CN113595503B - Intelligent optimization cooling system for photovoltaic power station - Google Patents
Intelligent optimization cooling system for photovoltaic power station Download PDFInfo
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- CN113595503B CN113595503B CN202110891313.0A CN202110891313A CN113595503B CN 113595503 B CN113595503 B CN 113595503B CN 202110891313 A CN202110891313 A CN 202110891313A CN 113595503 B CN113595503 B CN 113595503B
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- 238000001816 cooling Methods 0.000 title claims abstract description 23
- 238000005457 optimization Methods 0.000 title claims abstract description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 228
- 239000011159 matrix material Substances 0.000 claims abstract description 117
- 238000012360 testing method Methods 0.000 claims abstract description 41
- 238000003860 storage Methods 0.000 claims abstract description 33
- 239000007921 spray Substances 0.000 claims abstract description 30
- 238000005070 sampling Methods 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 7
- 238000002474 experimental method Methods 0.000 claims description 5
- 239000012535 impurity Substances 0.000 claims description 4
- 239000003643 water by type Substances 0.000 claims description 3
- 239000000428 dust Substances 0.000 abstract description 5
- 238000010248 power generation Methods 0.000 description 11
- 238000002347 injection Methods 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013084 building-integrated photovoltaic technology Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/40—Thermal components
- H02S40/42—Cooling means
- H02S40/425—Cooling means using a gaseous or a liquid coolant, e.g. air flow ventilation, water circulation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/10—Cleaning arrangements
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- 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
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention discloses an intelligent optimization cooling system for a photovoltaic power station, which relates to the technical field of photovoltaics, wherein a photovoltaic power station matrix in the system is longitudinally watertight and is paved on a support along the upper edge of the photovoltaic power station matrix in a downward inclination manner, a water flow control device performs test statistics and dynamic fitting deduction on an experimental longitudinal matrix group in the photovoltaic power station matrix through a multipoint distributed water flow control mode, determines water flow control data corresponding to the highest generated energy, is applied to adjusting spray water flow of the main body longitudinal matrix group, and water flowing down on the photovoltaic power station matrix is recycled into a water storage device to form circulation, so that the temperature of a photovoltaic module can be reduced to increase generated energy, the generated energy of the whole power station is maximized, dust on the photovoltaic module can be removed, and the actual generated energy loss of the photovoltaic module is reduced again.
Description
Technical Field
The invention relates to the technical field of photovoltaics, in particular to an intelligent optimization cooling system of a photovoltaic power station.
Background
With the rising price of energy, the development and utilization of new energy have become a major topic of research in the current energy field. Because solar energy has the advantages of no pollution, no regional limitation, inexhaustible and the like, research on solar power generation becomes a main direction for developing and utilizing new energy, and power generation by utilizing a solar module is a main mode for using solar energy by people at present.
The photovoltaic module generates heat in the power generation process, the power generation efficiency of the photovoltaic module becomes low along with the increase of the temperature, the power generation capacity is reduced by about 0.38 to 0.48 percent when the temperature of the photovoltaic module is increased by 1 ℃, the temperature of the photovoltaic module is up to more than 60 ℃ in hot summer, and the actual power generation power of the module is reduced by 13.3 percent. Along with popularization of building photovoltaic integration, BIPV photovoltaic modules are increasingly applied, air at the bottom of a roof photovoltaic module does not circulate or only leaves little space for heat dissipation, so that the temperature of the photovoltaic module is increased more and can reach 70 ℃, and the practical power generation efficiency of a photovoltaic power station is reduced more and the service life of the photovoltaic module is reduced.
The actual photovoltaic module still faces the pollution influence of dust when outdoor application work, and under not wasing for a long time, the dust on surface just influences the luminousness on surface, finally influences the actual generated energy of subassembly, leads to the power station income to descend. The concept of cooling the photovoltaic surface by water has been proposed for a long time, but no real grounding method is available for realizing and controlling the photovoltaic surface.
