An air source heat pump multi-objective optimization design method integrating a BP neural network and a multi-parent genetic algorithm

A BP neural network, multi-objective optimization technology, applied in biological neural network models, computer-aided design, neural architecture and other directions, can solve the problems of long time, low precision, single optimization target, etc., to reduce the time and cost of transformation, The effect of low heat pump cost and high system efficiency

Pending Publication Date: 2019-04-09
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to overcome the problems of low precision, long time consumption and single optimization target of the existing heat pump model, the present invention provides a BP neural network assisted model with high precision and can quickly realize multi-objective optimization of COP and cost of the system Multi-objective optimization design method for air source heat pump based on multi-parent genetic algorithm

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  • An air source heat pump multi-objective optimization design method integrating a BP neural network and a multi-parent genetic algorithm
  • An air source heat pump multi-objective optimization design method integrating a BP neural network and a multi-parent genetic algorithm
  • An air source heat pump multi-objective optimization design method integrating a BP neural network and a multi-parent genetic algorithm

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] refer to figure 1 and figure 2 , a multi-objective optimization design method for air source heat pumps that combines BP neural network and multi-parent genetic algorithm, including the following steps:

[0036] Step 1. Parameter selection and data processing according to design requirements

[0037] Select the heat transfer temperature difference T of the air cooler gc , Evaporator heat transfer temperature difference T ev , air cooler pressure p gc As input variables, the system COP and cost are used as output variables, and the input and output variables are normalized so that they are between [0,1]. The training sample data can come from literature or measured in experiments. Normalization The unification formula is as follows:

[0038]

[0039] Where k is the normalized value, x is the normalized data, and x min 、x max are the minimum and maximu...

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Abstract

The invention discloses an air source heat pump multi-objective optimization design method integrating a BP neural network and a multi-parent genetic algorithm. The air source heat pump multi-objective optimization design method comprises the following steps that 1, performing parameter selection and data processing according to design requirements; Step 2, creating, training and testing a neuralnetwork; Step 3, performing multi-objective optimization on the air source heat pump by using a multi-parent genetic algorithm based on the trained neural network; And step 4, obtaining the parametervalue of the input variable of the optimal solution according to the Pareto solution through the above steps, thereby obtaining the design parameter value of each component, and feeding back the design parameter value to a designer. The BP neural network assisted multi-parent genetic algorithm air source heat pump multi-target optimization design method is high in precision and capable of rapidlyachieving multi-target optimization of COP and cost of a system.

Description

technical field [0001] The invention belongs to an air source heat pump and relates to a multi-objective optimal design method for an air source heat pump. Background technique [0002] The air source heat pump mainly absorbs the heat in the low-temperature heat source as the heat energy source, and drives the compressor to run through a small amount of electric energy to release the heat in the air absorbed by the evaporator to the heating object through the heat exchanger. An energy-saving device that flows air from a low-level heat source to a high-level heat source. Air source heat pumps are widely used in today's life. On the one hand, they bring benefits to people's lives. On the other hand, they have made great contributions to energy conservation and environmental protection because they do not pollute the environment. [0003] The energy efficiency ratio COP and cost under working conditions are important parameters to measure the performance of air source heat pum...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06F2119/08G06F30/20G06N3/045
Inventor 陈宁徐英杰许亮峰蒋宁
Owner ZHEJIANG UNIV OF TECH
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