Estimation Method and Device for Downward Longwave Radiation in Photovoltaic Power Station
By obtaining the downward long-wave radiation amount and timing adjustment coefficient of the natural surface, the radiation increase in the photovoltaic power station is estimated, which solves the quantitative problem of the impact of long-wave radiation at night in the photovoltaic power station, and a quantitative evaluation of the ecological environment effect of the photovoltaic power station is achieved.
Patent Information
- Application Number
- CN202510431455.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-08
- Publication Date
- 2025-07-18
- Estimated Expiration
- 2045-04-08
AI Technical Summary
The prior art is difficult to accurately quantify the effect of long-wave radiation heat dissipation on the surface and atmospheric heat exchange by blocking the surface at night, resulting in a lack of a high-temporal resolution computational model for the potential effect of vegetation growth in high-altitude areas.
By obtaining the downward long-wave radiation amount of the natural surface, determining the timing adjustment coefficient, estimating the radiation increment coefficient based on the timing segments, and combining the radiation difference between the photovoltaic power station and the natural surface, calculating the downward long-wave radiation amount of each timing in the photovoltaic power station.
It provides an accurate estimation model of downward long-wave radiation in a photovoltaic power station, which can provide quantitative evaluation data for night insulation phenomenon and support scientific evaluation of the ecological environment effects of photovoltaic power stations.
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Figure CN119939083B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of photovoltaic technology, and particularly to a method and device for estimating downward long-wave radiation in a photovoltaic power station. Background Art
[0002] To address global climate change, solar energy, as the most abundant renewable energy source, has become crucial for development and utilization. As of the end of 2023, the global cumulative installed capacity of photovoltaic reached 420 GW (gigawatts). In China, solar energy resources are concentrated in ecologically fragile regions such as the arid and semi-arid areas in the west and the Qinghai-Tibet Plateau. The impact of large-scale photovoltaic power station construction on the local ecology urgently requires scientific assessment.
[0003] In the prior art, research on the ecological environment effects of photovoltaic power stations mainly focuses on phenomena such as daytime surface shading, cooling, and reduction of surface wind speed during the day, and there are mature parametric models to support quantitative analysis. However, for the process of photovoltaic power stations blocking the long-wave radiation heat dissipation of the ground surface at night and slowing down the heat exchange between the ground surface and the atmosphere, no effective quantification method has been formed yet. This effect has potential positive significance for vegetation growth in alpine regions, but due to the complex multiple reflection process of thermal radiation involved, traditional physical models are difficult to analyze, resulting in a long-term lack of a high-time-resolution calculation model for the increase in long-wave radiation at night.
[0004] Currently, although the land surface process model based on numerical models can partially reflect the surface energy exchange, its description of the specific radiation mechanism in the photovoltaic power station is insufficient. Constructing a radiation estimation model adapted to the long-wave heat preservation characteristics at night in the photovoltaic power station has become a technical problem to be solved urgently.
[0005] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention
[0006] To overcome the problems existing in the related art, embodiments of the present disclosure provide a method and device for estimating downward long-wave radiation in a photovoltaic power station, which can accurately estimate the downward long-wave radiation amount under a specific radiation mechanism in the photovoltaic power station.
[0007] According to the first aspect of the embodiments of the present disclosure, a method for estimating downward long-wave radiation in a photovoltaic power station is provided. The method includes: obtaining the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station; determining a timing adjustment coefficient, and based on the timing adjustment coefficient, estimating a radiation increment coefficient by timing segmentation; the radiation increment coefficient indicates the radiation increment situation of the downward long-wave radiation corresponding to the ground surface in the photovoltaic power station compared to the natural ground surface; estimating the downward long-wave radiation amount corresponding to each timing of the ground surface in the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural ground surface and the radiation increment coefficient.
[0008] Optionally, determine the total number of daily time series corresponding to the target time resolution; based on the total number of daily time series corresponding to the target time resolution and the total number of daily time series corresponding to the half-hourly resolution, determine the time series adjustment coefficient; wherein, the target time resolution is the time resolution of the downward longwave radiation amount corresponding to the obtained natural surface.
[0009] Optionally, collect the surface air temperature and water vapor pressure of the natural surface corresponding to the natural surface at a preset distance from the photovoltaic power station at the target time resolution; estimate the downward longwave radiation amount corresponding to the natural surface according to the surface air temperature and water vapor pressure of the natural surface at the target time resolution.
[0010] Optionally, after obtaining the downward longwave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station, the method further includes: if the original data time is the standard time, determine the time offset value according to the standard time and the local time corresponding to the photovoltaic power station; move the time of the original data as a whole by the time offset value to obtain the data in local time; wherein, the original data is the downward longwave radiation amount corresponding to the obtained natural surface, or the surface air temperature and water vapor pressure of the collected natural surface.
[0011] Optionally, after moving the time of the original data as a whole by the time offset value, the method further includes: in the case of collecting the original data at the target time resolution, determine the target data of the daily time series to be reorganized in the data collected daily according to the time zone where the photovoltaic power station is located; if the time zone of the photovoltaic power station is in the eastern zone of the standard time, move the daily target data to the end of the previous day, or, if the time zone of the photovoltaic power station is in the western zone of the standard time, move the daily collected target data to the beginning of the next day to form a daily continuous time series, so as to obtain the downward longwave radiation amount at the target time resolution of the natural surface at a preset distance from the photovoltaic power station.
