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ORCmKit: an open-source library for organic Rankine cycle modelling and analysis

机译:ORCmKit:一个用于有机朗肯循环建模和分析的开源库

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摘要

As for many other technologies, modelling and simulation of organic Rankine cycles (ORCs) are crucial for design, optimization and control purposes. However, model development is often time consuming and the scientific community lacks of open-access tools to study ORC systems. For these reasons, researchers from the universities of Liège and Ghent in Belgium gathered their knowledge and created “ORC modelling Kit” (ORCmKit), an open-source library dedicated to the steady-state simulation and analysis of organic Rankine cycles. Both component-level and cycle-level models are provided and different ORC architectures can be simulated. For each of the main component of ORC systems, different models are available with increasing complexity which allows a wide range of modelling possibilities. In order to remain general and accessible to as many people as possible, three widely used programming languages are covered within ORCmKit, i.e. Matlab, Python and EES (Engineering Equation Solver). Besides source codes, ORCmKit also includes calibration tools for empirical and semi-empirical models as well as a complete documentation for ease of use.
机译:与许多其他技术一样,有机朗肯循环(ORC)的建模和仿真对于设计,优化和控制目的至关重要。但是,模型开发通常很耗时,科学界缺乏研究ORC系统的开放访问工具。基于这些原因,比利时列日大学和根特大学的研究人员收集了他们的知识,并创建了“ ORC建模工具包”(ORCmKit),这是一个开放源代码库,致力于有机朗肯循环的稳态仿真和分析。提供了组件级和周期级模型,并且可以模拟不同的ORC架构。对于ORC系统的每个主要组件,都可以使用复杂程度不断提高的不同模型,这提供了广泛的建模可能性。为了保持通用性并使更多人可以访问,ORCmKit中涵盖了三种广泛使用的编程语言,即Matlab,Python和EES(工程方程求解器)。除了源代码,ORCmKit还包括用于经验和半经验模型的校准工具,以及易于使用的完整文档。

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