CN105893732A - Assessment method of solar energy resources - Google Patents
Assessment method of solar energy resources Download PDFInfo
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- CN105893732A CN105893732A CN201510030988.0A CN201510030988A CN105893732A CN 105893732 A CN105893732 A CN 105893732A CN 201510030988 A CN201510030988 A CN 201510030988A CN 105893732 A CN105893732 A CN 105893732A
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Abstract
The invention relates to an assessment method of solar energy resources, and belongs to the technical field of utilization of the solar energy resources. The method comprises the following steps: performing main component analysis on the overall solar energy resource assessment based on the basic principle of main component analysis to obtain the weight coefficients of four assessment indicators, including the rich degree of the solar energy resource, the solar energy resource utilization value, the solar energy resource stability and the optimal daily utilization time of the solar energy resources, so as to obtain a quantitative description formula for the overall solar energy resource assessment; and then assessing the solar energy resources based on the formula. With the adoption of the method, the assessment process can be simplified, so that the working hours can be decreased, the workload can be reduced, and moreover, accurate result can be obtained.
Description
Technical field
The invention belongs to technical field of solar utilization technique
Background technology
Along with world energy sources becomes increasingly conspicuous with environmental problem, Devoting Major Efforts To Developing utilizes regenerative resource to be world energy supplies safety and sustainable development
Inevitable choice.Estimating according to relevant expert, the most only solar electrical energy generation is only most potential power source.It may be said that the most inexhaustible use
Inexhaustible solar energy can essence ground solve the future electrical energy energy demand, so world's energy resource structure change in, solar energy is in prominent
Position.Contrasting different types of solar energy generation technology, the factor that microcosmic structure first emphasis in solar power plant considers is the solar energy of selected site
Radiation resource situation.Being affected by many factors, on the earth, the solar energy resources under different regions, Various Seasonal, DIFFERENT METEOROLOGICAL CONDITIONS is different.
Solar energy resources assessment is the key link of solar electrical energy generation.The most domestic research for the ways and means of solar energy resources assessment has been in step
Section, the difference of stock assessment result will produce great impact to construction and the operation result of solar power plant.
Summary of the invention
Technical problem: the present invention is directed to solar energy resources and utilize needs, it is proposed that the method for a kind of solar energy resources assessment, can be in solar energy phase
Scientific research and the engineer applied in field, pass are extensively applied.
Technical scheme: solar energy resources assessment is the complication system of many key elements, when carrying out solar energy resources and comprehensively analyzing, affects solar energy money
It is that there is certain dependency relation between the multivariate of source assessment result.Therefore, between each variable on the basis of dependency relation research, with relatively
Few new variables replaces the most more variable, and makes these less new variables retain the letter that original more variable is reflected as much as possible
Breath.Using principal component analytical method integrated treatment can affect several affecting parameters of solar energy resources net assessment, be by aggregate analysis has by force
Power method.
The affecting parameters of solar energy resources net assessment has solar energy resources to enrich degree, solar energy resources value, and solar energy resources is stable
Degree and optimum utilization period solar energy resources day.The solar radiation data of collection are standardized, use principal component analytical method to standardization
Solar radiation data carry out comprehensive grading, score higher then explanation solar energy resources relatively horn of plenty.
Accompanying drawing explanation
Fig. 1 is the structured flowchart about solar energy resources appraisal procedure that the present invention relates to.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.
The principal component analysis of solar energy resources net assessment
Fig. 1 be the present invention relates to about solar energy resources net assessment system, including solar radiation data, data compilation standardization,
Dependency, KMO and Bartlett ' s Test checks, and variance is explained, jointly spends, principal component scores, solar energy resources net assessment result.Root
According to above-mentioned principal component analysis principle, the solar energy resources of solar energy resources assessment being enriched degree, solar energy resources value, solar energy resources is steady
Determine degree and solar energy resources day optimum utilization this four classes evaluation index of period utilizes SPSS software to carry out principal component analysis.According to principal component analysis base
Present principles, carries out principal component analysis to solar energy resources net assessment, draws the weight coefficient of above-mentioned solar energy resources four indexs of assessment, and step is such as
Under.
Step 101: data compilation standardization
It is standardized processing to four achievement datas in the place of needs assessment.The standardization of data is by data bi-directional scaling, is allowed to
Enter a little specific interval.Owing to each measure of criterions unit of solar energy resources evaluation index system is different, in order to index is participated in
Evaluation calculation, needs index is carried out standardization processing, by functional transformation, its numerical value is mapped to certain numerical intervals.
Step 102: dependency
The correlation analysis of the different index of table 1
From the point of view of correlation matrix: the dependency of abundant degree and value is 0.798, degree of stability and abundant degree, value,
The period is utilized to have certain negative correlation.
Step 103:KMO and Bartlett ' s Test inspection
The desired value whether KMO value is suitable for for checking principal component analysis, if it is between 0.5～1.0, represents suitable；Represent not less than 0.5
Properly.The spheroid inspection of Bartlett is to have carried out the most separate between paired variates testing by being converted to X2 inspection.If this statistic
Value is relatively big, and corresponding significance probability is highly significant less than 0.001, is suitable for using principal component analysis.
