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Testing integrated electric vehicle charging and domestic heating strategies for future UK housing

机译:测试未来英国住房的综合电动汽车充电和家庭供暖策略

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A building simulation tool and electric vehicle (EV) charging algorithm were used to investigate the impact of electrified home heating and EV charging on the electrical demand characteristics of a net-zero-energy UK dwelling. A range of strategies by which EV charging and electrified heating could be controlled in order to minimise peak demands were tested, including off-peak load shifting, fast and slow vehicle charging, demand limited charging and heating, and bi-directional battery operation. These were compared to a base case without electrified heating and EV charging. The results indicate that the most effective operating strategy to minimise the impact of electrification on the mean peak household electrical demand was slow vehicle charging, coupled with off-peak heat pump operation. However, heat pump load shifting had an adverse impact on indoor temperatures. Off-peak-load-shifting of both the vehicle charging and heat pump operation proved counterproductive as this inadvertently synchronised both loads, resulting in high peak demands. The most successful strategy proved to be a combination of bi-directional battery operation, coupled with load controlled charging and heat pump operation this approach limited average and absolute peak demands and almost eliminated the difference in absolute peak demands seen between fast and slow charging. (C) 2015 Elsevier B.V. All rights reserved.
机译:使用建筑模拟工具和电动汽车(EV)充电算法来研究带电家庭供暖和EV充电对英国零能耗网住宅的电力需求特征的影响。测试了一系列可控制EV充电和电气加热以最大程度降低峰值需求的策略,包括非高峰负载转移,快速和慢速车辆充电,需求受限的充电和加热以及双向电池操作。将这些与没有电气加热和EV充电的基本情况进行了比较。结果表明,将电气化对平均峰值家庭用电需求的影响最小化的最有效的操作策略是缓慢的车辆充电以及非高峰热泵操作。但是,热泵的负荷转移对室内温度有不利影响。事实证明,车辆充电和热泵运行的非高峰负荷转移均适得其反,因为这会无意中使两个负荷同步,从而导致较高的峰值需求。事实证明,最成功的策略是双向电池操作,负载控制充电和热泵操作相结合,这种方法限制了平均和绝对峰值需求,几乎消除了快速充电和慢速充电之间出现的绝对峰值需求之间的差异。 (C)2015 Elsevier B.V.保留所有权利。

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