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Efficient combined heat and power generation system design method based on clustering analysis

A technology of cogeneration and cluster analysis, applied in design optimization/simulation, calculation, computer parts and other directions, which can solve problems such as different load requirements

Pending Publication Date: 2022-05-10
JIANGSU ELECTRIC POWER CO +1
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Problems solved by technology

However, different industrial and commercial users have different load requirements, so it is a difficult problem to choose the appropriate production system and operation plan for different users

Method used

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  • Efficient combined heat and power generation system design method based on clustering analysis
  • Efficient combined heat and power generation system design method based on clustering analysis
  • Efficient combined heat and power generation system design method based on clustering analysis

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] Such as figure 1 , figure 2 As shown, a high-efficiency cogeneration system design method based on cluster analysis includes the following steps:

[0052] S1. Apply big data to collect the user's electric heating load demand data, and clean the data;

[0053] S2. Apply K-means clustering method to perform cluster analysis on the load data;

[0054] S3. Confirm the power generation technology and scale of the combined heat and power system a...

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Abstract

The invention discloses an efficient combined heat and power generation system design method based on clustering analysis, and the method comprises the following steps: S1, collecting the electric heating load demand data of a user through big data, and cleaning the data; s2, performing clustering analysis on the load data by applying a K-means clustering mode; s3, confirming the power generation technology and scale of the combined heat and power generation system according to a clustering result; s4, making an operation strategy of the novel combined heat and power generation system; and S5, calculating an energy index and an economic index, and selecting an optimal operation strategy. According to the invention, the big data analysis method is applied to analyze the user thermoelectric load demand, the cogeneration system production technology and storage equipment are selected according to the user load characteristics, the optimal operation strategy is selected according to the economic index and the energy index, the energy utilization efficiency is improved, and the cost is reduced.

Description

technical field [0001] The invention belongs to the field of comprehensive energy systems, and in particular relates to a design method for a high-efficiency cogeneration system based on cluster analysis. Background technique [0002] The integrated energy system is developing rapidly at this stage, and its attention is increasing day by day. The heat and electricity load is the core part of the user load in the integrated energy system, so the combined heat and power system has always been a key issue in the research of the integrated energy system. [0003] In the context of dual carbon, improving energy utilization and reducing energy loss are the main issues in the energy field, and cogeneration systems are no exception. In many existing studies, the feasibility of combined heat and power has been proved, and methods such as heat storage and energy storage have been proposed to improve energy utilization. However, different industrial and commercial users have differen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62
CPCG06F30/27G06F18/23213
Inventor 于翔詹昕刘恒门张宸刘钰阮文青张炜杨文桢许学荣
Owner JIANGSU ELECTRIC POWER CO
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