A test and analysis system and method based on compressed air energy storage

Abstract

The present application discloses a test and analysis system and method based on compressed air energy storage, relating to the technical field of compressed air energy storage. The method includes: obtaining the compression environment of the compressed air energy storage, analyzing the quality of the compressed air according to the compression environment of the compressed air energy storage and recording it as the primary air quality BZ; obtaining the location of the compressed air energy storage, analyzing the air quality change degree BH according to the location of the compressed air energy storage; calculating the final air quality AK according to the air correlation function; obtaining the electricity demand during the peak electricity consumption period, analyzing the matching degree AP between the release pressure and the electricity demand; analyzing the environmental protection degree AH according to the operating parameters of the compressed air energy storage; calculating the performance AX of the compressed air energy storage according to the performance correlation function, and transmitting the performance AX of the compressed air energy storage to the user terminal as the test result. The present application improves the accuracy of the test and analysis based on compressed air energy storage.

Description

Technical Field

[0001] The present application relates to the technical field of compressed air energy storage, and particularly relates to a test analysis system and method based on compressed air energy storage. Background Technique

[0002] Compressed air energy storage refers to a method of energy storage in which electrical energy is used to compress air during the low-load period of the power grid, and the air is sealed under high pressure in abandoned mines, sunken undersea gas storage tanks, caves, expired oil and gas wells or newly built gas storage wells, and the compressed air is released during the peak-load period of the power grid to drive a steam turbine to generate electricity. Compressed air energy storage technology has the advantages of large scale, long duration, high safety, environmental protection, etc., and is studied and applied globally, especially in countries and regions that pursue the utilization of renewable energy and grid stability. With the progress of technology and the reduction of costs, compressed air energy storage is expected to play a more important role in the future energy system.

[0003] In the related art, the test of compressed air energy storage relies on the analysis of relevant data of compressed air energy storage equipment to evaluate the performance of compressed air energy storage. However, compressed air energy storage is not only related to compressed air equipment, and its performance will vary under different scenarios. This leads to inaccurate results in solely relying on equipment to evaluate performance, and there is room for improvement. Summary of the Invention

[0004] The purpose of the present invention is to provide a test analysis system and method based on compressed air energy storage to solve the problems raised in the above background technique.

[0005] In a first aspect, a test analysis method based on compressed air energy storage provided by the present application adopts the following technical solution:

[0006] Obtain the compression environment of compressed air energy storage, analyze the quality of the compressed air according to the compression environment of compressed air energy storage and record it as the primary air quality BZ;

[0007] Based on the primary air quality, obtain the location of compressed air energy storage, and analyze the air quality change degree BH according to the location of compressed air energy storage;

[0008] According to the air correlation function Calculate to obtain the final air quality AK;

[0009] Based on the final air quality AK, obtain the electricity demand during the peak electricity consumption period, and analyze the matching degree AP between the release pressure and the electricity demand;

[0010] Obtain the operating parameters of compressed air energy storage, and analyze the environmental protection degree AH according to the operating parameters of compressed air energy storage;

[0011] According to the performance correlation function The compressed air energy storage performance AX is calculated, where , , are scale factors and greater than 0, and the compressed air energy storage performance AX is transmitted to the user side as the test result.

[0012] By adopting the above technical solution, according to the compression environment and compression position of the compressed air energy storage, the quality of the compressed air is comprehensively analyzed, and then combined with the matching degree between the compressed air energy storage and the electricity demand in the usage scenario and the environmental protection performance, the performance of the compressed air energy storage is comprehensively analyzed, improving the accuracy of the test analysis based on the compressed air energy storage.

[0013] Preferably, the step of obtaining the compression environment of the compressed air energy storage and analyzing the quality of the compressed air after compression according to the compression environment of the compressed air energy storage and recording it as the primary air quality BZ is specifically as follows:

[0014] Obtain the compression time period of the compressed air energy storage, and retrieve the compression environment of the compression time period of the compressed air energy storage;

[0015] The compression environment includes the initial air quality BC and meteorological conditions;

[0016] The meteorological conditions include temperature BW, humidity BS, and wind speed BF;

[0017] According to the primary air quality correlation function The primary air quality BZ is calculated, where , , are scale factors and greater than 0.

[0018] By adopting the above technical solution, according to the temperature, humidity, and wind speed in the compression time period, the influence of temperature, humidity, and wind speed on the air quality can be analyzed, and the air quality at different times can be obtained, which is more accurate and improves the accuracy of the test analysis based on the compressed air energy storage.

[0019] Preferably, based on the primary air quality, the step of obtaining the compressed air energy storage position and analyzing the air quality change degree BH according to the compressed air energy storage position is specifically as follows:

[0020] Based on the compressed air energy storage position, obtain the greening influence degree LH around the compressed air energy storage position;

[0021] Based on the compression time period of the compressed air energy storage, obtain the human activity amount LR around the compressed air energy storage position during the compression time period;

[0022] According to the change degree correlation function The air quality change degree BH is calculated, where , is a scale factor and is greater than 0;

[0023] Based on the air quality change degree BH, an air quality change degree threshold is set. When the air quality change degree BH reaches the air quality change degree threshold, the energy storage position parameter is adjusted.

