Actual household tapwater consumption by hot and cold channel, respective temperatures, and artificial total flowrate with use of an innovative pulse model

The data shared are linked to the published article "A methodology for synthetic household water consumption data generation", by D. Kofinas, A. Spyropouloy, and C. Laspidou, in Environmental Modelling and Software, 2018. The attached sheets include data sets linked to 19 household pilots, 10 in Skiathos and 9 in Socnowiec. The sheets contain actual flowrates through the hot and cold channels, respective temperatures, and the synthetic flows that are generated by the algorithm described in the paper. The data sets refer to water flowrate values that are recorded every 30 sec of water consumption. Once there is flow in the monitored faucet/appliance, the sensor generates a record with the corresponding timestamp; at the end of the 30-sec period, it records the water consumption (in liters/min) during the 30-sec period. If the faucet/appliance is still on, the next timestamp is recorded and then the corresponding consumption, and so on. Every 30 sec, the sensor checks for flow and when the faucet/ appliance is off, no record is produced, thus finalizing the creation of a water consumption incident record. When the next water consumption incident starts, the procedure repeats itself. For the period in-between the two incidents, no record is produced. All incidents themselves have a 30-sec time step, but the starting time of an incident might be for example 45 s after the previous one. This means that sensor-produced data are not in the form of a single time series with a 30-sec time step, but are recorded in the form of numerous clusters each one representing a small time series of the equivalent incident. In reality, in order to distinguish between incidents, one detects when the time distance between two consecutive records is greater than 30 s. The number of records per incident is used to calculate its duration.
This work was supported by the project ISS EWATUSdIntegrated Support System for Efficient Water Usage and Resources Managementdwhich is implemented in the framework of the EU 7th Framework Programme, Specific programme Cooperation Information and Communication Technologies; Grant Agreement Number 619228.

所共享数据与已发表的论文《合成家庭用水消耗数据生成方法》相关联，该论文由D. Kofinas、A. Spyropouloy和C. Laspidou所著，发表于《环境建模与软件》2018年。所附表格包含与19个家庭试点相关的数据集，其中10个位于斯基亚索斯，9个位于索科诺维茨。表格内容涵盖热冷通道的实际流量、相应温度以及由论文中描述的算法生成的合成流量。数据集记录了每30秒的水消耗流量值。一旦监测到的水龙头/设备有流量，传感器便生成带有相应时间戳的记录；在30秒周期的结束时，记录该周期内的用水量（以升/分钟计）。如果水龙头/设备仍然开启，则记录下一个时间戳以及相应的用水量，依此类推。每30秒，传感器检查流量，当水龙头/设备关闭时，不产生记录，从而完成一次用水事件的记录创建。当下一次用水事件开始时，该过程重复进行。在两次事件之间的时间段内，不产生记录。所有事件本身具有30秒的时间步长，但事件开始时间可能比前一个事件晚45秒，这意味着传感器产生的数据并非以单一时间序列的形式，而是以多个簇的形式记录，每个簇代表等效事件的小时间序列。实际上，为了区分事件，通过检测连续记录之间的时间间隔是否大于30秒来进行区分。通过计算每个事件的记录数量来确定其持续时间。本项研究得到欧盟第七框架计划下“高效用水及资源管理系统综合支持系统”（Integrated Support System for Efficient Water Usage and Resources Management，简称ISS EWATUS）项目的支持，该项目在“信息与通信技术合作”特定计划框架内实施；资助协议编号为619228。