A hybrid heliostat field arrangement method based on genetic algorithm optimization

A technology of genetic algorithm and layout method is applied in the field of mirror field optimization of tower solar thermal power generation system, which can solve the problems of high overall investment and low comprehensive efficiency, and achieve the effect of uniform layout and good layout effect.

Inactive Publication Date: 2019-05-28
POWERCHINA XIBEI ENG
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the tower solar thermal power generation system, the heliostats in different areas have different sub-item efficiency distribution due to the different relative positions with the heat absorber and the sun, the overall efficiency of the whole field is low, and the overall investment is high

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
  • A hybrid heliostat field arrangement method based on genetic algorithm optimization
  • A hybrid heliostat field arrangement method based on genetic algorithm optimization
  • A hybrid heliostat field arrangement method based on genetic algorithm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] according to Figure 1-6 A hybrid heliostat field layout method based on genetic algorithm optimization is shown, including the following steps

[0056] Step 1: Calculate the arrangement of heliostats in the near-field area

[0057] The improved circular arrangement method is used to calculate the arrangement of heliostats in the near-field area;

[0058] Step 2: Calculation of the arrangement of heliostats in the far field area

[0059] The bionic arrangement method is used to calculate the arrangement of heliostats in the far field area;

[0060] Step 3: Determine the parameters required for the mirror field combination

[0061] According to the determined arrangement method, determine the parameters required for the mirror field combination; the parameters are different according to different arrangement methods.

[0062] In actual use, the parameters determined according to different arrangement methods are different. Including radial spacing, phase spacing, pa...

Embodiment 2

[0130] In this example, the actual situation of a 50MW tower solar thermal power station is taken as the boundary condition, and several mainstream mirror field arrangements are used for comparison. The relevant experimental results and parameters are listed in Table 1:

[0131] Table 1 Comparison table of parameters of each lens field

[0132]

[0133] The above experiment uses the same experimental software, based on the accuracy of the actual heliostat and the typical meteorological year data obtained from the measured data in a certain place for simulation. The final experimental results prove that, through the combination of various mirror fields and the optimization of various parameters, the present invention can obtain a better mirror field arrangement scheme, thereby obtaining corresponding economic benefits.

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 belongs to the technical field of mirror field optimization of tower type solar thermal power generation systems. The invention particularly relates to a hybrid heliostat field arrangement method based on genetic algorithm optimization. According to the invention, arranging and calculating the heliostats in the near-field area; calculating the arrangement of heliostats in a far fieldarea; determining parameters required by the mirror field combination; the method comprises five steps of carrying out optimization calculation and integral heliostat field arrangement on the whole field arrangement, selecting different arrangement methods according to the distribution of each sub-item efficiency in different areas in the heliostat field, adjusting on the basis of standard annular arrangement, and enabling the near field area to carry out heliostat arrangement as much as possible while meeting the normal operation boundary condition of the heliostat field. According to the invention, a bionic arrangement method is selected in a far-field area, and parameter adjustment is carried out, so that the arrangement of the part is more uniform, and a better arrangement effect is achieved. According to the invention, a genetic algorithm is adopted to optimize a plurality of parameters such as arrangement parameters of an internal field and an external field and a boundary linebetween two areas, and an optimal mirror field arrangement scheme is obtained.

Description

technical field [0001] The invention belongs to the technical field of mirror field optimization of a tower type solar thermal power generation system. In particular, it relates to a hybrid heliostat field layout method based on genetic algorithm optimization. Background technique [0002] Solar thermal utilization technology is one of the technologies with a high degree of commercialization and popularization and application in the field of renewable energy technology. The tower solar thermal power generation system is an important direction of solar thermal utilization. In the tower solar thermal power generation system, the heliostats in different areas have different sub-item efficiency distributions due to their different relative positions with the heat absorber and the sun. The overall efficiency of the whole field is low, and the overall investment is high. Contents of the invention [0003] The purpose of the present invention is to provide a hybrid heliostat fie...

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): G06Q10/04G06Q50/06G06N3/12
Inventor 周治肖斌彭怀午王晓文龙陈鹏飞张俊峰
Owner POWERCHINA XIBEI ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap