CN114034128B - Method and system for measuring cloud distribution in lens field - Google Patents
Method and system for measuring cloud distribution in lens field Download PDFInfo
- Publication number
- CN114034128B CN114034128B CN202111282100.4A CN202111282100A CN114034128B CN 114034128 B CN114034128 B CN 114034128B CN 202111282100 A CN202111282100 A CN 202111282100A CN 114034128 B CN114034128 B CN 114034128B
- Authority
- CN
- China
- Prior art keywords
- data
- mirror
- field
- heliostat
- photovoltaic panel
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000005855 radiation Effects 0.000 claims abstract description 64
- 238000005259 measurement Methods 0.000 claims abstract description 33
- 238000012806 monitoring device Methods 0.000 claims abstract description 16
- 238000006243 chemical reaction Methods 0.000 claims description 17
- 238000002310 reflectometry Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000000691 measurement method Methods 0.000 claims 2
- 238000010248 power generation Methods 0.000 description 17
- 239000006096 absorbing agent Substances 0.000 description 7
- 238000010521 absorption reaction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000013486 operation strategy Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24S—SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
- F24S50/00—Arrangements for controlling solar heat collectors
- F24S50/80—Arrangements for controlling solar heat collectors for controlling collection or absorption of solar radiation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24S—SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
- F24S20/00—Solar heat collectors specially adapted for particular uses or environments
- F24S20/20—Solar heat collectors for receiving concentrated solar energy, e.g. receivers for solar power plants
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24S—SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
- F24S23/00—Arrangements for concentrating solar-rays for solar heat collectors
- F24S23/70—Arrangements for concentrating solar-rays for solar heat collectors with reflectors
- F24S23/77—Arrangements for concentrating solar-rays for solar heat collectors with reflectors with flat reflective plates
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24S—SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
- F24S23/00—Arrangements for concentrating solar-rays for solar heat collectors
- F24S23/70—Arrangements for concentrating solar-rays for solar heat collectors with reflectors
- F24S2023/87—Reflectors layout
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/40—Solar thermal energy, e.g. solar towers
Abstract
The application discloses a method and a system for measuring cloud distribution in a lens field, wherein the method comprises the following steps: s1: acquiring solar radiation data in real time through insolation intensity meters in different areas in a mirror field, acquiring position data and angle data of each heliostat in the mirror field through a monitoring device, and acquiring current data in real time through a photovoltaic panel arranged on each heliostat; s2: acquiring DNI data on each photovoltaic panel in different areas according to solar radiation data, angle data and current data; s3: and analyzing and simulating to obtain cloud distribution in the lens field according to the position information and DNI data. According to the application, the solar radiation value measured by a few insolation intensity meters is combined with the current data of the photovoltaic panel on the heliostat, so that the measurement of cloud distribution in the whole mirror field can be completed, the cost of the cloud distribution measurement in the mirror field is reduced, and the measurement can be performed in real time, thereby effectively optimizing the control of the heliostat in the mirror field, ensuring the safe operation of the whole power station and greatly improving the utilization rate of light resources.
Description
Technical Field
The application belongs to the technical field of solar thermal power generation, and particularly relates to a method and a system for measuring cloud distribution in a lens field.
Background
While the economy is continuously developed, the energy is gradually and continuously in shortage, the traditional non-renewable energy is gradually exhausted, the economic development is more and more limited by the development and the utilization of the energy, the utilization of renewable energy is generally focused, and particularly, the solar energy utilization is more important to the world.
Solar thermal power generation is currently one of the main ways of solar energy utilization. The current solar thermal power generation can be divided into (1) tower type solar thermal power generation according to a solar energy collection mode; (2) trough solar thermal power generation; (3) dish type solar thermal power generation.
In the field of solar thermal power generation, tower type solar thermal power generation has the advantages of high photo-thermal conversion efficiency, high focusing temperature, simple installation and debugging of a control system, less heat dissipation loss and the like, and becomes the next novel energy technology capable of being operated in a commercialized mode.
In the field of tower solar thermal power generation, heliostats are an important component of a tower solar thermal power generation system. As shown in fig. 1, the heliostat reflects sunlight onto the heat absorber to heat the heat absorbing working medium, so that light energy is converted into heat energy, and the turbine is driven to generate electricity.
In the whole power generation process, the concentrating and heat collecting link is important, and the maximum utilization of the light resource is one of the necessary conditions for improving the power generation capacity. DNI data (direct radiation data) is obtained from insolation intensity meters in conventional measurement, but if the insolation intensity meters come in cloud, the insolation intensity meters with limited quantity cannot accurately represent the distribution of the coming cloud in the full mirror field, and for large commercial power stations, only one or a few insolation intensity meters with high price are generally arranged. Monitoring the high-precision DNI distribution in different areas of the whole field by arranging a large number of insolation intensity meters is not cost-effective. Because the DNI distribution condition of the whole cloud can not be predicted accurately, and the serious consequences of overload caused by temperature rise, temperature drop of the panel of the heat absorber due to the fluctuation of the energy of the lens field can not be borne, a general commercial power station can select to actively reduce the number of the operating mirrors to an absolute safety range when the cloud is coming, and the lens field performance when the cloud is coming is greatly reduced by adopting a conservative operation strategy.
By combining these factors, a low-cost and accurate lens field cloud distribution measurement technology is needed, so that real-time measurement of DNI distribution in the lens field can be effectively optimized to control the lens field in cloud time.
Disclosure of Invention
The application provides a method and a system for measuring cloud distribution in a lens field, which are used for solving the technical problems.
In order to solve the problems, the technical scheme of the application is as follows:
a method for measuring cloud distribution in a lens field comprises the following steps:
s1: acquiring solar radiation data in real time through insolation intensity meters in different areas in a mirror field, acquiring position data and angle data of each heliostat in the mirror field through a monitoring device, and acquiring current data in real time through a photovoltaic panel arranged on each heliostat;
s2: acquiring DNI data on each photovoltaic panel in different areas according to solar radiation data, angle data and current data;
s3: and analyzing and simulating to obtain cloud distribution in the lens field according to the position information and DNI data.
In one embodiment, step S2 further comprises:
by the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d As the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same area share the DHI value and the GHI value in the solar radiation data in the corresponding area, I sc For current data of photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
In one embodiment, step S2 further includes:
under the working condition of sunny days, calibrating the photovoltaic panel on each heliostat to obtain I inclined And I sc Conversion relation f between them.
In one embodiment, under a sunny condition, calibrating the photovoltaic panel on each heliostat to obtain I inclined And I sc The conversion relation f between them further includes:
by the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
calibrating the photovoltaic panel on each certain day mirror to obtain I inclined And I sc A conversion relation f between them;
wherein I is sc Current data acquisition by photovoltaic panel, I inclined Solar radiation data acquired by insolation intensity meters in different areas of the field of view are combined with real-time angular acquisition of the heliostat.
In one embodiment, step S3 further comprises:
and analyzing DNI distribution in the simulated mirror field according to the position information and DNI data, and carrying out cloud distribution through the image display in the mirror field.
In one embodiment, heliostats are disposed parallel to the photovoltaic panels, wherein the number of photovoltaic panels disposed on each heliostat is one or more.
An in-field cloud distribution measurement system, comprising: the solar energy monitoring system comprises a photovoltaic panel arranged on each heliostat, insolation intensity meters arranged in different areas in a mirror field, a monitoring device arranged in the mirror field, a data acquisition end and a cloud coming measuring end, wherein the cloud coming measuring end is in signal connection with the photovoltaic panel, the insolation intensity meters and the monitoring device through the data acquisition end;
the photovoltaic panel is used for acquiring current data in real time, the insolation intensity meter is used for acquiring solar radiation data in real time, and the monitoring device is used for acquiring position data and angle data of each heliostat in the mirror field;
the cloud measuring end is used for acquiring DNI data on each photovoltaic panel in different areas according to solar radiation data, angle data and current data, and acquiring cloud distribution in a lens field according to analysis simulation of position information and DNI data.
In one embodiment, the cloud measurement end is specifically configured to use the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d As the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same area share the DHI value and the GHI value in the solar radiation data in the corresponding area, I sc For current data of photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
In one embodiment, heliostats are disposed parallel to the photovoltaic panels, wherein the number of photovoltaic panels disposed on each heliostat is one or more.
In one embodiment, the output of the photovoltaic panel is electrically connected to the power supply line of the heliostat to directly power the heliostat.
Compared with the prior art, the application has the following advantages and positive effects, and of course, any product implementing the application does not necessarily need to achieve all the following advantages at the same time:
1) According to the application, solar radiation values measured by a few insolation intensity meters are combined with photovoltaic panel current data on heliostats, so that cloud distribution measurement in the whole mirror field can be completed, wherein the characteristics that DHI and GHI overall fluctuation are not large and errors are in an allowable range in the range of an order of magnitude of the mirror field of a photo-thermal power station are ingeniously utilized, and solar irradiance in the whole mirror field is accurately measured at a lower cost, so that the cost of cloud distribution measurement of the mirror field is reduced, real-time measurement of the cloud distribution of the whole mirror field is realized, and therefore, the control of the heliostats in the mirror field is effectively optimized, the safe operation of the whole power station is ensured, and the utilization rate of light resources is greatly improved;
2) The photovoltaic panel disclosed by the application is not only used for measuring cloud distribution in a field, but also can directly supply power to heliostats, so that field station power is saved, and materials and construction cost of power supply cables are also saved;
3) The application has no forced requirement on the quantity arrangement of the photovoltaic panels, and different power stations can be freely designed according to the situation of the mirror fields, thereby being beneficial to optimizing the comprehensive design of the mirror fields of the photo-thermal power station and improving the utilization rate of light resources.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application.
Fig. 1 is a schematic diagram of a tower solar thermal power generation;
FIG. 2 is a schematic flow chart of a method for measuring in-field cloud distribution of the present application;
FIG. 3 is a schematic diagram of a system for measuring in-field cloud distribution according to the present application;
fig. 4 is a schematic view of heliostat angle information of a system for measuring in-field cloud distribution of the application.
Reference numerals illustrate:
1-heliostats; 2-insolation intensity meter; 3-a data acquisition end; 4-cloud measuring end.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will explain the specific embodiments of the present application with reference to the accompanying drawings. It is evident that the drawings in the following description are only examples of the application, from which other drawings and other embodiments can be obtained by a person skilled in the art without inventive effort.
For the sake of simplicity of the drawing, the parts relevant to the present application are shown only schematically in the figures, which do not represent the actual structure thereof as a product. Additionally, in order to simplify the drawing for ease of understanding, components having the same structure or function in some of the drawings are shown schematically with only one of them, or only one of them is labeled. Herein, "a" means not only "only this one" but also "more than one" case.
The application provides a method and a system for measuring cloud distribution in a lens field, which are further described in detail below with reference to the accompanying drawings and specific embodiments.
Referring to fig. 2, the application provides a method for measuring cloud distribution in a lens field, which comprises the following steps:
s1: acquiring solar radiation data in real time through insolation intensity meters in different areas in a mirror field, acquiring position data and angle data of each heliostat in the mirror field through a monitoring device, and acquiring current data in real time through a photovoltaic panel arranged on each heliostat;
s2: acquiring DNI data on each photovoltaic panel in different areas according to solar radiation data, angle data and current data;
s3: and analyzing and simulating to obtain cloud distribution in the lens field according to the position information and DNI data.
The present embodiment will now be described in detail, but is not limited thereto.
As shown in fig. 1, a tower solar thermal power station needs to track sunlight by driving a large number of heliostats to collect sunlight on the surface of a heat absorber positioned at the top end of a heat absorption tower, heat a heat absorption working medium, convert light energy into heat energy, and further convert the heat energy into electric energy, so as to realize solar thermal power generation, wherein excessive heat energy collected by the heat absorber of the heat absorption tower can generate a safety problem, and insufficient heat energy collected can affect the power generation efficiency, so that the tower solar thermal power station needs to collect more heat energy as much as possible under the condition of safe power generation to efficiently perform heat energy power generation, which needs to accurately control the heliostats in the whole heliostat field, however, needs to accurately control the number of heliostats, which must be distributed in cloud in consideration of external environment, because cloud layer is one of important factors affecting the heat energy collected by the heat absorber of the heat absorption tower.
Therefore, the method for measuring the cloud coming distribution in the mirror field is suitable for measuring the cloud coming distribution in the mirror field in real time in the tower type solar thermal power station, so that the control of the cloud coming mirror field is effectively optimized, heliostats in a lower DNI area are projected to a heat absorber according to actual DNI and energy requirements, when the DNI of a part of the cloud evacuation area rises, heliostats corresponding to excessive energy are removed according to the result of actual DNI measurement, the operation strategy of the whole power station is further optimized, the safe operation of equipment is guaranteed, and the utilization rate of light resources is improved.
