Method for realizing heat balance of pipe network based on heat supply power regulation and control of unit heat utilization area

Abstract

The invention discloses a method for realizing heat balance of a pipe network based on heat supply power regulation and control of a unit heat consumption area, which comprises the following steps of: defining unit consumption as instantaneous heat power of the unit heat consumption area, and determining reference unit consumption as first target unit consumption based on unit consumption data of each heat supply area; the unit consumption of each heat supply area is adjusted to be consistent with the first target unit consumption; based on the room temperature difference of each heat supply area, determining a unit consumption correction proportion of each heat supply area, and further obtaining corrected unit consumption as second target unit consumption; and the unit consumption of the corresponding heat supply area is adjusted based on the second target unit consumption. According to the method, the unit heat utilization area heat supply power serves as the judgment and regulation and control condition of pipe network balance, unit consumption consistency adjustment is conducted firstly, then unit consumption correction is conducted on the basis of the room temperature difference, accurate distribution of centralized heat supply is achieved, and the method can adapt to the heat supply effect requirements of different heat supply areas under different building structures.

Description

Technical Field

[0001] The present invention relates to the technical field of heating, and in particular to a method for achieving heat balance of a pipe network based on heating power regulation per unit heating area. Background Art

[0002] Traditional heating systems usually have problems such as uneven heat distribution and large differences in room temperature between different residents in the same building (for example, the room temperature between residents living in corners, on the top floor, and on the ground floor is very different from that of residents in the middle), which leads to energy waste and reduced user satisfaction.

[0003] Chinese invention patent publication text CN117760000 A relates to a heating control method, device, electronic device and storage medium, the method comprising: obtaining heating characteristics of a heating area in a current heating stage, the heating area comprising at least one thermal zone, the heating characteristics comprising outdoor temperature, outdoor light duration and occupancy rate of the heating area corresponding to the current heating stage; obtaining the heating area corresponding to each thermal zone in the heating area, and determining the total heating area of ​​the heating area according to the heating area corresponding to each thermal zone; determining the total amount of heating corresponding to the heating area in the current heating stage based on the heating characteristics and the total heating area; obtaining the occupancy rate of the heating area; determining the required allocated heat corresponding to each thermal zone according to the total heating area, occupancy rate and total heating of the heating area. This technical solution determines the required heat distribution based on the occupancy rate and heating area. It can solve the problems of substandard heating temperature and uneven heating temperature in the heating area to a certain extent. However, it simply makes quantitative calculations based on the area, occupancy rate and weather environment of the usage scenario, and does not take into account the impact of factors such as the building structure in the heating area on the room temperature. It also cannot achieve fine-grained adjustment of the heating supply to residents.

[0004] Chinese invention patent CN111536583B relates to a method for regulating and controlling the vertical and horizontal imbalance balance of the secondary network, which collects the water supply temperature, return water temperature and indoor temperature by setting a temperature sensor; a dynamic flow balancing valve is set on each user's heating pipeline; each unit is set with a collection concentrator to collect the water supply temperature, return water temperature and indoor temperature of each household, and the collection concentrator is connected to the remote control center. During regulation, the target value of the average temperature of the user's supply and return water is calculated based on the indoor target temperature and outdoor temperature, as well as the current indoor temperature, water supply temperature and return water temperature, and sent to the dynamic flow balancing valve, which controls the flow rate according to the average temperature of the supply and return water until the indoor temperature reaches the indoor target temperature after stabilization. This method is based on the adjustment of water line temperature and room temperature, and at the same time a dynamic flow balancing valve is added to achieve independent adjustment of different households. This method is also called the return water temperature consistency method in the heating field. It aims to adjust the return water temperature to achieve indoor temperature regulation. The main problem is that the return water temperature cannot truly and accurately reflect the heating effect. The return water temperature changes slowly, resulting in low adjustment sensitivity, which is easy to become chaotic. Summary of the invention

[0005] The object of the present invention is to provide a method for achieving heat balance of a pipe network based on heating power regulation per unit heating area, so as to solve the above-mentioned problem.

[0006] To achieve the above object, the present invention adopts the following technical solutions: A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area comprises the following steps: S1. Define unit consumption as the instantaneous thermal power per unit heating area, and determine the benchmark unit consumption based on the unit consumption data of each heating area and use it as the first target unit consumption; S2. Adjust the unit consumption of each heating area to make it consistent with the first target unit consumption; S3. Determine the unit consumption correction ratio of each heating area based on the room temperature difference of each heating area, and then obtain the corrected unit consumption as the second target unit consumption; S4. Adjust the unit consumption of the corresponding heating area based on the second target unit consumption.

