Fabricated normal-pressure heating and refrigerating system

Abstract

The invention discloses an assembly type normal-pressure heating and refrigerating system, and relates to the technical field of building energy supply. Comprising an intelligent power grid linkage platform which is used for obtaining a power grid data set, a power generation energy data set and an equipment state data set in real time and preprocessing the obtained power grid data set, power generation energy data set and equipment state data set to obtain standardized fusion data; and the regional supply and demand prediction module is used for dividing regions according to functional attributes and establishing an independent energy consumption feature library. The characteristics of photovoltaic midday output peak and wind power night output stability are dynamically matched, cold and heat storage region division and energy storage rhythm in a single tank are adjusted by combining regional demands of heating, refrigeration and domestic hot water in the next day, photovoltaic electric energy can preferentially drive midday cold storage, wind power energy is efficiently used for night heat storage, and the energy efficiency is improved. And meanwhile, cold and hot fluid storage in the tank is more suitable for the next-day energy consumption scene, energy loss caused by cold and hot mixing is avoided, and new energy consumption and peak shifting and valley filling values are fully exerted.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building energy supply, in particular to a prefabricated normal-pressure heating and refrigeration system. BACKGROUND

[0002] With the continuous expansion of the comprehensive energy supply demand of commercial buildings, residential communities and office parks for winter heating, summer refrigeration and all-year life hot water, the prefabricated normal-pressure heating and refrigeration system gradually becomes the mainstream application scheme in the field of building energy supply due to the advantages of modular splicing design, rapid installation and expansion, no high-pressure safety risk of normal-pressure water tank and reduced operation and maintenance cost. The core energy storage and transmission of this system relies on the cooperation of normal-pressure water tank and water distributor to divide the internal space of the tank into different areas to store hot water and cold water respectively; During the night energy storage stage, the water distributor needs to guide the hot water generated by the heating device and the cold water generated by the refrigeration device into the corresponding areas in the tank for storage. During the daytime energy release stage, the water distributor needs to distribute the hot water in the tank to the heating area and the cold water to the refrigeration area according to the end demand, and at the same time, the high-temperature hot water in the tank is distributed to the life hot water pipe network. The water distributor is the key component for realizing the cold and hot partition storage and on-demand distribution in a single tank.

[0003] However, the existing system has certain defects in use. The water distributor has a rough control logic for the cold and hot fluids in a single tank. During the energy storage stage, the hot water and cold water are guided into the tank at a fixed flow rate without adjusting the energy storage rhythm according to the characteristics of the peak output of photovoltaic during the day and the stable output of wind power at night, and without reasonably dividing the cold and hot storage areas in the tank according to the next day's demand for heating, refrigeration and life hot water. At the same time, the temperature drop and temperature rise losses of the energy supply pipeline are not considered, and the delivery volume is not adjusted according to the actual demand changes at the end. As a result, the cold and hot fluids in a single tank are prone to mixing and loss, some areas are insufficient in energy supply, and some areas have idle energy, which not only fails to take advantage of peak load shifting, but also fails to meet the actual requirements of the building field for comprehensive energy supply and low-carbon operation. Therefore, the present application provides a prefabricated normal-pressure heating and refrigeration system to solve such problems. SUMMARY

[0004] Technical problem to be solved In view of the deficiencies of the prior art, the present application provides a prefabricated normal-pressure heating and refrigeration system to solve the problems raised in the background.

[0005] Technical scheme To achieve the above purpose, the present application is implemented by the following technical scheme: a prefabricated normal-pressure heating and refrigeration system, comprising: An intelligent power grid linkage platform is used to obtain power grid data set, power generation energy data set and device state data set in real time, preprocess the obtained power grid data set, power generation energy data set and device state data set, and obtain standardized fusion data; The regional supply and demand prediction module is configured to divide the region according to the functional attribute, establish an independent energy consumption characteristic library, calculate a next-day hourly energy supply demand evaluation value based on historical hourly energy supply data, real-time environmental parameters, regional activity plans and wind and light output prediction of each region, and output a regional energy supply demand curve and a peak energy supply value. The step energy storage regulation module is configured to determine an energy storage priority of each region, a target total energy storage amount at night and a regional energy storage power based on the standardized fusion data, the regional energy supply demand curve and an initial energy storage state of a single tank, dynamically adjust a single tank energy storage distribution and an energy storage equipment operation parameter in combination with a photovoltaic and wind power output law and a low valley power information of the power grid, and dynamically adjust a valve opening degree of an energy supply pipeline and an equipment operation power of each region based on the energy supply adjustment amount and the current energy storage distribution of the single tank, so as to realize energy on-demand distribution. The regional energy release scheduling module is configured to collect an actual energy supply consumption, an energy supply pipeline parameter and a current energy storage distribution of the single tank in real time in the energy supply stage, calculate an energy supply adjustment amount, adjust the valve opening degree of the energy supply pipeline and the equipment operation power of each region based on the energy supply adjustment amount and the current energy storage distribution of the single tank, and realize energy on-demand distribution.

[0006] Preferably, the power grid data set includes a power grid low valley power period, a power grid load change in different time periods, a time length of a load low valley gap in a power grid peak period and a power grid peak valley transition period. The power generation energy data set includes photovoltaic hourly output values, wind power hourly output values, a total photovoltaic power generation amount and a total wind power generation amount. The equipment state data set includes a temperature of a cold and hot area in a single tank, a liquid level height of the single tank, a water distributor operation frequency, an inlet and outlet temperature of the energy supply pipeline and a water pump operation power.