Disclosure of Invention
Aiming at the problems and the technical requirements, the inventor provides an intelligent optimization cooling system of a photovoltaic power station, and the technical scheme of the intelligent optimization cooling system is as follows:
an intelligent optimization cooling system for a photovoltaic power station, the system comprising: the system comprises a photovoltaic power station square matrix which is longitudinally watertight, water storage equipment, a spray head and water flow control equipment, wherein the photovoltaic power station square matrix is downwards obliquely paved on a bracket along the upper edge of the photovoltaic power station square matrix, the photovoltaic power station square matrix comprises an experiment longitudinal square matrix group and a main body longitudinal square matrix group, and the spray head is arranged on the upper edge of the photovoltaic power station square matrix;
the water flow control equipment controls the spray heads at the experimental longitudinal square matrix group through a multipoint distribution water flow control mode to spray water on the surface of the experimental longitudinal square matrix group according to different water flow control data, calculates square matrix steady-state generated energy of the experimental longitudinal square matrix group under different water flow control data, and determines water flow control data corresponding to the optimal generated energy to obtain as target water flow control data;
the water flow control device controls the spray heads at the longitudinal matrix groups of the main body in a multi-point distributed water flow control mode to spray water in the water storage device on the surface of the longitudinal matrix groups of the main body according to target water flow control data, and water flowing down on the photovoltaic power station matrix is recovered to the water storage device.
The target water flow control data comprise the flow rate, the flow velocity and the water outlet state of the water flow, and the water outlet state comprises the water outlet width and/or the water outlet height.
According to the further technical scheme, the water flow control equipment performs a plurality of tests on the experimental longitudinal square matrix group, the tests are performed in an optimal data interval according to corresponding sampling step sizes in each test, the square matrix steady-state generating capacity of the experimental longitudinal square matrix group is determined, the data interval where the maximum generating capacity is located is determined to be the optimal data interval in the next test, the sampling step sizes corresponding to the next test are smaller than the sampling step sizes corresponding to the current test, and the target water flow control data is determined when the preset precision is reached in the test.
When a preset condition is met, the water flow control device redetermines target water flow control data, and sprays water in the water storage device on the surface of the main body longitudinal square matrix according to the redetermined target water flow control data;
wherein the predetermined condition comprises after a predetermined time interval and/or meeting a predetermined weather condition; the predetermined meteorological condition is determined to be satisfied when the temperature fluctuation range exceeds the temperature difference threshold value with respect to the time when the target water flow control data was last determined, and/or when the wind speed fluctuation range exceeds the wind speed difference threshold value with respect to the time when the target water flow control data was last determined.
Its further technical scheme is, and retaining equipment is including setting up the bottom cistern in photovoltaic power plant square matrix below at least, and rivers control equipment sprays water at photovoltaic power plant square matrix surface via the shower nozzle through the water pump in the bottom cistern, and the water that flows down on the photovoltaic power plant square matrix is retrieved to the bottom cistern.
Its further technical scheme does, and retaining equipment still includes the retaining jar of setting on photovoltaic power plant square matrix upper edge, and the bottom of the retaining jar of photovoltaic power plant square matrix upper edge is connected to the shower nozzle, the water pump in retaining jar intercommunication bottom cistern, rivers controlgear control water pump in the water injection retaining jar of water in the bottom cistern at predetermined time quantum.
The further technical scheme is that a filter screen is further arranged in the bottom reservoir, a water pump is arranged above the filter screen, water flowing down on the photovoltaic power station square matrix is recycled below the filter screen at the bottom of the bottom reservoir, and the recycled water is injected into the spray head through the water pump after being filtered by the filter screen.
Its further technical scheme does, and the bottom of bottom cistern still is provided with the drain, discharges the impurity below the filter screen of bottom cistern bottom when the drain is opened.
The further technical proposal is that the bottom reservoir is directly realized by natural water area.
Its further technical scheme does, and the system still includes water leakage groove and downcomer, and the water leakage groove sets up in the lower edge department of photovoltaic power plant square matrix, and the water leakage groove is through downcomer intercommunication to retaining equipment, and the water leakage groove is used for collecting water and/or the rainwater that flows down on the photovoltaic power plant square matrix to retrieve to retaining equipment in through the downcomer.
The beneficial technical effects of the invention are as follows:
the application discloses cooling system is optimized to photovoltaic power plant intelligence, this system is deduced through experimental statistics developments fit and is confirmed the rivers control data that the highest generated energy corresponds, can in time adjust the rivers that spray, reduces photovoltaic power plant square matrix temperature in order to increase the generated energy, makes whole power plant generated energy maximize, can also clear away the dust on the photovoltaic power plant square matrix simultaneously, promotes the generated energy of photovoltaic power plant square matrix once more, also can remove the expense of periodic cleaning. The wastewater and rainwater collection function is utilized to form a circulating water system, so that the water resource utilization rate can be improved, the water cost is saved, the use cost of the photovoltaic power station square matrix is reduced, meanwhile, the water injection setting can be effectively utilized in peak-valley time periods, and the cost minimization is achieved.
