An integrated quantitative-qualitative study to monitor the utilization and assess the perception of hydrogen fueling stations
An integrated quantitative-qualitative study to monitor the utilization and assess the perception of hydrogen fueling stations
复制标题
一项综合定量-定性研究，用于监测加氢站的利用率和评估加氢站的认知
DOI：
10.1016/j.ijhydene.2019.05.053
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发表时间：
2019
影响因子：
7.2
通讯作者：
Kalai Ramea
中科院分区：
文献类型：
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作者：
Kalai Ramea
零排放汽车（ZEV）的采用是运输部门脱碳的关键解决方案之一。在美国的ZEV车队中，电池电动汽车（BEV）一直引领市场渗透。然而，近年来，氢燃料电池电动汽车（FCEV）也越来越多地被采用。尽管这两种技术在基础设施方面都存在挑战，但与拥有多个充电场所（家庭，工作或公共）的BEV不同，FCEV仅依赖于在公共加氢站加油，并且其可用性是购买车辆之前的重要因素。因此，为了成功采用FCEV，需要监控和了解这些站点的驾驶员满意度是非常关键的。该研究项目引入了一种定量-定性方法，用于根据加氢站利用模式持续监测加氢站，并根据驾驶员经验评估其优先性。为了说明概念验证，我们收集了加州所有加氢站三个月的小时利用率数据。时间序列数据被用来开发一个独立于能力的术语，称为“归一化相对利用指数”（NRUI），它将每个台站的利用模式封装为一个单一的度量。我们将该度量在邻域中存在的FCEV的数量上进行空间回归以推导出关系。我们设计了一项调查，以获得燃料电池汽车司机的加油经验，其中约100名参与者回答了他们的车站偏好。他们的答案被用来验证定量方法，并确定一个“满意的利用范围”（SUR）的车站，这是首选的大多数司机。虽然该项目说明了在一个小的时间内收集的数据的分析，这种方法是很容易扩展与新的站安装，并可以作为一个连续的监测系统与实时站利用数据。我们相信，这种以需求为中心的方法可以补充现有的供应方对加油站性能的监控方法，为司机提供更顺畅的加油体验。我们还向研究界发布了作为本研究一部分收集的每小时车站容量数据集。
Zero-emission vehicle (ZEV) adoption is one of the critical solutions to decarbonize the transportation sector. Among the ZEV fleet in the US, battery electric vehicles (BEV) have been leading the market penetration. However, hydrogen fuel cell electric vehicles (FCEV) have also been increasingly adopted in recent years. Although both technologies have challenges with infrastructure, unlike BEVs that have multiple venues for charging (home, work or public), FCEVs rely solely on fueling at public hydrogen stations, and their availability is a significant factor before the vehicle purchase. Therefore, for the success of FCEV adoption, a need to monitor and understand the driver satisfaction of these stations is extremely critical. This research project introduces a quantitative-qualitative approach for continuous monitoring of hydrogen stations based on the station utilization patterns and to assess their preferability based on driver experiences. To illustrate a proof-of-concept, we collected the hourly utilization data of all the hydrogen fueling stations in California for three months. The time-series data was used to develop a capacity-independent term called “Normalized Relative Utilization Index” (NRUI) that encapsulates the utilization pattern of each station to a single metric. We spatially regressed this metric over the number of FCEVs present in the neighborhood to deduce the relationship. We designed a survey to obtain the refueling experiences of FCEV drivers, where about 100 participants responded with their station preferences. Their answers were used to validate the quantitative approach and identify a “Satisfactory Utilization Range” (SUR) of stations which are preferred by most drivers. Though this project illustrates the analysis of data collected over a small period, this approach is easily scalable with new station installations and can be implemented as a continuous monitoring system with real-time station utilization data. We believe this demand-focused approach could complement the existing supply-side monitoring methods on station performance to provide a smoother fueling experience to drivers. We are also releasing the hourly station capacity dataset that was collected as a part of this study to the research community.