[0012] Optionally, according to the first preset formula and the time series adjustment coefficient, calculate the radiation increment coefficient of the downward longwave radiation corresponding to the surface of the photovoltaic power station compared with the downward longwave radiation corresponding to the natural surface at the target time resolution based on the time series segmentation; the first preset formula includes: ; wherein, represents the increment coefficient of the downward longwave radiation at the target time resolution, i represents the time series of the data collected at the target time resolution, N represents the time series adjustment coefficient of the target time resolution relative to the half-hourly resolution, , n represents the total number of daily time series corresponding to the resolution of the target time resolution, and 48 represents the total number of time series of the target time resolution.
[0013] Optionally, based on a second preset formula, the downward longwave radiation amount corresponding to each time sequence of the photovoltaic power station surface per day and the radiation increment coefficient, calculate the downward longwave radiation amount corresponding to each time sequence of the photovoltaic power station surface per day; the second preset formula includes: ; where represents the downward longwave radiation amount corresponding to each time sequence of the photovoltaic power station surface per day, represents the downward longwave radiation amount corresponding to each time sequence of the natural surface per day, represents the annual average downward longwave radiation amount of the natural surface, , a and b are constants, represents the acquisition frequency of.
[0014] According to the second aspect of the embodiments of the present disclosure, there is provided an estimation device for downward longwave radiation in a photovoltaic power station. The estimation device for downward longwave radiation in the photovoltaic power station includes: an acquisition module, an increment coefficient estimation module, and a radiation amount estimation module; the acquisition module is configured to acquire the downward longwave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station; the increment coefficient estimation module is configured to determine a time sequence adjustment coefficient, and based on the time sequence adjustment coefficient, estimate the radiation increment coefficient based on time sequence segmentation; the radiation increment coefficient indicates the radiation increment situation of the downward longwave radiation corresponding to the surface in the photovoltaic power station compared to the natural surface; the radiation amount estimation module is configured to estimate the downward longwave radiation amount corresponding to each time sequence of the photovoltaic power station surface according to the downward longwave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station and the radiation increment coefficient.
[0015] Optionally, the increment coefficient estimation module is specifically configured to: determine the total number of daily time sequences corresponding to the target time resolution; determine the time sequence adjustment coefficient based on the total number of daily time sequences corresponding to the target time resolution and the total number of daily time sequences corresponding to the half-hourly resolution; where the target time resolution is the time resolution of the downward longwave radiation amount corresponding to the acquired natural surface.
[0016] Optionally, the acquisition module is specifically configured to: acquire the surface air temperature and water vapor pressure of the natural surface at the target time resolution; estimate the downward longwave radiation amount corresponding to the target time resolution of the natural surface according to the surface air temperature and water vapor pressure of the natural surface at the target time resolution.
[0017] Optionally, the estimation device for downward longwave radiation in the photovoltaic power station further includes: a time conversion module; the time conversion module is configured to, after acquiring the downward longwave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station, if the original data time is the standard time, determine the time offset value according to the standard time and the local time corresponding to the photovoltaic power station; move the time of the original data as a whole by the time offset value to obtain the data in local time; where the original data is the downward longwave radiation amount corresponding to the acquired natural surface, or the surface air temperature and water vapor pressure of the acquired natural surface.
[0018] Optionally, the estimating device for the downward long-wave radiation in the photovoltaic power station further includes: a timing reorganization module; the timing reorganization module is configured to, after shifting the time of the original data by a time offset value as a whole, when collecting the original data at a target time resolution, determine, according to the time zone where the photovoltaic power station is located, the target data of the daily collected data to be reorganized into the daily time sequence; if the time zone of the photovoltaic power station is in the eastern zone of the standard time, move the target data of each day to the end of the previous day, or, if the time zone of the photovoltaic power station is in the western zone of the standard time, move the target data collected each day to the beginning of the next day, to form a daily continuous time sequence, so as to obtain the daily downward long-wave radiation amount at the target time resolution of the natural ground surface at a preset distance from the photovoltaic power station.
[0019] Optionally, the incremental estimation module is specifically configured to: based on a first preset formula and a timing adjustment coefficient, calculate, in a time-segmented manner, the radiation increment coefficient of the downward long-wave radiation corresponding to the ground surface of the photovoltaic power station compared to the downward long-wave radiation corresponding to the natural ground surface at the target time resolution; the first preset formula includes: ; where represents the increment coefficient of the downward long-wave radiation at the target time resolution, i represents the time sequence of the data collected at the target time resolution, N represents the timing adjustment coefficient of the target time resolution relative to the time sequence with a resolution of every half hour, , n represents the total number of daily time sequences corresponding to the target time resolution.
[0020] Optionally, the radiation amount estimation module is specifically configured to: based on a second preset formula, the daily downward long-wave radiation amount corresponding to the natural ground surface, and the radiation increment coefficient, calculate the downward long-wave radiation amount corresponding to each time sequence of the ground surface of the photovoltaic power station every day; the second preset formula includes: ; where represents the downward long-wave radiation amount corresponding to each time sequence of the ground surface of the photovoltaic power station every day, represents the downward long-wave radiation amount corresponding to each time sequence of the natural ground surface every day, represents the annual average downward long-wave radiation amount of the natural ground surface, , a and b are constants, represents the collection frequency of.
[0021] According to the third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for estimating the downward long-wave radiation in the photovoltaic power station as described in the first aspect is implemented.
[0022] According to a fourth aspect of the embodiments of the present disclosure, a computer device is provided, including a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the computer-readable instructions are executed by the processor, a method for estimating downward long-wave radiation in a photovoltaic power station as described in the first aspect is implemented.
