TWI796007B - Cleaning classification method and system for a solar power plant - Google Patents

Abstract

A cleaning classification method for solar power plants and a cleaning classification system for solar power plants. The cleaning classification method for solar power plants includes steps of: obtaining a real performance ratio and an expected performance ratio of a solar power plant; obtaining the dates when rainy days occurred and the number of the rainy days at a location of the solar power plant; comparing the real performance ratio and the expected performance ratio on the dates when the rainy days occurred to obtain a number of high-efficiency power generation days and a number of low-efficiency power generation days; classifying the solar power plant into a first type, a second type, or the third type, according to the number of the rainy days, the number of high-efficiency power generation days, and the number of low-efficiency power generation days.

Description

Solar power plant cleaning classification method and system

The invention relates to the cleaning field of solar power plants, in particular to a cleaning classification method and system for solar power plants.

In the current industry, in order to reduce carbon emissions and increase the use of green energy, a large number of solar panels will be erected on the roofs of existing factory buildings in industrial areas to form a solar power plant to provide green energy to the factory buildings. However, there will inevitably be a lot of dust in industrial areas, and the accumulation of these dust on the solar panels will reduce the power generation efficiency (Performance Ratio, PR) of the solar power plant.

At present, the dust on the solar panel is regularly cleaned (for example, 1 month, 3 months, etc.) to restore the solar power plant to the expected power generation efficiency. However, because the height of the factory building is more than 10 meters, cleaning the solar panel (solar power plant) on the roof of the factory building is basically a high-altitude operation, which is quite dangerous and has more concerns about industrial safety, making the cleaning cost relatively high. . In addition, since the solar power plant is installed on the roof of the factory building, it will affect the production operations and personnel movement in the ground factory building during cleaning. The above two problems will affect the production cost of the product.

Therefore, it is necessary to provide a cleaning classification method and system for solar power plants to solve the problems existing in conventional technologies.

The object of the present invention is to provide a cleaning classification method and system for solar power plants, classify solar power plants, and perform different cleaning strategies according to the corresponding types of solar power plants, such as different cleaning cycles or cleaning according to different seasons. Thereby, the frequency of cleaning is reduced without affecting the power generation efficiency of the solar power plant, thereby reducing the impact on production operations and production costs.

In order to achieve the above object, the present invention provides a cleaning classification method for solar power plants, comprising the following steps: obtaining a power generation efficiency value and an expected power generation efficiency value of a solar power plant; obtaining a plurality of rainfall dates of the location of the solar power plant and a number of rainy days; compare the power generation efficiency value and the expected power generation efficiency value of these rainy days to obtain a number of high-efficiency power generation days and a low-efficiency power generation day; according to the number of rainy days, the high-efficiency power generation number of days, classify the solar power plant, wherein, when the number of days of high-efficiency power generation is equal to the number of rainy days, the solar power plant is classified into a first type; when the number of days of high-efficiency power generation is less than the number of rainy days, the solar power generation classifying the solar power plant into a second type; and classifying the solar power plant into a third type when the number of days of inefficient power generation is equal to the number of rainy days.

In an embodiment of the present invention, comparing the power generation efficiency value and the expected power generation efficiency value on the rainy days to obtain the high-efficiency power generation days and the low-efficiency power generation days includes: when the power generation efficiency value is greater than or equal to the When the power generation efficiency value is expected to be determined as high-efficiency power generation, and the number of days of high-efficiency power generation is obtained; and when the power generation efficiency value is lower than the expected power generation efficiency value, it is determined to be low-efficiency power generation, and the number of days of low-efficiency power generation is obtained.

In an embodiment of the present invention, obtaining the rainfall amount, the rainy dates and the rainy days of the location of the solar power plant includes: obtaining the rainfall amount, the rainy dates from a weather station adjacent to the solar power plant and the number of rainy days.

In an embodiment of the present invention, the expected power generation efficiency value is 0.6 to 0.9.

In an embodiment of the present invention, the expected power generation efficiency value is 0.8.

In an embodiment of the invention, when the solar power plant is of the first type, the solar power plant is only cleaned during the non-rainy season.

In an embodiment of the invention, the solar power plant is cleaned with a second cycle when the solar power plant is of the second type.

