基于浮动车数据的新能源汽车充电站选址布局研究——以广州中心城区为例

新能源汽车推广是未来减少温室气体排放、替代传统能源的手段,而充电基础设施能否满足充电时空需求对成功推广至关重要。本文以广州市中心城区为案例对充电需求进行时空特征分析,并在此基础上提出充电时空需求的最大覆盖模型,探求在一定充电站数量下的充电站最佳选址布局区域。结果表明,广州市中心城区出租车出行距离较短,行程间时长多集中在0～20min内;充电需求高度集聚,其分布呈现\"80/20\"定律,工作日与非工作日间差异不明显。分析预选充电站5、10和15min内的服务覆盖区,广州市中心城区应选择紧凑型的充电站布局（w1=0.5）。国家自然科学基金(41171139

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies