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Optimized design method for mult-heat-source annular pipe network

A ring-shaped pipe network and optimization design technology, applied in computing, special data processing applications, instruments, etc., can solve the problem that the optimization model does not introduce penalty correction items, does not give genetic algorithm optimization methods, and does not consider the annual operating costs of heating networks and changes in pipe network accessibility

Inactive Publication Date: 2014-04-30
HENAN POLYTECHNIC UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this technical measure, the optimization model of the heating network pipe diameter does not take into account the annual operating costs of the heating network under different operating conditions and the changes in the accessibility of the pipe network. Issues such as definite genetic algorithm optimization method and definite hydraulic calculation method

Method used

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  • Optimized design method for mult-heat-source annular pipe network
  • Optimized design method for mult-heat-source annular pipe network
  • Optimized design method for mult-heat-source annular pipe network

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Embodiment Construction

[0107] The following describes the operation steps of the embodiment of the optimization design method of the present invention on the computer according to the flowchart of FIG. 3.

[0108] Step 1: Start;

[0109] Step 2: Enter the initial population and take the genetic generation number T=1;

[0110] Step 3: Select the first individual in the group of size M as the training target, and set i=1;

[0111] Step 4: Calculate the fitness function value of individual i using the accessibility analysis method and the designed optimization model;

[0112] Step 5: Determine whether i is greater than or equal to M, if yes, proceed to the next step; if not, continue to select the next body, and set i=i+1, and calculate its fitness function value using the same method in step 4;

[0113] Through steps 3, 4, and 5, the fitness function values ​​of all M individuals in the initial population can be calculated;

[0114] Step 6: Use the fitness ratio method to select the fitness function values ​​of M...

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Abstract

The invention discloses an optimized design method for a mult-heat-source annular pipe network. The method includes building a multi-heat-source annular pipe network optimization model and adopting a genetic algorithm to solve the optimization model, to be precise, wherein the multi-heat-source annular pipe network optimization model takes annular equivalent cost of the pipe network as a target function and takes parameters like pipe diameter of the pipe network and lift of a circulating water pump as optimization variables, and optimization of the parameters of the pipe network is realized by adopting the genetic algorithm. By the optimized design method, accessibility of the designed multi-heat-source annular pipe network under different running conditions can be met, and the pipe network can be ensured to have high economic benefit.

Description

Technical field [0001] The invention relates to an optimized design method for a central heating pipe network, in particular to an optimized design method for a multi-heat source ring-shaped central heating pipe network to be built. Background technique [0002] The multi-heat-source ring-shaped pipe network can reasonably adjust the number and sequence of the heat source operation according to the changing law of the heat load in the heating season, so as to realize the efficient and energy-saving operation of the heating system. That is, under the condition of meeting the load requirements, priority is given to heat sources with high operating efficiency and low cost to shorten the operating time of low-efficiency and high-cost heat sources in the heating season, thereby reducing operating costs and achieving energy saving. According to the operating conditions of the heat source, the normal operating conditions of the multi-heat source looped pipe network can be divided into b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 徐文忠张丹梁庆张永胜韩欣欣
Owner HENAN POLYTECHNIC UNIV
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