In an embodiment of the present invention, when the solar power plant is of the third type, the solar power plant is cleaned with a third cycle, and the second cycle is longer than the third cycle.

The present invention also provides a solar power plant cleaning classification system, which includes: a power generation data collection module configured to obtain a power generation efficiency value and an expected power generation efficiency value of a solar power plant; a rainfall data collection module , configured to obtain a rainfall amount, a plurality of rainfall dates, and a number of rainy days at the location of the solar power plant; a comparison module, connected to the power generation data collection module and the rainfall data collection module, the comparison The pairing module is configured to compare the power generation performance value and the expected power generation performance value of the rainy days to obtain a number of high-efficiency power generation days and a number of low-efficiency power generation days; and a classification module connected to the comparison module , the classification module is configured to classify the solar power plant according to the number of rainy days, the number of days of high-efficiency power generation and the number of days of low-efficiency power generation, wherein, when the number of days of high-efficiency power generation is equal to the number of rainy days, the solar power generation Classify the solar power plant into a first type; when the number of days with high efficiency power generation is less than the number of rainy days, classify the solar power plant into a second type; and when the number of days with low efficiency power generation is equal to the number of rainy days, classify the solar power plant to a third type.

In an embodiment of the present invention, the rainfall data collection module obtains the rainfall, the rainy dates and the rainy days from a weather station adjacent to the solar power plant.

As mentioned above, the solar power plant cleaning classification method and system provided by the present invention classify solar power plants into three types according to the number of rainy days and the number of high-efficiency power generation days and low-efficiency power generation days of the solar power plant, and for the three types Use different cleaning strategies. In this way, the solar power plant can restore the expected power generation efficiency through cleaning, and the cleaning frequency or cleaning cycle can be adjusted according to different types, reducing the impact on the plant's production operations and production costs.

In order to make the above and other objects, features, and advantages of the present invention more comprehensible, preferred embodiments of the present invention will be exemplified below in detail together with the attached drawings. Furthermore, the directional terms mentioned in the present invention are, for example, up, down, top, bottom, front, back, left, right, inside, outside, side, surrounding, central, horizontal, transverse, vertical, longitudinal, axial, The radial direction, the uppermost layer or the lowermost layer, etc. are only directions referring to the attached drawings. Therefore, the directional terms used are used to illustrate and understand the present invention, but not to limit the present invention.

Please refer to Figures 1 to 4, wherein Figure 1 is a step-by-step flowchart of a solar power plant cleaning classification method according to an embodiment of the present invention, and Figure 2 is a solar power plant classified into the first type according to an embodiment of the present invention Figure 3 is an example of the solar power plant classified into the second type according to the embodiment of the present invention, and Figure 4 is an example of the solar power plant classified into the third type according to the embodiment of the present invention. A solar power plant cleaning classification method 100 according to an embodiment of the present invention includes the following steps:

Step S110: Obtain a power generation efficiency value and an expected power generation efficiency value of a solar power plant. The power generation performance value (Performance Ratio, PR) is used to evaluate the actual power generation performance of the solar power plant, and the expected power generation performance value is used to evaluate the power generation performance that the solar power plant can provide under ideal conditions during design. However, solar power generation will be affected by environmental factors such as weather, air quality, and dust, and the expected power generation efficiency value may be 0.6 to 0.9, depending on the environmental factors of the location of the solar power plant. In addition, after a comprehensive evaluation of multiple environmental factors, the expected power generation efficiency value can be 0.8, which means that the environment of the location of the solar power plant is relatively stable and can provide stable power.

Step S120: Obtain a plurality of rainy days and a rainy day number of the location of the solar power plant, wherein the rainy day number is the total number of rainy days of the rainy days. For example, step S120 may include: obtaining the rainy dates and the rainy days from a weather station adjacent to the solar power plant. It should be understood that the weather station may be built by a government unit (for example, the Central Meteorological Bureau) or built by the user unit itself. In addition, the corresponding hardware or software (for example, a rainfall data collection module) can be connected to a weather station built by a government unit to obtain the rainy dates, the number of rainy days, or other rainfall-related data.

