Method and system for optimizing operation of multi-energy complementary large temperature difference heat exchange station

Abstract

The present application relates to heat exchange station technical field, especially in a kind of multi-energy complementary large temperature difference heat exchange station operation optimization method and system, comprising: the production operation data of heat exchange station is collected;Based on the energy efficiency characteristic parameter of heat exchange station determines the standard condition of energy utilization rate of heat exchange station, and according to the energy diversity characteristic parameter of heat exchange station determines the rationality of heat exchange station energy structure;Based on the temperature difference of water supply temperature and return water temperature determines the qualified nature of heat network efficiency of heat exchange station;Based on the ratio of temperature difference and preset temperature difference determines the adjustment mode of heat network efficiency of heat exchange station;Based on the comprehensive characteristic value result of climate environment data determines whether heat exchange station environmental adaptability is qualified, and according to the difference between preset comprehensive characteristic value and comprehensive characteristic value determines the correlation of main energy proportion of heat exchange station and heat exchange station environment climate;Based on the relative difference between comprehensive characteristic value and preset comprehensive characteristic value determines the optimization mode of heat exchange station, and the present application improves the operation efficiency of heat exchange station.

Description

Technical Field

[0001] This invention relates to the field of heat exchange station technology, and in particular to an optimization method and system for the operation of a multi-energy complementary heat exchange station with a large temperature difference. Background Technology

[0002] Heat exchange stations are an important component of centralized heating systems. They exchange heat through a heat medium in the equipment and then transfer the heated or cooled heat medium to users, achieving effective heat transfer and distribution. Their operating efficiency directly affects the energy consumption and heating effect of the entire heating system. Traditional heat exchange stations often use a single energy source for heating, resulting in problems such as low energy utilization efficiency and high heating costs. In contrast, multi-energy complementary large temperature difference heat exchange stations combine multiple energy sources to achieve efficient and energy-saving heating.

[0003] Chinese Patent Application Publication No. CN117114179A discloses a method and apparatus for collaborative optimization scheduling of heat exchange stations and buildings in a heating system. The method includes: obtaining historical feature data corresponding to various heat load characteristics affecting the heating effect of buildings; performing principal component analysis based on the historical feature data corresponding to various heat load characteristics to determine the principal features among the various heat load characteristics; constructing a heat load demand model using the historical feature data corresponding to the principal features and the historical heating data of the buildings; wherein the heat load demand model takes the feature data corresponding to the principal features as input and the heating data as output; processing the feature data of the principal features of the target building according to the heat load demand model to obtain the target flow of the target building; and controlling the opening degree of the valves corresponding to the target building in the secondary pipeline network based on the target flow.

[0004] However, the existing technology has the following problems: the existing technology usually realizes the scheduling of heat exchange stations by establishing mathematical models, but the multi-energy structure of heat exchange stations is not analyzed and optimized, which leads to the failure to achieve energy saving and emission reduction of heat exchange stations, resulting in low operating efficiency of heat exchange stations. Summary of the Invention

[0005] Therefore, this invention provides an optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station, which overcomes the problem in the prior art that the multi-energy structure of the heat exchange station has not been analyzed and optimized, resulting in the failure to achieve energy conservation and emission reduction, and thus the low operating efficiency of the heat exchange station.

[0006] To achieve the above objectives, the present invention provides an optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station, comprising:

[0007] Collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and energy supply power data;

[0008] The energy efficiency of the heat exchange station is determined based on its energy efficiency characterization parameters, and the rationality of its energy structure is determined based on its energy diversity characterization parameters.

[0009] The qualification of the heat exchange station's heating network efficiency is determined based on the temperature difference between the supply water temperature and the return water temperature.

[0010] The ratio of the temperature difference to the preset temperature difference determines whether to increase the heat exchange station's supply water temperature by a preset supply water temperature adjustment coefficient or to increase the heat exchange station's return water temperature by a preset return water temperature adjustment coefficient.

[0011] When determining the collection of climate and environmental data, the environmental adaptability of the heat exchange station is determined based on the comprehensive characterization value of the climate and environmental data. The difference between the preset comprehensive characterization value and the comprehensive characterization value is used to determine whether the proportion of the main energy of the heat exchange station is negatively or positively correlated with the environmental climate of the heat exchange station.

[0012] The proportion of main energy sources in the heat exchange station is increased based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value.

[0013] Based on whether the current thermoelectric compensation capacity trend of the heat exchange station based on the associated energy source conforms to the current heat exchange demand of the heating network, it is determined whether to increase the power supply of non-clean energy or increase the power supply of clean energy of the heat exchange station.