[0007] Preferably, the specific steps of obtaining the standardized fusion data are as follows: The power grid data set is subjected to time stamp formatting processing to unify the time measurement dimensions of the low valley power period, the load change and the peak valley transition period. The power generation energy data set and the equipment state data set are subjected to filtering processing to eliminate abnormal values beyond a normal fluctuation range. The processed power grid data set, the power generation energy data set and the equipment state data set are integrated according to a three-dimensional association dimension of time, region identification and equipment number to form the standardized fusion data.

[0008] Preferably, the specific steps of dividing the region according to the functional attribute and establishing an independent energy consumption characteristic library are as follows: The energy supply range is divided into three type regions of a commercial core region, a residential living region and an office region according to the functional attribute, and each region is assigned a unique identification. Basic parameters of each region are collected, including a region building area, an energy supply area, a type and a number of terminal energy supply equipment and a historical energy consumption peak period. Correlate the above basic parameters and historical energy supply data based on regional identification, and establish an independent energy consumption feature library containing regional types, basic parameters, and energy consumption characteristics.

[0009] Preferably, the specific steps of calculating the next-day hourly energy supply demand evaluation value of each region are as follows: From the historical hourly energy supply data, filter the historical dates consistent with the next-day weather type and equipment operation type, calculate the average value of the corresponding period energy supply as the baseline demand value; Obtain real-time environmental parameters including outdoor temperature, outdoor humidity, and outdoor light intensity, calculate the deviation of real-time environmental parameters from historical standard parameters of the same period, and obtain the environmental correction value; Obtain the equipment preset operation arrangement in the regional activity plan, which includes the equipment planned operation time and the total rated power planned to be put into operation, calculate the difference between the equipment preset operation arrangement and the historical plan value of the same period, and obtain the equipment correction value; Obtain the next-day wind and light output prediction data, calculate the proportion of wind and light output in the total estimated energy supply of the next day, and obtain the wind and light correction value; and comprehensively calculate the baseline demand value and the environmental correction value, the equipment correction value, and the wind and light correction value to obtain the next-day hourly energy supply demand evaluation value of each region.

[0010] Preferably, the specific steps of determining the energy storage priority of each region, the total target energy storage amount at night, and the regional energy storage power are as follows: The energy storage priority is sorted according to the rule that the energy supply demand priority of the commercial core area is the highest, the energy supply demand priority of the residential area is the second, and the energy supply demand priority of the office area is the lowest; Sum the next-day hourly energy supply demand evaluation value of each region, add the preset redundancy range and the conventional loss range in the single-tank energy storage process to obtain the total target energy storage amount at night; According to the energy storage priority and the total load limit of the low valley electricity of the power grid, allocate the basic energy storage power of each region in proportion, wherein the proportion of the commercial core area is not less than the higher part of the basic proportion, the proportion of the residential area is the middle part of the basic proportion, and the proportion of the office area is the lower part of the basic proportion.

[0011] Preferably, the specific steps of dynamically adjusting the single-tank energy storage allocation and the energy storage equipment operation parameters are as follows: real-time monitoring of the photovoltaic midday output value, the wind power night output value, and the real-time load of the power grid; When the photovoltaic midday output value reaches more than half of the regional basic energy storage power, preferentially call the photovoltaic energy to drive the cold storage equipment to reduce the dependence on the power grid; When the wind power night output value reaches more than 60% of the regional basic energy storage power, preferentially call the wind power to drive the heat storage equipment to supplement the single-tank heat storage energy; According to the deviation of the single-tank real-time energy storage progress and the target value, the water flow of the water distributor is dynamically adjusted, the flow is increased when the deviation is negative, and the flow is reduced when the deviation is positive, so as to ensure that the target energy storage amount is completed at the end of the night.

[0012] Preferably, the specific steps of obtaining the energy supply adjustment amount are as follows: The actual energy supply consumption and the energy supply demand evaluation value of the corresponding period of each region are collected in real time, the difference between the two is calculated, and the supply-demand deviation is obtained, the supply-demand deviation is positive, which indicates that the energy supply is excessive, and the supply-demand deviation is negative, which indicates that the energy supply is insufficient; The inlet and outlet temperatures of the energy supply pipeline are collected, the temperature drop loss of the heating pipeline is calculated according to the temperature difference between the inlet and outlet, and the temperature rise loss of the refrigeration pipeline is calculated according to the temperature difference between the inlet and outlet; The supply-demand deviation and the pipeline loss are comprehensively calculated to obtain the energy supply adjustment amount, which is the energy value that needs to be supplemented or reduced.

[0013] Preferably, the specific steps of adjusting the valve opening degree of the energy supply pipeline and the equipment running power of each region are as follows: If the energy supply adjustment amount is positive, that is, the energy supply is excessive, the valve opening degree of the energy supply pipeline is reduced according to the amount of the excess relative to the demand evaluation value, and the water pump running power is also reduced; If the energy supply adjustment amount is negative, that is, the energy supply is insufficient, the surplus energy of the low-priority region in the single tank, such as the cold or heat surplus of the office area, is first queried, and the surplus energy is allocated to the demand region by adjusting the energy flow valve, and the energy supply adjustment amount is recalculated; If there is still insufficient energy supply after the allocation, the load trough interval in the peak period of the power grid is obtained, the required running power of the peak electric equipment is calculated based on the remaining adjustment amount, and the equipment is controlled to run in the interval period to supplement the energy until the energy supply adjustment amount tends to zero.