Drawings
FIG. 1 is a block diagram of one embodiment of a photovoltaic power plant intelligent optimization cooling system of the present application.
Fig. 2 is a schematic layout of a photovoltaic power plant matrix.
FIG. 3 is a first test result in determining target water flow control data in one example.
FIG. 4 is a second test result in determining target water flow control data in one example.
Fig. 5 is a third test result in determining target water flow control data in one example.
FIG. 6 is a block diagram of another embodiment of a photovoltaic power plant intelligent optimization cooling system of the present application.
Detailed Description
The following describes the embodiments of the present invention further with reference to the drawings.
The application discloses photovoltaic power plant intelligence optimization cooling system please refer to fig. 1 and 6, and this system includes photovoltaic power plant square matrix 1, retaining equipment, shower nozzle 2 and rivers controlgear 3 that vertically do not leak. The photovoltaic power station square matrix 1 is laid on the support in a downward inclination mode along the upper edge of the photovoltaic power station square matrix, the direction from the upper edge to the lower edge of the photovoltaic power station square matrix is defined as the longitudinal direction, the photovoltaic power station square matrix is longitudinally arranged in a plurality of rows, a plurality of columns are arranged along the trend of the upper/lower edges, the photovoltaic power station square matrix is arranged on an eave as an example in fig. 2, the upper edge is commonly referred to as an ridge, the lower edge is referred to as an eave, and the photovoltaic power station square matrix can comprise a bilaterally symmetrical arrangement structure. The photovoltaic power station square matrix comprises an experimental longitudinal square matrix group and a main body longitudinal square matrix group, wherein the longitudinal square matrix group refers to that components are electrically connected longitudinally, namely, longitudinal upper and lower components are electrically connected longitudinally, the number of the longitudinal components can be 1 to N, and N is a positive integer larger than 1. The experimental longitudinal square matrix group and the main longitudinal square matrix group respectively comprise a plurality of columns and have the characteristic of longitudinal water leakage, the scale of the experimental longitudinal square matrix group is smaller than that of the main longitudinal square matrix group, as the dotted line part in the figure 2 is the experimental longitudinal square matrix group, and the rest part is the main longitudinal square matrix group. The spray head 2 is arranged at the upper edge of the photovoltaic power station square matrix.
The water flow control device controls the spray heads at the experimental longitudinal square matrix group through a multipoint distribution water flow control mode to spray water on the surface of the experimental longitudinal square matrix group according to different water flow control data, and statistics is carried out on square matrix steady-state generated energy of the experimental longitudinal square matrix group under different water flow control data, wherein the square matrix steady-state generated energy is generated energy obtained after testing for a preset time, and the preset time can be set according to user definition, for example, 10 minutes, 30 minutes or 1 hour. And determining water flow control data corresponding to the optimal generated energy as target water flow control data. Specifically, the water flow control device calculates the corresponding square matrix steady-state generating capacity through a multipoint distribution control water flow mode, calculates ideal water flow control data through calculating and simulating the fitting optimal generating capacity, dynamically adjusts the multipoint distribution control water flow mode according to the calculated water flow control data, recollects the square matrix steady-state generating capacity of the statistical experiment longitudinal square matrix group, determines the optimal generating capacity through comparison and optimization, and locks the water flow control data at the moment.
The target water flow control data are water flow control data corresponding to the highest generated energy determined according to the test statistical data, and optionally, the target water flow control data comprise the flow rate, the flow velocity and the water outlet state of the water flow, the water outlet state comprises the water outlet width and/or the water outlet height, and the water outlet state with the higher water outlet state can enable water to uniformly cover the surface of the photovoltaic power station square matrix, so that the phenomenon of water mist on the surface of the photovoltaic power station square matrix is reduced. Meanwhile, the operation is performed in a front water spraying mode of the photovoltaic power station square matrix, dust on the photovoltaic power station square matrix can be removed while the temperature of the photovoltaic power station square matrix is reduced, the power generation of the photovoltaic power station square matrix is promoted again, and the cost of periodic cleaning can be saved.