[0007] Preferably, the step S1 comprises the following sub-steps: S11, defining unit consumption as instantaneous heat power per unit heating area, and obtaining the heating area of ​​each heating area; S12, initializing the opening of the electric control regulating device corresponding to each heating area; S13, collecting the real-time heat consumption of each heating area, and calculating the corresponding unit consumption based on the real-time heat consumption and heating area of ​​each heating area.

[0008] S14, judging whether the heating effect of each heating area reaches the preset heating standard, if not, adjusting the output of the upstream heat source to increase the total heating amount, and returning to step S13, if reached, executing step S15; S15. Determine the unit consumption value under low heating conditions and use it as a benchmark unit consumption. The low heating condition is the heating area with the coldest room temperature or the heating area with the lowest unit consumption.

[0009] Preferably, step S2 comprises the following sub-steps: S21, calculating the heat consumption deviation value of each heating area and sorting them, wherein the heat consumption deviation value is the difference between the real-time unit consumption of the heating area and the first target unit consumption; S22. Determine whether the maximum heat rate deviation value satisfies a preset error range. If so, execute step S3. If not, adjust the unit consumption of the corresponding heating area based on the heat rate deviation value, and execute step S21.

[0010] Preferably, the step S4 comprises the following sub-steps: S41, calculating and sorting the corrected deviation value of each heating area, wherein the corrected deviation value is the difference between the real-time unit consumption of the heating area and the second target unit consumption; S42, judging whether the maximum correction deviation value satisfies the preset error range, if not, adjusting the unit consumption of the corresponding heating area and executing step S41.

[0011] Preferably, the adjustment of the unit consumption of the corresponding heating area in step S42 is adjusted according to the corresponding correction ratio.

[0012] Preferably, it also includes: S5. Adjust the heat source output to meet the total heat source requirement; S6. Adjust the proportion of each heating area in the heat source output to match the proportion of each heating area.

[0013] Preferably, it also includes: S7, judging whether the heat distribution of each heating area is consistent with its corrected unit consumption, if it is consistent, standby, if not consistent, re-execute S5; S8. During the standby process, the unit consumption of each heating area is continuously monitored. If the deviation from the corrected unit consumption exceeds the preset error range, execute step S4.

[0014] Preferably, the real-time heat consumption of each heating area is collected by a heat metering device, the unit consumption is calculated by an edge computing terminal, the corrected unit consumption is analyzed and calculated by a cloud platform, and the unit consumption of each heating area is adjusted by sending instructions from the cloud platform to the electric control adjustment device corresponding to the heating area for adjustment.

[0015] Preferably, the total heat supply is quantitatively obtained by optimizing historical operating data and energy consumption.

[0016] Preferably, the optimization quantitative is specifically: Calculate the period average temperature of each heating area within a preset period; Calculate the average daily temperature of each heating area for each day within a preset period; For each heating area, calculate the difference between the daily average temperature and the period average temperature and sort them; For each heating area, the sorted dates are marked with numbers from 1 to 120 from the beginning to the end as scores; Sum the scores for each date; Sort the dates according to the size of the sum of the scores; Select the appropriate date when the room temperature meets the standard; Based on the selected dates, combined with their weather and energy consumption data, a load forecasting model is established; The total heat supply is calculated using the load forecasting model.

[0017] After adopting the above technical solution, the present invention has the following beneficial effects compared with the background technology: 1. The present invention uses the heating power per unit heating area as the judgment and control condition for the balance of the pipe network, and improves the balance stability of the room temperature by introducing a secondary correction of the heating power per unit heating area; the present invention uses the minimum average energy consumption under the actual heating effect as the most unfavorable link of the system, and realizes that when the heating fees paid by each area are different, whether the actual heating amount meets the actual heating area is used as the judgment standard; the present invention can realize that within the heating range of the same heat exchanger unit or the same heat source, each sub-area can use an independent thermal index as a control target, and realize a real-time graded thermal index heating mode under different building types, different maintenance structures, different occupancy rates or heating rates.

[0018] 2. The present invention can take into account the differences in occupancy conditions of the same building structure, differentiated heating in the same heating station, resistance and blockage of pipe elbows, actual heat dissipation differences, etc., to achieve refined adjustment of heating and thus achieve precise distribution of centralized heating. The present invention fully considers the impact of the building structure on the room temperature during the heating process, uses the unit consumption index (heat index) as the core element to adjust the centralized heating distribution, achieves refined adjustment of heating for residents, and can achieve precise distribution of centralized heating.