[0014] Furthermore, based on the comparison results of the energy efficiency characterization parameters of the heat exchange station being less than the energy efficiency characterization parameter threshold, it is determined that the energy utilization rate of the heat exchange station is not up to standard, and based on the comparison results of the energy diversity characterization parameters of the heat exchange station being less than or equal to the preset energy diversity characterization parameters, it is determined that the energy structure of the heat exchange station is unreasonable.

[0015] Furthermore, assuming the energy structure of the heat exchange station is reasonable, the heat exchange station's heat network efficiency is deemed unqualified based on the comparison result that the temperature difference between the supply water temperature and the return water temperature is less than or equal to the preset temperature difference. Based on the comparison result that the ratio of the temperature difference to the preset temperature difference is less than or equal to the preset ratio, the heat exchange station's supply water temperature is increased by the preset supply water temperature adjustment coefficient.

[0016] Furthermore, based on the comparison result that the ratio of the temperature difference to the preset temperature difference is greater than the preset ratio, the preset return water temperature adjustment coefficient is used to increase the return water temperature of the heat exchange station.

[0017] Furthermore, under the condition of collecting climate and environmental data, the environmental adaptability of the heat exchange station is determined to be qualified based on the comparison result that the comprehensive characterization value of the climate and environmental data is less than or equal to the preset comprehensive characterization value. And based on the comparison result that the difference between the preset comprehensive characterization value and the comprehensive characterization value is less than or equal to the preset difference, it is determined that the proportion of the main energy of the heat exchange station is negatively correlated with the climate environment of the heat exchange station.

[0018] Furthermore, based on the comparison results of the preset comprehensive characterization value and the difference between the preset comprehensive characterization value and the value greater than the preset difference, it is determined that the proportion of the main energy of the heat exchange station is positively correlated with the environmental climate of the heat exchange station.

[0019] Furthermore, under the condition of collecting climate and environmental data, the environmental adaptability of the heat exchange station is determined to be unqualified based on the comparison result of the comprehensive characterization value of the climate and environmental data being greater than the preset comprehensive characterization value. Based on the comparison result of the relative difference between the comprehensive characterization value and the preset comprehensive characterization value and the preset relative difference, the proportion of the main energy of the heat exchange station is increased by the first preset main energy adjustment coefficient or the second preset main energy adjustment coefficient.

[0020] Furthermore, given that the current thermoelectric compensation capacity trend of heat exchange stations based on related energy sources cannot be coupled with the current heat exchange demand of the heating network, the power supply of non-clean energy sources for heat exchange stations should be increased.

[0021] Furthermore, given that the current thermoelectric compensation capacity trend of the heat exchange station based on associated energy sources meets the current heat exchange demand of the heating network, the power supply capacity of clean energy sources for the heat exchange station should be increased.

[0022] On the other hand, the present invention also provides an optimized system for the operation of a multi-energy complementary large temperature difference heat exchange station, comprising:

[0023] The data acquisition module is used to collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and power supply data.

[0024] The data analysis module, which is connected to the data acquisition module, is used to determine the compliance status of the energy utilization rate of the heat exchange station based on the energy efficiency characterization parameters of the heat exchange station, and to determine the rationality of the energy structure of the heat exchange station based on the energy diversity characterization parameters of the heat exchange station.

[0025] A data processing module, which is connected to the data analysis module, is used to determine the qualification of the heat exchange station's heating network efficiency based on the temperature difference between the supply water temperature and the return water temperature.

[0026] A data adjustment module, which is connected to the data processing module, is used to determine the adjustment method of the heat exchange station's heating network efficiency based on the ratio of the temperature difference to the preset temperature difference.

[0027] The climate analysis module, which is connected to the data acquisition module, is used to determine whether the environmental adaptability of the heat exchange station is qualified based on the comprehensive characterization value of the climate environmental data, and to determine the correlation between the proportion of the main energy of the heat exchange station and the environmental climate of the heat exchange station based on the difference between the preset comprehensive characterization value and the comprehensive characterization value.

[0028] The data optimization module, which is connected to the climate analysis module, is used to determine the optimization method of the heat exchange station based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value.

[0029] An energy compensation module, connected to the data acquisition module and the data optimization module, is used to determine whether to increase the power supply of non-clean energy or increase the power supply of clean energy at the heat exchange station based on whether the current thermoelectric compensation capacity trend of the associated energy heat exchange station meets the current heat exchange demand of the heating network.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention collects production and operation data of the heat exchange station, then evaluates the energy utilization rate and structural rationality, then judges the qualification of the heating network efficiency, and adjusts the supply water temperature or return water temperature when the heating network efficiency is unqualified, then evaluates the environmental adaptability and adjusts the energy structure, and finally adjusts the main energy for cases where the environmental adaptability is unqualified. The present invention comprehensively evaluates the energy efficiency, heating network efficiency and environmental adaptability of the heat exchange station, ensuring the efficient and stable operation of the heat exchange station. It can also adjust the energy structure according to environmental changes, thereby improving energy utilization efficiency and reducing unnecessary energy consumption, thereby improving the operating efficiency of the heat exchange station.

