An assembled normal-pressure heating and refrigerating system

Abstract

The application discloses an assembled normal-pressure heating and refrigerating system and relates to the technical field of building energy supply. The system comprises an intelligent power grid linkage platform, a regional supply-demand prediction module and the like. The intelligent power grid linkage platform is used for acquiring power grid data sets, power generation energy data sets and equipment state data sets in real time, preprocessing the acquired power grid data sets, power generation energy data sets and equipment state data sets, and obtaining standardized fusion data. The regional supply-demand prediction module is used for dividing regions according to functional attributes and establishing independent energy use characteristic libraries. The application can dynamically match the characteristics of the high photovoltaic output peak during the noon and the stable wind power output during the night, combine the regional demand adjustment of the next day's heating, refrigerating and domestic hot water, adjust the division and energy storage rhythm of the cold and heat storage regions in the single tank, make the photovoltaic power preferentially drive the noon cold storage and make the wind power be efficiently used for the night heat storage, simultaneously make the cold and heat fluid storage in the tank more suitable for the next day's energy use scene, avoid the energy loss caused by the cold and heat mixing, and fully exert the new energy consumption and peak load shifting and valley filling values.

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;

[0003] 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 a key component for realizing cold and hot partition storage and on-demand distribution in a single tank.

[0004] However, the existing system has certain defects in use. The water distributor has a rough control logic for cold and hot fluids in a single tank. During the energy storage stage, only 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 loss of the energy supply pipeline is 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 comprehensive energy supply and low-carbon operation in the building field. Therefore, the present application provides a prefabricated normal-pressure heating and refrigeration system to solve such problems. SUMMARY

[0005] Technical problems to be solved

[0006] 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 art.

[0007] Technical scheme

[0008] To achieve the above purpose, the present application is implemented by the following technical scheme: a prefabricated normal-pressure heating and refrigeration system, comprising:

[0009] 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.

[0010] 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.

[0011] 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.

[0012] 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.

[0013] Preferably, the power grid dataset includes off-peak electricity periods, load changes in different periods, duration of load gaps between peak and off-peak periods, and peak-valley transition periods.

[0014] 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.

[0015] 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.

[0016] Preferably, the specific steps for obtaining standardized fused data are as follows:

[0017] The power grid dataset is timestamped to unify the time measurement dimensions for off-peak electricity periods, load changes, and peak-valley transition periods.

[0018] The power generation energy dataset and equipment status dataset are filtered to remove abnormal values ​​that exceed the normal fluctuation range;

[0019] 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.

[0020] Preferably, the specific steps for dividing the region according to functional attributes and establishing an independent energy consumption characteristic database are as follows:

[0021] 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.

[0022] 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;

[0023] 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.

[0024] Preferably, the specific steps for calculating the hourly energy demand assessment value for each region on the following day are as follows:

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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; combine the baseline demand value with the environmental correction value, equipment correction value, and wind and solar power correction value to obtain the hourly energy supply demand assessment value for each region for the next day.

[0029] Preferably, the specific steps for determining the energy storage priority of each region, the target total energy storage at night, and the energy storage power of each region are as follows:

[0030] 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.

[0031] 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;

[0032] 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.

[0033] Preferably, 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 values, wind power nighttime output values, and real-time grid load;

[0034] 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.

[0035] 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.

[0036] 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.

[0037] Preferably, the specific steps for obtaining the energy supply adjustment amount are as follows:

[0038] 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.

[0039] 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.

[0040] 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.

[0041] Preferably, the specific steps for adjusting the valve openings and equipment operating power of the energy supply pipelines in each area are as follows:

[0042] 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.

[0043] 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.

[0044] 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.