[0019] 3. The present invention first determines the benchmark unit consumption and uses it as the first target unit consumption, then achieves consistent unit consumption through adjustment, and then corrects the unit consumption based on the room temperature difference, ultimately achieving precise distribution of centralized heating, which can adapt to the heating effect requirements of different heating areas under different building structures.

[0020] 4. The present invention uses the benchmark unit consumption as the benchmark for heat regulation, that is, establishes a heat regulation benchmark for each heating area, fully considers the situation of heating areas with poor heating effects, and can ensure the overall heating quality and satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 To optimize the score-date curve during quantitation. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Embodiment 1:

[0023] Cooperate Figure 1 As shown, this embodiment discloses a method for achieving heat balance of a pipe network based on heating power regulation per unit heating area, comprising the following steps: S1. Determine the benchmark unit consumption and use it as the first target unit consumption Define unit consumption as the instantaneous thermal power per unit heating area, and determine the benchmark unit consumption based on the unit consumption data of each heating area and use it as the first target unit consumption. This step includes the following sub-steps: S11, defining unit consumption as instantaneous heat power per unit heating area, and obtaining the heating area of ​​each heating area; S12, initializing the opening of the electric control regulating device corresponding to each heating area. In this embodiment, initializing the opening of the electric control regulating device means that the opening of the electric control regulating device is unified to 100%, that is, the electric control regulating device is in a fully open state; S13, collecting the real-time heat consumption of each heating area, and calculating the corresponding unit consumption based on the real-time heat consumption and heating area of ​​each heating area.

[0024] S14, judging whether the heating effect of each heating area reaches the preset heating standard, if not, adjusting the upstream heat source output to increase the total heating amount, and returning to step S13, if it reaches, executing step S15. Here, the heating standard is introduced as the judgment standard, and the heating standard can be a room temperature index or a preset heat consumption index. If the heating effect does not reach the heating standard, the electric control regulating device is already in a fully open state, and the upstream heat source output should be increased at this time to make the heating area with the worst heating effect reach the heating standard again.

[0025] The output of the upstream heat source is the total heat supply. The total heat supply can change with weather changes or other reasons, and the corresponding benchmark unit consumption will also change accordingly. The total heat supply can be intervened by the operator, or it can change automatically with the change of the network without intervention. It can also be optimized and quantified based on historical operation data and energy consumption. The present invention does not make specific restrictions. When the total heat supply is determined by optimizing and quantifying, the following method is specifically used: 1) Calculate the periodic average temperature of each heating area within the preset period, and calculate the daily average temperature of each heating area on each day within the preset period.

[0026] 2) For each heating area, calculate the difference between the daily average temperature and the period average temperature and sort them.

[0027] 3) For each heating area, mark the sorted dates with serial numbers from 1 to 120 from the beginning to the end as scores, sum the scores of each date, and sort the dates according to the size of the summed scores.

[0028] 4) If the room temperature meets the standard, select the appropriate date. Use the sum of the scores as the ordinate and the date as the abscissa to establish a coordinate system and draw a score-date curve. Select the ordinate whose score sum is close to the middle value on the score-date curve, and draw a straight line based on the ordinate. The date corresponding to the point where the straight line intersects with the score-date curve is the selected date. Figure 2 For example, on the score-date curve, draw a straight line at 400 on the ordinate to obtain a set of abscissa dates.

[0029] 5) Based on the selected dates, combined with their weather and energy consumption data, a load forecasting model is established.

[0030] 6) Use the load forecasting model to calculate the corresponding total heating capacity.

[0031] S15. Determine the unit consumption value under the low heating condition and use it as the benchmark unit consumption. The low heating condition is the heating area with the coldest room temperature or the heating area with the lowest unit consumption. Of course, the low heating condition can also be defined as the heating area with the last few units of consumption (such as sorting from large to small in terms of unit consumption, and the third last unit consumption is used as the benchmark unit consumption), or the heating area with the last few percent of unit consumption (such as sorting from large to small in terms of unit consumption, and the last 10% of unit consumption is used as the benchmark unit consumption).

[0032] S2. Adjustment of unit consumption consistency Adjust the unit consumption of each heating area to make it consistent with the first target unit consumption. This step includes the following sub-steps: S21, calculating the heat consumption deviation value of each heating area and sorting them, wherein the heat consumption deviation value is the difference between the real-time unit consumption of the heating area and the first target unit consumption.

[0033] S22, determine whether the maximum heat consumption deviation value meets the preset error range, if so, execute step S3, if not, adjust the unit consumption of the corresponding heating area based on the heat consumption deviation value, and execute step S21. Since the benchmark unit consumption is the unit consumption value under low heating conditions, the unit consumption of other heating areas is usually higher than the benchmark unit consumption. At this time, reducing the corresponding unit consumption can achieve consistency with the benchmark unit consumption.