Step S130: Comparing the power generation efficiency value and the expected power generation efficiency value of the rainy days to obtain a number of days with high efficiency power generation and a number of days with low efficiency power generation. That is, in obtaining the number of rainy days, the number of days when the solar power plant is in high-efficiency power generation and the number of days in which the solar power plant is in low-efficiency power generation. In other words, the sum of the days of high-efficiency power generation and the days of low-efficiency power generation is the number of rainy days. Step S130 may also include: Step S132: When the power generation efficiency value is greater than or equal to the expected power generation efficiency value, it is determined as high-efficiency power generation, and the number of days of high-efficiency power generation is obtained; and Step S134: When the power generation efficiency value is less than the expected power generation efficiency value It is judged as low-efficiency power generation, and the number of days of low-efficiency power generation is obtained. In this way, the power generation efficiency value of the solar power plant and whether the solar power plant is generating electricity at high efficiency or at low efficiency on the rainy days can be obtained.

Step S140: Classify the solar power plant according to the number of rainy days, the number of high-efficiency power generation days, and the low-efficiency power generation days, wherein when the high-efficiency power generation days are equal to the rainy days, the solar power plant is classified into a first type ; when the high-efficiency power generation days are less than the rainy days, classify the solar power plant into a second type; and when the low-efficiency power generation days are equal to the rainy days, classify the solar power plant into a third type. That is to say, the solar power plant that can maintain/recover high-efficiency power generation on the rainy day is classified as the first type; The second type; and the solar power plant that still maintains low-efficiency power generation on the day of rain is classified as the third type.

When the solar power plant is classified as the first type, it means that the rainfall can effectively take away the dust attached to the solar panel of the solar power plant, so that the solar power plant can maintain/recover high-efficiency power generation. As an example shown in Fig. 2, it is the power generation efficiency value, the rainy date and the number of rainy days of the solar power plant in central Taiwan. The light-colored points and their connecting lines in Figure 2 are power generation data (power generation date and power generation efficiency value), and the dark-colored points and their connecting lines are rainfall data (rainfall date and rainfall amount). The expected power generation efficiency value of the central solar power plant is 0.8, and most of the power generation efficiency values are above 0.8. It can be found that at least 10 times the power generation efficiency value is lower than the expected power generation efficiency value of 0.8 (such as label 1-10) after the rain The power generation efficiency value obviously recovered to above the expected power generation efficiency value of 0.8. In particular, there was almost no rainfall between October 2019 and the end of November 2019 (Taiwan's non-rainy season), and the power generation efficiency value of the central solar power plant also dropped all the way to around 0.5 until December 2019 After the rainfall (label 7), the power generation efficiency value recovered significantly to above 0.8, and the central solar power plant is the first type. Probably because the dust composition of the central solar power plant is relatively pure, it can be restored to high-efficiency power generation through rainfall, and cleaning only needs to be scheduled during the non-rainy season. Therefore, when the solar power plant is of the first type, the solar power plant is only cleaned during the non-rainy season, so that the solar power plant can maintain/recover high-efficiency power generation during the non-rainy season, and cleaning may not be scheduled during the rainy season , to reduce the impact on plant production operations and production costs.

When the solar power plant is classified as the second type, it means that the rain can sometimes take away the dust attached to the solar panels of the solar power plant, but sometimes it cannot take away the dust, so that the solar power plant may not be able to Restore efficient power generation. As an example shown in Figure 3, the power generation efficiency value of the solar power plant in southern Taiwan, the rainy date and the number of rainy days. The light-colored points and their connecting lines in Figure 3 are power generation data (power generation date and power generation efficiency value), and the dark-colored points and their connecting lines are rainfall data (rainfall date and rainfall amount). The expected power generation efficiency value of the southern solar power plant is 0.8, and most of the power generation efficiency values can also be maintained above 0.8. When the expected power generation efficiency value is recovered to more than 0.8 (such as No. 11-13), the southern solar power plant is the second type. It may be because the dust composition of the central solar power plant is not pure, and the power generation efficiency may not be restored through rainfall, and regular (eg, once every 3 or 4 months) cleaning is required to maintain the power generation efficiency. Therefore, when the solar power plant is of the second type, the solar power plant is cleaned in a second cycle, and the solar power plant is restored to high-efficiency power generation through constant cleaning.