In one embodiment, the test procedure is: the water flow control equipment performs a plurality of tests on the experimental longitudinal square matrix group, performs the tests in the optimal data interval according to the corresponding sampling step length in each test, determines the square matrix steady-state generated energy of the experimental longitudinal square matrix group, determines the data interval where the maximum generated energy is located as the optimal data interval in the next test, and the interval range of the data interval where the maximum generated energy is located can be defined. And the sampling step length corresponding to the next test is smaller than the sampling step length corresponding to the current test, so that the precision of the next test is higher than that of the current test, and the target water flow control data is determined when the test reaches the preset precision. The optimal data interval at the first test may be a preset interval.
For example, taking the case of keeping the water flow state unchanged and only adjusting the water flow size, under the same unit, the first test is performed within the range of 1-5, when the water flow sizes are 1, 2, 3, 4 and 5 in sequence according to the sampling step length of 1, and the test result is as shown in fig. 3, and the maximum power generation amount when the water flow size is 3 is determined, so that the data interval where 2-4 is located can be selected as the optimal data interval in the next test. In the second test, tests are sequentially carried out in the range of 2-4 of the optimal data interval according to the sampling step length of 0.5 when the water flow size is 2, 2.5, 3, 2.5 and 4, the test result is shown in fig. 4, and the maximum power generation amount when the water flow size is 3 is determined, so that the data interval in which 2.5-3.5 is located can be selected as the optimal data interval in the next test. In the third test, the tests are sequentially carried out within the range of 2.5-3.5 of the optimal data interval according to the sampling step length of 0.1, the test results are shown in fig. 5, the maximum generated energy when the water flow is determined to be 3.2, and the test has reached the preset precision, so that the water flow with the optimal water flow length of 3.2 can be determined. Similar adjustments are made to other parameters, whereby target water flow control data may be obtained.
After the target water flow control data are determined, the water flow control equipment controls the spray heads at the longitudinal matrix groups of the main body in a multipoint distribution control water flow mode, and water in the water storage equipment is sprayed on the surfaces of the longitudinal matrix groups of the main body according to the target water flow control data, namely, optimal water flow cooling control is carried out on the surfaces of all the photovoltaic power station matrixes. Meanwhile, water flowing down on the photovoltaic power station square matrix is recycled into the water storage equipment to form circulation.
In the application, the target water flow control data are dynamically adjusted according to actual conditions, and when the preset conditions are met, the water flow control equipment redetermines the target water flow control data and sprays water in the water storage equipment on the surface of the main body longitudinal array according to the redetermined target water flow control data. The predetermined condition includes after a predetermined time interval and/or meeting a predetermined weather condition. In this embodiment, when the target water flow control data is determined, weather data such as the temperature and the wind speed of the site are locked, and when the temperature fluctuation range exceeds the temperature difference threshold value with respect to the time when the target water flow control data is determined last time, and/or when the wind speed fluctuation range exceeds the wind speed difference threshold value with respect to the time when the target water flow control data is determined last time, the target water flow control data is determined to satisfy the predetermined weather condition, and the target water flow control data is dynamically readjusted. The control mechanism described above may additionally be suspended when it is determined that rain is currently being applied, either by the corresponding sensor or by data acquired from the weather server.
The utility model provides a cooling system is optimized to photovoltaic power plant intelligence can have multiple deformation structure in fact, in an embodiment, as shown in fig. 1, retaining equipment is including setting up the bottom cistern 4 in photovoltaic power plant square matrix below at least, and rivers controlgear sprays water at photovoltaic power plant square matrix surface via shower nozzle 2 through the water pump 7 in the bottom cistern 4, and the water of flowing down is retrieved to bottom cistern 4 on the photovoltaic power plant square matrix. In another embodiment, the water storage device further comprises a water storage tank 5 arranged on the upper edge of the photovoltaic power station matrix, the spray head 2 is connected with the bottom of the water storage tank 5, the water storage tank 5 is communicated with a water pump 7 in the bottom reservoir 4 through a water pipe 6, and water flowing down on the photovoltaic power station matrix is recycled to the bottom reservoir 4. The water flow control device 3 controls the water pump 7 to inject the water in the bottom reservoir 4 into the water storage tank 5, and then the shower nozzle 2 sprays the water in the water storage tank 5 onto the surface of the photovoltaic power station square matrix. Alternatively, the water flow control device 3 controls the water pump to inject the water in the bottom reservoir into the water storage tank 5 in a predetermined period of time, for example, the predetermined period of time may be set to be the valley electricity period of time, and peak-shifting water injection may be achieved. Along with the large number of operations of the intelligent optimization cooling system and the collection of a large number of actual data of the working power stations, the intelligent optimization cooling system can further optimize and establish a prefabricated optimal execution table for controlling water flow corresponding to the weather indexes such as temperature/wind speed, illumination amplitude and the like of the power stations, the intelligent optimization cooling system can operate based on the optimal control data when the conditions are close to fit, and the intelligent optimization cooling system can also serve as reference guidance control data for power stations in the same region, similar in installation angle and similar in conditions.