1) Specifically, the step S1 is as follows:
s1: solar radiation data are acquired in real time through insolation intensity meters in different areas in the mirror field, position data and angle data of each heliostat in the mirror field are acquired through a monitoring device, and current data are acquired in real time through photovoltaic panels arranged on each heliostat.
According to the size of the lens field scale, 1 or more insolation intensity meters are required to be arranged in the lens field and are respectively arranged in different areas of the lens field, so that measurement data can be provided for DHI values of different areas of the lens field, and the calculation accuracy of cloud distribution of the lens field is improved. In which the insolation intensity meter is used for measuring GHI (total horizontal radiation), DNI (direct radiation) and DHI (scattered radiation) values of the device position, in the region range of the order of magnitude of the photo-thermal power station mirror field, the whole mirror field shares the DHI and GHI measurement results of several insolation intensity meters due to the characteristic that the DHI generally fluctuates little, so that the DNI of different regions of the mirror field can be predicted in real time with relatively high precision in a cheap manner.
The monitoring device of this embodiment is configured to obtain position and angle information of each heliostat, as shown in fig. 4, where the angle information includes an angle θ between a direct solar ray and a normal direction of a mirror surface and an angle β between the mirror surface and the ground, and the position of the heliostat is a coordinate in a re-mirror field of the heliostat.
The photovoltaic panels of the embodiment are arranged on each heliostat, the plane of the photovoltaic panels is parallel to the mirror surface of the heliostat, and the ratio of the short-circuit current of the photovoltaic panels to the area of the photovoltaic panels is irrelevant to the number of the photovoltaic panels, so that the arrangement of different numbers of photovoltaic panels on different heliostats does not influence the result, and the photovoltaic panels can be arranged in the available area as much as possible, thereby improving the utilization rate of light resources in Gao Jing fields. Specifically, in order to ensure that the solar energy resources are utilized as much as possible in the field, the number of photovoltaic panels on each heliostat is 1 or more, for example, the interval between heliostats of the outer ring of the field is larger, the arrangement of the photovoltaic panels can be increased to compensate for the loss of solar energy, and the design of the heliostats and the field is determined. In addition, the photovoltaic panel can directly supply power for heliostats, so that the station service electricity of a field is saved, and the materials and construction cost of the power supply cable are saved.
2) Specifically introduced is step S2:
s2: and acquiring DNI data on each photovoltaic panel in different areas according to the solar radiation data, the angle data and the current data.
The embodiment short-circuit current I passing through the photovoltaic panel sc And total radiation I on inclined surfaces inclined Is defined by the relation formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d As the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same area share the DHI value and the GHI value in the solar radiation data in the corresponding area, I sc For current data of photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
Specifically, in the present embodiment, under the working condition of multiple clouds, the method is smartThe unique unknown quantity is solved from the formula by utilizing the characteristic that the total fluctuation of DHI is not large in the range of the order of magnitude of the photo-thermal power station lens field and the total lens field shares the DHI and GHI measurement results of a plurality of insolation intensity meters. The main error of this solution is, however, that the DHI and GHI measurements, which closely share several insolation intensity meters, are in the full field range, as described above, where the DHI overall fluctuations are negligible in the region of the order of magnitude of the photo-thermal power station field, and in addition, where I inclined In, I g The weight is very small. Examples: even if the error of the shared GHI is 50%, β=30°, ρ=0.2, I g The final error of (2) was 2.5%. Since the error of the actual shared GHI is less than 50%, the error caused by shared GHI is smaller than the above value and can be ignored in practical application.
Further, in this embodiment, under a sunny condition, the photovoltaic panel on each certain day mirror needs to be calibrated to obtain I inclined And I sc Conversion relation f between them. Specifically, the present embodiment short-circuits current I through the photovoltaic panel sc And total radiation I on inclined surfaces inclined Is defined by the relation formula:
I sc ＝f(I inclined )
I g ＝ρGHI
calibrating the photovoltaic panel on each certain day mirror to obtain I inclined And I sc A conversion relation f between the voltage-plate-based short-circuit currents I sc And total radiation I on inclined surfaces inclined Is in the condition of full sunny day, the left side I of the equation sc Can be acquired by a photovoltaic panel on each heliostat, and I is on the right side of the equation inclined The data collected by the insolation intensity meter can be combined with the real-time angle of the heliostat. Combining the above data, I can be solved for each heliostat inclined And I sc Conversion relation f between them.
