CN107657095A - A kind of porous media solar heat absorber structure and optimization of operating parameters method - Google Patents

A kind of porous media solar heat absorber structure and optimization of operating parameters method Download PDF

Info

Publication number
CN107657095A
CN107657095A CN201710828897.0A CN201710828897A CN107657095A CN 107657095 A CN107657095 A CN 107657095A CN 201710828897 A CN201710828897 A CN 201710828897A CN 107657095 A CN107657095 A CN 107657095A
Authority
CN
China
Prior art keywords
mrow
msub
porous media
mover
mfrac
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710828897.0A
Other languages
Chinese (zh)
Other versions
CN107657095B (en
Inventor
何雅玲
杜燊
李明佳
杨卫卫
刘占斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Jiaotong University
Original Assignee
Xian Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Jiaotong University filed Critical Xian Jiaotong University
Priority to CN201710828897.0A priority Critical patent/CN107657095B/en
Publication of CN107657095A publication Critical patent/CN107657095A/en
Application granted granted Critical
Publication of CN107657095B publication Critical patent/CN107657095B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/17Mechanical parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geometry (AREA)
  • Biophysics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Physiology (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Genetics & Genomics (AREA)
  • Artificial Intelligence (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Engine Equipment That Uses Special Cycles (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of porous media solar heat absorber structure and optimization of operating parameters method applied to solar energy optical-thermal transformation technology field.The heat transfer characteristic of porous media solar heat absorber is calculated using Thermal Non-equilibrium Model, coupling genetic algorithm optimizes to the structural parameters and operational factor of heat dump, to obtain the parameter combination for causing heat dump best performance.The present invention has considered heat dump heat absorption, heat exchange links, and the automatic screening of parameter is realized using intelligent optimization algorithm, realizes multi-parameter while the function of optimization.The present invention has high efficiency, accuracy and versatility, can largely save the manpower and time cost of design, improve the precision of optimization, while can be used in design optimization parameter difference, optimization object function difference, the different porous media heat dump of geometry.