[0023] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:
[0024] In the embodiments of the present disclosure, the downward long-wave radiation amount of the natural ground surface at a preset distance from the photovoltaic power station is obtained; and a timing adjustment coefficient is determined. According to the timing adjustment coefficient, based on timing segmentation, the radiation increment coefficient of the downward long-wave radiation corresponding to the ground surface of the photovoltaic power station compared with the natural ground surface is estimated; according to the downward long-wave radiation amount and the radiation increment coefficient corresponding to the natural ground surface at a preset distance from the photovoltaic power station, the downward long-wave radiation amounts corresponding to each timing of the ground surface of the photovoltaic power station are estimated. This solution provides an estimation model for estimating the downward long-wave radiation amounts corresponding to each timing of the ground surface of the photovoltaic power station, which can generate the radiation increment coefficient of the downward long-wave corresponding to the ground surface. Taking the downward long-wave radiation of the natural ground surface outside the photovoltaic power station as the reference radiation of the natural ground surface without photovoltaic panels in the photovoltaic power station, based on the reference radiation and the increment coefficient, the downward long-wave radiation amounts in each time period in the photovoltaic power station can be accurately estimated, so as to provide a quantitative evaluation data basis for the night heat preservation phenomenon.
[0025] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] The drawings herein are incorporated into the specification and constitute a part of the present disclosure, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.
[0027] Figure 1 It is a schematic diagram of the system architecture for estimating downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present disclosure.
[0028] Figure 2 It is a schematic flowchart of a method for estimating downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present disclosure.
[0029] Figure 3 It is a schematic diagram of the logical processing for estimating the downward long-wave radiation amount provided by the embodiments of the present disclosure.
[0030] Figure 4 It is a schematic diagram of the single-day comparison of hourly downward long-wave radiation provided by the embodiments of the present disclosure.
[0031] Figure 5A schematic diagram of the annual comparison of the daily downward long-wave radiation provided by the embodiments of the present disclosure.
[0032] Figure 6 A hardware structure diagram of a computer device where a method for estimating downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present disclosure is located.
[0033] Figure 7 A schematic structural diagram of an estimation device for downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present disclosure. Detailed implementation manners
[0034] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.
[0035] The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. The singular forms "a", "the", and "said" used in the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.
[0036] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".
[0037] Next, the embodiments of the present disclosure will be described in detail.
[0038] Figure 1 A schematic diagram of the system architecture for estimating downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present disclosure. As Figure 1As shown, the system architecture 100 may include one or more of terminal devices such as smart phone 101, portable computer 102, desktop computer 103, etc., network 104, and server 105. Network 104 is used to provide a medium for communication links between terminal devices and server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, etc.
[0039] The terminal device may be various electronic devices with data processing functions. There is a display screen on the electronic device, and the display screen is used to show various time periods in units of days, long-wave radiation estimation results in units of years, etc. to users. The electronic device includes but is not limited to the above-mentioned desktop computers, portable computers, smart phones, tablet computers, etc.
[0040] It should be understood that Figure 1 the numbers of terminal devices, networks, and servers in
[0041] The method provided by the embodiments of the present invention may be executed by a terminal device. Correspondingly, the device may be set in the terminal device. However, those skilled in the art can easily understand that the method for estimating the downward long-wave radiation in a photovoltaic power station provided by the embodiments of the present invention may also be executed by a server. Correspondingly, the device may also be set in the server. No special limitation is made in this exemplary embodiment.
[0042] Figure 2 A method for estimating downward long-wave radiation in a photovoltaic power station provided by an embodiment of the present disclosure is as Figure 2 shown. The method includes the following S201 to S203:
[0043] S201. Obtain the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station.
[0044] In the embodiments of the present disclosure, a photovoltaic panel matrix is usually set in a photovoltaic power station. The photovoltaic panels block the ground surface, thereby affecting the downward long-wave radiation amount of the ground surface.
[0045] Generally, due to the large-area photovoltaic panels blocking the long-wave radiation emitted by the ground surface to the atmosphere, it is refracted repeatedly between the ground surface and the photovoltaic panels, thereby significantly slowing down the cooling speed of the ground surface and the atmosphere. Therefore, it cools slower than the natural ground surface without the blocking of photovoltaic panels, forming a night heat preservation phenomenon.
[0046] Generally, downward long-wave radiation refers to the long-wave (infrared) radiation emitted by the Earth's atmosphere to the ground surface.
[0047] Optionally, in the embodiments of the present disclosure, the downward long-wave radiation amount corresponding to the natural ground surface outside the photovoltaic power station can be directly obtained; in the case where it cannot be directly obtained, it can also be estimated according to the monitored ground surface temperature and water vapor pressure of the natural ground surface outside the photovoltaic power station. The embodiments of the present disclosure do not make specific limitations on this.
[0048] It should be noted that in the embodiments of the present disclosure, the preset distance is used to indicate the area relatively close to the photovoltaic power station, and the specific value of the preset distance can be selected according to experience. The embodiments of the present disclosure do not make specific limitations on the specific value of the preset distance.
[0049] S202. Determine the timing adjustment coefficient, and based on the timing adjustment coefficient, estimate the radiation increment coefficient by timing segmentation.
[0050] Among them, the radiation increment coefficient indicates the radiation increment of the downward long-wave radiation corresponding to the ground surface in the photovoltaic power station compared with the natural ground surface.
[0051] It can be understood that the ground surface in the photovoltaic power station includes the ground surface where photovoltaic modules are installed.