The solar power plant is classified as the third type, which means that the rain cannot take away the dust attached to the solar panels of the solar power plant, so that the solar power plant still maintains low-efficiency power generation. As an example shown in Figure 4, it is the power generation efficiency value, the rainy date and the number of rainy days of the solar power plant in the heavy industrial area in southern Taiwan. The light-colored points and their connecting lines in Figure 4 are power generation data (power generation date and power generation efficiency value), and the dark-colored points and their connecting lines are rainfall data (rainfall date and rainfall amount). Because it is located in the southern heavy industrial area, the dust composition is complex (contains more metal dust), and the expected power generation efficiency value of the solar power plant in the southern heavy industrial area is 0.75. It can be found that the power generation efficiency value of the solar power plant in the southern heavy industrial area obviously increases with The power generation efficiency value will not recover due to rainfall (especially, from May 2019 to December 2019), and the solar power plant in the southern heavy industrial area is the third type. The solar power plant in the southern heavy industrial area did not return to the expected power generation efficiency value above 0.75 until after the cleaning in February 2020 (dash line period). Once or even once a month) cleaning can maintain the power generation efficiency value above the expected power generation efficiency value. Therefore, when the solar power plant is the third type, a third cycle is used to clean the solar power plant, and the second cycle is greater than the third cycle, and the solar power plant is restored to high-efficiency power generation through more frequent cleaning .

The cleaning of solar power plants takes at least one day or even longer, so after understanding the types of solar power plants, different cleaning strategies can be carried out for the three types of solar power plants as mentioned above, which can effectively maintain solar power plants In high-efficiency power generation (to restore the expected power generation efficiency), and reduce the impact on plant production operations and production costs during the cleaning period.

Please refer to FIG. 5, which is a schematic structural diagram of a solar power plant cleaning classification system according to an embodiment of the present invention. A solar power plant cleaning classification system 200 according to an embodiment of the present invention includes: a power generation data collection module 210 , a rainfall data collection module 220 , a comparison module 230 and a classification module 240 .

The power generation data collection module 210 is configured to obtain a power generation efficiency value and an expected power generation efficiency value of a solar power plant.

The rainfall data collection module 220 is configured to obtain a plurality of rainy dates and a rainy day at the location of the solar power plant. The rainfall data collection module 220 can obtain the rainy dates and the rainy days from a weather station adjacent to the solar power plant.

The comparison module 230 is connected to the power generation data collection module 210 and the rainfall data collection module 220, and the comparison module 230 is configured to compare the power generation efficiency value and the expected power generation efficiency value of these rainfall dates , to obtain a number of days with high efficiency power generation and a number of days with low efficiency power generation.

The classification module 240 is connected to the comparison module 230, and the classification module 240 is configured to classify the solar power plant according to the number of rainy days, the number of days of high-efficiency power generation and the number of days of low-efficiency power generation, wherein, when the When the number of days of high-efficiency power generation is equal to the number of rainy days, the solar power plant is classified into a first type; when the number of days of high-efficiency power generation is less than the number of rainy days, the solar power plant is classified into a second type; and when the low-efficiency power generation When the number of days is equal to the number of rainy days, the solar power plant is classified into a third type. The various modules mentioned above can be implemented through physical devices or components used to realize information processing, operations or functions (such as computers, central processing units of computers, memories, network communication devices connected to computers, sensors, etc.) etc.) and computer software to achieve.

For the operating principle, details and advantages of the solar power plant cleaning classification system 200 , please refer to the record of the aforementioned solar power plant cleaning classification method 100 , and will not be repeated here.

As mentioned above, the solar power plant cleaning classification method and system provided by the present invention classify solar power plants into three types according to the number of rainy days and the number of high-efficiency power generation days and low-efficiency power generation days of the solar power plant, and for the three types Use different cleaning strategies. In this way, the solar power plant can restore the expected power generation efficiency through cleaning, and the cleaning frequency or cleaning cycle can be adjusted according to different types, reducing the impact on the plant's production operations and production costs.

Although the present invention has been disclosed with preferred embodiments, it is not intended to limit the present invention. Anyone skilled in this art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of protection shall be determined by the scope of the attached patent application.

