CN113342314A - Supercritical carbon dioxide working medium axial flow type turbine design system and method - Google Patents

Supercritical carbon dioxide working medium axial flow type turbine design system and method Download PDF

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CN113342314A
CN113342314A CN202110595394.XA CN202110595394A CN113342314A CN 113342314 A CN113342314 A CN 113342314A CN 202110595394 A CN202110595394 A CN 202110595394A CN 113342314 A CN113342314 A CN 113342314A
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邓清华
迟志男
李军
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Xian Jiaotong University
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Abstract

The invention discloses a supercritical carbon dioxide working medium axial flow turbine design system and a supercritical carbon dioxide working medium axial flow turbine design method, wherein the system comprises a MULTIALL program, a thermal design platform and a user interface, the output end of the MULTIALL program is in signal connection with the input end of the thermal design platform, the output end of the thermal design platform is in signal connection with the input end of the user interface, the thermal design platform comprises a thermal calculation module, a physical property calling module, a loss model module and an optimization algorithm module, and the thermal design platform is built on the basis of the MULTIALL program by adopting the Fortran language. According to the supercritical carbon dioxide working medium axial flow turbine design system and method, the output end of a MULTIALL program is in signal connection with the input end of a thermal design platform, and the output end of the thermal design platform is in signal connection with the input end of a user interface, so that a result meeting a termination condition can be obtained, and reference can be provided for designing supercritical carbon dioxide axial flow turbines with different powers.

