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Simulation model of the heating and air conditioning system of dc electric trains

机译:直流电车加热空调系统的仿真模型

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Most of the territory of the Russian Federation is located in the zone of long-term exposure to negative ambient temperatures. In this regard, in the suburban traffic on the railways of the Russian Federation, a significant proportion of the electric power falls on the operation of heating and air conditioning systems. Nowadays, Russia and the world are developing energy-saving methods and tools to reduce the energy consumption of auxiliary needs of electric trains. In this paper, the method of constructing simulation models in the MATLAB Simulink software was used to build an energy-saving heating and air conditioning system, since this method allows studying various options for building the studied systems with lower financial and labor costs in comparison with the experimental method. The correct selection and display of the parameters of the electric train interior will allow achieving the optimal values of energy consumption for heating and air conditioning of the electric trains. In order to verify its adequacy, the simulation model includes standard values of electric energy consumption for heating and conditioning electric trains for various sections and operating conditions, which were obtained earlier during the correlation and regression analysis of data from electric train parameter recorders. The results of the study showed the adequacy of the application of the developed simulation model for organizing the control of electric power consumption for heating and air conditioning of DC electric trains.
机译:俄罗斯联邦的大部分领土都位于长期处于负环境温度下的地区。在这方面,在俄罗斯联邦铁路上的郊区交通中,很大一部分电力落在供暖和空调系统的运行上。如今,俄罗斯和全世界都在开发节能方法和工具,以减少电动火车辅助需求的能耗。在本文中,使用MATLAB Simulink软件中的构建仿真模型的方法来构建节能的供暖和空调系统,因为这种方法可以为构建所研究系统提供多种选择,而与之相比,该方法具有较低的财务和人工成本实验方法。正确选择和显示电动火车内部的参数将允许实现用于电动火车的加热和空调的能量消耗的最佳值。为了验证其适当性,该仿真模型包括用于加热和调节各种区间和运行条件的电动火车的电能消耗的标准值,这些标准值是在对电动火车参数记录器的数据进行相关性和回归分析时较早获得的。研究结果表明,将开发的仿真模型用于组织对直流电车的加热和空调的电力消耗进行控制的应用是足够的。

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