Flexible Inverse Design of Carnot-Batteries with Fluid Mixtures: A combined theoretical-experimental approach

流体混合物卡诺电池的灵活逆向设计：理论与实验相结合的方法

• 批准号: 525971077
• 负责人: Professor Dr. Burak Atakan
• 金额: --
• 依托单位: Lehrstuhl für Thermodynamik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/525971077?language=en
• 关键词: Flexible; Inverse; Design; Carnot; Batteries

Carnot batteries (CBs) store electrical energy as thermal exergy. Along discharging it is aimed to restore the electrical energy. For high efficiencies each part of the system must approach thermodynamic reversibility. Beside efficiency, also costs and further criteria will be important in future energy markets. In this project an inverse design of CBs using multi-component mixtures will be investigated and mathematically optimized, using detailed models for machines, heat exchangers, storages, and fluids. Selected points will be investigated experimentally, aiming to prove the validity of the models and their predictions. The project heavily relies on co-operations within the priority program. Criteria for the inverse design will come from projects from energy systems analysis, and detailed features and correlations of the parts will be obtained from thermodynamics, heat transfer and termo-fluid machine projects. The main hypothesis is that relatively simple cycles with co-optimized working fluid mixtures, and working conditions lead to a high enough degree in flexibility for an inverse design approach and meet the criteria formulated from energy systems analysis, like round trip efficiency per investment costs and given storage to power ratio for different temporal application-profiles, to meet the market needs and to evaluate the limits of Carnot batteries. The second main hypothesis is that actual thermodynamic models of CBs neglect too many details, like local properties, fluid dependent efficiencies, time dependencies, and the coupling effects so that their predictions suffer from large uncertainties, especially due to a lacking comparison with experiments. Here, it is expected that the results of this project will allow to assess the level of detail needed in models for good accuracy predictions and reliable inverse design. At the end of this funding period, it is expected to have a CB model, which can be used for inverse engineering, and is experimentally validated at selected operation points.

卡诺电池（CBs）以热能的形式储存电能。随着放电，其目的是恢复电能。为了提高效率，系统的每个部分必须接近热力学可逆性。在未来的能源市场中，除了效率之外，成本和其他标准也很重要。在本项目中，将使用机器、热交换器、存储和流体的详细模型，研究使用多组分混合物的CBs逆设计并进行数学优化。选定的点将进行实验调查，旨在证明模型及其预测的有效性。该项目在很大程度上依赖于优先计划内的合作。逆向设计的准则将来自能源系统分析项目，零件的详细特征和相关性将来自热力学、传热和热流体机械项目。主要假设是，相对简单的循环与共同优化的工作流体混合物，以及工作条件导致了足够高的灵活性，以实现逆向设计方法，并满足能源系统分析制定的标准，如每投资成本的往返效率和不同时间应用概况的给定存储功率比，以满足市场需求并评估卡诺电池的极限。第二个主要假设是，实际的热力学模型忽略了太多的细节，如局部性质、流体依赖效率、时间依赖和耦合效应，因此它们的预测存在很大的不确定性，特别是由于缺乏与实验的比较。在这里，预计这个项目的结果将允许评估模型所需的细节水平，以获得良好的精度预测和可靠的逆设计。在此资助期结束时，预计将有一个可用于逆向工程的CB模型，并在选定的操作点进行实验验证。