Experimental Data on Hot Water Storage Tank

This dataset pertains to a series of laboratory experiments conducted using a commercially available hot water storage tank, simulating various operational scenarios typical of heat pump-driven heating systems. The objective of these experiments was to assess the model's performance across a spectrum of inlet temperatures and mass flow rates, ensuring its effectiveness under diverse operating conditions. The experimental setup was based at the Energy Exchange Lab of Eurac Research and featured a KOOLTANK 2000 TES tank.
A total of eleven charging and eleven discharging experiments were carried out on the water storage tank. In the charging tests, the gas boiler was initially activated to heat the water within the tank, ensuring uniformity with a target temperature of 30°C along the vertical axis. Subsequently, depending on the specific charging scenario, hot water at temperatures of 40°C, 55°C, 70°C, and 83°C was introduced into the tank through the upper port. Simultaneously, water was discharged from the lower port, with the outflow temperature matching the charging temperature as the criteria for completion. Different inlet mass flow rates of 0.14 kg/s, 0.28 kg/s, and 0.42 kg/s were explored for each inlet temperature. However, it's important to note that the charging experiment involving an inlet temperature and mass flow rate of 83°C and 0.42 kg/s was deemed unfeasible due to limitations in the gas boiler's power capacity.
For the discharging tests, the gas boiler's setpoint temperatures were set at 40°C, 55°C, 70°C, and 83°C, depending on the specific case number. The tests commenced when three thermometers confirmed the setpoint temperature with some margin. In these tests, water at an inlet temperature and mass flow rate of 30°C and 0.14 kg/s was injected into the lower terminal, while hot water was discharged from the upper terminal. The experiments continued until the outflow water reached 30°C. These discharging tests were also conducted for inlet mass flow rates of 0.28 kg/s and 0.42 kg/s. The following table provide further details of each charging and discharging experiment.
The attached figure (scheme) illustrates a simplified configuration of the storage tank, emphasizing the bidirectional flow during the charging and discharging phases without auxiliary components. The tank features lower and upper ports, located at 0.23 m and 1.56 m from the bottom, respectively. Water temperatures inside the tank were accurately monitored using three platinum Resistance Temperature Detector (RTD) sensors, strategically immersed at heights of 0.41 m (T_bot), 0.88 m (T_mid), and 1.35 m (T_top) from the bottom. The platinum RTD temperature sensors used in the experiments have a maximum error of ±0.28 °C, providing reliable temperature measurements. Moreover, flow rates were measured using a magnetic flow meter with an error margin of ±0.008 m3/h.
The description of data included in each experiment is added to the attached Metadata.

本数据集基于一系列实验室实验构建，实验采用商用储热水箱，模拟热泵驱动供暖系统的各类典型运行工况。本实验的核心目标为评估模型在不同进水温度与质量流量下的性能表现，确保其在多样运行条件下的有效性。实验装置搭建于欧拉克研究（Eurac Research）能源交换实验室，所用核心设备为KOOLTANK 2000型蓄热（TES）水箱。

本次实验共开展11次蓄热充注实验与11次释热放流实验。在充注实验中，首先启动燃气锅炉加热箱内水体，确保水箱垂直方向水温均匀至目标温度30℃。随后根据具体工况，通过上部端口向箱内注入40℃、55℃、70℃及83℃的热水；同时从下部端口排水，以出水温度与进水温度一致作为实验结束的判定标准。针对每种进水温度，分别设置0.14 kg/s、0.28 kg/s及0.42 kg/s三种进水质量流量开展测试。需特别说明的是，由于燃气锅炉功率容量限制，进水温度83℃、质量流量0.42 kg/s的充注实验无法实施。

释热放流实验中，燃气锅炉的设定温度根据工况编号分别设置为40℃、55℃、70℃及83℃。当三台铂电阻（RTD, Resistance Temperature Detector）温度传感器确认水温达到设定温度并留有一定余量后，实验正式启动。本次实验向水箱下部端口注入30℃的水体，进水质量流量为0.14 kg/s，同时从上部端口排出热水，直至出水水温降至30℃时实验终止。此外，本次放流实验还分别采用0.28 kg/s及0.42 kg/s的进水质量流量进行测试。各充注与放流实验的详细参数见如下附表。

随附的示意图展示了该蓄热水箱的简化结构，重点呈现了充注与放流阶段的双向流道，未包含辅助组件。该水箱的上下端口分别距底部0.23 m及1.56 m。箱内水温通过三台铂电阻温度传感器精准监测，传感器分别安装于距底部0.41 m（T_bot）、0.88 m（T_mid）及1.35 m（T_top）的高度位置。本次实验所用的铂电阻温度传感器最大测量误差为±0.28℃，可提供可靠的温度测量数据。此外，流体流量通过电磁流量计进行监测，该流量计的误差范围为±0.008 m³/h。

各实验包含的数据集详情已附加至元数据（Metadata）中。

搜集汇总

背景与挑战

背景概述

该数据集包含热水储罐的实验室实验数据，模拟热泵驱动加热系统的操作场景，涉及11次充电和11次放电测试，覆盖多种入口温度（40°C、55°C、70°C、83°C）和质量流量（0.14 kg/s、0.28 kg/s、0.42 kg/s），旨在评估储罐在不同条件下的性能。数据包括温度和时间测量，使用高精度传感器，适用于能源存储和圆柱形储罐研究。