[0052] It should be noted that in the embodiments of the present disclosure, the increment of the downward long-wave radiation in the photovoltaic power station compared with the natural ground surface is estimated separately by timing segments. The degree of downward long-wave radiation is different in different time periods, and the radiation increment of the downward long-wave radiation corresponding to the ground surface of the photovoltaic power station compared with the natural ground surface is also different. Therefore, the actual situation of the downward long-wave radiation increment in the photovoltaic power station compared with the natural ground surface can be expressed more accurately.
[0053] It should be noted that the above S201 and S202 are not executed in a specific order. The embodiments of the present disclosure do not make specific limitations on this.
[0054] S203. Estimate the downward long-wave radiation amount corresponding to each timing of the ground surface of the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural ground surface and the radiation increment coefficient.
[0055] It can be understood that by calculating the radiation increment in segments and obtaining the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station, the downward long-wave radiation corresponding to different time periods of the ground surface in the photovoltaic power station can be estimated more accurately.
[0056] An embodiment of the present disclosure provides a method for estimating the downward long-wave radiation in a photovoltaic power station, which obtains the downward long-wave radiation amount of the natural ground surface at a preset distance from the photovoltaic power station; and determines a timing adjustment coefficient. According to the timing adjustment coefficient, based on timing segmentation, an increment coefficient of the downward long-wave radiation corresponding to the ground surface of the photovoltaic power station compared to the natural ground surface is estimated; according to the downward long-wave radiation amount and the increment coefficient corresponding to the natural ground surface at a preset distance from the photovoltaic power station, the downward long-wave radiation amount corresponding to each timing of the ground surface of the photovoltaic power station is estimated. This solution provides an estimation model for estimating the downward long-wave radiation amount corresponding to each timing of the ground surface of the photovoltaic power station, which can generate an increment coefficient of the downward long-wave radiation corresponding to the ground surface. Taking the downward long-wave radiation of the natural ground surface outside the photovoltaic power station as the reference radiation of the natural ground surface without photovoltaic panels in the photovoltaic power station, based on the reference radiation and the increment coefficient, the downward long-wave radiation amount in each time period in the photovoltaic power station can be accurately estimated, so as to provide a quantitative evaluation data basis for the night heat preservation phenomenon.
[0057] Optionally, in the method for estimating the downward long-wave radiation in a photovoltaic power station provided by an embodiment of the present disclosure, when the downward long-wave radiation amount corresponding to the natural ground surface of the photovoltaic power station cannot be directly obtained, the above S201 can be specifically executed through the following S201a and S201b:
[0058] S201a: Collect the surface air temperature and water vapor pressure of the natural ground surface of the photovoltaic power station at a target time resolution.
[0059] Wherein, the target time resolution is the data collection interval duration.
[0060] Exemplarily, data is collected once every 1 hour, 0.5 hour, or 15 minutes.
[0061] Optionally, the specific value of the target time resolution can be selected according to the accuracy requirement, and the embodiment of the present disclosure does not make a specific limitation thereto.
[0062] It can be understood that both the surface air temperature and the water vapor pressure are conventional meteorological elements. Among them, the surface air temperature can be obtained from the public download channels of meteorological data; in the embodiment of the present disclosure, the hourly air temperature at a height of 2 meters observed on site by a meteorological monitoring platform can be used. There is less observational data on water vapor pressure compared to air temperature. When there is a lack of monitoring data on water vapor pressure corresponding to the hourly air temperature, the water vapor pressure can be determined by using the mixing ratio and air pressure through a general formula, or the water vapor pressure can be determined by using the dew point temperature and saturated water vapor pressure through a general formula. The embodiment of the present disclosure does not make a specific limitation thereto.
[0063] S201b: Estimate the downward long-wave radiation amount at the target time resolution corresponding to the natural ground surface at a preset distance from the photovoltaic power station according to the surface air temperature and water vapor pressure of the natural ground surface at the target time resolution.
[0064] It can be understood that the downward long-wave radiation amounts are different at different time periods. In the embodiments of the present disclosure, by collecting the monitoring data with the target time resolution, the downward long-wave radiation amounts corresponding to the natural ground surface at each time period can be estimated more accurately.
[0065] Exemplarily, the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station can be estimated based on the following formula (1).
[0066] Formula (1)
[0067] Wherein, represents the downward long-wave radiation corresponding to the natural ground surface (W / m 2 ), P represents the water vapor pressure (kPa), T represents the ground surface temperature (K), and A, B, and C are all fitting constants.
[0068] It should be noted that A, B, and C vary in different regions and different weather conditions.
[0069] Exemplarily, taking the photovoltaic power station in Region 1 as an example, the values can be: A = 0.358, B = -16.43, C = 5.67.
[0070] Based on this solution, in the case where the downward long-wave radiation amount corresponding to the natural ground surface outside the photovoltaic power station cannot be directly obtained, the ground surface temperature and water vapor pressure of the natural ground surface at each time period outside the photovoltaic power station can be collected, and then the downward long-wave radiation amount corresponding to the natural ground surface at each time period can be accurately calculated through the above calculation method, thereby providing accurate data support for estimating the downward long-wave radiation amount in the photovoltaic power station.
[0071] Optionally, in the method for estimating the downward long-wave radiation in the photovoltaic power station provided by the embodiments of the present disclosure, after the above S201 or S201a, the following S204 and S205 may further be included:
[0072] S204. If the original data time is the standard time, determine the time offset value according to the standard time and the local time corresponding to the photovoltaic power station.
[0073] Wherein, the standard time is the zone time of the standard time adopted in the region where the photovoltaic power station is located. For example, within China, the zone time of the eighth time zone where Beijing is located is adopted.
[0074] Exemplarily, the time difference (hours) = (longitude of the photovoltaic power station - longitude corresponding to the standard time) / 15.0.
[0075] S205. Move the time of the original data as a whole by the time offset value to obtain the data of the local time.
[0076] Among them, the original data is the downward long-wave radiation amount corresponding to the obtained natural surface, or the surface air temperature and water vapor pressure of the collected natural surface.
[0077] Taking Gonghe County, Hainan Tibetan Autonomous Prefecture, Qinghai as an example, the local longitude is 100.567°E, and the time difference is about -1.3 hours, that is, 1.3 hours later than Beijing time. The entire target data sequence needs to be shifted backward by 1.3 hours.
[0078] It should be noted that in the embodiments of the present disclosure, when processing the collected data, by using the data of local time, time zone interference can be eliminated, ensuring that the collected data is always continuous, thereby improving the reliability and consistency of the collected data and avoiding time-related errors.
[0079] If the time zone of the photovoltaic power station is in the eastern zone of the standard time, the time of the original data is shifted forward as a whole by the time offset value;
[0080] If the time zone of the photovoltaic power station is in the western zone of the standard time, the time of the original data is shifted backward as a whole by the time offset value.
[0081] It should be noted that since the present disclosure can be applied to the scenario of measuring the heat preservation effect of large-scale photovoltaic power stations at night and highly depends on the time series, unifying the time series can ensure the reliability of the data and improve the accuracy of estimating the downward long-wave radiation amount in the photovoltaic power station.
[0082] Based on this solution, after obtaining the original data, the time series of the original data can be preprocessed first. By converting the time attribute, the coherence of the data during data processing can be ensured, and the problem of inaccurate data caused by the overall offset of the calculated downward long-wave radiation amount due to the time difference can be avoided.
[0083] Optionally, in the method for estimating the downward long-wave radiation in the photovoltaic power station provided by the embodiments of the present disclosure, after S205 above, the following S206 and S207a, or S206 and S207b may also be included:
[0084] S206. In the case of collecting the original data at the target time resolution, determine the target data of the daily time series to be reorganized in the data collected daily according to the time zone where the photovoltaic power station is located.
[0085] It should be noted that after converting the local time to the universal time, some of the data in the whole-day data of the original local time are data of the previous day or the next day.
[0086] S207a. If the time zone of the photovoltaic power station is in the eastern zone of the standard time, move the data of the daily time series to be reorganized in the data collected daily to the end of the previous day to form a daily continuous time series, so as to obtain the downward long-wave radiation amount of the natural surface with the target time resolution daily at a preset distance from the photovoltaic power station.
[0087] S207b. If the time zone of the photovoltaic power station is in the western region of the standard time, move the data of the day-to-be-reorganized daily time series in the daily collected data to the start of the next day to form a daily continuous time series, so as to obtain the downward longwave radiation amount with the target daily time resolution of the natural surface at a preset distance from the photovoltaic power station.
[0088] For example, if the data collected every half hour is adopted in the embodiments of the present disclosure, the first to the 16th time slots of the daily data can be moved to the previous day as the 33rd to the 48th time slots of the previous day, and merged with the 17th to 32nd time slots of the current day to form the data of the current day.
[0089] Based on this solution, the time-converted data can be accurately divided by day, which is convenient for determining the downward longwave radiation amount with the target daily time resolution of the natural surface based on the time series.
[0090] Optionally, in the method for estimating the downward longwave radiation in the photovoltaic power station provided by the embodiments of the present disclosure, S202 can be specifically executed through the following S202a and S202b:
[0091] S202a. Determine the total number of daily time series corresponding to the target time resolution.
[0092] S202b. Based on the total number of daily time series corresponding to the target time resolution and the total number of daily time series corresponding to the half-hourly resolution, determine the time series adjustment coefficient.
[0093] Wherein, the target time resolution is the time resolution of the downward longwave radiation amount corresponding to the obtained natural surface.
[0094] Based on this solution, for data with different time resolutions, a time series adjustment coefficient can be generated, which is convenient for obtaining more accurate radiation increments in each time period when generating the radiation increment coefficient, so as to obtain the downward longwave radiation amount corresponding to each time series on the surface of the photovoltaic power station accurately.
[0095] Optionally, in the method for estimating the downward longwave radiation in the photovoltaic power station provided by the embodiments of the present disclosure, the above-mentioned S202 can be specifically executed through the following S202c:
[0096] S202c. Based on the formula (2) and the time series adjustment coefficient, calculate the downward longwave radiation corresponding to the surface of the photovoltaic power station by time series segmentation, compared with the radiation increment coefficient of the target time resolution of the downward longwave radiation corresponding to the natural surface.
[0097] ; Formula (2)
[0098] Wherein, The incremental coefficient of the downward long-wave radiation representing the target temporal resolution, \(i\) represents the time series of data collected at the target temporal resolution, \(N\) represents the adjustment coefficient of the target temporal resolution relative to the half-hourly resolution, , and \(n\) represents the total number of daily time series corresponding to the target temporal resolution.
[0099] For example, taking the half-hourly resolution as an example, starting from 00:00 local time to 23:30, there are a total of 48 time points, arranged in ascending order from 00:00 onwards, and \(i\) is successively 0 - 47.
[0100] Taking the half-hourly resolution as an example, \(n = 48\), \(N = 1\) (i.e., no adjustment is required);
[0101] Taking the 10-minute resolution as an example, \(n = 144\), \(N = 3\) (i.e., adjusted three times).