[0024] By adopting the above technical solution, the greening degree and the amount of human activities around the compressed air energy storage can be obtained according to the position of the compressed air energy storage, and the performance of the compressed air energy storage at different positions can be distinguished, which is applicable to the test analysis of the compressed air energy storage at more positions and improves the applicability of the test analysis based on the compressed air energy storage.

[0025] Preferably, the step of obtaining the greening influence degree LH around the compressed air energy storage position based on the compressed air energy storage position is specifically:

[0026] Based on the compressed air energy storage position, a circular diffusion circle is formed with the compressed air energy storage position as the center;

[0027] Based on the circular diffusion circle, it is divided into at least two annular regions according to the distance and marked as annular regions;

[0028] Based on the annular region, match the degree of influence on air compression energy storage corresponding to different annular regions and mark it as , where i is the number of different annular regions;

[0029] Based on the annular region, calculate the greening degree of different annular regions , where i is the number of different annular regions;

[0030] Calculate according to the annular correlation function to obtain the total greening influence degree of different annular regions , where i is the number of different annular regions and r is the maximum number of different annular regions.

[0031] Through the above technical solution, the circular diffusion circle formed by the position of the compressed air energy storage is segmented, and the greening influence degrees of different annular regions are analyzed one by one and accumulated to obtain the greening influence degree. According to the greening influence degree, the change degree of air quality is analyzed, and the accuracy of the test analysis based on the compressed air energy storage is improved.

[0032] Preferably, the step of calculating the greening degree of different annular regions , where i is the number of different annular regions, is specifically:

[0033] Set the vegetation height range and match the corresponding vegetation height levels, and match the corresponding vegetation dust-blocking degree according to the vegetation height levels;

[0034] Based on the circular area, obtain the vegetation height of the circular area, divide different height areas according to the vegetation height of the circular area, and obtain the vegetation planting areas of different height areas , where m is the number of different height areas;

[0035] Match the corresponding vegetation dust-blocking degree according to the vegetation height of the circular area , where m is the number of different height areas;

[0036] According to the circular greening degree correlation function Calculate the greening degree CL of the circular area, where m is the number of different height areas and n is the maximum number of different height areas.

[0037] By adopting the above technical solutions, the vegetation of each circular area is height-differentiated, and according to the planting areas of the vegetation at different heights, the greening degrees of different circular areas are comprehensively analyzed. Differentiating different vegetation heights and planting areas is beneficial to obtaining more accurate and reliable data, and improves the reliability of the test analysis based on compressed air energy storage.

[0038] Preferably, the step of obtaining the amount of human activity LR around the compressed air energy storage location during the compression time period based on compressed air energy storage is specifically as follows:

[0039] Based on the compressed air energy storage location, obtain the number of animals in different compression time periods within the range of the compressed air energy storage location , according to the number of animals in different compression time periods Obtain the animal activity amounts in different compression time periods , where t is the number of different compression time periods;

[0040] Based on the compression time period of compressed air energy storage, match and obtain the corresponding animal activity amount ED;

[0041] Based on the compression time period of the compressed air energy storage, obtain the pedestrian activity amount ER during the compression time period of the compressed air energy storage;

[0042] According to the human activity correlation function Calculate the human activity amount LR, where 、 are scale factors and are greater than 0.

[0043] By adopting the above technical solution, the activities of animals and pedestrians around the compressed air energy storage are obtained according to the location of the compressed air energy storage, and the activity amount of people is comprehensively obtained. Matching the activity amount of people in the compressed time period is beneficial to the subsequent analysis of the air quality change in the compressed time period, and improves the scope of the test analysis based on the compressed air energy storage.

[0044] Preferably, based on the air quality change degree BH, an air quality change degree threshold is set. When the air quality change degree BH reaches the air quality change degree threshold, the step of adjusting the energy storage position parameter is specifically as follows:

[0045] Based on the air quality change degree BH, an air quality change degree threshold is set. If the air quality change degree BH reaches the air quality change degree threshold, the difference between the air quality change degree BH and the air quality change degree threshold is calculated and recorded as the change difference;

[0046] Based on the change difference, analyze the air quality change degree after restricting pedestrian activities and record it as the pedestrian change degree;

[0047] Based on the pedestrian change degree, if the pedestrian change degree is not less than the change difference, restrict pedestrian activities;

[0048] If the pedestrian change degree is less than the change difference, analyze the air quality change degree after restricting animal activities and record it as the animal change degree;

[0049] Calculate the sum of the pedestrian change degree and the animal change degree and mark it as the person change degree. If the person change degree is not less than the change difference, restrict pedestrian activities and animal activities;

[0050] If the person change degree is less than the change difference, do not restrict pedestrian and animal activities, and increase the number of vegetation.

[0051] By adopting the above technical solution, the air quality is improved by different methods such as restricting pedestrian activities, animal activities and increasing the number of vegetation, thereby improving the performance of the compressed air energy storage. Specific problems adopt specific solutions, which improves the intelligence of the test analysis based on the compressed air energy storage.