In addition, in the running process of the intelligent optimization cooling system, people can participate in the intelligent optimization cooling system through software setting, people can take the climate conditions of an actual power station into consideration, and based on experience and judgment, intervention or adjustment is carried out, so that optional changes of manual implantation are added for the running of the system.
Optionally, the bottom reservoir 4 is further provided with a filter screen 8, the water pump 7 is arranged above the filter screen 8, water flowing down on the photovoltaic power station square matrix is recycled to the lower portion of the filter screen 8 at the bottom of the bottom reservoir 4, and the recycled water is filtered by the filter screen 8 and finally sprayed onto the photovoltaic power station square matrix through the spray head 2 by the water pump 7, so that the water finally sprayed on the surface of the photovoltaic power station square matrix is ensured to be clean and free of particle impurities. Optionally, a drain outlet is further arranged at the bottom of the bottom reservoir 4, and impurities below the filter screen at the bottom of the bottom reservoir are discharged when the drain outlet is opened.
In addition, there are currently also a number of photovoltaic power plant arrays that begin to lay on the water surface, including floating or piling power plant modes. The optimal generated energy water flow control data can be dynamically collected and locked through the comparison experiment, and the optimal water flow cooling control is carried out on the surfaces of all the photovoltaic power station square matrixes, so that the optimal generated energy of the assembly power station is realized, and the full advantage of water resources is fully utilized. On one hand, the surface of the component is kept clean, high light transmittance is kept, and the optimal power generation output is realized through a water circulation cooling mode. Thus in another embodiment, when the photovoltaic power plant matrix is on the water surface, the bottom reservoir 4 is directly implemented in natural waters, the water pump 7 being placed directly in the natural waters and supplying water to the spray head 2 through the water pipe 6.
When water flowing down on the photovoltaic power station square matrix is recycled into the water storage device, one implementation mode is that the water flowing down on the photovoltaic power station square matrix directly flows into the water storage device from the eave, for example, in fig. 6, directly flows into natural water. The opening of the bottom reservoir may also be provided directly under the eave when the bottom reservoir is used independently as shown in fig. 1. Another implementation manner is that water flowing down on the photovoltaic power station square matrix is collected and recycled into the water storage device by using recycling equipment, then optionally, as shown in fig. 1, the system further comprises a water leakage groove 9 and a sewer pipe 10, the water leakage groove 9 is arranged at the lower edge of the photovoltaic power station square matrix, the water leakage groove 9 is communicated to the water storage device through the sewer pipe 10, and the water leakage groove 9 is used for collecting water and/or rainwater flowing down on the photovoltaic power station square matrix and recycling the water into the water storage device through the sewer pipe 10.
What has been described above is only a preferred embodiment of the present application, and the present invention is not limited to the above examples. It is to be understood that other modifications and variations which may be directly derived or contemplated by those skilled in the art without departing from the spirit and concepts of the present invention are deemed to be included within the scope of the present invention.
Claims (8)
1. Intelligent optimization cooling system of photovoltaic power plant, characterized in that, the system includes: the photovoltaic power station square matrix is paved on the support in a downward inclined mode along the upper edge of the photovoltaic power station square matrix, the photovoltaic power station square matrix comprises an experiment longitudinal square matrix group and a main body longitudinal square matrix group, the scale of the experiment longitudinal square matrix group is smaller than that of the main body longitudinal square matrix group, and the spray head is arranged on the upper edge of the photovoltaic power station square matrix;
the water flow control device controls the spray heads at the experimental longitudinal square matrix group to spray water on the surface of the experimental longitudinal square matrix group according to different water flow control data in a multipoint distribution control water flow mode, counts square matrix steady-state generated energy of the experimental longitudinal square matrix group under different water flow control data, determines water flow control data corresponding to optimal generated energy to obtain as target water flow control data, and comprises the following steps: the water flow control equipment performs a plurality of tests on the experimental longitudinal square matrix group, performs the tests in an optimal data interval according to corresponding sampling step sizes in each test under a plurality of different water flow control data, determines the square matrix steady-state generated energy of the experimental longitudinal square matrix group, determines the data interval in which the maximum generated energy is located as the optimal data interval in the next test, and determines the target water flow control data when the sampling step sizes corresponding to the next test are smaller than the sampling step sizes corresponding to the current test and the preset precision is reached in the test; the target water flow control data are dynamically adjusted, and when a preset condition is met, the water flow control equipment redetermines the target water flow control data and sprays water in the water storage equipment on the surface of the main body longitudinal square matrix group according to the redetermined target water flow control data; wherein the predetermined condition comprises after a predetermined time interval and/or meeting a predetermined weather condition; determining that a predetermined meteorological condition is satisfied when a temperature fluctuation range with respect to when the target water flow control data was last determined exceeds a temperature difference threshold value, and/or when a wind speed fluctuation range with respect to when the target water flow control data was last determined exceeds a wind speed difference threshold value;
the water flow control device controls the spray heads at the longitudinal matrix groups of the main body in a multipoint distribution control water flow mode, water in the water storage device is sprayed on the surface of the longitudinal matrix groups of the main body according to the target water flow control data, and water flowing down on the photovoltaic power station matrix is recycled into the water storage device.