[0102] Based on this scheme, different time periods of a day can be divided into 4 segments to calculate the radiation increment separately, so that the radiation increment of the downward long-wave with significant differences in different time periods can be accurately estimated. Thus, based on the radiation increment of each time period, the downward long-wave radiation amount corresponding to each time series on the surface of the photovoltaic power station can be accurately estimated.
[0103] Optionally, in the method for estimating the downward long-wave radiation in the photovoltaic power station provided by the embodiments of the present disclosure, the above S203 can be specifically executed through the following S203a:
[0104] Based on formula (3), the downward long-wave radiation amount corresponding to each time series on the surface of the photovoltaic power station is calculated using the downward long-wave radiation amount corresponding to the natural surface and the radiation increment coefficient.
[0105] ; Formula (3)
[0106] Wherein, represents the downward long-wave radiation amount corresponding to each time series on the surface of the photovoltaic power station daily, represents the downward long-wave radiation amount corresponding to each time series on the natural surface daily, represents the annual average downward long-wave radiation amount of the natural surface, , \(a\) and \(b\) are constants, represents the acquisition frequency of
[0107] Exemplarily, \(a = 9.71\), \(b=-1.96\). If half-hourly time series data is used, there are a total of \(365\times48\) data points per year, that is, \(M = 365\times48\).
[0108] Based on this solution, the downward long-wave radiation of the photovoltaic power station surface can be accurately estimated according to the above formula, the calculated radiation increment coefficient, and the downward long-wave radiation of the natural surface obtained, so as to provide data support for evaluating the night heat preservation effect of large-scale photovoltaic power stations, and further conduct a more extensive evaluation of the ecological environment effect of photovoltaic power stations. For example, the long-wave heat preservation effect of photovoltaic power stations at night can be quantitatively evaluated.
[0109] Figure 3 The following is a schematic diagram of the logical processing for estimating the downward long-wave radiation provided by an embodiment of the present disclosure. As Figure 3 shown, the logical processing sequence is as follows: Determine the downward long-wave radiation of the natural surface. If there are observation data of the downward long-wave radiation of the natural surface, directly determine whether the observed downward long-wave radiation of the natural surface is local time; if there are no observation data of the downward long-wave radiation of the natural surface, estimate the downward long-wave radiation of the natural surface according to the surface air temperature and water vapor pressure of the natural surface at a preset distance from the photovoltaic power station, and then determine whether the estimated downward long-wave radiation of the natural surface is local time; if it is not local time data, convert the time zone; if it is local time data, directly extract the daily data of n frequencies; calculate N and , based on and calculate , obtain the target downward long-wave radiation of n frequencies per day, and then calculate the downward long-wave radiation of the next day in a loop.
[0110] Example:
[0111] Figure 4 The following is a schematic diagram of a single-day comparison of hourly downward long-wave radiation provided by an embodiment of the present disclosure. As Figure 4 shown, the downward long-wave radiation in the large-scale photovoltaic power station gradually increases compared with that of the natural surface after 12:00, and is stably 30 W / m 2 higher than that of the natural surface after 21:00, until 6:00 on the second day. This phenomenon is the main reason for the night heat preservation effect of the photovoltaic power station. After adopting the estimation model of the present invention, the long-wave radiation of the natural surface can be stably increased to a level close to the observed value from afternoon to early morning of the next day.
[0112] It should be noted that if the local time conversion is not performed, it will cause a time shift in the calculation result, and its fluctuation curve (as Figure 4 shown) will shift to the left or right as a whole, resulting in a large error. By converting the standard time to local time in the embodiments of the present disclosure, the downward long-wave radiation in the photovoltaic power station can be calculated more accurately in different time periods.
[0113] Figure 5 The following is a schematic diagram of an annual comparison of daily downward long-wave radiation provided by an embodiment of the present disclosure. AsFigure 5 As shown, over the whole year, the heat preservation effect of the photovoltaic power station in winter is significant, and the downward long-wave radiation is significantly higher than that outside the photovoltaic power station. The long-wave radiation estimated in this disclosure is also closer to the observed value inside the photovoltaic power station than the natural ground surface.
[0114] Corresponding to the embodiments of the foregoing method, the present disclosure also provides embodiments of a device and a computer device to which the device is applied.
[0115] The embodiments of the device of the present disclosure can be applied to a computer device, such as a server or a terminal device. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, it is determined as a logically meaningful device by the processor of the downward long-wave radiation estimation device in the photovoltaic power station where it is located reading the corresponding computer program instructions in the non-volatile memory into the memory for operation. From the hardware level, as Figure 6 shown, it is a hardware structure diagram of the computer device where the downward long-wave radiation estimation device in the photovoltaic power station of the embodiment of the present disclosure is located. In addition to Figure 6 the shown processor 610, memory 630, network interface 620, and non-volatile memory 640, the server or electronic device where the downward long-wave radiation estimation method 631 in the photovoltaic power station of the embodiment is located usually includes other hardware according to the actual functions of the computer device, which will not be elaborated here.
[0116] As Figure 7 shown, Figure 7 It is a schematic structural diagram of an apparatus for estimating downward long-wave radiation in a photovoltaic power station provided by an embodiment of the present disclosure. The apparatus 700 for estimating downward long-wave radiation in the photovoltaic power station includes: an acquisition module 701, an incremental coefficient estimation module 702, and a radiation amount estimation module 703; the acquisition module is configured to acquire the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station; the incremental coefficient estimation module is configured to determine a timing adjustment coefficient, and based on the timing adjustment coefficient, estimate a radiation incremental coefficient based on timing segmentation; the radiation incremental coefficient indicates the radiation increment situation of the downward long-wave radiation corresponding to the ground surface in the photovoltaic power station compared to the natural ground surface; the radiation amount estimation module is configured to estimate the downward long-wave radiation amount corresponding to each timing of the ground surface in the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural ground surface at a preset distance from the photovoltaic power station and the radiation incremental coefficient.