[0052] Preferably, based on the final air quality AK, the steps of obtaining the electricity demand during the peak electricity consumption period and analyzing the matching degree AP between the release pressure and the electricity demand are specifically as follows:

[0053] Based on the final air quality AK, establish a positive correlation curve between the release pressure and the power generation under the final air quality AK, and analyze the power generation according to the positive correlation curve between the release pressure and the power generation under the final air quality AK;

[0054] Obtain the electricity consumption during the peak electricity consumption period;

[0055] Calculate the difference between the power generation of the compressed air energy storage and the electricity consumption during the peak electricity consumption period, and record it as the electricity consumption difference GX;

[0056] Based on the electricity consumption difference, according to the matching degree correlation function Calculate the obtained matching degree AP, where 、 Are scale factors, both greater than 0, and .

[0057] By adopting the above technical solution, analyzing the matching degree between the compressed air energy storage and the usage scenario according to the actual electricity consumption demand in the usage scenario and the power generation of the compressed air energy storage can be more in line with the actual usage scenario, which is conducive to obtaining more accurate data results and improving the accuracy of the test analysis based on the compressed air energy storage.

[0058] Preferably, the steps of obtaining the operation parameters of the compressed air energy storage and analyzing the environmental friendliness AH according to the operation parameters of the compressed air energy storage are specifically as follows:

[0059] Obtain the initial noise And vibration ZD during the operation of the compressed air energy storage device;

[0060] Based on the circular area, match the noise impact degree corresponding to different circular areas according to the distance and mark it as , where i is the number of different circular areas;

[0061] Based on the greening degree Of the different circular areas, establish a positive correlation curve between the greening degree Of the different circular areas and the number of animals. According to the positive correlation curve between the greening degree Of the different circular areas and the number of animals, analyze the number of animals In different circular areas, where i is the number of different circular areas;

[0062] According to the environmental friendliness correlation function Calculate the obtained environmental friendliness AH, where 、 、 Are scale factors and less than 0, i is the number of different circular areas, and r is the maximum number of different circular areas.

[0063] By adopting the above technical solution, analyzing the environmental protection performance of the compressed air energy storage according to the noise and vibration, and combining the noise caused by the greening for improving air quality, more comprehensively analyze the performance of the compressed air energy storage, and improve the comprehensiveness of the test analysis based on the compressed air energy storage.

[0064] In a second aspect, a test and analysis system based on compressed air energy storage provided by the present application adopts the following technical solutions:

[0065] A test and analysis system based on compressed air energy storage includes a primary module, a change module, a quality module, a matching module, an environmental protection module, and a performance module;

[0066] The primary module obtains the compression environment of the compressed air energy storage, analyzes the quality of the compressed air according to the compression environment of the compressed air energy storage, and records it as the primary air quality BZ;

[0067] Based on the primary air quality, the change module obtains the location of the compressed air energy storage, and analyzes the air quality change degree BH according to the location of the compressed air energy storage;

[0068] The quality module calculates the final air quality AK according to the air correlation function ;

[0069] Based on the final air quality AK, the matching module obtains the electricity demand during the peak electricity consumption period, and analyzes the matching degree AP between the release pressure and the electricity demand;

[0070] The environmental protection module obtains the operating parameters of the compressed air energy storage, and analyzes the environmental protection degree AH according to the operating parameters of the compressed air energy storage;

[0071] The performance module calculates the performance AX of the compressed air energy storage according to the performance correlation function where, , , are scale factors and are greater than 0, and the performance AX of the compressed air energy storage is transmitted to the user terminal as the test result.

[0072] Through the above technical solutions, the performance of the compressed air energy storage in different usage scenarios is analyzed by using electronic modules, analyzing specific situations specifically, reducing the cumbersome work of personnel for analysis, reducing the subjectivity of judgment results, and improving the convenience of the test and analysis based on compressed air energy storage.

[0073] To sum up, the present application includes at least one of the following beneficial technical effects:

[0074] 1. According to the compression environment and compression location of the compressed air energy storage, comprehensively analyze the quality of the compressed air, and then combine the matching degree between the compressed air energy storage and the electricity demand in the usage scenario and the environmental protection performance to comprehensively analyze the performance of the compressed air energy storage, improving the accuracy of the test and analysis based on compressed air energy storage.

[0075] 2. By obtaining the greening degree and the amount of human activities around the compressed air energy storage according to the location of the compressed air energy storage, the performance of the compressed air energy storage at different locations can be distinguished, which is applicable to the test analysis of compressed air energy storage at more locations and improves the applicability of the test analysis based on compressed air energy storage.

[0076] 3. Differentiate the height of the vegetation in each circular area, and comprehensively analyze the greening degree of different circular areas according to the planting area of the vegetation at different heights. Differentiating different vegetation heights and planting areas is conducive to obtaining more accurate and reliable data, and improves the reliability of the test analysis based on compressed air energy storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 is a schematic diagram of the specific steps of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0078] Figure 2 is a schematic diagram of the specific steps of step 1 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0079] Figure 3 is a schematic diagram of the specific steps of step 2 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0080] Figure 4 is a schematic diagram of the specific steps of step 21 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0081] Figure 5 is a schematic diagram of the specific steps of step 214 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0082] Figure 6 is a schematic diagram of the specific steps of step 22 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0083] Figure 7 is a schematic diagram of the specific steps of step 24 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0084] Figure 8 is a schematic diagram of the specific steps of step 4 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention;

[0085] Figure 9 is a schematic diagram of the specific steps of step 5 of an embodiment of a test analysis method based on compressed air energy storage according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0086] The following combines the embodiments and the attached Figures 1-9A further detailed description of the present invention is provided, but the implementation manners of the present invention are not limited thereto.

