Automated Testbed for Building Systems Components

建筑系统组件自动化测试台

• 批准号: 530641094
• 金额: --
• 依托单位: Gottfried Wilhelm Leibniz Universität Hannover
• 依托单位国家: 德国
• 项目类别: Major Research Instrumentation
• 财政年份: 2024
• 资助国家: 德国
• 起止时间: 2023-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/530641094?language=en
• 关键词: Automated; Testbed; Building; Systems; Components

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.

为了进行可再生能源的热过渡和整合，需要具有组件（热泵，热交换器，吸收剂，收集器等）的系统，以实现高效率，遵循低温原则，具有低温差异。为了达到这些效率，必须精确地知道组件的行为。因此，在实验室条件下的测量是此类系统研究和开发的主要先决条件。测试床的任务是实现对组件的精确度量。这提供了用于精确建模和仿真的数据，不仅是静态的，还提供了组件的动态行为。然后，这些模型通过测试台再次通过硬件中的模拟和验证来反馈新系统的研究。由于不足的稳定条件和缺乏控制选项，因此无法通过在实验室测试台外的原型和示威者的背景下进行测试来获取测量数据和模型验证该质量。测试台的特殊特征是可用三个介质流：1。具有高功率应用的条件空气流，可进行热量和水分转移（25 kW），2。一种条件液体流也具有高功率传输（高达25 kW）和3个。条件空气流以有限的功率应用，以模拟两个室内或室外气候（最高5 kW）。测量值遵循三种用例：1。建筑物服务组件中的热量和水分交换，2。测量潮湿的空气和空气收集器，以及3。室内调节气流的测量。该装置的一个重点是根据开放吸收和空气对空气泵的空气系统进行研究。这包括将太阳辐射用作带有潜热传输的热源作为湿度和其他基于纳米流体的方法来建立较低损坏的运输原理。此外，该设备将在此类新型系统以及常规的建筑服务系统的背景下对室内舒适度进行实验研究。最后，该设备为由机器学习（ML）生成的数据驱动的预测模型提供了数据获取的机会，该模型代表了基于组件的ML的范式，以敏捷方式以敏捷方式进行进一步的模拟和计划。