Check patentability & draft patents in minutes with Patsnap Eureka AI!

Multi-working-condition optimization design method for turbine runner under multi-energy complementation condition

An optimized design, multi-working condition technology, applied in multi-objective optimization, design optimization/simulation, genetic law, etc., can solve the problem of difficult to meet the operation requirements of wind-solar-water multi-energy complementary power generation, and achieve the effect of avoiding excessive deformation

Pending Publication Date: 2022-05-13
XIAN UNIV OF TECH
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing runners can run stably in the high-load area. When the Francis turbine is under the condition of multi-energy complementarity, the existing runners are difficult to meet the operation requirements of wind, water and multi-energy complementary power generation.

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
  • Multi-working-condition optimization design method for turbine runner under multi-energy complementation condition
  • Multi-working-condition optimization design method for turbine runner under multi-energy complementation condition
  • Multi-working-condition optimization design method for turbine runner under multi-energy complementation condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The technical solutions of the present invention will be further described below with reference to the accompanying drawings and embodiments, which are to explain rather than limit the present invention.

[0032] The invention is a multi-condition optimization design method of a Francis turbine runner under the condition of multi-energy complementation of wind, light and water. The inlet placement angle and outlet placement angle are the geometric parameters to be optimized, and combined with the engineering practice, no blades with excessive geometric deformation will be generated, such as figure 1 shown, including the following steps:

[0033] Step 1: Parametric expression of runner blades

[0034] The parametric expression of the runner blade is the basis for the optimal design, and its function is to accurately describe the geometry of the runner blade with fewer design parameters, so that the new runner blade can be easily obtained by changing the design parameter...

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 multi-working-condition optimization design method of a water turbine runner under a multi-energy complementary condition, which comprises the following steps of: firstly, establishing an initial blade three-dimensional model, enabling a Bezier curve to express the geometric distribution characteristics of a setting angle of the model, modeling an obtained optimization design variable, and constraining the change range of the inlet and inlet setting angles of the obtained model; then, a sample space of optimization design is constructed according to the optimization design variables and the constraint variables, hydraulic performance numerical calculation is conducted on each mixed-flow water turbine runner model, the operation efficiency of the mixed-flow water turbine runner model under the ultra-low load working condition, the low load working condition and the rated load area is obtained, and an optimization objective function is established; and then constructing a response surface model between the constraint variable and the optimization objective function, enabling the response surface model to meet the precision requirement, performing global optimization on the response surface model to obtain an optimal solution set, and selecting a solution set with improved weighted average efficiency of the water turbine and the runner blade thereof from the optimal solution set, namely the water turbine runner after multi-working condition optimization under the multi-energy complementary condition.

Description

technical field [0001] The invention belongs to the field of optimization of hydraulic machinery rotating parts, in particular to a multi-working-condition optimization design method of a hydraulic turbine runner under the condition of multi-energy complementation. technical background [0002] At present, new energy power generation is developing rapidly, and new energy is changing towards a green and low-carbon direction. Wind power and photovoltaics, as renewable clean energy sources, are abundant and easy to obtain. As a new mode of energy transformation and utilization, wind-solar-water multi-energy complementary power generation is also one of the important directions of future energy development. In the wind-solar-water multi-energy complementary system, the strong randomness and flexibility of wind power and photovoltaic power generation require hydroelectric units as compensation output, resulting in frequent operation of hydroelectric units in partial working condi...

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): G06F30/17G06F30/27G06N3/12G06F111/04G06F111/06
CPCG06F30/17G06F30/27G06N3/126G06F2111/04G06F2111/06
Inventor 赵亚萍张欢郑小波秦笛舸郭鹏程张业田李志华
Owner XIAN UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More