某通用客车部分负荷工况下多机组基线空调系统动态建模及性能预测

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
E. Afrasiabian, R. Douglas, R. Best
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引用次数: 3

摘要

建立了通用客车多机组空调系统的动力学模型,研究了不同控制策略对系统性能和客舱舒适度的影响。在本研究中,考虑了部分负荷条件,其中采用适当的策略来控制多单元系统是很重要的。利用MATLAB (R2019a)中的Simulink和Simscape工具箱,将冷却系统与座舱子模型集成,建立实时模型。冷却系统由两个独立控制的单元组成,基于蒸汽压缩循环(VCC)。机舱采用湿空气网络建模,并与冷却系统相结合,通过蒸发器与制冷剂交换热量。此外,显负荷和潜在负荷通过热网络纳入机舱。采用六种不同的策略,采用不同的标准,研究了部分负荷条件下的平均功率和COP(性能系数)。舒适度是根据预测平均投票(PMV)和预测不满意百分比(PPD)指数得出的。结果表明,多机组交流系统的控制策略与其性能之间存在联系。结果表明,根据所采用的舒适度与系统能源需求之间的权衡策略,6种策略中有5种可能被选择。通过这种方式,本文所介绍的数值方法与所提出的研究结果相结合,为基于能耗和热舒适度的舱内热管理决策提供了良好的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Modelling and Performance Prediction of a Multi-unit Baseline Air Conditioning System for a Generic Bus under Part-Load Conditions
A dynamic model of a multi-unit air conditioning system in a generic bus was developed to investigate different control strategies on the system performance and the cabin comfort level. In this study, a part-load condition was considered, where adopting a proper strategy for governing a multi-unit system is important. Simulink and Simscape toolbox from MATLAB (R2019a) were used to build up the real-time model by integrating a cooling system with a cabin sub-model. The cooling system consists of two independently controlled units, based on a Vapour Compression Cycle (VCC). The cabin is modelled using a moisture air network and is coupled with the cooling system to exchange heat with the refrigerant through the evaporators. Moreover, the sensible and latent loads are incorporated into the cabin by a thermal network. Six different strategies were implemented using different criteria, to investigate the average power and COP (Coefficient of Performance) under a part-load condition. The comfort level was obtained in terms of the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indices. Results are suggestive of a link between the implemented control strategy of a multi-unit AC system and its performance. Results showed that five out of the six proposed strategies might be chosen, depending on the adopted trade-off policy between the comfort level and the system energy demand. In this way, the numerical approach introduced here along with the combination of the presented findings, provide a good support for the decision-making on thermal management inside the cabin, based on the energy consumption and the thermal comfort level.
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来源期刊
SAE International Journal of Commercial Vehicles
SAE International Journal of Commercial Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.80
自引率
0.00%
发文量
25
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