[0045] Beneficial effects

[0046] The present invention has the following beneficial effects:

[0047] (1) This prefabricated atmospheric pressure heating and cooling system dynamically matches the characteristics of photovoltaic midday peak output and wind power stable nighttime output. It adjusts the division of cold and hot storage areas and energy storage rhythm in a single tank according to the regional demand for heating, cooling and domestic hot water the next day. This allows photovoltaic power to drive midday cold storage and wind power energy to be used efficiently for nighttime heat storage. At the same time, it makes the cold and hot fluid storage in the tank more suitable for the energy consumption scenario the next day, avoids energy loss caused by cold and hot mixing, and gives full play to the value of new energy consumption and peak filling.

[0048] (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.

[0049] (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.

[0050] 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

[0051] Figure 1 This is a structural diagram of a prefabricated atmospheric pressure heating and cooling system according to the present invention. Detailed Implementation

[0052] 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.

[0053] This invention provides a technical solution: a prefabricated atmospheric pressure heating and cooling system, such as... Figure 1 As shown, it includes:

[0054] 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.

[0055] 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.

[0056] Connect to the power grid dispatch management system to obtain the start and end times of off-peak electricity, the officially defined peak hours and peak-valley transition periods. If there is no clear transition period, set 30 minutes after the end of the off-peak or peak hours as the transition period.

[0057] A three-phase electronic multi-functional power meter is installed in the main distribution cabinet connected to the power grid. Load data is collected every 10 seconds, and the load changes at different times are summarized. Then, combined with the peak time period, the continuous low load period within the peak is selected, and the duration of the peak load-valley interval is calculated.

[0058] A photovoltaic grid-connected inverter is installed in the photovoltaic array combiner box. Power data is collected every 5 seconds, and the hourly average value is calculated as the photovoltaic hourly output value. At the same time, the total amount of photovoltaic power generation is obtained by accumulating the daily power generation by the inverter.

[0059] 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. After being forwarded by the wind farm monitoring system, the hourly average value of wind power output is calculated. The wind farm monitoring system then summarizes the daily power generation of each wind turbine and sums them up to obtain the total amount of wind power generated.

[0060] Each energy storage tank uses factory-prefabricated insulated composite panels, which are quickly assembled on-site via flanges. Pt100 platinum resistance temperature sensors are installed in the hot and cold zones of the tank, with a measurement range of -20℃ to 120℃ and an accuracy of ±0.1℃. The hot zone sensor is installed in the upper 1 / 3 of the tank, and the cold zone sensor is installed in the lower 1 / 3 of the tank, to obtain the temperature of the hot and cold zones within the tank. An ultrasonic level gauge is installed on the top of the tank, with a measurement range of 0 to 10m and an accuracy of ±1mm, to obtain the liquid level height of the tank.

[0061] The operating frequency of the water distributor is obtained by reading the operating frequency of the drive motor of the water distributor; the power supply pipeline adopts the factory prefabricated polyurethane insulation pipe, which is connected on site by clamp-type quick connectors. Insertion temperature sensors with an accuracy of ±0.2℃ are installed at the inlet and outlet of the power supply pipeline. The sensor installation position is ≥5 times the pipe diameter from the pipe bend, and the insertion depth is 1 / 2 of the pipe diameter. It is used to obtain the inlet and outlet temperature of the pipeline.

[0062] A three-phase power transmitter is installed at the inlet of the water pump motor to obtain the operating power of the water pump.

[0063] The power grid dataset is timestamped and formatted to convert the time records of off-peak electricity periods, load changes at different times, and peak-valley transition periods into the same time unit, ensuring that the data for each period are accurately aligned on the time axis.

[0064] The power generation energy dataset and equipment status dataset are filtered, and the normal fluctuation range is determined based on the 3σ principle according to historical operating data. Abnormal values ​​that exceed this range are then removed.

[0065] The power grid dataset, power generation dataset, and equipment status dataset, which have undergone the above processing, are associated according to time sequence, regional identifier, and equipment number, and the data format and measurement unit are unified to form structured and standardized fused data.

[0066] 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.

[0067] The specific steps for dividing regions according to functional attributes and establishing independent energy consumption characteristic databases are as follows:

[0068] Based on the actual function and use of the buildings within the energy supply range, the energy supply range is divided into three types of areas: commercial core area, residential area, and office area. The commercial core area includes commercial complexes, street shops, and other buildings; the residential area includes residential buildings, community supporting buildings, and other buildings; and the office area includes office buildings, administrative office buildings, and other buildings.