[0087] Embodiment:

[0088] The present invention discloses a test and analysis method based on compressed air energy storage. Referring to Figure 1 , it specifically includes the following steps:

[0089] Step S1: Obtain the compression environment of the compressed air energy storage, and analyze the quality of the compressed air according to the compression environment of the compressed air energy storage, and record it as the primary air quality BZ.

[0090] Step S2: Based on the primary air quality, obtain the location of the compressed air energy storage, and analyze the air quality change degree BH according to the location of the compressed air energy storage.

[0091] Step S3: Calculate the final air quality AK according to the air correlation function .

[0092] Step S4: Based on the final air quality AK, obtain the electricity demand during the peak electricity consumption period, and analyze the matching degree AP between the release pressure and the electricity demand.

[0093] Step S5: Obtain the operating parameters of the compressed air energy storage, and analyze the environmental protection degree AH according to the operating parameters of the compressed air energy storage.

[0094] Step S6: Calculate the performance AX of the compressed air energy storage according to the performance correlation function , where , , are scale factors and are greater than 0, and transmit the performance AX of the compressed air energy storage to the user terminal as the test result.

[0095] In actual application, the compressed air energy storage is not only affected by the compressed air energy storage equipment, but also affected by the usage scenario. Under different air qualities, the compressed air quality is also different. Higher-quality air can improve the performance of the compressed air energy storage. Therefore, the performance of different compressed air energy storages is different in different usage environments. For example, the air quality in place A is good, and the haze in place B is relatively serious. Under the same compressed air energy storage equipment, the purity of the compressed air in place A is higher, and the electricity generated during power generation will also be greater. For the compressed air energy storage, the performance is better. Testing and analyzing the performance of the compressed air energy storage according to the air quality will obtain more accurate results.

[0096] Referring to Figure 2 , the step of obtaining the compression environment of the compressed air energy storage and analyzing the quality of the compressed air according to the compression environment of the compressed air energy storage and recording it as the primary air quality BZ is specifically as follows:

[0097] Step S11: Obtain the compression time period of compressed air energy storage, and retrieve the compression environment during the compression time period of compressed air energy storage.

[0098] The compression time period of compressed air energy storage is obtained during the low electricity consumption period. Since the electricity demand is not high, during the low electricity consumption period, the excess electricity can be used to compress air.

[0099] Step S12: The compression environment includes the initial air quality BC and meteorological conditions.

[0100] Step S13: The meteorological conditions include temperature BW, humidity BS, and wind speed BF.

[0101] It should be noted that the initial air quality and meteorological conditions are obtained from the information released by the meteorological station.

[0102] Step S14: According to the primary air quality correlation function Calculate the primary air quality BZ, where , , are proportionality factors and are greater than 0.

[0103] In practical applications, air quality is affected by temperature, humidity, and wind speed. The higher the temperature, the higher the concentration of pollutants in the air. This is because high temperatures cause the atmospheric stable layer to decrease, making it difficult for pollutants to disperse and dilute, resulting in an increase in pollutant concentration. The increase in humidity will increase the number of water molecules in the air, which may promote the chemical reactions of certain pollutants, such as the formation of sulfates and nitrates, which are important components of PM2.5. At the same time, under high humidity conditions, the particulate matter in the air is more likely to adsorb water molecules, increasing its volume, which may lead to a decrease in visibility and poor air quality. An increase in wind speed will cause fine particulate matter (such as PM2.5) to be more easily suspended in the air. In dry areas or during sandstorm weather, too high a wind speed will cause the suspension and spread of particulate matter, thus affecting air quality. Even in the same city, due to reasons such as buildings and vegetation, the temperature, humidity, and wind speed in different areas will vary, resulting in changes in air quality.

[0104] Refer to Figure 3 , the steps of obtaining the compressed air energy storage location based on the primary air quality and analyzing the air quality change degree BH according to the compressed air energy storage location are as follows:

[0105] Step S21: Based on the compressed air energy storage location, obtain the greening influence degree LH around the compressed air energy storage location.

[0106] Step S22: Based on the compression time period of compressed air energy storage, obtain the amount of human activities LR around the location of compressed air energy storage during the compression time period.

[0107] Step S23: According to the change degree correlation function calculate the air quality change degree BH, where 、 is a proportionality factor and is greater than 0.

[0108] Step S24: Based on the air quality change degree BH, set the air quality change degree threshold. When the air quality change degree BH reaches the air quality change degree threshold, adjust the energy storage location parameters.