[0014] Advantages The present application has the following advantages: (1) The assembled normal-pressure heating and refrigeration system dynamically matches the characteristics of the photovoltaic midday power output peak and the wind power night output stability, adjusts the cold and heat storage region division and energy storage rhythm in the single tank according to the next day's heating, refrigeration and domestic hot water regional demand, preferentially drives the photovoltaic energy to store cold during the day, efficiently uses the wind power energy to store heat at night, and makes the cold and heat fluid storage in the tank more suitable for the next day's energy consumption scene, avoids energy loss caused by cold and heat mixing, and fully realizes the value of new energy consumption and peak load shifting.

[0015] (2) This prefabricated atmospheric pressure heating and cooling system can accurately control the loss in the energy transmission process by real-time monitoring of the inlet and outlet temperatures of the energy supply pipeline to calculate the temperature drop and temperature rise loss, and dynamically adjust the water flow of the water distributor and the opening of the energy supply pipeline valve in combination with the supply and demand deviation of each area. This enables energy to be allocated on demand, avoids energy surplus in some areas causing energy idleness or insufficient energy supply in some areas affecting the energy user experience, and improves energy utilization efficiency.

[0016] (3) This prefabricated atmospheric pressure heating and cooling system integrates off-peak electricity information, wind and solar power output forecasts and regional energy supply demand, and coordinates the entire process of energy storage and release. It not only improves the utilization rate of off-peak electricity and new energy sources, but also reduces energy consumption and grid load pressure during peak electricity periods. It can also meet the comprehensive energy supply needs of different functional areas such as commercial, residential and office buildings, and help the building sector achieve the goal of low-carbon and efficient energy operation.

[0017] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0018] Figure 1 This is a structural diagram of a prefabricated atmospheric pressure heating and cooling system according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] This invention provides a technical solution: a prefabricated atmospheric pressure heating and cooling system, such as... Figure 1 As shown, it includes: The smart grid linkage platform is used to acquire real-time power grid datasets, power generation energy datasets, and equipment status datasets, and to preprocess the acquired power grid datasets, power generation energy datasets, and equipment status datasets to obtain standardized fused data. The power grid dataset includes off-peak electricity periods, load changes at different times, the duration of load gaps between peak and off-peak periods, and peak-valley transition periods. The power generation dataset includes hourly output values ​​of photovoltaic power, hourly output values ​​of wind power, total photovoltaic power generation, and total wind power generation. The equipment status dataset includes the temperature of hot and cold zones in a single tank, the liquid level in a single tank, the operating frequency of the water distributor, the inlet and outlet temperatures of the power supply pipeline, and the operating power of the water pump. The interface power grid dispatching management system obtains the low valley power starting and ending time, the official definition of peak period and peak valley transition period, and sets the low valley or 30 minutes after the peak end as the transition period when there is no clear transition period; A three-phase electronic multifunctional power meter is installed in the total power distribution cabinet of the system connected to the power grid. Load data is collected every 10 seconds, and the load change in different periods is summarized. Combined with the peak period, the low load continuous period in the peak is selected, and the length of the peak load low valley gap is calculated.

[0021] A photovoltaic grid-connected inverter is installed in the photovoltaic array combiner box. Power data is collected every 5 seconds, and the hourly average of the photovoltaic hourly output value is obtained. The total amount of photovoltaic power generation is obtained by accumulating the daily power generation of the inverter. A wind power converter is installed in the control cabinet at the bottom of the wind turbine tower. Power data is collected every 5 seconds, and the hourly average of the wind power hourly output value is obtained through the wind farm monitoring system. The total amount of wind power generation is obtained by summing up the daily power generation of each wind turbine through the wind farm monitoring system.

[0022] A single tank can use factory-prepared thermal insulation composite board, which is quickly spliced on site through flanges. Pt100 platinum resistance temperature sensors are installed in the cold and hot zones of the energy storage single tank, with a measurement range of -20℃~120℃ and an accuracy of ±0.1℃. The hot zone sensor is installed at the upper 1 / 3 of the tank, and the cold zone sensor is installed at the lower 1 / 3 of the tank, which is used to obtain the temperature of the cold and hot zones in the single tank. An ultrasonic liquid level meter is installed on the top of the tank, with a measurement range of 0~10m and an accuracy of ±1mm, which is used to obtain the liquid level height of the single tank. A frequency controller is installed on the water distributor drive motor to read the running frequency of the water distributor. Polyurethane insulation pipes are used for energy supply pipelines, which are connected on site through clamp type quick connectors. Plug-in temperature sensors are installed at the inlet and outlet of the energy supply pipeline, with an accuracy of ±0.2℃. The sensor installation position is ≥5 times the pipe diameter away from the pipe bend, and the insertion depth is 1 / 2 of the pipe diameter, which is used to obtain the inlet and outlet temperature of the pipeline. A three-phase power transmitter is installed on the water pump motor inlet to obtain the running power of the water pump.