[0069] Each divided region is assigned a unique identifier, which uses a combination of letters and numbers representing the region type to ensure that different regions can be accurately distinguished.

[0070] Collect basic parameters for each region, including the total building area of ​​all buildings in the region, the energy supply area is the area in the region that actually needs to provide heating or cooling services, the types of terminal energy supply equipment include air conditioning units, heating terminal equipment, cooling terminal equipment, etc. installed in the region, the number of terminal energy supply equipment is the actual number of units installed for the corresponding equipment type, and the historical peak energy consumption period is the period in the past 12 months when the energy load of each region reaches the highest value.

[0071] Extract historical hourly energy supply data for each region over the past 12 months. Based on the unique identifiers previously assigned to each region, associate and match the collected basic parameters with the historical hourly energy supply data of the corresponding region to ensure that the basic parameters correspond one-to-one with the historical energy supply data.

[0072] Based on the correlated data, an independent energy consumption feature library is constructed, which includes regional type, basic parameters, and energy consumption characteristics. The energy consumption characteristics are extracted from historical hourly energy supply data and include the energy consumption change patterns and energy load fluctuation ranges for each period.

[0073] The specific steps for calculating the hourly energy demand assessment value for each region on the following day are as follows:

[0074] From historical hourly energy supply data, select historical dates that match the weather type (e.g., sunny, cloudy, rainy) and equipment operation type (e.g., all equipment is running, some equipment is under maintenance) of the next day, extract the energy supply data for the corresponding time period of these dates, calculate their arithmetic mean, and use it as the baseline demand value.

[0075] Real-time environmental parameters are acquired, including outdoor temperature, outdoor humidity, and outdoor light intensity. Outdoor temperature is collected by a temperature sensor installed in an open area within the region; outdoor humidity is collected by a humidity sensor at the same location; and outdoor light intensity is collected by a light sensor located in an unobstructed area within the region. Standard environmental parameters for the corresponding historical time period are retrieved, such as dates of the same season and weather type over the past three years. The standard temperature, standard humidity, and standard light intensity are the average temperature, humidity, and light intensity for the corresponding historical time period. The real-time environmental parameters are then compared with the historical standard parameters. Deviations are calculated by subtracting the standard temperature from the real-time temperature, the humidity from the real-time humidity, and the light intensity from the real-time light intensity. Based on the weighted impact of each deviation on energy demand, with temperature deviation having a higher weight than humidity deviation, and humidity deviation having a higher weight than light deviation (e.g., temperature deviation weight 0.6, humidity deviation weight 0.3, light deviation weight 0.1), the environmental correction value is obtained by multiplying each deviation by its corresponding weight and summing the results. A positive deviation indicates a positive correction, meaning energy demand needs to increase; a negative deviation indicates a negative correction, meaning energy demand needs to decrease.

[0076] Obtain the pre-set operating schedule for equipment within the region, including the planned operating time and the total planned rated power. The planned operating time is retrieved from the equipment operation plan table of the regional management system, and the total planned rated power is obtained by summing the rated power of each planned operating device. Retrieve the planned operating data for the corresponding period in the historical timeframe, including the historical planned operating time and the historical total planned rated power. Calculate the difference between the pre-set operating schedule and the historical planned values ​​for the same period, i.e., the difference in duration obtained by subtracting the historical planned operating time from the current planned operating time. The current planned power input... The power difference is obtained by subtracting the total historical planned rated power from the total rated power. The impact ratio of the duration difference and the power difference on the energy demand is calculated. The power difference is converted into energy difference based on the energy consumption per unit time, specifically by multiplying the power difference by the planned operating time of the equipment. The duration difference is converted by multiplying the baseline power by the duration difference to obtain the energy difference. The energy difference is then added to the energy difference corresponding to the power difference and divided by the baseline demand value to obtain the equipment correction value. When the difference is positive, the correction term is positive, indicating that the energy demand needs to be increased. When the difference is negative, the correction term is negative, indicating that the energy demand needs to be reduced.