Description

Supercritical carbon dioxide working medium axial flow type turbine design system and method
Technical Field
The invention relates to the technical field of design software, in particular to a system and a method for designing an axial flow turbine with a supercritical carbon dioxide working medium.
Background
At present, an axial flow turbine design system mainly uses a steam working medium, Refprop physical properties are introduced into a design program by the software, and a KO loss model is added to serve as an iteration standard. Meanwhile, the existing turbine design software mainly utilizes a design method of speed ratio and reaction degree, and has more parameters without utilizing optimization design. The software only controls two initial variables by using a design method of a flow coefficient and a load coefficient, and is beneficial to optimizing an ensemble genetic algorithm.
With the improvement and development of the technological level, the demand of users on a high-level quality supercritical carbon dioxide working medium axial flow turbine design system is increasing day by day, and the existing supercritical carbon dioxide working medium axial flow turbine design system also has the problem that reference cannot be provided for designing supercritical carbon dioxide axial flow turbines with different powers, so that a supercritical carbon dioxide working medium axial flow turbine design system and a supercritical carbon dioxide working medium axial flow turbine design method are provided to solve the problems.
A thermodynamic design platform is built on the basis of a MULTILL program by adopting a Fortran language, the thermodynamic design platform comprises a thermodynamic calculation module, a physical property calling module, a loss model module and an optimization algorithm module, and a user interface is designed on the basis of the modules to realize man-machine interaction, so that the thermodynamic design platform can provide reference for designing supercritical carbon dioxide axial flow turbines with different powers.
Disclosure of Invention
In order to achieve the purpose of providing reference for designing supercritical carbon dioxide axial flow turbines with different powers, the invention provides the following technical scheme: the supercritical carbon dioxide working medium axial flow type turbine design system comprises a MULTIALL program, a thermal design platform and a user interface, wherein the output end of the MULTIALL program is in signal connection with the input end of the thermal design platform, and the output end of the thermal design platform is in signal connection with the input end of the user interface.
As optimization, the thermal design platform comprises a thermal calculation module, a physical property calling module, a loss model module and an optimization algorithm module, and is built on the basis of a MULTIALL program by adopting a Fortran language.
As an optimization, the thermal designIn the process, the ideal enthalpy drop deltah of the work done by the turbine can be obtained after the parameters of the inlet and the outlet are knownstotalSecondly, the enthalpy drop delta h of each stage can be obtained according to the initial total static efficiency and the stage enthalpy drop average distribution methodsSubsequently, the bucket circumferential speed U may be deduced from the load factor definition, and then
Figure BDA0003090810100000011
Deducing the design point radius RhubEnabling it to calculate the peripheral speed and the radius.
For optimization, regarding the concurrent area of the fluid as a ring, an expression of the concurrent area can be obtained:
Figure BDA0003090810100000021
secondly, the coordinates of the design points of the inlet and the outlet of the hub and the blade cascade of the blade top can be obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction, and then the coordinates of the design points are obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction
Figure BDA0003090810100000022
The blade height of the leading edge or the trailing edge of the blade can be calculated, and finally the average value of the blade height and the trailing edge is the blade height of the blade cascade.
As an optimization, when the axial chord length is known, to obtain an estimated value of the number of blades, it is necessary to obtain a blade cascade pitch s, and the relative pitch of the blade cascade is calculated by using a Zweifel coefficient. The blade number calculation method is as follows:
Figure BDA0003090810100000023
and the relative blade pitch can be found:
Figure BDA0003090810100000024
the pitch can be determined from the given axial chord length and then
Figure BDA0003090810100000025
And (5) obtaining the number of the blades.
As optimization, the beginning part of the physical module selects the working medium to be calculated, the working medium file name is stored in the array hf, and the calling of the physical subprogram generally adopts a FLASH subprogram, namely under the condition that any two values of the pressure, the temperature, the enthalpy, the entropy and the density of the working medium are known, the rest physical parameters can be obtained.
As optimization, the thermodynamic design platform is added with a loss model module to combine with the thermodynamic design module to test the given initial total static efficiency, and a 0.01% error is given, so that an experimenter can judge whether to carry out iterative calculation on the total static efficiency assignment again.
A supercritical carbon dioxide working medium axial flow turbine design method comprises the following steps:
s1: a thermodynamic design platform is built on the basis of a MULTILL program by adopting a Fortran language;
s2: inputting design parameters on the basis of S1, initializing eta ts, performing thermal calculation on the parameters by a turbine, and calling an NIST physical database to obtain the physical parameters of the thermal calculation in the thermal analysis stage;
s3: on the basis of S2, a given initial total static efficiency is checked through a loss model module and a thermal design module, a 0.01% error is given, and if the error is out of the error range, the total static efficiency is assigned again for iterative calculation;
s4: on the basis of S3, determining whether eta ts converges, if not, updating eta ts, initializing eta ts, and repeatedly calculating;
s5: on the basis of S4, if eta ts converges, judging whether eta ts meets the termination condition, if eta ts does not meet the termination condition, the genetic algorithm is input again, the steps are repeated until eta ts meets the termination condition, and then the result is output and the operation is terminated;
s6: and on the basis of S5, displaying the numerical value obtained by the thermal design platform on a user interface, thereby realizing human-computer interaction.
The invention has the beneficial effects that: the supercritical carbon dioxide working medium axial flow turbine design system and the method thereof comprise a thermodynamic calculation module, a physical property calling module, a loss model module and an optimization algorithm module through a thermodynamic design platform, wherein the thermodynamic calculation module can obtain the peripheral speed and the radius of a movable blade and can also determine the blade height and the blade number of a blade grid, the physical property calling module can obtain the physical property parameters of the working medium, the loss model module is combined with the thermodynamic design module to test the given initial total static efficiency, and given 0.01% of error, the optimization algorithm module solves the problems of multi-extreme value, local optimal solution and the like of the traditional optimization algorithm, and then the output end of the MULTIALL program is in signal connection with the input end of the thermal design platform, and the output end of the thermal design platform is in signal connection with the input end of the user interface, so that the result meeting the termination condition can be obtained, and reference can be provided for designing the supercritical carbon dioxide axial flow turbines with different powers.
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FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a thermodynamic design of the present invention.
In the figure: 1. the MULTILL program; 2. a thermal design platform; 3. a user interface.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1: the supercritical carbon dioxide working medium axial flow type turbine design system comprises a MULTIALL program 1, a thermal design platform 2 and a user interface 3, wherein the output end of the MULTIALL program 1 is in signal connection with the input end of the thermal design platform 2, and the output end of the thermal design platform 2 is in signal connection with the input end of the user interface 3.
According to fig. 1: a thermodynamic design platform 2 is set up on the basis of the MULTILL program 1, input design parameters are calculated through the thermodynamic design platform 2, and a result meeting a termination condition is obtained, so that reference can be provided for designing supercritical carbon dioxide axial flow turbines with different powers.
Further according to fig. 1-2: the thermal design platform 2 comprises a thermal calculation module, a physical property calling module, a loss model module and an optimization algorithm module, the thermal design platform 2 is built on the basis of the MULTILL program 1 by adopting Fortran language, and in the thermal design process, the ideal enthalpy drop, delta h and the like of the work done by the turbine can be obtained after the parameters of an inlet and an outlet are knownstotalSecondly, the enthalpy drop delta h of each stage can be obtained according to the initial total static efficiency and the stage enthalpy drop average distribution methodsSubsequently, the bucket circumferential speed U may be deduced from the load factor definition, and then
Figure BDA0003090810100000041
Deducing the design point radius RhubRegarding the concurrent area of the fluid as a ring, an expression of the concurrent area can be obtained:
Figure BDA0003090810100000042
secondly, the coordinates of the design points of the inlet and the outlet of the hub and the blade cascade of the blade top can be obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction, and then the coordinates of the design points are obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction
Figure BDA0003090810100000043