[0023] The power grid data set is time-stamped and formatted. The time records of the low valley power period, the load change in different periods, and the peak valley transition period are converted to the same time measurement unit, ensuring that the data in each period is accurately aligned on the time axis. The power generation energy data set and the equipment state data set are filtered. According to historical operation data, the 3σ principle is used to determine the normal fluctuation range, and abnormal values outside this range are removed. The power grid data set, the power generation energy data set and the equipment state data set processed above are correspondingly associated according to time sequence, region identification and equipment number, and unified in data format and measurement unit, to form structured standardized fusion data.

[0024] The regional supply and demand prediction module is configured to divide regions according to functional attributes and establish independent energy use characteristic libraries, calculate regional next-day hourly energy supply demand evaluation values based on historical hourly energy supply data, real-time environmental parameters, regional activity plans and wind and light output predictions, and output regional energy supply demand curves and peak energy supply values. The specific steps of dividing regions according to functional attributes and establishing independent energy use characteristic libraries are as follows: According to the actual functional use of buildings in the energy supply range, the energy supply range is divided into three types of regions, namely commercial core area, residential living area and office area, wherein the commercial core area covers commercial complexes, street shops and other buildings, the residential living area covers residential buildings, community supporting buildings and the like, and the office area covers office buildings, administrative office buildings and the like. A unique identification is assigned to each divided region, and the identification adopts a combination of region type letters and digital serial numbers to ensure that different regions can be accurately distinguished. The basic parameters of each region are collected, wherein the regional building area is the total building area of all buildings in the region, the energy supply area is the area actually requiring heating or cooling service in the region, the end energy supply device type includes air conditioning units, heating end devices and cooling end devices installed in the region, the number of end energy supply devices is the actual installation number of the corresponding device type, and the historical energy use peak period is the period in which the energy use load of each region reaches the highest value in the past 12 months. The historical hourly energy supply data of each region in the past 12 months is extracted, and based on the unique identification assigned to each region in advance, the collected basic parameters and the historical hourly energy supply data of the corresponding region are associated and matched to ensure that the basic parameters and the historical energy supply data correspond one by one. Based on the associated data, an independent energy use characteristic library containing region type, basic parameter and energy use characteristic is constructed, wherein the energy use characteristic is obtained by refining the historical hourly energy supply data and includes energy use change law and energy use load fluctuation range in each period.

[0025] The specific steps of calculating the next-day hourly energy supply demand evaluation values of each region are as follows: From the historical hourly energy supply energy data, historical dates consistent with the next-day weather type (such as sunny, overcast and rainy) and the equipment operation type (such as all equipment operation and partial equipment maintenance) are selected, the energy supply energy data of the corresponding period of these dates is extracted, the arithmetic mean value thereof is calculated as a baseline demand value. Obtaining real-time environmental parameters, including outdoor temperature, outdoor humidity, outdoor light intensity, wherein the outdoor temperature is collected by a temperature sensor installed in an open area within the region, the outdoor humidity is collected by a humidity sensor at the same location, and the outdoor light intensity is collected by a light sensor at an unobstructed area within the region; retrieving standard environmental parameters of the corresponding period in the same period in history, such as the same season, the same meteorological type date in the past three years, wherein the standard temperature is the average temperature of the corresponding period in the same period in history, the standard humidity is the average humidity of the corresponding period in the same period in history, and the standard light intensity is the average light intensity of the corresponding period in the same period in history; calculating the deviation of real-time environmental parameters and historical standard parameters, i.e. the temperature deviation obtained by subtracting the standard temperature from the real-time temperature, the humidity deviation obtained by subtracting the standard humidity from the real-time humidity, and the light deviation obtained by subtracting the standard light intensity from the real-time light intensity; according to the influence weight of each deviation on energy supply demand, wherein the temperature deviation weight is higher than the humidity deviation, the humidity deviation weight is higher than the light deviation, for example, the temperature deviation weight is 0.6, the humidity deviation weight is 0.3, and the light deviation weight is 0.1, the temperature deviation, humidity deviation and light deviation are multiplied by the corresponding weight and summed up to obtain the environmental correction value, the correction term is positive when the deviation is positive, indicating that the energy supply demand needs to be increased, and the correction term is negative when the deviation is negative, indicating that the energy supply demand needs to be reduced; Obtaining the preset operation arrangement of the equipment in the region, including the planned operation time length of the equipment and the total rated power input, wherein the planned operation time length of the equipment is retrieved from the equipment operation plan table of the region management system, and the total rated power input is obtained by adding up the rated power of each planned operation equipment; retrieving the equipment planned operation data of the corresponding period in the same period in history, including the historical planned operation time length and the historical total rated power input; calculating the difference between the preset operation arrangement of the equipment and the historical planned value in the same period, i.e. the time length difference obtained by subtracting the historical planned operation time length from the current planned operation time length, and the power difference obtained by subtracting the historical total rated power input from the current total rated power input; according to the influence proportion of the time length difference and the power difference on energy supply demand, wherein the power difference is converted into energy difference according to unit time energy consumption, specifically the power difference multiplied by the planned operation time length of the equipment, wherein the time length difference is converted into energy difference according to the reference power multiplied by the time length difference, and the energy difference obtained by adding the time length difference converted into energy difference and the energy difference corresponding to the power difference is divided by the reference demand value to obtain the equipment correction value, the correction term is positive when the difference is positive, indicating that the energy supply demand needs to be increased, and the correction term is negative when the difference is negative, indicating that the energy supply demand needs to be reduced; Obtain the forecast data for wind and solar power output for the next day. The forecast data for photovoltaic power output is retrieved from the power output forecast system of photovoltaic power plants, and the forecast data for wind power output is retrieved from the power output forecast system of wind farms. Calculate the total forecast for wind and solar power output for the next day, which is the sum of the forecast values ​​for photovoltaic power output and wind power output. Based on the baseline demand value, the correction amount corresponding to the environmental correction value, and the correction amount corresponding to the equipment correction value, estimate the total estimated energy supply for the next day, specifically the baseline demand value plus the environmental correction amount plus the equipment correction value. Calculate the proportion of the total forecast for wind and solar power output to the total estimated energy supply for the next day to obtain the wind and solar power correction value. The higher the proportion, the larger the correction item, indicating that more energy can be supplemented by wind and solar power. The baseline demand value is combined with environmental, equipment, and wind / solar correction values ​​to calculate the hourly energy demand assessment value for each region on the following day.