[0117] Optionally, the incremental coefficient estimation module is specifically configured to: determine the total number of daily timings corresponding to the target time resolution; determine the timing adjustment coefficient based on the total number of daily timings corresponding to the target time resolution and the total number of daily timings corresponding to the half-hourly resolution; wherein the target time resolution is the time resolution of the downward long-wave radiation amount corresponding to the acquired natural ground surface.
[0118] Optionally, the acquisition module is specifically configured to: collect the surface air temperature and water vapor pressure of the natural surface at a target time resolution; estimate the downward long-wave radiation amount corresponding to the natural surface according to the surface air temperature and water vapor pressure of the natural surface at the target time resolution.
[0119] Optionally, the estimation device for downward long-wave radiation in the photovoltaic power station further includes: a time conversion module; after the time conversion module obtains the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station, if the original data time is the standard time, determine the time offset value according to the standard time and the local time corresponding to the photovoltaic power station; move the time of the original data as a whole by the time offset value to obtain the data of the local time; wherein, the original data is the downward long-wave radiation amount corresponding to the obtained natural surface, or the surface air temperature and water vapor pressure of the collected natural surface.
[0120] Optionally, the estimation device for downward long-wave radiation in the photovoltaic power station further includes: a time series reorganization module; after the time series reorganization module moves the time of the original data as a whole by the time offset value, in the case of collecting the original data at a target time resolution, determine the target data of the time series to be reorganized in the data collected daily according to the time zone where the photovoltaic power station is located; if the time zone of the photovoltaic power station is in the eastern zone of the standard time, move the target data of each day to the end of the previous day, or, if the time zone of the photovoltaic power station is in the western zone of the standard time, move the target data collected daily to the beginning of the next day to form a daily continuous time series, so as to obtain the downward long-wave radiation amount of the natural surface at the target time resolution corresponding to the photovoltaic power station at a preset distance daily.
[0121] Optionally, the incremental estimation module is specifically configured to: calculate the radiation increment coefficient of the downward long-wave radiation corresponding to the surface of the photovoltaic power station compared to the downward long-wave radiation of the natural surface at the target time resolution based on the first preset formula and the time series adjustment coefficient; the first preset formula includes: ; where represents the increment coefficient of the downward long-wave radiation at the target time resolution, i represents the time series of collecting data at the target time resolution, N represents the time series adjustment coefficient of the target time resolution relative to the time series with a resolution of half an hour, , n represents the total number of daily time series corresponding to the target time resolution.
[0122] Optionally, the radiation amount estimation module is specifically configured to: calculate the downward long-wave radiation amount corresponding to each time series of the surface of the photovoltaic power station daily based on the second preset formula, the downward long-wave radiation amount corresponding to the natural surface daily, and the radiation increment coefficient; the second preset formula includes: ; where Represents the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station every day. Represents the downward long-wave radiation amount corresponding to each time sequence on the natural surface every day. Represents the annual average downward long-wave radiation amount of the natural surface. , where a and b are constants. Represents The acquisition frequency of.
[0123] The estimation device for downward long-wave radiation in the photovoltaic power station provided by the embodiments of the present disclosure acquires the downward long-wave radiation amount of the natural surface at a preset distance from the photovoltaic power station; and determines the time sequence adjustment coefficient. According to the time sequence adjustment coefficient, based on time sequence segmentation, it estimates the radiation increment coefficient of the downward long-wave radiation corresponding to the surface of the photovoltaic power station compared with the natural surface; according to the downward long-wave radiation amount and the radiation increment coefficient corresponding to the natural surface at a preset distance from the photovoltaic power station, it estimates the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station. This solution provides an estimation model for estimating the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station, which can generate the radiation increment coefficient of the downward long-wave corresponding to the surface. Taking the downward long-wave radiation of the natural surface outside the photovoltaic power station as the reference radiation of the natural surface without photovoltaic panels in the photovoltaic power station, based on the reference radiation and the increment coefficient, it can accurately estimate the downward long-wave radiation amount in each time period in the photovoltaic power station, so as to provide a quantitative evaluation data basis for the night heat preservation phenomenon.
[0124] Correspondingly, the present disclosure also provides an estimation device for downward long-wave radiation in a photovoltaic power station. The estimation device for downward long-wave radiation in the photovoltaic power station includes a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to: acquire the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station; determine the time sequence adjustment coefficient, and based on the time sequence adjustment coefficient, estimate the radiation increment coefficient by time sequence segmentation; the radiation increment coefficient indicates the radiation increment situation of the downward long-wave radiation corresponding to the surface in the photovoltaic power station compared with the natural surface; according to the downward long-wave radiation amount corresponding to the natural surface and the radiation increment coefficient, estimate the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station.
[0125] The present disclosure also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each step in the above method embodiments.
[0126] The present disclosure also provides a computer device. The computer device includes a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. Wherein, when the computer-readable instructions are executed by the processor, they implement each step in the above method embodiments.
[0127] For the implementation processes of the functions and roles of each module in the above device, please refer to the implementation processes of the corresponding steps in the above method for details, which will not be elaborated here.