[0031] Furthermore, this invention determines whether the energy utilization rate meets the standard by comparing the energy efficiency characterization parameters of the heat exchange station with the energy efficiency characterization parameter threshold. If the standard is met, the invention further compares the energy diversity characterization parameters with the preset energy diversity characterization parameters to evaluate the rationality of the energy structure of the heat exchange station, promotes the adoption of more diversified energy sources in the heat exchange station, improves the stability and sustainability of energy supply, and reduces dependence on a single energy source.

[0032] Furthermore, this invention determines whether the heating network efficiency is qualified by comparing the temperature difference between the supply water temperature and the return water temperature with a preset temperature difference. If the efficiency is not qualified, the supply water temperature or the return water temperature is adjusted to improve the heating network efficiency. Temperature control and heating network efficiency adjustment improve the energy saving and emission reduction speed of the heat exchange station and improve the efficient utilization of energy in the heat exchange station.

[0033] Furthermore, this invention determines the environmental adaptability of a heat exchange station by comparing the comprehensive characterization value of climate and environmental data with a preset comprehensive characterization value. If the conditions are met, it further determines the correlation between the proportion of the main energy source of the heat exchange station and the environmental climate by comparing the difference between the comprehensive characterization value and the preset value with a preset difference value. This enables rapid assessment of the environmental adaptability of the heat exchange station, thereby adjusting the energy structure, optimizing the operation of the heat exchange station, improving the energy efficiency and environmental adaptability of the heat exchange station, providing effective support for energy conservation and emission reduction, and thus improving the operating efficiency of the heat exchange station.

[0034] Furthermore, this invention increases the main energy supply of the heat exchange station by comparing the relative difference between the comprehensive characterization value and the preset comprehensive characterization value with the preset relative difference, adjusts the energy supply of the heat exchange station, enhances its adaptability to environmental changes, improves the effective utilization of energy, and thus improves the operating efficiency of the heat exchange station.

[0035] Furthermore, by matching the current thermoelectric compensation capacity trend of the heat exchange station with the heat exchange demand of the heating network, the present invention adjusts the power supply of clean energy and non-clean energy, effectively improving the energy utilization efficiency of the heat exchange station, ensuring that the heat exchange demand of the heating network is met, and promoting the optimization of the energy structure by adjusting the proportion of clean energy and non-clean energy used. Attached Figure Description

[0036] Figure 1 This is a flowchart illustrating the optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of the optimized system for the operation of a multi-energy complementary large temperature difference heat exchange station according to an embodiment of the present invention;

[0038] Figure 3 This is a flowchart illustrating the process of determining the rationality of the energy structure of a heat exchange station according to an embodiment of the present invention.

[0039] Figure 4 This is a flowchart for determining the qualification of the heat exchange station's heating network efficiency in an embodiment of the present invention. Detailed Implementation

[0040] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0041] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0042] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical test data and corresponding historical test results from the three months prior to this test. Those skilled in the art will understand that the determination of the above-mentioned parameters for any single item in this invention can be achieved by selecting the value with the highest percentage based on the data distribution as the preset standard parameter, using weighted summation to obtain the value as the preset standard parameter, substituting each historical data point into a specific formula and using the value obtained from that formula as the preset standard parameter, or other selection methods, as long as the invention can clearly define different specific situations in the single-item judgment process through the obtained values.

[0043] Please see Figures 1-4 As shown, Figure 1 This is a flowchart illustrating the optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the optimized system for the operation of a multi-energy complementary large temperature difference heat exchange station according to an embodiment of the present invention; Figure 3 This is a flowchart illustrating the process of determining the rationality of the energy structure of a heat exchange station according to an embodiment of the present invention. Figure 4 This is a flowchart for determining the qualification of the heat exchange station's heating network efficiency in an embodiment of the present invention.

[0044] The present invention provides an optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station, comprising:

[0045] Step S1: Collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and power supply data.

[0046] Step S2: Determine the compliance status of the energy utilization rate of the heat exchange station based on the energy efficiency characterization parameters of the heat exchange station, and determine the rationality of the energy structure of the heat exchange station based on the energy diversity characterization parameters of the heat exchange station.

[0047] Step S3: Determine the qualification of the heat exchange station's heating network efficiency based on the temperature difference between the supply water temperature and the return water temperature;

[0048] Step S4: Based on the ratio of the temperature difference to the preset temperature difference, determine whether to increase the heat exchange station's supply water temperature by a preset supply water temperature adjustment coefficient or to increase the heat exchange station's return water temperature by a preset return water temperature adjustment coefficient.