Description

A kind of porous media solar heat absorber structure and optimization of operating parameters method
Technical field
The invention belongs to solar energy heat utilization field, and in particular to a kind of porous media solar heat absorber structure and operation Parameter optimization method.
Background technology
Light-focusing type solar generation technology is a kind of cleaning, safe and reliable and with bright prospects renewable energy Source utilization technology.The critical component that solar heat absorber converts as luminous energy to heat energy, for the optimizing research of its heat exchange property Important leverage is provided for the Effec-tive Function of whole system.As a kind of new positive displacement heat dump, porous media heat dump The highest attention of domestic and foreign scholars is received in recent years.Its higher through-hole rate causes solar radiation to be inhaled inside heat dump Receive, form " body absorption " effect;And its complicated unordered three-dimensional structure, heat exchange surface is increased, enhances heat exchanging fluid and suction Heat convection efficiency before hot device.However, the actual installation commercialized running of porous media solar heat absorber, still faces Series of challenges.Including:(1) research of porous media solar heat absorber concentrates on unitary variant to heat dump performance Influence, lack the method for multi-variables analysis;(2) design method of porous media heat dump is lacked.Under specified requirements, lack conjunction The method of reason selection heat dump structural parameters and operational factor, to ensure that heat dump is efficiently run.
Domestic and foreign scholars have carried out a series of researchs for porous media solar heat absorber at present.Wu et al. is using non-thermal Balance model (LTNE) couples P1 models, solves the heat transfer characteristic of porous media solar heat absorber.Porous Jie is have studied respectively Influence of the porosity, aperture, thermal conductivity and heat dump inlet flow rate of matter to heat dump interior temperature distribution characteristic.Chen etc. (MCRT) technology is followed the trail of using Monte Carlo ray, obtains distribution feelings of the solar radiation energy inside porous media absorber Condition, Thermal Non-equilibrium Model and P1 models are coupled, has solved the fluid interchange process inside porous media solar heat absorber.Analysis Influences of the different solar radiation models to result of calculation.S.Mey-Cloutier et al. experimental studies ceramics of different materials Photo-thermal conversion efficiency of the porous media as solar energy heat absorbing.Meanwhile analyze porous media geometrical structure parameter (porosity, Aperture etc.) influence to heat dump overall performance.Analysis more than is as can be seen that for porous media solar heat absorber Research focuses mostly in analysis of the single parameter to heat dump performance impact, in order to which the excellent heat dump of screenability needs to carry out greatly The numerical simulation of amount and experimental work.Meanwhile under multi-parameter simultaneously situation of change, existing research work fails to provide heat dump The method for optimizing of parameter.
The content of the invention
It is an object of the invention to for deficiency present in the research of current porous media solar heat absorber and design, carry Gone out a kind of effectively optimizing suitable for single argument and multivariable, it is possible to achieve heat dump parameter it is automatic preferably, to be expired The porous media structure parameter of foot optimization demand and the porous media solar heat absorber structure of heat dump operational factor and operation Parameter optimization method.
To reach above-mentioned purpose, the technical solution adopted by the present invention is:
Step 1):Determine the unoptimizable geometric parameter and operational factor of porous media solar heat absorber to be optimized;
Step 2):Initialize the geometric parameter and operational factor of porous media solar heat absorber to be optimized;
Step 3):According to initialization or the geometric parameter and operational factor of genetic algorithm optimization, using Beer laws and more Hole dieletric reflection characteristic, the transmission loss and reflection loss of porous media heat dump are calculated, so that it is determined that absorptivity;According to Beer Law exports distribution of the solar radiation energy-flux density inside absorber:
I (x)=I (0) C β e-βx
I (x) is the radiant emittance at x position, and C is according to the correction factor transmitted and reflection loss is calculated, β It is the attenuation coefficient of porous media;
Step 4):Rosseland diffusion equations are coupled using Thermal Non-equilibrium Model, solve porous media solar heat absorber Internal fluid interchange:
In formula:ρ、u、μ、cp、Tf、λfeBe respectively the density of heat exchanging fluid, speed, dynamic viscosity coefficient, specific heat capacity at constant pressure, Temperature and efficient thermal conductivity;ε、K、CF、λse、Ts、n、krIt is the porosity of porous media skeleton, permeability, inertia coeffeicent, effectively Thermal conductivity, temperature, refractive index and equivalent radiated power thermal conductivity.hvBody convection transfer rate between porous media and heat exchanging fluid;
Step 5) calculates convergence, and characteristic is changed in the flowing for obtaining porous media solar heat absorber, calculates the heat dump thermal efficiency Evaluating:
For mass flow, qinFor intensity of solar radiation, SinFor heat dump front end area.And evaluating is passed into something lost Propagation algorithm;
Step 6) genetic algorithm is intersected according to the evaluating in step 5), made a variation, migrating genetic operation, and renewal is treated Optimized variable, repeat step 3), step 4), step 5), progressively obtain cause the higher porous media structure parameter of the thermal efficiency and Heat dump operational factor, final genetic algorithm reach convergence, obtain optimal value of the parameter.
