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.

对于可再生能源的热转换和整合，需要具有组件（热泵、热交换器、吸收器、集热器等）的系统，以遵循低排放原则实现低温差的高效率。为了实现这些效率，必须精确了解组件的行为。因此，实验室条件下的测量是研究和开发此类系统的核心先决条件。测试台的任务是实现对组件的精确测量。这为组件的静态行为和动态行为的精确建模和仿真提供了数据。然后，这些模型再次使用测试台，通过硬件在环仿真和验证反馈到新颖系统的研究中。由于条件不够稳定且缺乏控制选项，无法通过在实验室测试台之外的原型和演示器中进行测试来获取测量数据并验证这种质量。该测试台的特点是提供三种介质流：1. 具有高功率应用的经调节的空气流，用于热和湿气传递（高达 25 kW）；2. 具有高功率传递的经调节的液体流（高达 25 kW）；3. 具有有限功率应用的经调节的空气流，以模拟两种室内或室外气候（高达 5 kW）。测量遵循三个用例：1. 建筑服务组件中的热量和湿气交换，2. 潮湿空气和空气收集器的测量，以及 3. 室内调节气流的测量。该部门的重点之一是研究基于集成热泵的开放式吸收和空气对空气系统的新型系统组件。这包括使用太阳辐射作为热源，以潜热传输作为湿度，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，该设备还将能够在此类新颖系统以及传统建筑服务系统的背景下进行室内舒适度的实验研究。最后，该设备为机器学习 (ML) 生成的数据驱动预测模型提供数据采集机会，这些模型代表复杂的热力学过程，以便遵循基于组件的 ML 范式以敏捷的方式进一步模拟和规划。