Step 104: variance is explained
The variance of common factor is the contribution to whole variable variances of the common factor, and therefore, it can weigh the relatively important journey of common factor
Degree, extracts according to the eigenvalue common factor more than 1, i.e. can get a main constituent.
Step 105: jointly spend
Common degree is the biggest, illustrates that the information that all common factor extracts is the most.
Table 2 variable is spent jointly
Extraction Method:Principal Component Analysis.
Abundant degree, value, degree of stability and utilize the common degree of period to be respectively 0.764,0.906,0.698 and 0.767, thus
Visible, value the quantity of information provided is more, and the quantity of information that degree of stability provides is minimum.
Step 106: principal component scores function
According to following factor score coefficient matrix, factor score function can be obtained
Table 3 factor score coefficient matrix
Extraction Method:Principal Component Analysis.
Rotation Method:Varimax with Kaiser Normalization.
Component Scores.
F=0.279ZX1+0.304ZX2-0.266ZX3+0.279ZX4
………(1)
Equation (1) represents the quantitative description of solar energy resources net assessment, and wherein ZX1 represents aboundresources degree, and ZX2 represents exploitation value
Value, ZX3 represents the degree of stability of resource, number when ZX4 represents effective, it should be noted that four indexs are utilizing above-mentioned equation to carry out solar energy money
Can input equation after being standardized each desired value when that source totally describing processing.
Claims (3)
1. a solar energy resources appraisal procedure, it is characterised in that the present invention relates to includes about solar energy resources appraisal procedure: solar radiation
Data, data compilation standardization, dependency, KMO and Bartlett ' s Test checks, and variance is explained, jointly spends, principal component scores, the sun
Energy these eight steps of resource net assessment result, wherein:
1) solar radiation data: the place of needs assessment is carried out solar radiation data acquisition；
2) data compilation standardization: being standardized processing to four achievement datas in assessment place, the standardization of data is by data in proportion
Scaling, is allowed to fall into a little specific interval.
3) dependency: the dependency of abundant degree and value is 0.798, degree of stability and abundant degree, value, utilizes the period to have
Certain negative correlation；
4) KMO and Bartlett ' s Test inspection: KMO value is used for checking the desired value whether principal component analysis be suitable for, if it 0.5～1.0 it
Between, represent suitable；Represent improper less than 0.5.The spheroid inspection of Bartlett is to have carried out between paired variates whether phase by being converted to X2 inspection
Independently test mutually.If the value of this statistic is relatively big, principal component analysis is applicable；
5) variance is explained: the variance of common factor is the contribution to whole variable variances of the common factor, and therefore, it can weigh common factor
Relative importance, extracts according to the eigenvalue common factor more than 1；
6) jointly spend: common degree is the biggest, illustrate that the information that all common factor extracts is the most.
7) principal component scores: principal component scores function
F=0.279ZX1+0.304ZX2-0.266ZX3+0.279ZX4
Represent the quantitative description of solar energy resources net assessment.
8) solar energy resources net assessment result: the main constituent equation drawn according to analysis, carries out solar energy resources net assessment, score to somewhere
What ranking was forward is then best suitable for building solar power plant.
A kind of solar energy resources appraisal procedure the most according to claim 1, it is characterised in that described step 2) in, due to solar energy resources
Each measure of criterions unit of evaluation index system is different, in order to index is participated in evaluation calculation, needs index is carried out standardization processing,
By functional transformation, its numerical value is mapped to certain numerical intervals.Utilize SPSS that statistical data is standardized.
A kind of solar energy resources appraisal procedure the most according to claim 2, it is characterised in that described step 7) in, at principal component scores letter
In number, ZX1 represents aboundresources degree, and ZX2 represents value, and ZX3 represents the degree of stability of resource, number when ZX4 represents effective, needs note
Meaning be four indexs utilize above-mentioned equation carry out solar energy resources totally describe time to be standardized each desired value processing after can
Input equation.
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| CN201510030988.0A CN105893732A (en) | 2015-01-19 | 2015-01-19 | Assessment method of solar energy resources |
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| CN201510030988.0A CN105893732A (en) | 2015-01-19 | 2015-01-19 | Assessment method of solar energy resources |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093090A (en) * | 2013-01-11 | 2013-05-08 | 河海大学常州校区 | Principal component analysis method of cutter suction dredger energy consumption parameters based on multivariate |
| CN104156776A (en) * | 2014-04-23 | 2014-11-19 | 国家电网公司 | Solar resource assessment method |
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2015
- 2015-01-19 CN CN201510030988.0A patent/CN105893732A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093090A (en) * | 2013-01-11 | 2013-05-08 | 河海大学常州校区 | Principal component analysis method of cutter suction dredger energy consumption parameters based on multivariate |
| CN104156776A (en) * | 2014-04-23 | 2014-11-19 | 国家电网公司 | Solar resource assessment method |
Non-Patent Citations (1)
| Title |
|---|
| 赵明智: "槽式太阳能热发电站微观选址的方法研究", 《中国博士学位论文全文数据库》 * |
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Application publication date: 20160824 |
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