The physical dimension of the geometric parameter of described porous media including porous media is length, the hole of porous media Gap rate, the aperture of porous media;Operational factor includes inlet flow rate, inlet temperature, solar radiation energy-flux density.
The present invention, which carries, to be applicable the feature of heat dump and is:Heat absorption using metal foam or porous ceramic film material as heat absorption core The three-dimensional through hole structure of device, metal foam or porous ceramic film material with three-dimensional UNICOM, with higher through-hole rate and good Heat conductivility.
Because the factor for influenceing porous media solar heat absorber is numerous, restricted between each factor there is mutual, therefore, The present invention takes full advantage of the efficient optimal solution search characteristic of genetic algorithm.Thermal Non-equilibrium Model is used to calculate under specified requirements The heat transfer characteristic and the thermal efficiency of porous media solar heat absorber, genetic algorithm are used for automatically and efficiently search and meet optimal conditions Optimal solution.Thermal balance model and genetic algorithm are taken by coupling, so as to realize that the automatic of porous media solar heat absorber is commented Estimate and screen, improve the efficiency of optimization design.
Brief description of the drawings
Fig. 1 is optimization method flow chart of the present invention;
Embodiment
Below in conjunction with the accompanying drawings, exemplified by optimizing porosity of porous medium, aperture and heat dump inlet flow rate simultaneously, to this hair It is bright to be described in detail:
As shown in figure 1, the method for present invention optimization porous media solar heat absorber structure and operational factor is as follows:
First, the unoptimizable geometrical structure parameter and operational factor of porous media heat dump are specified.Choose the calculating of two dimension Area attribute porous media solar heat absorber, it is respectively 5cm and 4cm to set its width and thickness respectively;Porous media material Elect carborundum as, heat exchanging fluid elects air as;The temperature of intake air is set as 300K;Entrance solar radiation energy-flux density is set For 600kW/m2.Meanwhile limit the value orientation of parameter to be optimized.Here, the porosity of porous media is set as 0.65- 0.95, aperture is 0.5mm-2.0mm, and inlet flow rate is 0.5-2m/s.
Secondly, the reflection loss of porous media is calculated according to specified heat dump structural parameters (thickness, porosity, aperture) R and transmission loss T.Reflection loss is calculated according to Simon Gu é velou et al. numerical simulation result;Transmission loss profit It is derived by with Beer laws:
T=1-e-βx
In formula, attenuation coefficient is assumed to be calculated using geometric optics:
D in formulapIt is the aperture of porous media.Correction factor C=1-R-T.Solar radiation energy-flux density is inside heat dump Be distributed as:
I (x)=I (0) C β e-βx
Then, porous media solar heat absorber fluid interchange governing equation is solved:
Empirical parameter in formula uses the Empirical Equation related to porous media structure parameter to be calculated.Here adopt With Wu et al. empirical equation:
Governing equation obtains the heat transfer characteristic of the porous media solar heat absorber after solving, select the thermal efficiency as heat absorption The evaluation index of device:
Next, the thermal efficiency value of the heat dump is fed back into genetic algorithm, genetic algorithm is intersected, made a variation, migrated Deng genetic operation, retained parameter combination to be optimized is updated.Then calculating, the solar radiant energy of solar radiative absorption rate are repeated The calculating of current density distribution and the calculating of the heat dump thermal efficiency, until genetic algorithm restrains.
Finally, porosity of porous medium, aperture and the heat dump inlet flow rate for make it that the heat dump thermal efficiency is optimal are obtained.It is excellent Change result to show, under the experiment condition, the optimum porosity of heat dump is 0.95, optimum aperture 1.78mm, optimal entrance stream Speed is 2.0m/s.
Table 1 is given using optimization method proposed by the present invention, in different porous media solar heat absorber thickness conditions Under, optimal porosity, aperture and inlet flow rate parameter combination.
The different-thickness porous media solar heat absorber optimum porosity of table 1, aperture and inlet flow rate combination
As can be seen that porous media solar heat absorber structure proposed by the present invention and optimization of operating parameters method can be same The multiple variables of Shi Youhua, it can efficiently obtain heat dump best parameter group.In the case where heat dump thickness is larger, Gao Kong Gap rate and high flow rate are advantageous to be lifted the efficiency of heat dump.Because high porosity is advantageous to increase solar radiation transmission deeply Degree, heat dump surface energy flux density is reduced, radiation heat loss is reduced so as to reduce heat dump surface temperature.And high flow rate is advantageous to Strengthen heat convection, be equally beneficial for reducing heat dump surface temperature.And optimum aperture with the increase of heat dump thickness and by It is cumulative big.And in the case of thickness is less, optimum porosity and aperture are all relatively reduced.Smaller porosity and aperture can Weaken the transmission heat loss of heat dump while reduce section when solid liquid phase reaches thermal balance.Fluid is enabled to shorter with this Heat exchange section in reach higher temperature.
The present invention is by coupling porous media Thermal Non-equilibrium Model and genetic algorithm, it is proposed that a kind of porous media solar energy Heat dump structure and optimization of operating parameters method.The present invention easily can be designed to porous media solar heat absorber, A kind of new approaches are provided for the screening of heat dump structural parameters and operational factor.