[0026] The method for obtaining the hourly energy demand assessment value for the following day is as follows: In the formula, Indicates the first The following day's hourly energy demand assessment values ​​for each region, in kilowatt-hours. Indicates the first The baseline demand value for each region, in kilowatt-hours. Indicates the first The environmental correction values ​​for each region are dimensionless coefficients. Indicates the first The equipment correction values ​​for each region are dimensionless coefficients. Indicates the first The landscape correction values ​​for each region are dimensionless coefficients.

[0027] The cascaded energy storage control module is used to determine the energy storage priority, target total energy storage at night, and regional energy storage power of each region based on standardized fusion data, regional energy supply demand curves, and initial energy storage status of a single tank. It also dynamically adjusts the energy storage allocation of a single tank and the operating parameters of the energy storage equipment by combining the output patterns of photovoltaic and wind power and the off-peak electricity information of the power grid. The specific steps for determining the energy storage priority, target total energy storage amount at night, and regional energy storage capacity for each area are as follows: Energy storage priority is ranked in descending order as follows: commercial core area, residential area, and office area. Among them, the commercial core area has the highest priority because it has a high population density and peak energy consumption during the day, and the stability of energy supply directly affects the efficiency of commercial operations. The residential area is related to the daily energy consumption of residents, and the stability of energy supply affects the living experience, so it has the next highest priority. The office area has no human activity at night, and the energy demand is significantly lower than during the day, so it has the lowest priority. The estimated values of the next day's hourly energy supply demand of each region are accumulated respectively to obtain the total energy supply demand estimation of each region, and then the total energy supply demand estimations of all regions are summed up. On this basis, the preset redundancy range and the conventional loss range in the single-tank energy storage process are superimposed to obtain the total amount of target energy storage at night. Among them, the preset redundancy range is to cope with the sudden demand in the energy supply process, such as additional energy consumption caused by extreme weather. Based on the statistical data of energy supply sudden demand in the past three years, the total energy supply demand estimation is 8%; the conventional loss range in the single-tank energy storage process is to consider the natural energy loss of the energy storage medium during storage. Based on the insulation performance test results of the energy storage tank, the total energy supply demand estimation is 4%; According to the energy storage priority and the total load limit of the valley electricity of the power grid, the basic energy storage power and the single-tank cold and heat zone volume of each region are proportionally allocated. First, the basic proportion is determined according to the historical average energy consumption proportion of each region, wherein the commercial core area is 40%, the residential living area is 35%, and the office area is 25%; the energy storage power is allocated according to the proportion, and the proportion of the commercial core area is not less than 1.2 times of the basic proportion, the proportion of the residential living area is 0.9 to 1.1 times of the basic proportion, and the proportion of the office area is 0.8 to 0.9 times of the basic proportion, and the sum of the basic energy storage power of each region does not exceed the total load limit of the valley electricity of the power grid; at the same time, the cold and heat zone volume in the single tank is allocated according to the proportion of the energy storage power. First, the basic proportion is determined according to the historical average energy consumption proportion of each region, specifically, the basic proportion of the commercial core area is 40%, the basic proportion of the residential living area is 35%, and the basic proportion of the office area is 25%; the energy storage power is allocated according to the basic proportion, and the proportion of the commercial core area is not less than 1.2 times of the basic proportion to ensure the stability of energy supply in peak period, the proportion of the residential living area is 0.9 to 1.1 times of the basic proportion to maintain the relative stability of energy supply, and the proportion of the office area is 0.8 to 0.9 times of the basic proportion, and the sum of the basic energy storage power of each region does not exceed the total load limit of the valley electricity of the power grid; at the same time, the cold and heat zone volume in the single tank is allocated according to the proportion of the energy storage power, wherein the volume proportion of the cold zone or the heat zone in the commercial core area is 40%, the volume proportion of the cold zone or the heat zone in the residential living area is 35%, and the volume proportion of the cold zone or the heat zone in the office area is 25%, to ensure that the energy storage matches the regional demand.

