Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Self-adaptive operation-maintenance and parameter adjusting method based on energy supply system

An energy supply system and parameter adjustment technology, applied in data processing applications, instruments, calculations, etc., can solve problems such as inadequate management, high energy consumption of the energy supply system, and inability to optimize the supply system in real time

Active Publication Date: 2016-10-26
武汉企鹅能源数据有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing energy supply system has high energy consumption, inadequate management, and cannot use existing data to adjust the operation strategy of the supply system and optimize parameters in real time, thus failing to achieve effective real-time control and energy saving goals

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaptive operation-maintenance and parameter adjusting method based on energy supply system
  • Self-adaptive operation-maintenance and parameter adjusting method based on energy supply system
  • Self-adaptive operation-maintenance and parameter adjusting method based on energy supply system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] A self-adaptive operation and maintenance and parameter adjustment method based on an energy supply system, which includes the following steps:

[0048] S1. Establish a regression model for the optimal energy consumption of the hot water system.

[0049] S2. Optimize and adjust each daily average parameter value in the hot water system according to the regression model of the optimal hot water system energy consumption. The daily average parameter value includes electric energy consumption, water energy consumption, water level, water temperature, ambient temperature, and return water temperature.

[0050] Optionally, the regression model of the optimal hot water system energy consumption is as follows:

[0051] energy.elc=122.7399+12.1925energy.wat+4.4514temp.wat-1.3613temp.env-8.2384temp.ret, where energy.elc is the daily average electricity consumption, energy.wat is the daily average water consumption, and temp.wat is The daily average water temperature, temp.env ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a self-adaptive operation-maintenance and parameter adjusting method based on an energy supply system. The self-adaptive operation-maintenance and parameter adjusting method comprises the steps of: S1, establishing a regression model of optimal hot water system energy consumption; S2, and carrying out optimization adjustment on each daily mean parameter value of a hot water system according to the regression model of the optimal hot water system energy consumption, wherein the daily mean parameter values include electric energy consumption, water energy consumption, water level, water temperature, ambient temperature and return water temperature. The self-adaptive operation-maintenance and parameter adjusting method can reduce the water supplementary amount, the return water temperature and water tank temperature as much as possible on the premise of satisfying use demand of users in self-adaptive adjustment, the ambient temperature is an important factor regarded as force majeure, but a controllable unit can be used for heating when the ambient temperature is high, thus the important factor, namely, the ambient temperature can be utilized reasonably. Therefore, the parameters of the hot water system can be optimized in real time, and the energy conservation purpose is achieved.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to an adaptive operation and maintenance and parameter adjustment method based on an energy supply system. Background technique [0002] The existing energy supply system has high energy consumption, inadequate management, and cannot use existing data to adjust the operation strategy of the supply system and optimize parameters in real time, thus failing to achieve effective real-time control and energy saving. Contents of the invention [0003] In view of this, the present invention takes the hot water system as an example to expand and describe the energy supply system of the superordinate concept. [0004] A self-adaptive operation and maintenance and parameter adjustment method based on an energy supply system, which includes the following steps: [0005] S1. Establish a regression model for the optimal energy consumption of the hot water system; [0006] S2. Optimize and ad...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 林海许国良许飞易文凯肖子琦
Owner 武汉企鹅能源数据有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products