Claims (2)

1. a kind of porous media solar heat absorber structure and optimization of operating parameters method, it is characterised in that comprise the following steps:
Step 1):Determine the unoptimizable geometric parameter and operational factor of porous media solar heat absorber to be optimized;
Step 2):Initialize the geometric parameter and operational factor of porous media solar heat absorber to be optimized;
Step 3):According to initialization or the geometric parameter and operational factor of genetic algorithm optimization, using Beer laws and porous Jie Matter reflection characteristic, the transmission loss and reflection loss of porous media heat dump are calculated, so that it is determined that absorptivity;According to Beer laws Export distribution of the solar radiation energy-flux density inside absorber:
I (x)=I (0) C β e-βx
I (x) is the radiant emittance at x position, and C is the correction factor being calculated according to transmission and reflection loss, and β is more The attenuation coefficient of hole medium;
Step 4):Rosseland diffusion equations are coupled using Thermal Non-equilibrium Model, solved inside porous media solar heat absorber Fluid interchange:
<mrow> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <mi>&amp;rho;</mi> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <mo>)</mo> </mrow> <mo>=</mo> <mn>0</mn> </mrow>
<mrow> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <mfrac> <mrow> <mi>&amp;rho;</mi> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> </mrow> <mi>&amp;epsiv;</mi> </mfrac> <mo>)</mo> </mrow> <mo>=</mo> <mo>-</mo> <mi>&amp;epsiv;</mi> <mo>&amp;dtri;</mo> <mi>p</mi> <mo>+</mo> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <mi>&amp;mu;</mi> <mo>&amp;dtri;</mo> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <mo>)</mo> </mrow> <mo>-</mo> <mfrac> <mrow> <mi>&amp;mu;</mi> <mi>&amp;epsiv;</mi> </mrow> <mi>K</mi> </mfrac> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <mo>-</mo> <mfrac> <mrow> <msub> <mi>&amp;rho;&amp;epsiv;C</mi> <mi>F</mi> </msub> <mrow> <mo>|</mo> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <mo>|</mo> </mrow> </mrow> <msqrt> <mi>K</mi> </msqrt> </mfrac> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> </mrow>
<mrow> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <msub> <mi>&amp;rho;c</mi> <mi>p</mi> </msub> <mover> <mi>u</mi> <mo>&amp;RightArrow;</mo> </mover> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <msub> <mi>&amp;lambda;</mi> <mrow> <mi>f</mi> <mi>e</mi> </mrow> </msub> <mo>&amp;dtri;</mo> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>h</mi> <mi>v</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <mo>-</mo> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>)</mo> </mrow> </mrow>
<mrow> <mn>0</mn> <mo>=</mo> <mo>&amp;dtri;</mo> <mrow> <mo>(</mo> <msub> <mi>&amp;lambda;</mi> <mrow> <mi>s</mi> <mi>e</mi> </mrow> </msub> <mo>&amp;dtri;</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>h</mi> <mi>v</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>-</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>S</mi> <mi>r</mi> </msub> </mrow>
<mrow> <msub> <mi>q</mi> <mi>r</mi> </msub> <mo>=</mo> <mo>-</mo> <msub> <mi>k</mi> <mi>r</mi> </msub> <mfrac> <mrow> <mi>d</mi> <mi>T</mi> </mrow> <mrow> <mi>d</mi> <mi>x</mi> </mrow> </mfrac> <mo>=</mo> <mo>-</mo> <mfrac> <mrow> <mn>16</mn> <msup> <mi>n</mi> <mn>2</mn> </msup> <msup> <mi>&amp;sigma;T</mi> <mn>3</mn> </msup> </mrow> <mrow> <mn>3</mn> <mi>&amp;beta;</mi> </mrow> </mfrac> <mfrac> <mrow> <mi>d</mi> <mi>T</mi> </mrow> <mrow> <mi>d</mi> <mi>x</mi> </mrow> </mfrac> </mrow>
In formula:ρ、u、μ、cp、Tf、λfeIt is density, speed, dynamic viscosity coefficient, specific heat capacity at constant pressure, the temperature of heat exchanging fluid respectively And efficient thermal conductivity;ε、K、CF、λse、Ts、n、krIt is porosity, permeability, inertia coeffeicent, the effective thermal conductivity of porous media skeleton Rate, temperature, refractive index and equivalent radiated power thermal conductivity.hvBody convection transfer rate between porous media and heat exchanging fluid;
Step 5) calculates convergence, and characteristic is changed in the flowing for obtaining porous media solar heat absorber, calculates the evaluation of the heat dump thermal efficiency Parameter:
<mrow> <mi>&amp;eta;</mi> <mo>=</mo> <mfrac> <mrow> <mover> <mi>m</mi> <mo>&amp;CenterDot;</mo> </mover> <msubsup> <mo>&amp;Integral;</mo> <msub> <mi>T</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>i</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>T</mi> <mrow> <mi>f</mi> <mo>,</mo> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </msubsup> <msub> <mi>c</mi> <mi>p</mi> </msub> <msub> <mi>dT</mi> <mi>f</mi> </msub> </mrow> <mrow> <msub> <mi>q</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>S</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mfrac> </mrow>
For mass flow, qinFor intensity of solar radiation, SinFor heat dump front end area.And evaluating is passed into hereditary calculation Method;
Step 6) genetic algorithm is intersected according to the evaluating in step 5), made a variation, migrating genetic operation, and renewal is to be optimized Variable, repeat step 3), step 4), step 5), progressively obtain and cause the higher porous media structure parameter of the thermal efficiency and heat absorption Device operational factor, final genetic algorithm reach convergence, obtain optimal value of the parameter.
2. porous media solar heat absorber structure according to claim 1 and optimization of operating parameters method, its feature exist In:The physical dimension of the geometric parameter of described porous media including porous media is length, the porosity of porous media, The aperture of porous media;Operational factor includes inlet flow rate, inlet temperature, solar radiation energy-flux density.
CN201710828897.0A 2017-09-14 2017-09-14 A kind of porous media solar heat absorber structure and optimization of operating parameters method Active CN107657095B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710828897.0A CN107657095B (en) 2017-09-14 2017-09-14 A kind of porous media solar heat absorber structure and optimization of operating parameters method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710828897.0A CN107657095B (en) 2017-09-14 2017-09-14 A kind of porous media solar heat absorber structure and optimization of operating parameters method