[0109] In practical applications, the storage conditions of compressed air are different, which causes the air quality to change. Through greening, on the one hand, it can purify the air, and on the other hand, it can block some dust particles, making the air quality significantly better. The activities of humans and animals will cause dust particles to float, making the air quality worse. For example, the compressed air stored in a cave will have better air quality because there are many trees on the mountain than the compressed air stored in an abandoned mine. The abandoned mine is not ventilated and is prone to accumulating more dust particles. Therefore, for different storage locations, even if environmental factors such as temperature, humidity, and wind speed are the same, the air quality will deviate due to the storage location.

[0110] Refer to Figure 4 to obtain the steps of the greening influence degree LH around the compressed air energy storage location based on the compressed air energy storage location, specifically:

[0111] Step S211: Based on the compressed air energy storage location, form a circular diffusion circle with the compressed air energy storage location as the center.

[0112] Step S212: Based on the circular diffusion circle, divide it into at least two annular regions according to the distance and label them as annular regions.

[0113] Step S213: Based on the annular regions, match the influence degree on air compression energy storage corresponding to different annular regions and label it as , where i is the number of different annular regions.

[0114] Step S214: Based on the annular regions, calculate the greening degree of different annular regions , where i is the number of different annular regions.

[0115] Step S215: Calculate to obtain the total greening influence degree of different annular regions , where i is the number of different annular regions and r is the maximum number of different annular regions.

[0116] In actual application, taking the storage location as the center point, a circular diffusion circle is set with a distance radius. The farther away from the storage location, the smaller the impact on the storage location. The circular diffusion circle is divided by distance, and different annular regions are analyzed independently to analyze the greening degree and impact degree of different annular regions, and comprehensively confirm the degree of greening impact on the storage location. For example, taking the storage radius as the center and a radius of 6 meters, a circular diffusion circle is formed. It is divided every two meters to obtain 3 annular regions. The first annular region is the closest to the storage location, with an impact degree of 50%. The second annular region has an impact degree of 30%, and the third annular region has an impact degree of 20%. The greening degree of the first annular region is 50%, the greening degree of the second annular region is 80%, and the greening degree of the third annular region is 30%. Then the total greening impact degree is 50%×50% + 30%×80% + 20%×30% = 55%.

[0117] Refer to Figure 5 , based on the annular region, calculate the greening degree of different annular regions , where i is the number of different annular regions, the specific steps are as follows:

[0118] Step S2141, set the vegetation height range and match the corresponding vegetation height level, and match the corresponding vegetation dust-blocking degree according to the vegetation height level.

[0119] Different vegetation heights block different degrees of dust. Obviously, forests block more dust than grasslands and can play a better role in purifying the air. Match the vegetation height level according to the determined range. For example, a vegetation height of 0 - 10 cm is set as level 1, and the corresponding vegetation dust-blocking degree is 50%.

[0120] Step S2142, based on the annular region, obtain the vegetation height of the annular region, divide different height regions according to the vegetation height of the annular region, and obtain the vegetation planting area of different height regions , where m is the number of different height regions.

[0121] The vegetation height can be obtained by taking pictures and calculating according to the ratio of the picture to the actual situation.

[0122] Step S2143, match the corresponding vegetation dust-blocking degree according to the vegetation height of the annular region , where m is the number of different height regions.

[0123] Step S2144, according to the annular greening degree correlation function Calculate the greening degree CL of the annular region, where m is the number of different height regions and n is the maximum number of different height regions.

[0124] In practical applications, the greening degree of the circular area is related to the area range of the vegetation on the one hand and the height of the vegetation on the other hand. When planting the same trees, the larger the area of the planted trees, the more dust will be blocked, so the dust blocking degree of the vegetation will be higher. For example, there are three types of vegetation in the first circular area, and the corresponding height levels are level 1, level 2, and level 3, with the corresponding vegetation dust blocking degrees of 5%, 10%, and 20%, and the planting areas are 5 square meters, 10 square meters, and 5 square meters respectively. Then the greening degree is 5×5% + 10×10% + 5×20% = 2.25.

[0125] Refer to Figure 6 , for the compression time period of compressed air energy storage, the step of obtaining the amount of human activities LR around the location of compressed air energy storage during the compression time period is specifically as follows:

[0126] Step S221, based on the location of compressed air energy storage, obtain the number of animals in different compression time periods within the range of the compressed air energy storage location , according to the number of animals in different compression time periods Obtain the animal activity amount in different compression time periods , where t is the number of different compression time periods.

[0127] The number of animals can be obtained by the mark - recapture method, and the animal activity amount is obtained according to the positive - correlation curve between the number of animals and the animal activity amount.

[0128] Step S222, based on the compression time period of compressed air energy storage, match to obtain the corresponding animal activity amount ED.

[0129] Step S223, based on the compression time period of compressed air energy storage, obtain the pedestrian activity amount ER within the compression time period of compressed air energy storage.

[0130] The pedestrian activity amount can be obtained from historical data.

[0131] Step S224, according to the human activity correlation function Calculate to obtain the human activity amount LR, where , is a scale factor and is greater than 0.

