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Steady-state hybrid modeling of economized screw water chillers using polynomial neural network compressor model

机译:基于多项式神经网络压缩机模型的节能螺杆式冷水机稳态混合建模

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摘要

This paper presents steady-state hybrid modeling and analysis of water chillers with economized screw compressors using intermediate gas injection. The hybrid chiller model consists of the polynomial neural network compressor model and other component models grounded on the first principles. The polynomial neural network compressor model works for all full-load and part-load conditions, both economized and non-economized modes. Good agreement between the predicted and measured performance of two compressors from the manufacturer is reached ranging from full-load to unload conditions. The hybrid chiller model predictions on the performance of two chillers agree with the test data within ±5% errors. Based on the validated model, further investigation on the optimal switch points between the economized and non-economized mode is conducted, which can be used to precisely improve the part-load performance of chillers. A simple linear correlation for switching the economized and non-economized mode is proposed as well.
机译:本文介绍了采用中间气体注入的经济型螺杆压缩机冷水机组的稳态混合建模和分析。混合冷却器模型由多项式神经网络压缩机模型和其他基于第一原理的组件模型组成。多项式神经网络压缩器模型适用于所有满负荷和部分负荷条件,包括经济模式和非经济模式。从满负荷到空载条件,制造商生产的两台压缩机的预测性能与实测性能之间达成了良好的一致性。关于两个冷却器性能的混合冷却器模型预测与测试数据一致,误差在±5%以内。在验证的模型的基础上,进一步研究了节能模式和非节能模式之间的最佳切换点,可用于精确地提高冷水机的部分负荷性能。还提出了一种用于切换节能和非节能模式的简单线性相关。

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