[0128] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The device embodiments described above are merely illustrative. The modules determined as separated components may or may not be physically separated, and the components determined as modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the present disclosure solution. A person of ordinary skill in the art can understand and implement it without creative efforts.
[0129] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0130] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the invention herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include the known common knowledge or conventional technical means in the technical field not claimed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.
[0131] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.
[0132] The above are only the preferred embodiments of the present disclosure and are not intended to limit the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present disclosure shall be included within the scope of protection of the present disclosure.
Claims
1. A method for estimating downward long-wave radiation in a photovoltaic power station, characterized in that, The method includes: Obtaining the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station; Determining the total number of daily time series corresponding to the target time resolution; based on the total number of daily time series corresponding to the target time resolution and the total number of daily time series corresponding to the half-hourly resolution, determining a time series adjustment coefficient, and based on the time series adjustment coefficient, estimating a radiation increment coefficient by time series segmentation; wherein, the target time resolution is the time resolution of the downward long-wave radiation amount corresponding to the obtained natural surface; the radiation increment coefficient indicates the radiation increment situation of the downward long-wave radiation corresponding to the surface in the photovoltaic power station compared with the natural surface; Estimating the downward long-wave radiation amount corresponding to each time series of the surface of the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural surface and the radiation increment coefficient.
2. The method according to claim 1, wherein The obtaining the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station includes: Collecting the surface air temperature and water vapor pressure of the natural surface at the target time resolution; Estimating the downward long-wave radiation amount corresponding to the target time resolution of the natural surface according to the surface air temperature and water vapor pressure of the natural surface at the target time resolution.
3. The method according to claim 2, wherein After obtaining the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station, the method further includes: If the original data time is the standard time, determining a time offset value according to the standard time and the local time corresponding to the photovoltaic power station; Moving the time of the original data as a whole by the time offset value to obtain the data in local time; Wherein, the original data is the downward long-wave radiation amount corresponding to the obtained natural surface, or the surface air temperature and water vapor pressure of the collected natural surface.
4. The method according to claim 3, wherein After moving the time of the original data as a whole by the time offset value, the method further includes: In the case of collecting the original data at the target time resolution, determining the target data of the daily time series to be reorganized in the data collected daily according to the time zone where the photovoltaic power station is located; If the time zone of the photovoltaic power station is in the eastern zone of the standard time, moving the daily target data to the end of the previous day, or, if the time zone of the photovoltaic power station is in the western zone of the standard time, moving the daily collected target data to the beginning of the next day to form a daily continuous time series, so as to obtain the downward long-wave radiation amount corresponding to the target time resolution of the natural surface at a preset distance from the photovoltaic power station every day.
5. The method according to any one of claims 1 to 4, characterized in that, The estimating the radiation increment coefficient by time series segmentation according to the time series adjustment coefficient includes: Calculating the radiation increment coefficient corresponding to the target time resolution of the downward long-wave radiation corresponding to the surface of the photovoltaic power station compared with the downward long-wave radiation corresponding to the natural surface by time series segmentation according to a first preset formula and the time series adjustment coefficient; The first preset formula includes: ; Among them, represents the increment coefficient of the downward longwave radiation for the target time resolution, i represents the time sequence of collecting data at the target time resolution, N represents the time sequence adjustment coefficient of the target time resolution relative to the time sequence with a resolution of half an hour, , n represents the total number of daily time sequences corresponding to the target time resolution.
6. The method according to claim 5, characterized in that, The estimating the downward long-wave radiation amount corresponding to each time series of the surface of the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural surface and the radiation increment coefficient includes: Calculate the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station every day based on the second preset formula, the downward long-wave radiation amount corresponding to the natural surface every day, and the radiation increment coefficient. The second preset formula includes: ; Among them, represents the downward long-wave radiation amount corresponding to each time sequence of the surface of the photovoltaic power station every day, represents the downward long-wave radiation amount corresponding to each time sequence of the natural surface every day, represents the annual average downward long-wave radiation amount of the natural surface, , where a and b are constants, represents the acquisition frequency of 7. An estimation device for downward long-wave radiation in a photovoltaic power station, characterized in that, The estimation device includes: an acquisition module, an increment coefficient estimation module, and a radiation amount estimation module. The acquisition module is used to acquire the downward long-wave radiation amount corresponding to the natural surface at a preset distance from the photovoltaic power station. The increment coefficient estimation module is used to determine the total number of daily time sequences corresponding to the target time resolution; based on the total number of daily time sequences corresponding to the target time resolution and the total number of daily time sequences corresponding to the half-hourly resolution, determine the time sequence adjustment coefficient, and based on the time sequence adjustment coefficient, estimate the radiation increment coefficient by time sequence segmentation; wherein, the target time resolution is the time resolution of the downward long-wave radiation amount corresponding to the acquired natural surface; the radiation increment coefficient indicates the radiation increment situation of the downward long-wave radiation corresponding to the surface in the photovoltaic power station compared to the natural surface. The radiation amount estimation module is used to estimate the downward long-wave radiation amount corresponding to each time sequence on the surface of the photovoltaic power station according to the downward long-wave radiation amount corresponding to the natural surface and the radiation increment coefficient.
8. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the program, the steps of the method for estimating the downward long-wave radiation in the photovoltaic power station according to any one of claims 1 to 6 are implemented.
9. A readable storage medium, characterized in that, A program or instruction is stored on the readable storage medium, and when the program or instruction is executed by the processor, the steps of the method for estimating the downward long-wave radiation in the photovoltaic power station according to any one of claims 1 to 6 are implemented.
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