[0132] In practical applications, both animal activities and human activities can cause changes in air quality. In the absence of biological activities, most dust will sink due to its weight and accumulate on the ground. When there are biological activities, on the one hand, the organisms themselves will bring some impurities and dust from outside the area, and on the other hand, they will drive the dust in the area to float, resulting in poor air quality. Therefore, the greater the amount of human and animal activities, the worse the air quality. For example, if the compression time is at night, the amount of human and animal activities at night is reduced, and the air quality will be better, and the performance will be significantly better than when the compression time is during the day, because the amount of human and animal activities during the day is greater than that at night.

[0133] Refer to Figure 7 , based on the air quality change degree BH, set the air quality change degree threshold. When the air quality change degree BH reaches the air quality change degree threshold, the steps to adjust the energy storage position parameters are as follows:

[0134] Step S241, based on the air quality change degree BH, set the air quality change degree threshold. If the air quality change degree BH reaches the air quality change degree threshold, calculate the difference between the air quality change degree BH and the air quality change degree threshold and record it as the change difference.

[0135] Step S242, based on the change difference, analyze the change degree of air quality after restricting pedestrian activities and record it as the pedestrian change degree.

[0136] Step S243, based on the pedestrian change degree, if the pedestrian change degree is not less than the change difference, restrict pedestrian activities.

[0137] Step S244, if the pedestrian change degree is less than the change difference, analyze the air quality change degree after restricting animal activities and record it as the animal change degree.

[0138] Step S245, calculate the sum of the pedestrian change degree and the animal change degree and mark it as the human and animal change degree. If the human and animal change degree is not less than the change difference, restrict pedestrian activities and animal activities.

[0139] Step S246, if the human and animal change degree is less than the change difference, do not restrict pedestrian and animal activities, and increase the number of vegetation.

[0140] In practical applications, to achieve compressed air energy storage more efficiently, when the performance of compressed air energy storage is not ideal, certain parameters can be adjusted for optimization. For example, if the current air quality change degree is 120 and the set air quality change degree threshold is 100, the difference is 20. If pedestrian activities are controlled and the air quality changes by 30, which exceeds 20, then the requirement for the air quality change degree can be met by restricting pedestrian activities. If the air quality change due to controlling pedestrian activities is only 10, the requirement cannot be met. In this case, animal activities need to be further controlled to meet the requirement. If the requirement still cannot be met after controlling pedestrian and animal activities, the activities of pedestrians and animals are no longer restricted, and the number of vegetation needs to be increased to meet long-term development.

[0141] Refer to Figure 8 , the steps of obtaining the electricity demand during the peak electricity consumption period based on the final air quality AK and analyzing the matching degree AP between the released pressure and the electricity demand are as follows:

[0142] Step S41: Based on the final air quality AK, establish a positive correlation curve between the released pressure and the power generation amount under the final air quality AK, and analyze the power generation amount according to the positive correlation curve between the released pressure and the power generation amount under the final air quality AK.

[0143] Step S42: Obtain the electricity consumption during the peak electricity consumption period.

[0144] Step S43: Calculate the difference between the pressure power generation amount and the electricity consumption during the peak electricity consumption period and record it as the electricity consumption difference GX.

[0145] Step S44: Based on the electricity consumption difference, calculate the matching degree AP according to the matching degree correlation function , where 、 are scale factors, both greater than 0, and .

[0146] In practical applications, the released pressure also affects the power generation amount. Under the current air quality, analyze the power generation amount that can be generated by the set released pressure. When it can exactly meet the electricity demand, it is considered to meet the requirement and reduce the waste of resources, which is better in terms of performance for the usage scenario. For example, when the electricity consumption is 100 kW, the performance with a power generation amount of 120 kWh is better than that with a power generation amount of 80 kW, because 120 kW can meet the electricity demand while 80 kW cannot. And the performance with a power generation amount of 110 kWh is better than that with a power generation amount of 120 kWh because the generated redundancy is smaller and the wasted resources are less. The power generation amount can be adjusted by regulating the released pressure to reduce the waste of resources.

[0147] Refer to Figure 9, steps for obtaining the operating parameters of compressed air energy storage and analyzing the environmental friendliness AH based on the operating parameters of compressed air energy storage are as follows:

[0148] Step S51, obtain the initial noise and vibration ZD during the operation of the compressed air energy storage device.

[0149] Obtain the initial noise and vibration through a decibel meter and a vibration sensor.

[0150] Step S52, based on the circular region, match the noise impact degree corresponding to different circular regions according to the distance and mark it as , where i is the number of different circular regions.

[0151] Step S53, based on the greening degree of different circular regions , establish a positive correlation curve between the greening degree and the number of animals in different circular regions. According to the positive correlation curve between the greening degree and the number of animals in different circular regions , analyze the number of animals in different circular regions , where i is the number of different circular regions.

[0152] Step S54, calculate the environmental friendliness AH according to the environmental friendliness correlation function , where, 、 、 、are scale factors and less than 0, i is the number of different circular regions, and r is the maximum number of different circular regions.

[0153] In practical applications, compressed air energy storage itself will generate noise and vibration during operation, which will pollute the environment and result in low environmental friendliness of compressed air energy storage. At the same time, changing the greening degree can improve air quality, but the higher the greening degree, the more likely it is to attract various organisms such as insects and birds to move nearby, which will increase the surrounding noise, affect the equipment, and cause the environmental friendliness of the equipment to decline. In addition, the noise generated by animals will also directly affect the environmental situation.