[0028] The specific steps of dynamically adjusting the single-tank energy storage allocation and the energy storage equipment operating parameters are as follows: Real-time monitoring of photovoltaic midday output value, wind power night output value and real-time load of power grid, the collection time of photovoltaic midday output value is: midday period: summer 11:00-15:00, winter 12:00-14:00, the time period of wind power night output value is night period: 22:00-6:00 of the next day. Among them, the photovoltaic midday output value is collected through the photovoltaic grid-connected inverter installed at the photovoltaic array junction box, which can measure the photovoltaic output power in real time and transmit data; the wind power night output value is collected through the wind power converter in the control cabinet at the bottom of the wind turbine tower, and the data is forwarded to the system through the wind farm monitoring system; the real-time load of power grid is collected through the three-phase electronic multifunctional electric power instrument at the total power distribution cabinet connected to the power grid, and the instrument uploads real-time load data at fixed frequency; When the photovoltaic midday output value reaches more than half of the corresponding regional basic energy storage power, the photovoltaic energy is preferentially called to drive the regional cold storage equipment; if the photovoltaic output subsequently decreases to less than half of the regional basic energy storage power, the power grid power is automatically switched to supply power in combination with the photovoltaic power according to the rule that the power grid power supplement ratio increases by 10% for every 10% decrease of the photovoltaic output, so as to maintain the stability of the cold storage power; When the wind power night output value reaches more than 60% of the corresponding regional basic energy storage power, the wind power energy is preferentially called to drive the regional heat storage equipment; if the wind power output decreases to less than 60% of the regional basic energy storage power, the water flow of the water distributor is reduced to match the output, so as to avoid the interruption of heat storage progress. During the midday, which is the peak period of photovoltaic output, the energy supply path of the cold storage equipment is switched, the original dependence on the power grid power is switched to photovoltaic power, and the power supply circuit of the cold storage equipment and the power grid is closed, only the connection with the photovoltaic system is reserved, so as to reduce the dependence on the power grid power and improve the utilization rate of new energy. Real-time acquisition of single-tank energy storage progress, the liquid level height of energy storage medium in the tank is collected through the ultrasonic liquid level meter on the top of the single-tank, and the real-time energy storage progress of the single-tank is calculated comprehensively combined with the temperature sensor data of the cold and hot zones in the tank; the real-time energy storage progress is compared with the total night target energy storage amount, and the deviation value is calculated, which is the result of subtracting the total night target energy storage amount from the real-time energy storage progress.

[0029] According to the calculated deviation value, the water flow of the water distributor is dynamically adjusted: when the deviation value is negative, it means that the real-time energy storage progress of the single-tank does not reach the target value, and the water flow of the water distributor needs to be increased; by adjusting the frequency converter controller of the water distributor driving motor, the motor operating frequency is increased, and then the water speed of the water distributor is improved; when the deviation value is positive, it means that the real-time energy storage progress of the single-tank exceeds the target value, and the water flow of the water distributor needs to be reduced; by reducing the output frequency of the frequency converter controller, the water speed of the water distributor is slowed down, so as to ensure that the actual total energy storage amount of the single-tank accurately reaches the target total energy storage amount at the end of the night low valley power period.

[0030] The regional energy release scheduling module is used to collect the actual energy consumption, energy supply pipeline parameters and current energy storage distribution of each region in real time during the energy supply phase, calculate the energy supply adjustment amount, and adjust the valve opening of the energy supply pipeline and the operating power of the equipment in each region based on the energy supply adjustment amount and the energy storage distribution of each tank to achieve energy allocation on demand.

[0031] The specific steps to obtain the energy supply adjustment amount are as follows: Insertion-type temperature sensors with an accuracy of ±0.2℃ are installed at the inlet and outlet ends of the heating pipe to collect the inlet and outlet temperatures. Electromagnetic flow meters with an accuracy class of 0.5 are installed on the heating pipe at a point ≥10 times the pipe diameter downstream of the sensors and ≥5 times the pipe diameter upstream to collect the hourly flow rate of the heating medium. Because the temperature of the heating medium decreases during transport, the temperature drop loss is calculated by combining the collected inlet and outlet temperatures of the heating pipe, the hourly flow rate of the heating medium, and a fixed value for the specific heat capacity of the heating medium.

[0032] The method for obtaining the temperature drop loss is as follows: In the formula, Indicates the first Temperature drop loss of each heating pipe Indicates the first Hourly flow rate of heating medium in each heating pipe Indicates the first The inlet temperature of each heating pipe Indicates the first The outlet temperature of each heating pipe The specific heat capacity of the heating medium is expressed as 4.2 kJ / kg·℃ when the medium is water, and 3.5 kJ / kg·℃ when the medium is a 30% ethylene glycol solution. Obtain the specific heat capacity of the refrigerant, and calculate the temperature rise loss of the refrigeration pipe using the same logic to obtain the temperature rise loss. The system collects the actual energy consumption of each region in real time and the corresponding energy demand assessment value for each time period. The actual energy consumption of each region is collected by energy metering instruments installed on the regional energy inlet pipeline, and the corresponding energy demand assessment value for each time period is the hourly energy demand assessment value for each region calculated in the previous period for the next day.

[0033] When calculating the supply-demand deviation, the actual energy consumption of each region is subtracted from the energy demand assessment value for the corresponding period. The result is the supply-demand deviation.