Publications (2)

Publication Number Publication Date
CN107657095A true CN107657095A (en) 2018-02-02
CN107657095B CN107657095B (en) 2019-07-23

Family

ID=61130164

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710828897.0A Active CN107657095B (en) 2017-09-14 2017-09-14 A kind of porous media solar heat absorber structure and optimization of operating parameters method

Country Status (1)

Country Link
CN (1) CN107657095B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109697315A (en) * 2018-12-21 2019-04-30 浙江大学 The optimization method of radiation energy hot spot analytic modell analytical model parameter
CN114623609A (en) * 2022-03-04 2022-06-14 辽宁石油化工大学 Efficient photo-thermal conversion method based on foam material

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150153072A1 (en) * 2013-12-03 2015-06-04 Mark W. Miles Insulated Solar Thermal System
TW201616071A (en) * 2014-10-28 2016-05-01 Univ Chienkuo Technology High-temperature resistant high efficiency solar heat receiver
CN106440418A (en) * 2016-12-07 2017-02-22 福建工程学院 Glass tube bundle and porous medium composite structure solar absorber
CN106839474A (en) * 2017-01-19 2017-06-13 西安交通大学 A kind of porous media solar heat absorber and its method for designing
CN107084541A (en) * 2017-05-27 2017-08-22 南京航空航天大学 A kind of new and effective solar porous medium heat dump