[0049] Step S5: When determining the collection of climate and environmental data, the environmental adaptability of the heat exchange station is determined based on the comprehensive characterization value of the climate and environmental data. The difference between the preset comprehensive characterization value and the comprehensive characterization value is used to determine whether the proportion of the main energy of the heat exchange station is negatively or positively correlated with the environmental climate of the heat exchange station.

[0050] Step S6: Determine the increase in the proportion of main energy sources in the heat exchange station based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value;

[0051] Step S7: Determine whether to schedule the energy of the heat exchange station in conjunction with the current heat and power compensation capacity trend of the associated energy heat exchange station based on the current heat exchange demand of the heating network.

[0052] In this embodiment of the invention, the energy type data includes, but is not limited to, solar energy data, natural gas data, and electricity data, wherein the electricity data is data generated by fossil fuels.

[0053] In this embodiment of the invention, the heating network operation data includes, but is not limited to, input energy, output energy, supply water temperature data, and return water temperature data.

[0054] In this embodiment of the invention, the climate and environmental data includes, but is not limited to, temperature data, humidity data, and wind data.

[0055] In this embodiment of the invention, the power supply data is the total energy supplied by several heat exchange devices in the heat exchange station. The power supply includes clean energy power supply and non-clean energy power supply. The clean energy is solar energy and natural gas energy, and the non-clean energy is electrical energy.

[0056] In this embodiment of the invention, the production operation data is collected within a collection period, which is the time during the heating season when data is collected.

[0057] On the other hand, the present invention also provides an optimized system for the operation of a multi-energy complementary large temperature difference heat exchange station, comprising:

[0058] The data acquisition module is used to collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and power supply data.

[0059] The data analysis module, which is connected to the data acquisition module, is used to determine the compliance status of the energy utilization rate of the heat exchange station based on the energy efficiency characterization parameters of the heat exchange station, and to determine the rationality of the energy structure of the heat exchange station based on the energy diversity characterization parameters of the heat exchange station.

[0060] A data processing module, which is connected to the data analysis module, is used to determine the qualification of the heat exchange station's heating network efficiency based on the temperature difference between the supply water temperature and the return water temperature.

[0061] A data adjustment module, which is connected to the data processing module, is used to determine the adjustment method of the heat exchange station's heating network efficiency based on the ratio of the temperature difference to the preset temperature difference.

[0062] The climate analysis module, which is connected to the data acquisition module, is used to determine whether the environmental adaptability of the heat exchange station is qualified based on the comprehensive characterization value of the climate environmental data, and to determine the correlation between the proportion of the main energy of the heat exchange station and the environmental climate of the heat exchange station based on the difference between the preset comprehensive characterization value and the comprehensive characterization value.

[0063] The data optimization module, which is connected to the climate analysis module, is used to determine the optimization method of the heat exchange station based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value.

[0064] An energy compensation module, connected to the data acquisition module and the data optimization module, is used to determine whether to increase the power supply of non-clean energy or increase the power supply of clean energy at the heat exchange station based on whether the current thermoelectric compensation capacity trend of the associated energy heat exchange station meets the current heat exchange demand of the heating network.

[0065] Specifically, this invention collects production and operation data of heat exchange stations, then evaluates energy utilization and structural rationality, determines the qualification of heating network efficiency, and adjusts the supply or return water temperature when the heating network efficiency is unqualified. It then evaluates environmental adaptability and adjusts the energy structure, and finally adjusts the main energy sources for cases where environmental adaptability is unqualified. This comprehensive evaluation of the heat exchange station's energy efficiency, heating network efficiency, and environmental adaptability ensures the efficient and stable operation of the heat exchange station. It can also adjust the energy structure according to environmental changes, thereby improving energy utilization efficiency and reducing unnecessary energy consumption, thus improving the operating efficiency of the heat exchange station.

[0066] Specifically, in this embodiment of the invention, the energy utilization rate of the heat exchange station is determined based on the comparison between the energy efficiency characterization parameter of the heat exchange station and the energy efficiency characterization parameter threshold of 0.86.

[0067] When the energy efficiency characterization parameter is less than the energy efficiency characterization parameter threshold, it is determined that the energy utilization rate of the heat exchange station is substandard.

[0068] When the energy efficiency characterization parameter is greater than or equal to the energy efficiency characterization parameter threshold, the energy utilization rate of the heat exchange station is determined to meet the standard.