[0034] The supply-demand deviation is obtained in the following ways: In the formula, Indicates the first Supply and demand discrepancy in each region actual energy consumption of the first region, actual energy consumption of the first region, energy demand evaluation value of the corresponding period of the first region; When the supply-demand deviation is positive, it indicates that the actual energy consumption exceeds the demand evaluation value, and the energy supply is in surplus. When the supply-demand deviation is negative, it indicates that the actual energy consumption is lower than the demand evaluation value, and the energy supply is insufficient. The supply-demand deviation of each region is comprehensively calculated with the pipeline loss of the corresponding region to obtain the energy adjustment amount, which is the energy value that needs to be supplemented or reduced.

[0035] If the regional energy supply is surplus, that is, the supply-demand deviation of the region is positive, the energy adjustment amount is the supply-demand deviation of the region minus the total loss of all pipelines in the region. If the regional energy supply is insufficient, that is, the supply-demand deviation of the region is negative, the energy adjustment amount is the supply-demand deviation of the region plus the total loss of all pipelines in the region. The supply-demand deviation of the region refers to the actual energy consumption of the region minus the energy demand evaluation value of the corresponding period, with the unit of kilowatt-hour. The total loss of all pipelines in the region is the sum of the temperature drop loss of all heating pipelines in the region if it is a heating region, or the sum of the temperature rise loss of all refrigeration pipelines in the region if it is a refrigeration region. The unit of loss needs to be converted from kilojoules to kilowatt-hours, and the conversion coefficient is one kilojoule equal to three hundred and sixty thousandths of a kilowatt-hour. The unit of total loss is kilowatt-hour. The specific steps of adjusting the valve opening degree of the energy supply pipeline and the running power of the equipment in each region are as follows:

[0036] If the energy adjustment amount is positive, that is, the energy supply is surplus, adjust the valve opening degree of the energy supply pipeline according to the proportion of the surplus amount to the demand evaluation value. For example, when the surplus amount accounts for 10%, the valve opening degree is reduced by 20%. When the surplus amount accounts for 20%, the valve opening degree is reduced by 40%, and the maximum opening degree is reduced by no more than 60%. At the same time, reduce the running power of the water pump by the same proportion. If the energy adjustment amount is negative, that is, the energy supply is insufficient, first query the surplus energy storage of the low-priority region in the single tank. The surplus energy storage is obtained by subtracting the energy storage corresponding to the next day's basic energy supply demand of the low-priority region from the current energy storage of the region. For example, the surplus amount of cold or heat in the office area. Adjust the energy flow valve to allocate the surplus energy to the demand region, and recalculate the energy adjustment amount. If there is still insufficient energy supply after the allocation, obtain the load valley gap in the peak period of the power grid, calculate the required running power of the peak electric equipment based on the remaining adjustment amount, and control the equipment to run in the gap period to supplement the energy until the energy adjustment amount tends to zero.

[0037] ​It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other presenters can develop. It is also possible, however, that only a single element can be present. It is further noted that such a term as "comprising" is intended to mean that the embodiments include the recited elements, but not excluding other elements. "Consisting essentially of when used herein in relation to a composition, means that the composition includes the recited elements, and can include additional elements, so long as the additional elements do not materially alter the basic and novel properties of the claimed composition. "Consisting of" when used herein in relation to a composition means that the composition includes the recited elements and nothing more.

[0038] The preferred embodiments of the application disclosed above are only to help explain the principles of the present application. The preferred embodiments do not limit the present application to only the specific embodiments described. It is apparent that many modifications and variations of this application are possible in light of this disclosure. The preferred embodiments are chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best utilize the application. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. A prefabricated atmospheric pressure heating and cooling system, characterized in that, include: The smart grid linkage platform is used to acquire real-time power grid datasets, power generation energy datasets, and equipment status datasets, and to preprocess the acquired power grid datasets, power generation energy datasets, and equipment status datasets to obtain standardized fused data. The regional supply and demand forecasting module is used to divide regions according to functional attributes and establish an independent energy consumption characteristic database. Based on the historical hourly energy supply data, real-time environmental parameters, regional activity plans, and wind and solar power output forecasts for each region, it calculates the hourly energy supply demand assessment value for each region on the next day and outputs the regional energy supply demand curve and peak energy supply. The cascaded energy storage control module is used to determine the energy storage priority, target total energy storage at night, and regional energy storage power of each region based on standardized fusion data, regional energy supply demand curves, and initial energy storage status of a single tank. It also dynamically adjusts the energy storage allocation of a single tank and the operating parameters of the energy storage equipment by combining the output patterns of photovoltaic and wind power and the off-peak electricity information of the power grid. The regional energy release scheduling module is used to collect the actual energy consumption, energy supply pipeline parameters and current energy storage distribution of each region in real time during the energy supply phase, calculate the energy supply adjustment amount, and adjust the valve opening of the energy supply pipeline and the operating power of the equipment in each region based on the energy supply adjustment amount and the energy storage distribution of each tank to achieve energy allocation on demand.

2. The prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The power grid dataset includes off-peak electricity periods, load changes at different times, duration of load gaps during peak hours, and peak-valley transition periods. The power generation energy dataset includes hourly output values ​​of photovoltaic power, hourly output values ​​of wind power, total photovoltaic power generation, and total wind power generation. The equipment status dataset includes the temperature of the hot and cold zones in a single tank, the liquid level in a single tank, the operating frequency of the water distributor, the inlet and outlet temperatures of the power supply pipeline, and the operating power of the water pump.