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150153072A1 (en) * 2013-12-03 2015-06-04 Mark W. Miles Insulated Solar Thermal System
TW201616071A (en) * 2014-10-28 2016-05-01 Univ Chienkuo Technology High-temperature resistant high efficiency solar heat receiver
CN106440418A (en) * 2016-12-07 2017-02-22 福建工程学院 Glass tube bundle and porous medium composite structure solar absorber
CN106839474A (en) * 2017-01-19 2017-06-13 西安交通大学 A kind of porous media solar heat absorber and its method for designing
CN107084541A (en) * 2017-05-27 2017-08-22 南京航空航天大学 A kind of new and effective solar porous medium heat dump

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ZHANG-JING ZHENG 等: "Optimization of porous insert configurations for heat transfer enhancement in tubes based on genetic algorithm and CFD", 《INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER》 *
许昌 等: "一种多孔介质太阳能吸热器传热研究", 《能源研究与利用》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109697315A (en) * 2018-12-21 2019-04-30 浙江大学 The optimization method of radiation energy hot spot analytic modell analytical model parameter
CN114623609A (en) * 2022-03-04 2022-06-14 辽宁石油化工大学 Efficient photo-thermal conversion method based on foam material
CN114623609B (en) * 2022-03-04 2023-08-22 辽宁石油化工大学 Efficient photo-thermal conversion method based on foam material

Also Published As

Publication number Publication date
CN107657095B (en) 2019-07-23

Similar Documents

Publication Publication Date Title
Fayaz et al. Energy and exergy analysis of the PVT system: Effect of nanofluid flow rate
Zheng et al. Thermal analysis of a solar parabolic trough receiver tube with porous insert optimized by coupling genetic algorithm and CFD
Jiandong et al. Numerical simulation for structural parameters of flat-plate solar collector
Eslami-Nejad et al. Coupling of geothermal heat pumps with thermal solar collectors using double U-tube boreholes with two independent circuits
Sun et al. Influence of channel depth on the performance of solar air heaters
Khanlari et al. Numerical and experimental analysis of longitudinal tubular solar air heaters made from plastic and metal waste materials
CN103558046A (en) Heat exchanger energy efficiency evaluation system
Gao et al. A study on thermal performance of a novel glazed transpired solar collector with perforating corrugated plate
CN107657095A (en) A kind of porous media solar heat absorber structure and optimization of operating parameters method
CN106839474A (en) A kind of porous media solar heat absorber and its method for designing
CN106842921A (en) Distributing based on NSGA2 algorithms is with electric heating system Multipurpose Optimal Method
CN104214824B (en) A kind of solar energy intelligent control system
Manjunath et al. Three dimensional numerical analysis of conjugate heat transfer for enhancement of thermal performance using finned tubes in an economical unglazed solar flat plate collector
Li et al. Application of entransy theory in the heat transfer optimization of flat-plate solar collectors
CN107844053A (en) A kind of building level cooling heating and power generation system active energy supply method
CN110059372A (en) A kind of objective design method of the shell-and-tube heat exchanger based on differential evolution algorithm
CN201897335U (en) Measuring and controlling system of solar air heat receiver
CN104036084B (en) The distributed constant modeling method of tower type solar thermo-power station tubular receiver
CN111651909A (en) Performance optimization method for photovoltaic/thermal heat collector based on thermodynamic model
CN105298822B (en) Evaluate the heat waste rate method of pure condensate unit water circulating pump performance driving economy
CN109522644A (en) A kind of enhanced heat exchange surface comprehensive performance evaluation method
Bakić et al. Numerical simulation of the air flow around the arrays of solar collectors
Abbasov et al. Efficiency of solar air heaters
CN202101461U (en) Solar energy water heater water tank utilizing exhaust heat
Mathur et al. Thermal performance investigation and optimisation of fin type solar air heater-a CFD approach

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant