The optimization of novel aircraft Environmental Control System (ECS) architectures necessitates the support of complex numerical simulations. Within the framework of the more electric aircraft approach, a promising strategy to enhance the overall efficiency of traditional ECS involves the incorporation of vapor compression systems (VCSs), which offer superior cooling efficiency compared to conventional air cycle machines. In this study, a Modelica/Dymola library for simulating VCSs has been developed, with a focused emphasis on three critical attributes: numerical robustness, accuracy, and minimal computational time. To successfully integrate and simulate the VCS model into an entire ECS model, these characteristics are essential. An appropriate tradeoff has been achieved between the computational cost of the VCS model and its ability to accurately predict the system’s physical behavior (the heat exchangers have been modeled using a partial dynamic approach to optimize both robustness and computational efficiency). The VCS model has undergone thorough testing and has been seamlessly integrated into a representative ECS model to replicate a typical commercial airplane flight mission. A comparative analysis of the advantages offered by a variable-speed compressor versus a fixed-speed one has been conducted, revealing potential energy savings of up to 40%. Furthermore, the incorporation of an internal heat exchanger has led to additional energy savings exceeding 5%.

新型飞机环境控制系统（ECS）架构的优化需要复杂数值模拟的支持。在更加电动化飞机方法的框架内，提高传统 ECS 整体效率的一个有前景的策略是采用蒸汽压缩系统 (VCS)，与传统空气循环机相比，该系统可提供卓越的冷却效率。在这项研究中，开发了一个用于模拟 VCS 的 Modelica/Dymola 库，重点关注三个关键属性：数值鲁棒性、准确性和最短计算时间。为了成功地将 VCS 模型集成并模拟到整个 ECS 模型中，这些特性至关重要。在 VCS 模型的计算成本与其准确预测系统物理行为的能力之间实现了适当的权衡（已使用部分动态方法对热交换器进行建模，以优化鲁棒性和计算效率）。 VCS 模型经过了全面的测试，并已无缝集成到代表性的 ECS 模型中，以复制典型的商用飞机飞行任务。对变速压缩机与定速压缩机的优势进行了比较分析，结果表明，其潜在的节能潜力高达 40%。此外，采用内部热交换器可额外节省超过 5% 的能源。