3) Specifically introduced is step S3:
s3: and analyzing and simulating to obtain cloud distribution in the lens field according to the position information and DNI data.
According to the embodiment, DNI distribution in a mirror field is analyzed according to the position information and DNI data, cloud distribution is achieved through an image display mirror field, so that the condition of the arrival cloud distribution can be intuitively known through a mirror field DNI distribution diagram, meanwhile, for heliostat control of the mirror field, heliostat control can be conducted according to DNI values on each heliostat in the mirror field DNI distribution diagram, so that control of the mirror field when cloud is achieved is effectively optimized, heliostats in a region with lower DNI are projected to a heat absorber according to actual DNI and energy requirements, when cloud evacuation is conducted, heliostats corresponding to excessive energy are removed according to the result of actual DNI measurement, the operation strategy of the whole power station is further optimized, the safe operation of equipment is guaranteed, and the utilization rate of light resources is improved.
Referring to fig. 3, the present application provides an in-field cloud distribution measurement system based on the above embodiment, including: the solar energy monitoring system comprises a photovoltaic plate arranged on each heliostat 1, insolation intensity meters 2 arranged in different areas in a mirror field, a monitoring device arranged in the mirror field, a data acquisition end 3 and a cloud coming measurement end 4, wherein the cloud coming measurement end 4 is in signal connection with the photovoltaic plate, the insolation intensity meters 2 and the monitoring device through the data acquisition end 3;
the photovoltaic panel is used for acquiring current data in real time, the insolation intensity meter 2 is used for acquiring solar radiation data in real time, and the monitoring device is used for acquiring position data and angle data of each heliostat in the mirror field;
the cloud measuring end 4 is used for acquiring DNI data on each photovoltaic panel in different areas according to solar radiation data, angle data and current data, and acquiring cloud distribution in a lens field according to analysis simulation of position information and DNI data.
The present embodiment will now be described in detail with reference to the measurement principle, but is not limited thereto:
the solar radiation data obtained by real-time measurement is sent to the data acquisition end by the insolation intensity meter, and the data acquisition end can be a data acquisition server, wherein 1 or more insolation intensity meters are required to be arranged in the mirror field according to the size of the mirror field, and the insolation intensity meters are respectively arranged in different areas in the mirror field so as to have measurement data for DHI values of different areas of the mirror field, thereby improving the calculation precision of cloud distribution of the mirror field;
the monitoring device sends the position and angle information of each heliostat to the data acquisition server in real time;
the photovoltaic panels receive solar radiation to generate current and send current data to the data acquisition server in real time, the photovoltaic panels are arranged on each heliostat, the planes of the photovoltaic panels are parallel to the heliostat mirrors, and the ratio of short-circuit current of the photovoltaic panels to the areas of the photovoltaic panels is irrelevant to the number of the photovoltaic panels, so that different numbers of photovoltaic panels are configured on different heliostats without influencing results, and the photovoltaic panels can be arranged in available areas as much as possible, so that the utilization rate of light resources in Gao Jing fields is improved. Specifically, in order to ensure that the solar energy resources are utilized as much as possible in the field, the number of photovoltaic panels on each heliostat is 1 or more, for example, the interval between heliostats of the outer ring of the field is larger, the arrangement of the photovoltaic panels can be increased to compensate for the loss of solar energy, and the design of the heliostats and the field is determined. In addition, the photovoltaic panel can directly supply power for heliostats, so that the station service electricity of a field is saved, and the materials and construction cost of the power supply cable are saved.
The photovoltaic panel on each heliostat needs to be calibrated under the working condition of sunny days, and the cloud measurement end can be a computer control end, specifically, the computer control end of the embodiment passes through the short-circuit current I of the photovoltaic panel sc And total radiation I on inclined surfaces inclined Is defined by the relation formula:
I sc ＝f(I inclined )
I g ＝ρGHI
calibrating the photovoltaic panel on each certain day mirror to obtain I inclined And I sc Conversion relation f between, whereinShort-circuit current I sc And total radiation I on inclined surfaces inclined Is in the condition of full sunny day, the left side I of the equation sc Can be acquired by a photovoltaic panel on each heliostat, and I is on the right side of the equation inclined The data collected by the insolation intensity meter can be combined with the real-time angle of the heliostat. Combining the above data, I can be solved for each heliostat inclined And I sc Conversion relation f between them.
