSim的基于代理的运输模拟器。结果表明 如果22%的EV是电动汽车,则每小时可充分存储PV的剩余电力而不会浪费 当前所有的汽车都被电动汽车取代时用作电池存储。区域电力 如果电动汽车大规模扩散,需求结构将发生变化,但这取决于时机 电动汽车充电。

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