100: Solar Power Plant Cleaning Classification Methodology 200: Cleaning Classification System for Solar Power Plants 210: Power generation data collection module 220:Rainfall data collection module 230: Comparing modules 240: Classification Module S110~S140: steps

Fig. 1 is a flow chart of one step of a solar power plant cleaning classification method according to an embodiment of the present invention. Fig. 2 is an example of the solar power plants classified into the first type according to the embodiment of the present invention. Fig. 3 is an example of the second type of solar power plants classified according to the embodiment of the present invention. FIG. 4 is an example of a solar power plant classified into the third type according to an embodiment of the present invention. Fig. 5 is a schematic structural diagram of a solar power plant cleaning classification system according to an embodiment of the present invention.

100: Solar Power Plant Cleaning Classification Methodology

S110~S140: steps

Claims (10)

A solar power plant cleaning classification method, which includes the following steps: obtain a power generation efficiency value and an expected power generation efficiency value of a solar power plant; obtain a plurality of rainy dates and a rainy day number of the location of the solar power plant; compare the The power generation performance value and the expected power generation performance value of some rainy days to obtain a high-efficiency power generation day and a low-efficiency power generation day; according to the rainy day, the high-efficiency power generation day and the low-efficiency power generation day, the solar power plant Classification, wherein, when the number of days of high-efficiency power generation is equal to the number of rainy days, the solar power plant is classified into a first type; when the number of days of high-efficiency power generation is less than the number of rainy days, the solar power plant is classified into a second type; and classifying the solar power plant into a third type when the number of days with low efficiency power generation is equal to the number of rainy days. The solar power plant cleaning classification method as described in claim 1, wherein comparing the power generation efficiency value and the expected power generation efficiency value on these rainy days to obtain the high-efficiency power generation days and the low-efficiency power generation days includes: when the power generation When the efficiency value is greater than or equal to the expected power generation efficiency value, it is determined as high-efficiency power generation, and the number of days of high-efficiency power generation is obtained; and when the power generation efficiency value is smaller than the expected power generation efficiency value, it is determined as low-efficiency power generation, and the number of days of low-efficiency power generation is obtained. The solar power plant cleaning classification method as described in claim 1, wherein obtaining the rainy dates and the rainy days of the location of the solar power plant includes: obtaining the rainy dates and the rainy days from a weather station adjacent to the solar power plant Number of rainy days. The solar power plant cleaning classification method according to claim 1, wherein the expected power generation efficiency value is 0.6 to 0.9. The solar power plant cleaning classification method as described in Claim 4, wherein the expected power generation efficiency value is 0.8. The cleaning classification method for solar power plants as claimed in claim 1, wherein when the solar power plants are of the first type, the solar power plants are only cleaned during non-rainy seasons. The solar power plant cleaning classification method according to claim 6, wherein when the solar power plant is of the second type, the solar power plant is cleaned in a second cycle. The cleaning classification method for solar power plants according to claim 7, wherein when the solar power plants are of the third type, the solar power plants are cleaned with a third cycle, and the second cycle is longer than the third cycle. A solar power plant cleaning classification system, which includes: a power generation data collection module configured to obtain a power generation efficiency value and an expected power generation efficiency value of a solar power plant; a rainfall data collection module configured to Obtaining a plurality of rainfall dates and a number of rainy days at the location of the solar power plant; a comparison module connected to the power generation data collection module and the rainfall data collection module, the comparison module is configured to compare the The power generation performance value and the expected power generation performance value of some rainy days to obtain a number of high-efficiency power generation days and a number of low-efficiency power generation days; and A classification module, connected to the comparison module, the classification module is configured to classify the solar power plant according to the number of rainy days, the number of days with high-efficiency power generation and the number of days with low-efficiency power generation, wherein, when the number of high-efficiency power generation When the number of days is equal to the number of rainy days, the solar power plant is classified into a first type; when the number of days of high-efficiency power generation is less than the number of rainy days, the solar power plant is classified into a second type; and when the number of days of low-efficiency power generation is equal to When the number of rainy days, the solar power plant is classified into a third type. The solar power plant cleaning classification system as described in claim 9, wherein the rainfall data collection module obtains the rainy dates and the rainy days from a weather station adjacent to the solar power plant.

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