The blade height of the front edge or the tail edge of the blade can be calculated, the average value of the blade height and the tail edge is the blade height of the blade cascade, the blade cascade pitch s needs to be obtained if the estimated value of the number of the blades is obtained under the condition that the axial chord length is known, the Zweifel coefficient is adopted to calculate the relative pitch of the blade cascade, and the blade cascade pitch s can be obtained under the condition that the axial chord length b is known. The blade number calculation method is as follows:
Figure BDA0003090810100000044
and the relative blade pitch can be found:
Figure BDA0003090810100000045
the pitch can be determined from the given axial chord length and then
Figure BDA0003090810100000046
Determining the number of blades and the beginning of the physical moduleThe working medium to be calculated is selected, the working medium file name is stored in the array hf, the calling of the physical property subprogram generally adopts a FLASH subprogram, the thermal design platform 2 is added with a loss model module to test the given initial total static efficiency in combination with a thermal design module, and a 0.01% error is given.
The physical property calling module imports a fluid file containing fld as a suffix and a mixed working medium file containing mix as the suffix into a program root directory by calling a Refprop database issued by the national institute of standards and technology, wherein the fluid file contains fld as the suffix, the mix as the suffix, the physical property module calling method comprises program initialization and physical property subprogram calling, and the initialization method comprises a pure working medium initial method:
i=1
hf (1) ═ co2.fld' (carbon dioxide for example)
hfmix='hmx.bnc'
hrf='DEF'
call SETUP(i,hf,hfmix,hrf,ierr,herr)
if(ierr.ne.0)write(*,*)herr
The initialization method of the mixed working medium comprises the following steps:
nc is 3 (taking air as an example)
hf(1)='nitrogen.fld'
hf(2)='argon.fld'
hf(3)='oxygen.fld'
hfmix='hmx.bnc'
hrf='DEF'
call SETUP(nc,hf,hfmix,hrf,ierr,herr)
if(ierr.ne.0)write(*,*)herr
x(1)=.7812d0
x(2)=.0092d0
x(3)=.2096d0
The optimization algorithm is an algorithm with strong global property and parallel capability, solves the problems of multiple extreme values, local optimal solution and the like of the traditional optimization algorithm, does not influence the relation between design parameters, and is a genetic algorithm which is a very common optimization means in the field of impeller machinery at present as a classical optimization algorithm.
A supercritical carbon dioxide working medium axial flow turbine design method comprises the following steps:
s1: a thermodynamic design platform 2 is set up on the basis of the MULTILL program 1 by adopting a Fortran language;
s2: inputting design parameters on the basis of S1, initializing eta ts, performing thermal calculation on the parameters by a turbine, and calling an NIST physical database to obtain the physical parameters of the thermal calculation in the thermal analysis stage;
s3: on the basis of S2, a given initial total static efficiency is checked through a loss model module and a thermal design module, a 0.01% error is given, and if the error is out of the error range, the total static efficiency is assigned again for iterative calculation;
s4: on the basis of S3, determining whether eta ts converges, if not, updating eta ts, initializing eta ts, and repeatedly calculating;
s5: on the basis of S4, if eta ts converges, judging whether eta ts meets the termination condition, if eta ts does not meet the termination condition, the genetic algorithm is input again, the steps are repeated until eta ts meets the termination condition, and then the result is output and the operation is terminated;
s6: and on the basis of S5, displaying the numerical value obtained by the thermal design platform 2 on the user interface (3) so as to realize human-computer interaction.
In summary, the system and the method for designing the axial flow turbine with the supercritical carbon dioxide working medium comprise a thermodynamic calculation module, a physical property calling module, a loss model module and an optimization algorithm module through the thermodynamic design platform 2, wherein the thermodynamic calculation module can obtain the circumferential speed and the radius of the movable blade, can also determine the blade height and the number of the blades of the blade cascade, the physical property calling module can obtain the physical property parameters of the working medium, the loss model module is combined with the thermodynamic design module to test the given initial total static efficiency, and given 0.01% of error, the optimization algorithm module solves the problems of multi-extreme value, local optimal solution and the like of the traditional optimization algorithm, the output end of the MULTIALL program 1 is in signal connection with the input end of the thermal design platform 2, and the output end of the thermal design platform 2 is in signal connection with the input end of the user interface 3, so that the result meeting the termination condition can be obtained, and reference can be provided for designing the supercritical carbon dioxide axial flow turbines with different powers.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.