[0154] A test and analysis system based on compressed air energy storage, by applying a test and analysis method based on compressed air energy storage as described above, includes a primary module, a change module, a quality module, a matching module, an environmental protection module, and a performance module.

[0155] The primary module obtains the compression environment of the compressed air energy storage and analyzes the air quality after compression according to the compression environment of the compressed air energy storage and records it as the primary air quality BZ.

[0156] The change module obtains the compressed air energy storage location based on the primary air quality, and analyzes the air quality change degree BH according to the compressed air energy storage location.

[0157] The quality module calculates the final air quality AK according to the air correlation function

[0158] The matching module obtains the electricity demand during the peak electricity consumption period based on the final air quality AK, and analyzes the matching degree AP between the release pressure and the electricity demand.

[0159] The environmental protection module obtains the operating parameters of the compressed air energy storage, and analyzes the environmental protection degree AH according to the operating parameters of the compressed air energy storage.

[0160] The performance module calculates the performance AX of the compressed air energy storage according to the performance correlation function 、 、 are scale factors and are greater than 0, and the performance AX of the compressed air energy storage is transmitted to the user side as the test result.

[0161] In actual application, the electronic module is used to test and analyze the compressed air energy storage according to the exact scenario, and obtain the performance of the compressed air energy storage. On the one hand, the performance of the compressed air energy storage is analyzed from a more objective perspective. On the other hand, analyzing the compressed air performance in the actual use scenario can be adjusted more precisely, optimizing the performance of the compressed air energy storage and making it more convenient.

[0162] The implementation principle of this system is as follows: First, the primary module obtains the compression environment of the compressed air energy storage, analyzes the air quality after compression according to temperature, humidity and wind speed, and records it as the primary air quality BZ. The change module obtains the compressed air energy storage location based on the primary air quality, sets a distance to form a circular diffusion circle according to the compressed air energy storage location, and divides the circular diffusion circle according to the influence degree on the compressed air energy storage to obtain multiple annular regions. Analyze the greening degree of the annular region according to the planting range and planting height of the vegetation in the annular region, and then combine the influence degree of the annular region on the compressed air energy storage to analyze the greening influence degree of the annular region. Add up the greening influence degrees of different annular regions to obtain the greening influence degree. Obtain the animal activity amount and pedestrian activity amount around the compressed air energy storage location, superimpose them to obtain the human activity amount, and finally comprehensively analyze to obtain the air quality change degree BH. The quality module calculates according to the air correlation function ​​The final air quality AK is calculated. Based on the final air quality AK, the matching module obtains the electricity demand during peak electricity consumption periods and analyzes to obtain the matching degree AP between the release pressure and the electricity demand. The closer the power generation is to the electricity consumption, the higher the matching degree. The environmental protection module obtains the initial noise and vibration of the compressed air energy storage and analyzes to obtain the environmental protection degree AH in combination with the noise generated by greening. Finally, the performance module calculates the compressed air energy storage performance AX according to the performance correlation function wherein, , , are scale factors and are greater than 0, and the compressed air energy storage performance AX is transmitted to the user side as the test result.

[0163] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A test and analysis method based on compressed air energy storage, characterized in that: The following steps are involved: Obtaining the compression environment of the compressed air energy storage, analyzing the compressed air quality according to the compression environment of the compressed air energy storage and recording it as the primary air quality BZ; Obtaining a compression time period of compressed air energy storage, and retrieving a compression environment of the compression time period of compressed air energy storage; The compression environment includes initial air quality BC and meteorological conditions; Based on the primary air quality, a compressed air energy storage position is obtained, and an air quality change degree BH is obtained according to the compressed air energy storage position analysis; Based on the compressed air energy storage location, obtaining a greening impact level LH ​​around the compressed air energy storage location; Based on the compressed air energy storage position, a circular diffusion circle is formed with the compressed air energy storage position as the center; Based on the circular diffusion ring, the ring is divided into at least two annular areas according to the distance and marked as annular areas; Based on the annular area, the degree of air compression energy storage corresponding to different annular areas is matched and marked as , where i is the number of different annular regions; Set the vegetation height range and match the corresponding vegetation height level, and match the corresponding vegetation occlusion dust degree according to the vegetation height level; Based on the annular area, the height of vegetation in the annular area is obtained, and different height areas are divided according to the height of vegetation in the annular area, and the vegetation planting areas in the different height areas are obtained. , where m is the number of different height areas; According to the vegetation height of the annular area, the corresponding vegetation occlusion dust degree is matched , where m is the number of different height areas; According to the correlation function of the degree of annular greening The greening degree CL of the annular area is calculated, where m is the number of the different height areas and n is the maximum number of the different height areas; Calculated based on the ring correlation function Get the total greening impact of different annular areas , where i is the number of different annular areas, and r is the maximum number of different annular areas; Based on the compression time period of the compressed air energy storage, the human activity LR around the compressed air energy storage position within the compression time period is obtained; According to the correlation function The air quality change degree BH is calculated, where: , is the scale factor and is greater than 0; Based on the air quality change degree BH, an air quality change degree threshold is set, and when the air quality change degree BH reaches the air quality change degree threshold, the energy storage position parameter is adjusted; According to the air correlation function The final air quality AK is calculated; Based on the final air quality AK, the electricity demand during the peak period is obtained, and the matching degree AP between the pressure release and the electricity demand is obtained by analysis; Based on the final air quality AK, a positive correlation curve between the release pressure and the power generation under the final air quality AK is established, and the power generation is obtained according to the analysis of the positive correlation curve between the release pressure and the power generation under the final air quality AK; Obtain electricity consumption during peak hours; Calculate the difference between the pressure power generation and the power consumption during the peak period and record it as the power consumption difference GX; Based on the power consumption difference, according to the matching correlation function The matching degree AP is calculated, where , is the scale factor, all greater than 0, and ; Obtain the operating parameters of the compressed air energy storage, and obtain the environmental protection degree AH according to the operating parameters of the compressed air energy storage; Obtaining the initial noise of compressed air energy storage equipment operation and vibration ZD; Based on the annular area, the noise impact degree corresponding to different annular areas is matched according to the distance and marked as , where i is the number of different annular regions; Based on the greening degree of the different annular areas , establish the greening degree of different ring areas Positive correlation curve with the number of animals, according to the greening degree of different ring areas The positive correlation curve analysis with the number of animals shows the number of animals in different annular areas , where i is the number of different annular regions; According to the environmental protection correlation function The environmental protection degree AH is calculated, where: , , is a scale factor and is less than 0, i is the number of different annular areas, and r is the maximum number of different annular areas; According to the performance correlation function The compressed air energy storage performance AX is calculated, where: , , It is a proportional factor and is greater than 0, and the compressed air energy storage performance AX is transmitted to the user as a test result.

