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Towards an algorithmic synthesis of thermofluid systems
Optimization and Engineering ( IF 2.1 ) Pub Date : 2020-09-18 , DOI: 10.1007/s11081-020-09564-1
Jonas B. Weber , Michael Hartisch , Alexander D. Herbst , Ulf Lorenz

Individual technical components are usually well optimized. However, the design process of entire technical systems, especially in its early stages, is still dominated by human intuition and the practical experience of engineers. In this context, our vision is the widespread availability of software tools to support the human-driven design process with the help of modern mathematical methods. As a contribution to this, we consider a selected class of technical systems, so-called thermofluid systems. From a technical point of view, these systems comprise fluid distribution as well as superimposed heat transfer. Based on models for simple fluid systems as extensively studied in literature, we develop model extensions and algorithmic methods directed towards the optimized synthesis of thermofluid systems to a practical extent. Concerning fluid systems, we propose a Branch-and-Bound framework, exploiting problem-specific characteristics. This framework is then further analyzed using the application example of booster stations for high-rise buildings. In addition, we demonstrate the application of Quantified Programs to meet possible resilience requirements with respect to the systems generated. In order to model basic thermofluid systems, we extend the existing formulation for fluid systems by including heat transfer. Since this consideration alone is not able to deal with dynamic system behavior, we face this challenge separately by providing a more sophisticated representation dealing with the temporal couplings that result from storage components. For the considered case, we further show the advantages of this special continuous-time representation compared to the more common representation using discrete time intervals.



中文翻译:

迈向热流体系统的算法综合

通常对各个技术组件进行优化。但是,整个技术系统的设计过程(尤其是在早期阶段)仍然受人的直觉和工程师的实践经验支配。在这种情况下,我们的愿景是借助现代数学方法广泛支持软件支持人类驱动的设计过程。为此,我们考虑选择一类技术系统,即所谓的热流体系统。从技术角度来看,这些系统包括流体分配以及叠加的热传递。基于文献中广泛研究的简单流体系统模型,我们开发了模型扩展和算法方法,旨在在实际范围内优化热流体系统的合成。关于流体系统,我们提出了“分支边界”框架,该框架利用了特定于问题的特征。然后使用高层建筑增压站的应用示例进一步分析该框架。此外,我们演示了量化程序的应用,以满足有关生成系统的可能的弹性要求。为了对基本的热流体系统进行建模,我们通过包括传热来扩展流体系统的现有公式。由于仅凭这种考虑无法解决动态系统行为,因此我们将通过提供更复杂的表示法来处理存储组件导致的时间耦合,从而分别面对这一挑战。对于考虑的情况,

更新日期:2020-09-20
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