After calibration, the computer control end calculates DNI data on each photovoltaic panel according to the real-time solar radiation data, the angle data of each heliostat and the current data of each photovoltaic panel transmitted by the data acquisition server. Specifically, the present embodiment short-circuits current I through the photovoltaic panel sc And total radiation I on inclined surfaces inclined Is defined by the relation formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d As the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same area share the DHI value and the GHI value in the solar radiation data in the corresponding area, I sc For current data of photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
Specifically, in the present embodiment, under the cloudy sky working condition, the characteristic that the DHI overall fluctuation is not large in the region range of the order of magnitude of the photo-thermal power station mirror field is ingeniously utilized, and the full mirror field shares the DHI and GHI measurement results of several insolation intensity meters, so that the above-mentioned method is usedThe unique unknowns are solved in the formula. The main error of this solution is, however, that the DHI and GHI measurements, which closely share several insolation intensity meters, are in the full field range, as described above, where the DHI overall fluctuations are negligible in the region of the order of magnitude of the photo-thermal power station field, and in addition, where I inclined In, I g The weight is very small. Examples: even if the error of the shared GHI is 50%, β=30°, ρ=0.2, I g The final error of (2) was 2.5%. Since the error of the actual shared GHI is less than 50%, the error caused by shared GHI is smaller than the above value and can be ignored in practical application.
And finally, the computer control end analyzes and simulates DNI distribution in the mirror field according to the position information of each mirror in the mirror field transmitted by the data acquisition server and DNI data corresponding to each heliostat calculated before, and intuitively displays the result in an image mode.
According to the embodiment, the solar radiation value measured by a few insolation intensity meters is combined with the current data of the photovoltaic panel on the heliostat, so that the measurement of cloud distribution in the whole mirror field can be completed, wherein the characteristic that DHI and GHI in the range of the region of the order of magnitude of the mirror field of the photo-thermal power station are small in overall fluctuation and error of the DHI and GHI is in the allowable range is ingeniously utilized, and the solar irradiance in the whole mirror field is accurately measured at a lower cost, so that the cost of cloud distribution measurement of the mirror field is reduced, the real-time measurement of cloud distribution of the whole mirror field is realized, the control of the heliostat in the mirror field is effectively optimized, and the utilization rate of light resources is greatly improved while the safe operation of the whole power station is ensured.
The embodiments of the present application have been described in detail with reference to the drawings, but the present application is not limited to the above embodiments. Even if various changes are made to the present application, it is within the scope of the appended claims and their equivalents to fall within the scope of the application.
Claims (8)
1. The method for measuring the cloud distribution in the lens field is characterized by comprising the following steps of:
s1: acquiring solar radiation data in real time through insolation intensity meters in different areas in a mirror field, acquiring position data and angle data of each heliostat in the mirror field through a monitoring device, and acquiring current data in real time through a photovoltaic panel arranged on each heliostat;
s2: acquiring DNI data on each photovoltaic panel in different areas according to the solar radiation data, the angle data and the current data;
s3: analyzing and simulating to obtain cloud distribution in a lens field according to the position information and the DNI data;
the step S2 further includes:
by the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d For the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same region share the DHI value and the GHI value in the solar radiation data in the corresponding region, I sc For the current data of the photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
2. The in-field cloud distribution measurement method according to claim 1, wherein the step S2 further comprises:
under the working condition of sunny days, calibrating the photovoltaic panel on each heliostat to obtain I inclined And I sc Between turns ofAnd changing the relation f.
3. The method for measuring the in-field cloud distribution of claim 2, wherein the calibrating the photovoltaic panel on each heliostat under the sunny condition is performed to obtain I inclined And I sc The conversion relation f between them further includes:
by the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
calibrating the photovoltaic panel on each certain day mirror to obtain I inclined And I sc A conversion relation f between them;
wherein I is sc The current data acquired through the photovoltaic panel is acquired, I inclined And acquiring solar radiation data acquired by insolation intensity meters in different areas in the field of the heliostat by combining the real-time angles of the heliostat.