3. The prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for obtaining standardized fused data are as follows: The power grid dataset is timestamped to unify the time measurement dimensions for off-peak electricity periods, load changes, and peak-valley transition periods. The power generation energy dataset and equipment status dataset are filtered to remove abnormal values ​​that exceed the normal fluctuation range; The processed power grid dataset, power generation energy dataset, and equipment status dataset are integrated according to the three-dimensional association dimensions of time, region identifier, and equipment number to form standardized fused data.

4. The prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for dividing regions according to functional attributes and establishing an independent energy consumption characteristic database are as follows: Based on functional attributes, the energy supply area is divided into three types of areas: commercial core area, residential area and office area, and a unique identifier is assigned to each area. Collect basic parameters for each region, including regional building area, energy supply area, type and quantity of end-point energy supply equipment, and historical peak energy consumption periods; Based on the regional identifier, the above-mentioned basic parameters and historical energy supply data are associated to establish an independent energy consumption characteristic database that includes regional type, basic parameters, and energy consumption characteristics.

5. A prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for calculating the hourly energy demand assessment value for each region on the following day are as follows: From historical hourly energy supply data, select historical dates that match the weather type and equipment operation type of the next day, calculate the average energy supply value for the corresponding time period, and use it as the benchmark demand value. Real-time environmental parameters are obtained, including outdoor temperature, outdoor humidity, and outdoor light intensity. The deviation between the real-time environmental parameters and the historical standard parameters for the same period is calculated to obtain the environmental correction value. Obtain the pre-set operating schedule of equipment in the regional activity plan. The pre-set operating schedule of equipment includes the planned operating time of equipment and the total rated power to be put into operation. Calculate the difference between the pre-set operating schedule of equipment and the planned value of the same period in history to obtain the equipment correction value. Obtain the wind and solar power output forecast data for the next day, calculate the proportion of wind and solar power output to the total estimated energy supply for the next day, and obtain the wind and solar power correction value; The baseline demand value is combined with environmental, equipment, and wind / solar correction values ​​to calculate the hourly energy demand assessment value for each region on the following day.

6. A prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for determining the energy storage priority, target total energy storage amount at night, and regional energy storage power for each area are as follows: Energy storage priority is ranked according to the rule that the energy demand of the commercial core area has the highest priority, followed by the energy demand of the residential area, and the energy demand of the office area has the lowest priority. The target total energy storage capacity for the night is obtained by summing the hourly energy demand assessment values ​​for each region the following day, adding the preset redundancy range and the normal loss range during the single tank energy storage process; Based on energy storage priority and the total off-peak electricity load limit of the power grid, the basic energy storage capacity of each region is allocated proportionally, with the commercial core area accounting for a higher proportion than the basic proportion, the residential area accounting for a medium proportion of the basic proportion, and the office area accounting for a lower proportion of the basic proportion.

7. A prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for dynamically adjusting the single-tank energy storage distribution and the operating parameters of the energy storage equipment are as follows: real-time monitoring of photovoltaic midday output, wind power nighttime output, and real-time grid load; When the photovoltaic output at midday reaches more than half of the regional basic energy storage capacity, photovoltaic energy will be prioritized to drive cold storage equipment to reduce the dependence on grid electricity. When the nighttime output of wind power reaches more than 60% of the regional basic energy storage capacity, wind power energy will be used first to drive the thermal storage equipment to supplement the energy storage of the single-tank thermal zone. Based on the deviation between the real-time energy storage progress of a single tank and the target value, the water flow rate of the water distributor is dynamically adjusted. When the deviation is negative, the flow rate is increased, and when the deviation is positive, the flow rate is decreased to ensure that the target total energy storage is completed by the end of the night.

8. A prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for obtaining the energy supply adjustment amount are as follows: The actual energy consumption of each region and the energy demand assessment value for the corresponding time period are collected in real time. The difference between the two is calculated to obtain the supply-demand deviation. A positive value of the supply-demand deviation indicates that there is an energy surplus, and a negative value indicates that there is an energy shortage. Collect the inlet and outlet temperatures of the energy supply pipelines. Calculate the temperature drop loss of the heating pipelines based on the temperature difference between the inlet and outlet, and calculate the temperature rise loss of the cooling pipelines based on the temperature difference between the inlet and outlet. The energy supply adjustment amount is obtained by combining the supply and demand deviation with pipeline losses. The energy supply adjustment amount is the value of energy that needs to be supplemented or reduced.

9. A prefabricated atmospheric pressure heating and cooling system according to claim 1, characterized in that: The specific steps for adjusting the valve openings and equipment operating power of the energy supply pipelines in each area are as follows: If the energy supply adjustment is positive, i.e., there is an energy surplus, the opening of the energy supply pipeline valves will be reduced accordingly based on the amount of surplus relative to the demand assessment value, and the operating power of the water pumps will be reduced at the same time. If the energy supply adjustment amount is negative, it means that the energy supply is insufficient. First, check the surplus energy storage in the low priority area of ​​the single tank, such as the surplus of cooling or heating in the office area. Then, adjust the energy flow valve to allocate the surplus energy to the demand area and recalculate the energy supply adjustment amount. If insufficient energy supply still exists after the adjustment, obtain the load gap during the peak period of the power grid, calculate the operating power required by the peak equipment based on the remaining adjustment amount, and control the equipment to operate during the gap period to supplement energy until the energy supply adjustment amount approaches zero.

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