[0034] S3. Obtaining corrected unit consumption Based on the room temperature difference of each heating area, the unit consumption correction ratio of each heating area is determined, and then the corrected unit consumption is obtained and used as the second target unit consumption. The room temperature difference between each heating area is caused by factors such as building characteristics and location. The room temperature difference can be defined as the difference between the room temperature value of a single heating area and the average room temperature of each heating area, or the difference between the room temperature value of a single heating area and the room temperature value of the coldest heating area, or the difference between the room temperature value of a single heating area and the room temperature value specified by the government or heating company. According to the room temperature difference, the corresponding unit consumption correction ratio can be determined. For ease of understanding, an example is given as follows: assuming that the room temperature is about 16 degrees when there is no heating, and the actual room temperature is 26 degrees when heating, the expected room temperature is 20 degrees at this time, and the correction ratio may be negative 45%; assuming that the room temperature difference reflects that the room temperature is 1.5 degrees lower, the unit consumption correction ratio is determined to be positive 5%, and the corrected unit consumption is 1.05 benchmark unit consumption. If the room temperature requirements are still not met, a further correction ratio is provided.

[0035] S4. Adjustment based on corrected unit consumption The step of adjusting the unit consumption of the corresponding heating area based on the second target unit consumption includes the following sub-steps: S41, calculating and sorting the corrected deviation value of each heating area, wherein the corrected deviation value is the difference between the real-time unit consumption of the heating area and the second target unit consumption.

[0036] S42, judging whether the maximum correction deviation value meets the preset error range, if not, adjusting the unit consumption of the corresponding heating area and executing step S41. The unit consumption of the corresponding heating area involved in this step is not adjusted by quantity, but adjusted by proportion, that is, adjusted according to the proportion of the total instantaneous heat required by the heating area in the total instantaneous heat required by all heating areas. This is to take into account that in some cases, the use of the quantity adjustment method may result in the lack of heat supply for the subsequent adjustment as the adjustment is made one by one or batch by batch.

[0037] In this way, through adjustments based on corrected unit consumption, situations where the heating effect is poor, such as "the units on both sides are colder than the middle units", "the residents on the top floor and in the corners are colder than the residents in the middle", and "the residents with vacant neighbors are colder than the residents without vacant neighbors" can be avoided.

[0038] The adjustment of unit consumption consistency essentially achieves consistency in the instantaneous heat per square meter output of the thermal inlet of each heating area, which is equivalent to a rough adjustment of the heat distribution of each heating area; the adjustment based on the correction of unit consumption essentially corrects the inconsistent room temperature caused by consistent unit consumption, which is equivalent to fine-tuning the heat distribution of each heating area under the consideration of the room temperature index. In other words, the adjustment of unit consumption consistency is to ensure that the output effect is as similar as possible, and the unit consumption correction is to correct the room temperature deviation caused by different insulation effects and different heat efficiency. Based on the above, the unit consumption index (heat index) is used as the core element to adjust the centralized heating distribution, realize the refined adjustment of the heating for residents, and realize the precise distribution of centralized heating.

[0039] In this embodiment, the real-time heat consumption of each heating area is collected by a heat metering device (such as a heat meter), the unit consumption is calculated by an edge computing terminal, the corrected unit consumption is analyzed and calculated by a cloud platform, and the unit consumption of each heating area is adjusted by sending instructions through the cloud platform to the electric control regulating device (such as an electric control valve) corresponding to the heating area for adjustment. Embodiment 2:

[0040] This embodiment is based on the first embodiment, taking into account that in some heating scenarios, the total amount of heat source may be insufficient after the adjustment of steps S1-S4, thus forming a technical solution. The difference between this embodiment and the first embodiment is that it also includes steps S5 and S6, which are specifically: S5. Adjust the heat source output to meet the total heat source requirement.

[0041] S6. Adjust the proportion of each heating area in the heat source output to match the proportion of each heating area.

[0042] S7, judging whether the heat distribution of each heating area is consistent with its corrected unit consumption, if consistent, standby, if not consistent, re-execute S5. Embodiment three:

[0043] This embodiment is a technical solution formed on the basis of the second embodiment, taking into account the situation that the heating effect may change due to weather or other factors in the actual heating scene. The difference between this embodiment and the second embodiment is that it also includes step S8, which is specifically: S8, during the standby process, continuously monitor the unit consumption of each heating area, and if the deviation from the corrected unit consumption exceeds the preset error range, execute step S4. In this way, by real-time monitoring of the unit consumption of each heating area, it is convenient to timely correct the deviation of unit consumption caused by changes in indoor and outdoor environments or other factors.

