Method for predicting output power of organic Rankine cycle on basis of BP neural network

A BP neural network and Rankine cycle technology, applied in the field of organic Rankine cycle output power prediction, can solve problems such as difficulty in accurately predicting organic Rankine cycle output power, improve work efficiency and prediction accuracy, and avoid operating mechanism research. Effect

Inactive Publication Date: 2018-09-21
BEIJING UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing thermodynamic model is difficult to accurately predict the output power of the organic rankine cycle, and propose a method for predicting the output power of the organic rankine cycle based on BP neural network

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  • Method for predicting output power of organic Rankine cycle on basis of BP neural network

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Embodiment Construction

[0027] The present invention provides a method for predicting the output power of the Organic Rankine Cycle based on the BP neural network. The present invention will be described in detail below in conjunction with the embodiment of the waste heat recovery system of the Organic Rankine Cycle for the vehicle internal combustion engine.

[0028] The exhaust waste heat of a certain vehicle diesel engine is used as the heat source of the organic Rankine cycle. The organic working medium absorbs the exhaust heat of the diesel engine in the evaporator and becomes saturated or superheated steam, and then enters the expander to push it to do work. The exhaust steam after work After entering the condenser, it is condensed into a saturated liquid state and returned to the liquid storage tank. The working medium pump pumps the working medium to the evaporator. After that, the organic Rankine cycle works in circulation.

[0029] (1) Collection of organic Rankine cycle operation data

[0...

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Abstract

The invention relates to a method for predicting output power of organic Rankine cycle on the basis of a BP neural network and belongs to the field of thermal power engineering. The method comprises the following steps: acquiring multiple groups of organic Rankine cycle operation data, wherein each group comprises the following parameters: the volume flow of an organic working medium, the torque of an expansion machine, the inlet pressure of the expansion machine, the outlet pressure of the expansion machine, the inlet temperature of the expansion machine, the outlet temperature of a condenser, the outlet pressure of a working medium pump and the output power of the expansion machine; performing normalization processing on the acquired data; establishing the BP neural network; training andtesting the neural network; and performing inverse normalization processing on the output power of the expansion machine, namely the output data of the neural network, in the test data. Compared withthe traditional thermomechanical analysis method, the constructed neural network model can predict the output power of the organic Rankine cycle rapidly and accurately, can avoid research on the operation mechanism of each part of the system, can obviously improve the working efficiency and the prediction precision and provides reliable guidance for optimization of the organic Rankine cycle.

Description

technical field [0001] The invention relates to a method for predicting the output power of an organic Rankine cycle based on a BP neural network, belonging to the field of thermal energy engineering. Background technique [0002] In the process of rapid industrialization in my country, there is a large amount of waste heat energy, such as: waste heat of flue gas, waste heat of cooling medium, waste heat of waste steam and waste water, waste heat of high-temperature products and slag, heat of chemical reaction, waste heat of combustible waste gas and waste, etc., in addition to In addition to realizing efficient utilization of these waste heat energy through technological transformation and upgrading, waste heat recovery and utilization is an important way to improve economy and save energy. [0003] Among the many waste heat utilization technologies, the organic Rankine cycle is widely used in waste heat resources above 70°C due to its advantages of high efficiency, simple s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/084
Inventor 杨富斌张红光侯孝臣田亚明
Owner BEIJING UNIV OF TECH
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