4. A lens field in-cloud distribution measurement method according to any one of claims 1 to 3, wherein said step S3 further comprises:
and analyzing DNI distribution in the simulated mirror field according to the position information and the DNI data, and carrying out cloud distribution through the image display in the mirror field.
5. A method of in-field cloud distribution measurement according to any of claims 1 to 3, wherein heliostats are arranged in parallel with the photovoltaic panels, wherein the number of photovoltaic panels provided on each heliostat is one or more.
6. An in-field cloud distribution measurement system, comprising: the solar energy monitoring system comprises a photovoltaic plate arranged on each heliostat, insolation intensity meters arranged in different areas in a mirror field, a monitoring device arranged in the mirror field, a data acquisition end and a cloud coming measuring end, wherein the cloud coming measuring end is in signal connection with the photovoltaic plate, the insolation intensity meters and the monitoring device through the data acquisition end;
the photovoltaic panel is used for acquiring current data in real time, the insolation intensity meter is used for acquiring solar radiation data in real time, and the monitoring device is used for acquiring position data and angle data of each heliostat in the mirror field;
the cloud coming measuring end is used for acquiring DNI data on each photovoltaic panel in different areas according to the solar radiation data, the angle data and the current data, and analyzing and simulating acquisition of cloud coming distribution in a mirror field according to the position information and the DNI data; the cloud coming measuring end is specifically used for measuring the cloud coming through the formula:
I sc ＝f(I inclined )
I g ＝ρGHI
acquiring DNI data on each photovoltaic panel in different areas;
wherein I is b To obtain DNI data, I d For the DHI value in the solar radiation data, GHI is the GHI value in the solar radiation data, and the photovoltaic panels in the same region share the DHI value and the GHI value in the solar radiation data in the corresponding region, I sc For the current data of the photovoltaic panel, I inclined Is the total radiation on the inclined surface of the photovoltaic panel, f is I inclined And I sc Conversion relation between the mirror and the mirror, theta is the included angle between the direct sunlight and the mirror, beta is the included angle between the mirror and the ground, I g For ground reflected radiation, ρ is ground reflectivity.
7. The in-field cloud distribution measurement system of claim 6, wherein heliostats are disposed parallel to the photovoltaic panels, wherein the number of photovoltaic panels disposed on each heliostat is one or more.
8. The in-field cloud distribution measurement system of claim 6, wherein the output of the photovoltaic panel is electrically connected to a power supply line of the heliostat to directly power the heliostat.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282100.4A CN114034128B (en) | 2021-11-01 | 2021-11-01 | Method and system for measuring cloud distribution in lens field |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111282100.4A CN114034128B (en) | 2021-11-01 | 2021-11-01 | Method and system for measuring cloud distribution in lens field |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114034128A CN114034128A (en) | 2022-02-11 |
| CN114034128B true CN114034128B (en) | 2023-12-12 |
Family
ID=80142427
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111282100.4A Active CN114034128B (en) | 2021-11-01 | 2021-11-01 | Method and system for measuring cloud distribution in lens field |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114034128B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014016727A2 (en) * | 2012-07-23 | 2014-01-30 | Brightsource Industries (Israel) Ltd. | Method and apparatus for operating a solar energy system including monitoring of cloud shading |
| CN103676962A (en) * | 2012-09-24 | 2014-03-26 | 亮源工业（以色列）有限公司 | Method and apparatus for mapping cloud shading on the ground in a large area |
| CN103712355A (en) * | 2013-12-25 | 2014-04-09 | 青海中控太阳能发电有限公司 | Efficient protective cover for tower-type solar heat absorber |
| CN207335212U (en) * | 2017-09-13 | 2018-05-08 | 首航节能光热技术股份有限公司 | A kind of obnubilation for solar energy acquisition region prejudges fore device |
| CN109871996A (en) * | 2019-02-14 | 2019-06-11 | 浙江中控太阳能技术有限公司 | A kind of tower photo-thermal power station mirror field cloud monitoring System and method for based on photovoltaic panel |