[0069] In this embodiment of the invention, the threshold value of the energy efficiency characterization parameter is 0.86. The threshold value of the energy efficiency characterization parameter is obtained by averaging the energy efficiency characterization parameters of several heat exchange stations that have met the energy utilization standards in the past. However, the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0070] Specifically, embodiments of the present invention calculate the energy efficiency characterization parameters according to the following formula, and set them as follows:

[0071]

[0072] Where P represents the energy efficiency characterization parameter, m is the number of time periods for energy collection within the collection cycle, and E j Let E be the output energy in the j-th time interval. j0 Let be the input energy for the j-th time period.

[0073] Specifically, in the case where the energy utilization rate of the heat exchange station is determined to be substandard, the rationality of the energy structure of the heat exchange station is determined based on the comparison result between the energy diversity characterization parameter of the heat exchange station and the preset energy diversity characterization parameter 0.89.

[0074] When the energy diversity characterization parameter is less than or equal to the preset energy diversity characterization parameter, the energy structure of the heat exchange station is determined to be unreasonable.

[0075] When the energy diversity characterization parameter is greater than the preset energy diversity characterization parameter, the energy structure of the heat exchange station is determined to be reasonable.

[0076] In this embodiment of the invention, the preset energy diversity characterization parameter is set to 0.89. The preset energy diversity characterization parameter is obtained by averaging the energy diversity characterization parameters of several historical heat exchange stations with reasonable energy structures. However, the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0077] Specifically, embodiments of the present invention calculate the energy diversity characterization parameters according to the following formula, and set:

[0078]

[0079] Where Q represents the energy diversity parameter, n is the number of energy types used by the heat exchange station, including but not limited to solar energy, natural gas energy, and electric energy, and p i Let represent the proportion of the i-th energy source in the total energy consumption of the heat exchange station.

[0080] Specifically, this invention determines whether the energy utilization rate meets the standard by comparing the energy efficiency characterization parameters of the heat exchange station with the energy efficiency characterization parameter threshold. Furthermore, if the standard is met, it compares the energy diversity characterization parameters with the preset energy diversity characterization parameters to evaluate the rationality of the energy structure of the heat exchange station, promotes the adoption of more diversified energy sources in the heat exchange station, improves the stability and sustainability of energy supply, and reduces dependence on a single energy source.

[0081] Specifically, in the case where the energy structure of the heat exchange station is determined to be unreasonable, the qualifiedness of the heat exchange station's heat network efficiency is determined based on the comparison between the temperature difference between the supply water temperature and the return water temperature and the preset temperature difference of 40°C.

[0082] When the temperature difference is less than or equal to the preset temperature difference, the heat exchange station's heating network efficiency is determined to be unqualified.

[0083] When the temperature difference is greater than the preset temperature difference, the heat exchange station's heating network efficiency is determined to be qualified.

[0084] In this embodiment of the invention, the preset temperature difference is 40°C. The preset temperature difference is obtained by averaging the temperature differences of several historical heat exchange stations with qualified heating network efficiency. However, the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0085] Specifically, the temperature difference is the difference between the supply water temperature and the return water temperature of the heat exchange station.

[0086] In this embodiment of the invention, the supply water temperature is the temperature of the hot water heated by the heat exchange station before it is delivered to the heating network, and the return water temperature is the temperature of the hot water returned to the heat exchange station after use by the heating network.

[0087] Specifically, in this embodiment of the invention, when it is determined that the efficiency of the heat exchange station's heat network is unqualified, the adjustment method for the efficiency of the heat exchange station's heat network is determined based on the comparison result of the ratio of the temperature difference to the preset temperature difference and the preset ratio of 0.55.

[0088] When the ratio is less than or equal to the preset ratio, the water supply temperature of the heat exchange station is increased to the corresponding value by a preset water supply temperature adjustment coefficient of 1.10.

[0089] When the ratio is greater than the preset ratio, it is determined that the return water temperature of the heat exchange station will be increased to the corresponding value by a preset return water temperature adjustment coefficient of 1.30.

[0090] The ratio is the ratio of the temperature difference to the preset temperature difference.

[0091] In this embodiment of the invention, the preset ratio is 0.55, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0092] In this embodiment of the invention, the increased water supply temperature is the product of the water supply temperature and the preset water supply temperature adjustment coefficient of 1.10, and the increased return water temperature is the product of the return water temperature and the preset return water temperature adjustment coefficient of 1.30.

[0093] In this embodiment of the invention, the water supply temperature is controlled by a water supply valve, and the return water temperature is controlled by a return water valve.

[0094] Specifically, this invention determines whether the heating network efficiency is qualified by comparing the temperature difference between the supply water temperature and the return water temperature with a preset temperature difference. If the efficiency is not qualified, the supply water temperature or the return water temperature is adjusted to improve the heating network efficiency. Temperature control and heating network efficiency adjustment improve the energy saving and emission reduction speed of the heat exchange station and improve the efficient utilization of energy in the heat exchange station.

[0095] Specifically, in this embodiment of the invention, under the condition of collecting climate and environmental data, the environmental adaptability of the heat exchange station is determined to be qualified based on the comparison result of the comprehensive characterization value of the climate and environmental data with the preset comprehensive characterization value of 0.76.

[0096] When the comprehensive characterization value is less than or equal to the preset comprehensive characterization value, the environmental adaptability of the heat exchange station is determined to be qualified.

[0097] When the comprehensive characterization value is greater than the preset comprehensive characterization value, the environmental adaptability of the heat exchange station is determined to be unqualified.

[0098] In this embodiment of the invention, the preset comprehensive characterization value is 0.76. The preset comprehensive characterization value is obtained by averaging the comprehensive characterization values ​​of several historical heat exchange stations that have passed environmental adaptability tests. However, the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0099] Specifically, embodiments of the present invention calculate the comprehensive characterization value according to the following formula, and set:

[0100]

[0101] Where D represents the comprehensive characterization value, T is the average value of the temperature data. max T represents the maximum value of the temperature data. min This represents the minimum temperature value. H represents the average value of the humidity data. max H represents the maximum value of the humidity data. min This represents the minimum humidity value. W is the average value of the wind force data. max W represents the maximum value of the wind force data. min This represents the minimum value of the wind force data.

[0102] Specifically, in this embodiment of the invention, when the environmental adaptability of the heat exchange station is determined to be qualified, the correlation between the different energy proportions of the heat exchange station and the environmental climate of the heat exchange station is determined based on the comparison result of the difference between the preset comprehensive characterization value and the preset difference.

[0103] When the difference is less than or equal to the preset difference, it is determined that the proportion of the main energy source of the heat exchange station is negatively correlated with the environmental climate of the heat exchange station.

[0104] When the difference is greater than the preset difference, it is determined that the proportion of the main energy source in the heat exchange station is positively correlated with the environmental climate of the heat exchange station.

[0105] The difference is the difference between the preset comprehensive characterization value and the comprehensive characterization value.

[0106] In this embodiment of the invention, the preset difference value is 0.59, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0107] In this embodiment of the invention, the main energy source of the heat exchange station is natural gas, and the main energy source accounts for more than 80% of the total energy of the heat exchange station.

[0108] In this embodiment of the invention, the positive correlation means that under favorable environmental and climatic conditions, the higher the proportion of natural gas energy, the higher the operating efficiency of the heat exchange station and the stronger its environmental adaptability; the negative correlation means that under unfavorable environmental and climatic conditions, the higher the proportion of natural gas energy, the lower the operating efficiency of the heat exchange station and the weaker its environmental adaptability.

[0109] Specifically, this invention determines the environmental adaptability of a heat exchange station by comparing the comprehensive characterization value of climate and environmental data with a preset comprehensive characterization value. If the value is qualified, it further determines the correlation between the proportion of the main energy source of the heat exchange station and the environmental climate by comparing the difference between the comprehensive characterization value and the preset value with a preset difference value. This enables rapid assessment of the environmental adaptability of the heat exchange station, thereby adjusting the energy structure, optimizing the operation of the heat exchange station, improving the energy efficiency and environmental adaptability of the heat exchange station, providing effective support for energy conservation and emission reduction, and thus improving the operating efficiency of the heat exchange station.

[0110] Specifically, in the case where the environmental adaptability of the heat exchange station is determined to be unqualified, the optimization method of the heat exchange station is determined based on the comparison result of the relative difference between the comprehensive characterization value and the preset comprehensive characterization value and the preset relative difference of 0.35.

[0111] When the relative difference is less than or equal to the preset relative difference, it is determined that the proportion of the main energy of the heat exchange station will be increased to the corresponding value by using the first preset main energy adjustment coefficient of 1.02.

[0112] When the relative difference is greater than the preset relative difference, it is determined that the proportion of the main energy in the heat exchange station will be increased to the corresponding value by using the second preset main energy adjustment coefficient of 1.05.

[0113] The relative difference is the relative difference between the comprehensive characterization value and the preset comprehensive characterization value.

[0114] In this embodiment of the invention, the preset relative difference value is 0.35, but the above value is not limited to this, and those skilled in the art can adjust the value according to actual needs.

[0115] In this embodiment of the invention, the increased proportion of the main energy source is the product of the proportion of the main energy source of the heat exchange station and the k-th preset main energy source adjustment coefficient, where k is 1 or 2, L1 is the first preset main energy source adjustment coefficient of 1.02, and L2 is the second preset main energy source adjustment coefficient of 1.05.