2. A test and analysis method based on compressed air energy storage according to claim 1, characterized in that: The steps of obtaining the compression environment of the compressed air energy storage, analyzing the compressed air quality according to the compression environment of the compressed air energy storage and recording it as the primary air quality BZ are specifically as follows: The meteorological conditions include temperature BW, humidity BS and wind speed BF; According to the primary air quality correlation function The primary air quality BZ is calculated, where , , is the scaling factor and is greater than 0.

3. A test and analysis method based on compressed air energy storage according to claim 2, characterized in that: Based on the compression time period of the compressed air energy storage, the steps of obtaining the human activity amount LR around the compressed air energy storage position within the compression time period are specifically as follows: Based on the compressed air energy storage location, obtain the number of animals in different compression time periods within the compressed air energy storage location range , according to the number of animals in different compressed time periods Get the amount of animal activity at different compressed time periods , where t is the number of different compression time periods; Based on the compression time period of compressed air energy storage, the corresponding animal activity ED is matched; Based on the compression time period of the compressed air energy storage, obtaining the pedestrian activity amount ER within the compression time period of the compressed air energy storage; According to the character activity correlation function The character activity LR is calculated, where: , is the scaling factor and is greater than 0.

4. A test and analysis method based on compressed air energy storage according to claim 3, characterized in that: Based on the air quality change degree BH, an air quality change degree threshold is set, and when the air quality change degree BH reaches the air quality change degree threshold, the step of adjusting the energy storage position parameter is specifically as follows: Based on the air quality change degree BH, an air quality change degree threshold is set, and if the air quality change degree BH reaches the air quality change degree threshold, a difference between the air quality change degree BH and the air quality change degree threshold is calculated and recorded as a change difference; Based on the change difference, analyzing the degree of change in air quality after restricting pedestrian activities and recording it as a pedestrian change degree; Based on the pedestrian change degree, if the pedestrian change degree is not less than the change difference, restricting pedestrian activities; If the pedestrian change is less than the change difference, the air quality change after restricting animal activities is analyzed and recorded as the animal change; Calculate the sum of the pedestrian change degree and the animal change degree and mark it as the person change degree. If the person change degree is not less than the change difference, restrict pedestrian and animal activities. If the character change degree is less than the change difference, pedestrian and animal activities are not restricted and the amount of vegetation is increased.

5. A test and analysis system based on compressed air energy storage, characterized in that: By applying a test and analysis method based on compressed air energy storage as described in any one of claims 1 to 4, comprising a primary module, a change module, a quality module, a matching module, an environmental protection module and a performance module; The primary module obtains the compression environment of the compressed air energy storage, analyzes the compressed air quality according to the compression environment of the compressed air energy storage and records it as the primary air quality BZ; The change module obtains the compressed air energy storage position based on the primary air quality, and obtains the air quality change degree BH according to the compressed air energy storage position analysis; The mass module is based on the air correlation function The final air quality AK is calculated; The matching module obtains the electricity demand during the peak period based on the final air quality AK, and analyzes and obtains the matching degree AP between the release pressure and the electricity demand; The environmental protection module obtains the operating parameters of the compressed air energy storage, and obtains the environmental protection degree AH according to the operating parameters of the compressed air energy storage; The performance module is based on the performance association function The compressed air energy storage performance AX is calculated, where: , , It is a proportional factor and is greater than 0, and the compressed air energy storage performance AX is transmitted to the user as a test result.

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