Claims (8)

1. Supercritical carbon dioxide working medium axial flow type turbine design system, including MULTIALL procedure (1), thermal design platform (2) and user interface (3), its characterized in that: the output end of the MULTILL program (1) is in signal connection with the input end of the thermal design platform (2), and the output end of the thermal design platform (2) is in signal connection with the input end of the user interface (3).
2. The supercritical carbon dioxide working fluid axial flow turbine design system of claim 1, characterized in that: the thermal design platform (2) comprises a thermal calculation module, a physical property calling module, a loss model module and an optimization algorithm module, and the thermal design platform (2) is built on the basis of the MULTIL program (1) by adopting a Fortran language.
3. The supercritical carbon dioxide working fluid axial flow turbine design system of claim 1, characterized in that: in the thermodynamic design process, the ideal enthalpy drop delta h of the work done by the turbine can be obtained after the parameters of the inlet and the outlet are knownstotalSecondly, the enthalpy drop delta h of each stage can be obtained according to the initial total static efficiency and the stage enthalpy drop average distribution methodsSubsequently, the bucket circumferential speed U may be deduced from the load factor definition, and then
Figure FDA0003090810090000011
Deducing the design point radius Rhub
4. The supercritical carbon dioxide working fluid axial flow type turbine according to claim 1The flat design system is characterized in that: regarding the concurrent area of the fluid as a ring, an expression of the concurrent area can be obtained:
Figure FDA0003090810090000012
secondly, the coordinates of the design points of the inlet and the outlet of the hub and the blade cascade of the blade top can be obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction, and then the coordinates of the design points are obtained according to the coordinates of the design points and the included angle between the through-flow interface and the axial direction
Figure FDA0003090810090000013
The blade height of the leading edge or the trailing edge of the blade can be calculated, and finally the average value of the blade height and the trailing edge is the blade height of the blade cascade.
5. The supercritical carbon dioxide working fluid axial flow turbine design system of claim 1, characterized in that: under the condition of knowing the axial chord length, obtaining an estimated value of the number of blades needs to obtain a blade cascade pitch s, calculating a blade cascade relative pitch by adopting a Zweifel coefficient, and under the condition of knowing the axial chord length b, obtaining the blade cascade pitch s, wherein the blade number calculating method comprises the following steps:
Figure FDA0003090810090000014
and the relative blade pitch can be found:
Figure FDA0003090810090000015
the pitch can be determined from the given axial chord length and then
Figure FDA0003090810090000016
And (5) obtaining the number of the blades.
6. The supercritical carbon dioxide working fluid axial flow turbine design system of claim 1, characterized in that: the beginning part of the physical module selects working media to be calculated, the file names of the working media are stored in an array hf, and the calling of the physical subprogram generally adopts a FLASH subprogram.
7. The supercritical carbon dioxide working fluid axial flow turbine design system of claim 1, characterized in that: the thermodynamic design platform (2) adds a loss model module and combines the thermodynamic design module to check the given initial total static efficiency, and gives an error of 0.01 percent.
8. The design method of the supercritical carbon dioxide working medium axial flow turbine as claimed in claim 1 is characterized by comprising the following steps:
s1: a thermodynamic design platform (2) is set up on the basis of the MULTILL program (1) by adopting a Fortran language;
s2: inputting design parameters on the basis of S1, initializing eta ts, performing thermal calculation on the parameters by a turbine, and calling an NIST physical database to obtain the physical parameters of the thermal calculation in the thermal analysis stage;
s3: on the basis of S2, a given initial total static efficiency is checked through a loss model module and a thermal design module, a 0.01% error is given, and if the error is out of the error range, the total static efficiency is assigned again for iterative calculation;
s4: on the basis of S3, determining whether eta ts converges, if not, updating eta ts, initializing eta ts, and repeatedly calculating;
s5: on the basis of S4, if eta ts converges, judging whether eta ts meets the termination condition, if eta ts does not meet the termination condition, the genetic algorithm is input again, the steps are repeated until eta ts meets the termination condition, and then the result is output and the operation is terminated;
s6: and on the basis of S5, displaying the numerical value obtained by the thermal design platform (2) on the user interface (3), and further realizing human-computer interaction.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007056824A (en) * 2005-08-26 2007-03-08 Toshiba Corp Stationary blade and moving blade for axial flow turbine, and axial flow turbine provided with same
WO2010000229A2 (en) * 2008-07-04 2010-01-07 Man Turbo Ag Blade cascade for a flow engine and flow engine comprising said blade cascade
CN107634745A (en) * 2017-09-26 2018-01-26 电子科技大学 A kind of grid discharge and recharge for gated device adjusts circuit
CN109508851A (en) * 2018-09-05 2019-03-22 西安交通大学 A kind of small-sized lead base heap supercritical carbon dioxide cycle generating system comprehensive performance evaluation method
CN111859563A (en) * 2020-07-10 2020-10-30 西安交通大学 Similar modeling method for supercritical carbon dioxide turbine test
CN111881618A (en) * 2020-07-06 2020-11-03 西安交通大学 Supercritical CO2Brayton cycle coupling optimization method, storage medium, and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007056824A (en) * 2005-08-26 2007-03-08 Toshiba Corp Stationary blade and moving blade for axial flow turbine, and axial flow turbine provided with same
WO2010000229A2 (en) * 2008-07-04 2010-01-07 Man Turbo Ag Blade cascade for a flow engine and flow engine comprising said blade cascade
CN107634745A (en) * 2017-09-26 2018-01-26 电子科技大学 A kind of grid discharge and recharge for gated device adjusts circuit
CN109508851A (en) * 2018-09-05 2019-03-22 西安交通大学 A kind of small-sized lead base heap supercritical carbon dioxide cycle generating system comprehensive performance evaluation method
CN111881618A (en) * 2020-07-06 2020-11-03 西安交通大学 Supercritical CO2Brayton cycle coupling optimization method, storage medium, and device
CN111859563A (en) * 2020-07-10 2020-10-30 西安交通大学 Similar modeling method for supercritical carbon dioxide turbine test

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王巍: "燃气 - 蒸汽联合循环性能计算平台界面开发", 《航空发动机》 *
王雨琦等: "部分进气超临界二氧化碳向心透平气动性能研究", 《热力透平》 *

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