[0077] 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.

[0078] The baseline demand value is combined with environmental, equipment, and wind / solar correction values ​​to calculate the hourly energy supply demand assessment value for each region on the following day.

[0079] The method for obtaining the hourly energy demand assessment value for the following day is as follows:

[0080]

[0081] 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.

[0082] 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.

[0083] The specific steps for determining the energy storage priority, target total energy storage for nighttime, and regional energy storage capacity for each area are as follows:

[0084] 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.

[0085] The hourly energy demand assessments for each region the following day are summed to obtain the estimated total energy demand for each region the following day. Then, the estimated total energy demand for all regions is summed. Based on this, a preset redundancy margin and the normal loss margin during single-tank energy storage are added to obtain the target total energy storage for the night. The preset redundancy margin is designed to cope with potential sudden demand during the energy supply process, such as additional energy consumption caused by extreme weather. It is taken as 8% of the estimated total energy demand based on statistical data of sudden energy demand over the past three years. The normal loss margin during single-tank energy storage considers the natural energy loss of the energy storage medium during storage. It is taken as 4% of the estimated total energy demand based on the insulation performance test results of the energy storage tanks.

[0086] Based on energy storage priority and the total off-peak electricity load limit of the power grid, the basic energy storage capacity and single-tank hot and cold zone volume of each region are allocated proportionally. First, the basic proportion is determined according to the historical average energy consumption ratio of each region, with 40% for the commercial core area, 35% for residential areas, and 25% for office areas. Energy storage capacity is allocated according to this proportion, with the proportion in the commercial core area not less than 1.2 times the basic proportion, the proportion in residential areas being 0.9 to 1.1 times the basic proportion, and the proportion in office areas being 0.8 to 0.9 times the basic proportion. The sum of the basic energy storage capacity of each region does not exceed the total off-peak electricity load limit of the power grid. At the same time, the division of the hot and cold zone volume within a single tank is consistent with the energy storage capacity ratio. Based on energy storage priority and the total off-peak electricity load limit of the power grid, the basic energy storage capacity and single-tank hot and cold zone volume of each region are allocated proportionally. First, a basic ratio is determined based on the historical average energy consumption ratio of each region. Specifically, the basic ratio is 40% for the core commercial area, 35% for the residential area, and 25% for the office area. The energy storage capacity is allocated according to this basic ratio, with the ratio in the core commercial area being no less than 1.2 times the basic ratio to ensure the stability of energy supply during peak hours. The ratio in the residential area is 0.9 to 1.1 times the basic ratio to maintain relative stability of energy supply, and the ratio in the office area is 0.8 to 0.9 times the basic ratio. At the same time, the sum of the basic energy storage capacity of each region does not exceed the total off-peak electricity load limit of the power grid. In addition, the cold and hot zone volume division within a single tank is consistent with the energy storage capacity ratio, with the cold or hot zone volume ratio in the core commercial area being 40%, the cold or hot zone volume ratio in the residential area being 35%, and the cold or hot zone volume ratio in the office area being 25%, to ensure that energy storage matches regional demand.

[0087] The specific steps for dynamically adjusting the single-tank energy storage allocation and energy storage equipment operating parameters are as follows:

[0088] The system monitors real-time photovoltaic (PV) output at midday, wind power output at night, and real-time grid load. The PV midday output data is collected during the midday period: 11:00-15:00 in summer and 12:00-14:00 in winter. The wind power nighttime output data is collected during the nighttime period: 22:00-6:00 the next day. The PV midday output data is collected by the PV grid-connected inverter installed at the PV array combiner box. This inverter can measure the PV output power in real time and transmit the data. The wind power nighttime output data is collected by the wind power converter in the control cabinet at the bottom of the wind turbine tower. The data is forwarded to this system by the wind farm monitoring system. The real-time grid load is collected by a three-phase electronic multi-functional power meter at the main distribution cabinet connected to the grid. The meter uploads real-time load data at a fixed frequency.

