Air conditioning system simulation method based on feature recognition

A technology of air conditioning system and simulation method, applied in design optimization/simulation, heating and ventilation control system, heating and ventilation safety system, etc., can solve problems such as difficult promotion and low accuracy of simulation model

Active Publication Date: 2017-03-22
SOUTHEAST UNIV
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Problems solved by technology

However, the simulation model established by simplifying the theoretical model or based on the empirical formula is less accurate and difficult to promote in different systems. The simulation model based on the fi

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  • Air conditioning system simulation method based on feature recognition
  • Air conditioning system simulation method based on feature recognition
  • Air conditioning system simulation method based on feature recognition

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Embodiment Construction

[0118] The present invention will be further described below in conjunction with embodiment and accompanying drawing.

[0119] figure 1 The layout diagram of data measuring points set up to solve the model parameters of each component in the existing air conditioning system. According to the modeling principle based on parameter aggregation, to solve the characteristic parameters of chiller performance prediction model, surface cooler performance prediction model, cooling tower performance prediction model, water pump model and fluid transmission and distribution management group force model, it is necessary to combine relevant measured data, For this press figure 1 Arrangement of measuring points as shown: Temperature and pressure sensors are respectively arranged at the inlet and outlet of the compressor to detect the compressor suction temperature t in real time eo , Compressor suction pressure p e , Compressor discharge temperature t ci , Compressor discharge pressure ...

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Abstract

The invention provides an existing air conditioning system simulation method based on feature recognition. The method comprises the steps that according to actually-measured operating data of an existing air conditioning system, a least square method is adopted to obtain feature parameters of a water chilling unit performance prediction model, a surface air cooler performance prediction model, a cooling tower performance prediction model, a water pump model and a fluid conveying and distributing pipeline resistance model in the air conditioning system; according to the actual operating process of the air conditioning system, all the component models with the obtained model parameters are connected in a simulation mode; according to relevant input parameters of simulated conditions, the air conditioning system is subjected to simulation, and operating performance parameters of the air conditioning system are output. The air conditioning system simulation method combines theoretical analysis, actual testing and simulation, can well represent the performance change law of the air conditioning system under different operating conditions and can serve as a foundation for overall performance simulation and prediction of the air conditioning system.

Description

technical field [0001] The invention belongs to the field of air-conditioning system simulation and simulation, and relates to a method for simulation and simulation of an air-conditioning system based on feature recognition. Background technique [0002] The selection and design of the traditional air conditioning system is based on the best operation under the rated working conditions, and the measured data shows that more than 80% of the running time of the air conditioning unit is running under 60% of the partial load, so it is aimed at operating under the rated working conditions The best designed air-conditioning system requires energy-saving optimal operation of the air-conditioning system and corresponding control strategy research for different load changes, so as to avoid the reduction of system operating efficiency under partial load. Based on the change law of air-conditioning load, from the perspective of the best overall operation of the system, it is easier to...

Claims

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Application Information

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IPC IPC(8): G06F17/50F24F11/00
CPCF24F11/30F24F11/62F24F2110/00F24F2110/40F24F2140/20G06F30/20
Inventor 梁彩华黄婷婷凌善旭张小松
Owner SOUTHEAST UNIV
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