[0116] Specifically, this invention increases the main energy supply of the heat exchange station by comparing the relative difference between the comprehensive characterization value and the preset comprehensive characterization value with the preset relative difference, thereby adjusting the energy supply of the heat exchange station, enhancing its adaptability to environmental changes, improving the effective utilization of energy, and thus improving the operating efficiency of the heat exchange station.

[0117] Specifically, in this embodiment of the invention, under the condition of optimizing the heat exchange station, the energy of the heat exchange station is adjusted according to whether the current thermoelectric compensation capacity trend of the associated energy heat exchange station meets the heat exchange demand of the current heating network.

[0118] When the current thermoelectric compensation capacity trend of the heat exchange station of the associated energy source cannot match the current heat exchange demand of the heating network, increase the power supply of non-clean energy sources of the heat exchange station.

[0119] When the current thermoelectric compensation capacity trend of the heat exchange station of the associated energy source meets the heat exchange demand of the current heating network, the power supply of clean energy to the heat exchange station should be increased.

[0120] In this embodiment of the invention, the current thermoelectric compensation capability trend is the trend of the current thermoelectric compensation capability approaching the preset thermoelectric compensation capability. The preset thermoelectric compensation capability is the compensation capability value under ideal conditions that is preset in advance during the design and planning stage of the heat exchange station thermoelectric system, based on the system's operational requirements and objectives.

[0121] In this embodiment of the invention, non-clean energy is electrical energy, and clean energy is solar energy and natural gas energy.

[0122] In this embodiment of the invention, the condition for increasing the power supply of non-clean energy in the heat exchange station is the balance between power and energy consumption. That is, through statistical methods, the time during which the temperature is lower than a preset node value each day within a week is defined as a high energy consumption zone, and the time during which the temperature is higher than the preset node value is defined as a low energy consumption zone. The preset node value is 10°C. The compensation coefficient of the power supply of non-clean energy is determined by the ratio of the high energy consumption zone to the low energy consumption zone. The increased power supply of non-clean energy is the product of the compensation coefficient and the power supply of non-clean energy.

[0123] In this embodiment of the invention, the added clean energy supply power is the product of the dispatch coefficient and the clean energy supply power, wherein the dispatch coefficient is the ratio of the relative difference between the comprehensive characterization value and the preset comprehensive characterization value to the preset relative difference.

[0124] Specifically, this invention adjusts the power supply of clean and non-clean energy by matching the current thermoelectric compensation capacity trend of the heat exchange station with the heat exchange demand of the heating network. This effectively improves the energy utilization efficiency of the heat exchange station, ensures that the heat exchange demand of the heating network is met, and promotes the optimization of the energy structure by adjusting the proportion of clean and non-clean energy used.

[0125] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0126] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station, characterized in that, include: Collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and energy supply power data; The energy efficiency of the heat exchange station is determined based on its energy efficiency characterization parameters, and the rationality of its energy structure is determined based on its energy diversity characterization parameters. The qualification of the heat exchange station's heating network efficiency is determined based on the temperature difference between the supply water temperature and the return water temperature. The ratio of the temperature difference to the preset temperature difference determines whether to increase the heat exchange station's supply water temperature by a preset supply water temperature adjustment coefficient or to increase the heat exchange station's return water temperature by a preset return water temperature adjustment coefficient. The heat exchange station's heating network efficiency is deemed unqualified based on the comparison result that the temperature difference between the supply water temperature and the return water temperature is less than or equal to the preset temperature difference value. The heat exchange station's supply water temperature is increased by a preset supply water temperature adjustment coefficient based on the comparison result that the temperature difference is less than or equal to the preset temperature difference value. Alternatively, the heat exchange station's return water temperature is increased by a preset return water temperature adjustment coefficient based on the comparison result that the temperature difference is greater than the preset temperature difference value. When determining the collection of climate and environmental data, the environmental adaptability of the heat exchange station is determined based on the comprehensive characterization value of the climate and environmental data. The difference between the preset comprehensive characterization value and the comprehensive characterization value is used to determine whether the proportion of the main energy of the heat exchange station is negatively or positively correlated with the environmental climate of the heat exchange station. When the comprehensive characterization value is less than or equal to the preset comprehensive characterization value, the environmental adaptability of the heat exchange station is determined to be qualified. When the comprehensive characterization value is greater than the preset comprehensive characterization value, the environmental adaptability of the heat exchange station is determined to be unqualified. The proportion of main energy sources in the heat exchange station is determined based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value. Under the condition of collecting climate and environmental data, the environmental adaptability of the heat exchange station is determined to be unqualified based on the comparison result of the comprehensive characterization value of the climate and environmental data being greater than the preset comprehensive characterization value. Based on the comparison result of the relative difference between the comprehensive characterization value and the preset comprehensive characterization value and the preset relative difference, the proportion of the main energy of the heat exchange station is increased by the first preset main energy adjustment coefficient or the second preset main energy adjustment coefficient. Based on whether the current heat and power compensation capacity trend of the heat exchange station based on the associated energy source conforms to the current heat exchange demand of the heating network, it is necessary to determine whether to increase the power supply of non-clean energy sources or increase the power supply of clean energy sources at the heat exchange station. Given that the current thermal power compensation capacity trend of the heat exchange station based on related energy sources cannot be coupled with the current heat exchange demand of the heating network, the power supply of non-clean energy sources to the heat exchange station is increased. The condition for increasing the power supply of non-clean energy sources to the heat exchange station is the balance between power and energy consumption. That is, through statistical methods, the time period of each day within a week when the temperature is lower than a preset node value is defined as the high energy consumption zone, and the time period when the temperature is higher than the preset node value is defined as the low energy consumption zone. The preset node value is set to 10℃. The compensation coefficient of the power supply of non-clean energy sources is determined by the ratio of the high energy consumption zone to the low energy consumption zone. The increased power supply of non-clean energy sources is the product of the compensation coefficient and the power supply of non-clean energy sources. Under the condition that the current thermoelectric compensation capacity trend of the heat exchange station based on the associated energy meets the current heat exchange demand of the heating network, the power supply of clean energy in the heat exchange station is increased. The increased power supply of clean energy is the product of the scheduling coefficient and the power supply of clean energy. The scheduling coefficient is the ratio of the relative difference between the comprehensive characterization value and the preset comprehensive characterization value to the preset relative difference.