| CN214311392U (en) * | 2021-03-30 | 2021-09-28 | 首航高科能源技术股份有限公司 | Real-time cloud amount monitoring system based on heliostat and photovoltaic panel combination |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| ES2369594B1 (en) * | 2009-12-01 | 2012-09-07 | Abengoa Solar New Technologies, S.A. | METHOD OF DISTRIBUTION OF HELIOSTATS IN TORRE PLANT. |
| US9170033B2 (en) * | 2010-01-20 | 2015-10-27 | Brightsource Industries (Israel) Ltd. | Method and apparatus for operating a solar energy system to account for cloud shading |
-
2021
- 2021-11-01 CN CN202111282100.4A patent/CN114034128B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014016727A2 (en) * | 2012-07-23 | 2014-01-30 | Brightsource Industries (Israel) Ltd. | Method and apparatus for operating a solar energy system including monitoring of cloud shading |
| CN104364588A (en) * | 2012-07-23 | 2015-02-18 | 亮源工业（以色列）有限公司 | Heliostat and photo-sensitive panel being operated at the same time |
| CN103676962A (en) * | 2012-09-24 | 2014-03-26 | 亮源工业（以色列）有限公司 | Method and apparatus for mapping cloud shading on the ground in a large area |
| CN103712355A (en) * | 2013-12-25 | 2014-04-09 | 青海中控太阳能发电有限公司 | Efficient protective cover for tower-type solar heat absorber |
| CN207335212U (en) * | 2017-09-13 | 2018-05-08 | 首航节能光热技术股份有限公司 | A kind of obnubilation for solar energy acquisition region prejudges fore device |
| CN109871996A (en) * | 2019-02-14 | 2019-06-11 | 浙江中控太阳能技术有限公司 | A kind of tower photo-thermal power station mirror field cloud monitoring System and method for based on photovoltaic panel |
| CN214311392U (en) * | 2021-03-30 | 2021-09-28 | 首航高科能源技术股份有限公司 | Real-time cloud amount monitoring system based on heliostat and photovoltaic panel combination |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114034128A (en) | 2022-02-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gu et al. | A comprehensive review and outlook of bifacial photovoltaic (bPV) technology | |
| Dolara et al. | Performance analysis of a single-axis tracking PV system | |
| Luque et al. | Concentrator photovoltaics | |
| Coventry | Performance of a concentrating photovoltaic/thermal solar collector | |
| Zhang et al. | Experimental and simulation studies on a novel compound parabolic concentrator | |
| CN103020766A (en) | Photovoltaic power generation planning method for photovoltaic power generation system | |
| Gu et al. | Experimental investigation of the bifacial photovoltaic module under real conditions | |
| Fernandes et al. | Cell string layout in solar photovoltaic collectors | |
| Wang et al. | Design and performance study on a large-scale hybrid CPV/T system based on unsteady-state thermal model | |
| Del Col et al. | Experimental and numerical study of a parabolic trough linear CPVT system | |
| Felsberger et al. | Design and testing of concentrated photovoltaic arrays for retrofitting of solar thermal parabolic trough collectors | |
| Theristis et al. | Performance of a concentrating photovoltaic monomodule under real operating conditions: Part I–Outdoor characterisation | |
| CN114943371A (en) | Principal component analysis-decision tree-based photovoltaic power station power generation prediction method and device | |
| Ghoneim et al. | Performance analysis of high-concentrated multi-junction solar cells in hot climate | |
| CN105485939B (en) | Measuring and calculating method for thermoelectric output performance of solar concentrating photovoltaic photothermal cogeneration system | |
| CN114034128B (en) | Method and system for measuring cloud distribution in lens field | |
| CN109813754B (en) | System and method for measuring and optimizing heat absorber truncation efficiency | |
| Koentopp et al. | Optimized module design: A study of encapsulation losses and the influence of design parameters on module performance | |
| WO2023024822A1 (en) | Low-cost high-precision measurement method for solar radiation | |
| Li et al. | Evaluation index system for photovoltaic systems statistical characteristics under hazy weather conditions in central China | |
| CN105447325A (en) | Method for calculating cost and recovery period of solar concentrating photovoltaic and photothermal cogeneration system | |
| Dupeyrat et al. | Recent advances in the development and testing of hybrid pv-thermal collectors | |
| Mo et al. | Performance of a passively cooled Fresnel lens concentrating photovoltaic module | |
| Kalhoro et al. | An economical and relatively efficient implementation of the Real–Time Solar Tracking System | |
| Kandil et al. | Assessment of high concentrated photovoltaic/thermal collector in hot climate |
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 |