2. The system of claim 1, wherein the target water flow control data comprises a flow rate, a flow velocity, and a water outlet status of the water flow, the water outlet status comprising a water outlet width and/or a water outlet height.
3. The system according to claim 1 or 2, wherein the water storage device comprises at least a bottom reservoir arranged below the photovoltaic power plant matrix, the water flow control device sprays water on the surface of the photovoltaic power plant matrix through the spray head by a water pump in the bottom reservoir, and water flowing down the photovoltaic power plant matrix is recycled to the bottom reservoir.
4. A system according to claim 3, wherein the water storage device further comprises a water storage tank arranged on the upper edge of the photovoltaic power plant matrix, the spray head is connected to the bottom of the water storage tank on the upper edge of the photovoltaic power plant matrix, the water storage tank is communicated with a water pump in the bottom water storage tank, and the water flow control device controls the water pump to inject water in the bottom water storage tank into the water storage tank for a predetermined period of time.
5. A system according to claim 3, wherein a filter screen is further provided in the bottom reservoir, the water pump is disposed above the filter screen, water flowing down the photovoltaic power plant matrix is recovered below the filter screen at the bottom of the bottom reservoir, and the recovered water is filtered by the filter screen and then injected into the spray head by the water pump.
6. The system of claim 5, wherein the bottom of the bottom reservoir is further provided with a drain that when opened, drains impurities below the filter mesh at the bottom of the bottom reservoir.
7. A system according to claim 3, wherein the bottom reservoir is implemented directly from natural waters.
8. The system according to claim 1 or 2, further comprising a water leakage trough and a sewer pipe, the water leakage trough being arranged at the lower edge of the photovoltaic power plant matrix, the water leakage trough being connected to the water storage device via the sewer pipe, the water leakage trough being used for collecting water and/or rainwater flowing down the photovoltaic power plant matrix and being recycled into the water storage device via the sewer pipe.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN204244162U (en) * | 2014-12-14 | 2015-04-01 | 兴悦能（北京)能源科技有限公司 | A kind of photovoltaic battery panel spray equipment |
| JP6667245B2 (en) * | 2015-09-30 | 2020-03-18 | 三機工業株式会社 | Solar panel watering system |
| CN205545144U (en) * | 2015-11-24 | 2016-08-31 | 中清能绿洲科技股份有限公司 | Photovoltaic power generation system based on heat pipe cooling |
| US11669061B2 (en) * | 2016-06-30 | 2023-06-06 | Johnson Controls Tyco IP Holdings LLP | Variable refrigerant flow system with predictive control |
| CN109743017B (en) * | 2019-03-20 | 2020-06-23 | 河海大学常州校区 | Photovoltaic module water film temperature regulating device based on fuzzy control strategy |
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| CN206023704U (en) * | 2016-08-19 | 2017-03-15 | 湖南小汉能源建设开发有限公司 | A kind of photovoltaic module open air optimal inspection system |
| CN207166457U (en) * | 2017-09-30 | 2018-03-30 | 四川茂龙发电设备制造有限公司 | Photovoltaic plant intelligent measure statistical system |
| CN109167395A (en) * | 2018-11-22 | 2019-01-08 | 国网宁夏电力有限公司电力科学研究院 | The transient state equivalence potential discrimination method of photovoltaic generating system based on ADPSS |
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