2. The optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to claim 1, characterized in that, Based on the comparison results of the energy efficiency characterization parameters of the heat exchange station being less than the energy efficiency characterization parameter threshold, it is determined that the energy utilization rate of the heat exchange station is not up to standard. Furthermore, based on the comparison results of the energy diversity characterization parameters of the heat exchange station being less than or equal to the preset energy diversity characterization parameters, it is determined that the energy structure of the heat exchange station is unreasonable.

3. The optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to claim 1, characterized in that, Under the condition of collecting climate and environmental data, the environmental adaptability of the heat exchange station is determined to be qualified based on the comparison result that the comprehensive characterization value of the climate and environmental data is less than or equal to the preset comprehensive characterization value. Furthermore, based on the comparison result that the difference between the preset comprehensive characterization value and the comprehensive characterization value is less than or equal to the preset difference, it is determined that the proportion of the main energy of the heat exchange station is negatively correlated with the climate environment of the heat exchange station.

4. The optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to claim 3, characterized in that, Based on the comparison results of the preset comprehensive characterization value and the difference between the preset comprehensive characterization value and the value greater than the preset difference, it is determined that the proportion of the main energy of the heat exchange station is positively correlated with the environmental climate of the heat exchange station.

5. A system applying the optimization method for the operation of a multi-energy complementary large temperature difference heat exchange station according to any one of claims 1-4, characterized in that, include: The data acquisition module is used to collect production and operation data of the heat exchange station, including energy type data, heating network operation data, climate environment data, and power supply data. The data analysis module, which is connected to the data acquisition module, is used to determine the compliance status of the energy utilization rate of the heat exchange station based on the energy efficiency characterization parameters of the heat exchange station, and to determine the rationality of the energy structure of the heat exchange station based on the energy diversity characterization parameters of the heat exchange station. A data processing module, which is connected to the data analysis module, is used to determine the qualification of the heat exchange station's heating network efficiency based on the temperature difference between the supply water temperature and the return water temperature. A data adjustment module, which is connected to the data processing module, is used to determine the adjustment method of the heat exchange station's heating network efficiency based on the ratio of the temperature difference to the preset temperature difference. The climate analysis module, which is connected to the data acquisition module, is used to determine whether the environmental adaptability of the heat exchange station is qualified based on the comprehensive characterization value of the climate environmental data, and to determine the correlation between the proportion of the main energy of the heat exchange station and the environmental climate of the heat exchange station based on the difference between the preset comprehensive characterization value and the comprehensive characterization value. The data optimization module, which is connected to the climate analysis module, is used to determine the optimization method of the heat exchange station based on the relative difference between the comprehensive characterization value and the preset comprehensive characterization value. An energy compensation module, connected to the data acquisition module and the data optimization module, is used to determine whether to increase the power supply of non-clean energy or increase the power supply of clean energy at the heat exchange station based on whether the current thermoelectric compensation capacity trend of the associated energy heat exchange station meets the current heat exchange demand of the heating network.

Images