[0044] In actual application scenarios of the present invention, the same heat exchange station may provide heating to different communities, each community will have a different benchmark unit consumption, and then each household in each community will have a modified unit consumption based on the benchmark unit consumption of the community, thereby realizing heat distribution for each building type.

[0045] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area, characterized in that: The following steps are involved: S1. Define unit consumption as the instantaneous thermal power per unit heating area, and determine the benchmark unit consumption based on the unit consumption data of each heating area and use it as the first target unit consumption; S2. Adjust the unit consumption of each heating area to make it consistent with the first target unit consumption; S3. Determine the unit consumption correction ratio of each heating area based on the room temperature difference of each heating area, and then obtain the corrected unit consumption as the second target unit consumption; S4. Adjust the unit consumption of the corresponding heating area based on the second target unit consumption.

2. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area according to claim 1, characterized in that: The step S1 comprises the following sub-steps: S11, defining unit consumption as instantaneous heat power per unit heating area, and obtaining the heating area of ​​each heating area; S12, initializing the opening of the electric control regulating device corresponding to each heating area; S13, collecting the real-time heat consumption of each heating area, and calculating the corresponding unit consumption based on the real-time heat consumption and heating area of ​​each heating area; S14, judging whether the heating effect of each heating area reaches the preset heating standard, if not, adjusting the output of the upstream heat source to increase the total heating amount, and returning to step S13, if reached, executing step S15; S15. Determine the unit consumption value under low heating conditions and use it as a benchmark unit consumption. The low heating condition is the heating area with the coldest room temperature or the heating area with the lowest unit consumption.

3. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area according to claim 1 or 2, characterized in that: The step S2 comprises the following sub-steps: S21, calculating the heat consumption deviation value of each heating area and sorting them, wherein the heat consumption deviation value is the difference between the real-time unit consumption of the heating area and the first target unit consumption; S22. Determine whether the maximum heat rate deviation value satisfies a preset error range. If so, execute step S3. If not, adjust the unit consumption of the corresponding heating area based on the heat rate deviation value, and execute step S21.

4. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area according to claim 1, characterized in that: The step S4 comprises the following sub-steps: S41, calculating and sorting the corrected deviation value of each heating area, wherein the corrected deviation value is the difference between the real-time unit consumption of the heating area and the second target unit consumption; S42, judging whether the maximum correction deviation value satisfies the preset error range, if not, adjusting the unit consumption of the corresponding heating area and executing step S41.

5. The method for achieving heat balance of a pipe network based on heating power regulation per unit heating area according to claim 1, characterized in that: The adjustment of the unit consumption of the corresponding heating area in step S42 is adjusted according to the corresponding correction ratio.

6. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area according to claim 1, characterized in that: Also includes: S5. Adjust the heat source output to meet the total heat source requirement; S6. Adjust the proportion of each heating area in the heat source output to match the proportion of each heating area.

7. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area as claimed in claim 6, characterized in that: Also includes: S7, judging whether the heat distribution of each heating area is consistent with its corrected unit consumption, if it is consistent, standby, if not consistent, re-execute S5; S8. During the standby process, the unit consumption of each heating area is continuously monitored. If the deviation from the corrected unit consumption exceeds the preset error range, execute step S4.

8. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area as claimed in claim 2, characterized in that: The real-time heat consumption of each heating area is collected by a heat metering device, the unit consumption is calculated by an edge computing terminal, the corrected unit consumption is analyzed and calculated by a cloud platform, and the unit consumption of each heating area is adjusted by sending instructions from the cloud platform to the electric control adjustment device corresponding to the heating area for adjustment.

9. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area as claimed in claim 2, characterized in that: The total heat supply is quantitatively obtained by optimizing the historical operation data and energy consumption.

10. A method for achieving heat balance of a pipe network based on heating power regulation per unit heating area as claimed in claim 9, characterized in that: The optimization quantitative analysis is specifically as follows: Calculate the period average temperature of each heating area within a preset period; Calculate the average daily temperature of each heating area for each day within a preset period; For each heating area, calculate the difference between the daily average temperature and the period average temperature and sort them; For each heating area, the sorted dates are marked with numbers from 1 to 120 from the beginning to the end as scores; Sum the scores for each date; Sort the dates according to the size of the sum of the scores; Select the appropriate date when the room temperature meets the standard; Based on the selected dates, combined with their weather and energy consumption data, a load forecasting model is established; The total heat supply is calculated using the load forecasting model.

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