Automated Testbed for Building Systems Components

对于可再生能源的热转换和集成，需要具有组件（热泵，热交换器，吸收器，集热器等）的系统，按照低ex原则实现低温差的高效率。为了达到这些效率，必须精确地知道组件的行为。因此，实验室条件下的测量是研究和开发此类系统的中心先决条件。测试平台的任务是实现对组件的精确测量。这为构件的静态和动态行为的精确建模和仿真提供了数据。这些模型然后通过硬件在环仿真和验证反馈到新系统的研究中，再次使用试验台。由于不足够稳定的条件和缺乏控制选项，不可能通过在实验室测试平台之外的原型和演示环境中进行测试来获取该质量的测量数据和模型验证。该试验台的特殊之处在于可以使用三种媒体流：1。1 .具有高功率的用于热湿传递的调节气流（最高可达25 kW）；调节液体流也具有高功率传输（高达25千瓦）和3。用于有限功率应用的调节气流，以模拟两个室内或室外气候（高达5千瓦）。测量遵循三个用例：1。建筑设备部件的热湿交换，2。2 .潮湿空气和空气收集器的测量；室内空调用气流测量。该单元的一个重点将是研究基于开放吸收和空气对空气系统集成热泵的新系统组件。这包括使用太阳辐射作为热源，潜热传输作为湿度，以及其他基于纳米流体的方法来建立低损耗传输原理。此外，该装置还可以在这种新型系统和传统建筑服务系统的背景下进行室内舒适性的实验研究。最后，该设备为机器学习（ML）生成的数据驱动预测模型提供了数据采集的机会，这些模型代表了复杂的热力学过程，以便按照基于组件的ML范例以敏捷的方式进一步模拟和规划。

For the heat transition and integration of renewable energies, systems with components (heat pumps, heat exchangers, absorbers, collectors, etc.) are required that achieve high efficiencies with low temperature differences following the low-ex principle. To achieve these efficiencies, the behavior of the components must be precisely known. Measurement under laboratory conditions is therefore a central prerequisite for the research and development of such systems. The task of the testbed is to enable this precise measurement of components. This provides data for precise modeling and simulation of not only the static but also the dynamic behavior of the components. These models then feed back into the research of novel systems through hardware-in-the-loop simulation and validation, again using the testbed. Due to insufficiently stable conditions and a lack of control options, the acquisition of measurement data and model validation of this quality is not possible through testing in the context of prototypes and demonstrators outside of a laboratory testbed. The special feature of the testbed is that three media streams are available: 1. a conditioned air stream with high power application for heat and moisture transfer (up to 25 kW), 2. a conditioned liquid stream also with high power transfer (up to 25 kW) and 3. a conditioned air stream for limited power application to simulate a two indoor or outdoor climate (up to 5 kW). The measurements follow three use cases: 1. heat and moisture exchange in building services components, 2. measurement of humid air and air collectors, and 3. measurement of airflow for indoor conditioning. One focus of the unit will be to investigate novel system components based on open absorption and air-to-air systems that integrate heat pumps. This includes the use of solar radiation as a heat source with latent heat transport as humidity and other nanofluid-based methods to establish lower-loss transport principles. In addition, the device will enable experimental research on indoor comfort in the context of such novel systems as well as conventional building services systems. Finally, the device provides opportunities of data acquisition for data-driven prediction models generated by machine learning (ML) that represent complex thermodynamic processes for further simulation and planning in an agile manner following the paradigm of component-based ML.