[0089] When the photovoltaic output at midday reaches more than half of the corresponding area's basic energy storage capacity, photovoltaic energy is prioritized to drive the cold storage equipment in that area; if the photovoltaic output subsequently drops to less than half of the area's basic energy storage capacity, the grid power supplementation ratio increases by 10% for every 10% drop in output, and the system automatically switches to a combined photovoltaic and grid power supply to maintain stable cold storage capacity.

[0090] When the nighttime wind power output reaches more than 60% of the corresponding area's basic energy storage capacity, wind power is prioritized to drive the thermal storage equipment in that area. If the wind power output drops below 60% of the area's basic energy storage capacity, the output is matched by reducing the water flow rate of the water distributor to avoid interrupting the thermal storage process. Midday is the peak period for photovoltaic output. At this time, the energy supply path of the cold storage equipment is switched from grid power to photovoltaic power. Simultaneously, the power supply circuit between the cold storage equipment and the grid is shut off, maintaining only the connection with the photovoltaic system. This reduces dependence on grid power and improves the utilization rate of new energy sources.

[0091] The real-time energy storage progress of a single tank is obtained by collecting the liquid level of the energy storage medium inside the tank through an ultrasonic level gauge on the top of the tank, and combining the temperature sensor data of the hot and cold zones inside the tank to calculate the real-time energy storage progress of a single tank. The real-time energy storage progress is compared with the target total energy storage amount at night, and the deviation value between the two is calculated. The deviation value is the real-time energy storage progress minus the target total energy storage amount at night.

[0092] The water distributor's flow rate is dynamically adjusted based on the calculated deviation value: when the deviation value is negative, it indicates that the real-time energy storage progress of a single tank has not reached the target value, and the water distributor's flow rate needs to be increased. This is achieved by adjusting the frequency converter of the water distributor's drive motor to increase the motor's operating frequency, thereby increasing the water distributor's delivery speed. When the deviation value is positive, it indicates that the real-time energy storage progress of a single tank has exceeded the target value, and the water distributor's flow rate needs to be reduced. This is achieved by lowering the frequency converter's output frequency to slow down the water distributor's delivery speed, ensuring that the actual total energy storage of a single tank accurately reaches the target total energy storage by the end of the off-peak electricity period at night.

[0093] 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.

[0094] The specific steps to obtain the energy supply adjustment amount are as follows:

[0095] 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.

[0096] The method for obtaining the temperature drop loss is as follows:

[0097]

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] The supply-demand deviation is obtained in the following ways:

[0103]

[0104] In the formula, Indicates the first Supply and demand discrepancy in each region Indicates the first The actual energy consumption of each region Indicates the first Energy demand assessment values ​​for each region during the corresponding time period;

[0105] When the supply-demand deviation is positive, it indicates that the actual supply exceeds the demand assessment, and the supply is in a state of surplus; when the supply-demand deviation is negative, it indicates that the actual supply is lower than the demand assessment, and the supply is insufficient.

[0106] The supply and demand deviation of each region is combined with the pipeline loss of the corresponding region to calculate the energy supply adjustment amount, which is the amount of energy that needs to be supplemented or reduced.

[0107] If a region has an energy surplus, meaning the supply-demand imbalance is positive, the energy adjustment is the supply-demand imbalance minus the total losses of all pipelines within the region. If a region has an energy shortage, meaning the supply-demand imbalance is negative, the energy adjustment is the supply-demand imbalance plus the total losses of all pipelines within the region. The regional supply-demand imbalance refers to the actual energy consumption of the region minus the assessed energy demand for the corresponding time period, expressed in kilowatt-hours (kWh). The total losses of all pipelines within the region are calculated as follows: for heating regions, the sum of temperature drop losses in all heating pipelines; for cooling regions, the sum of temperature rise losses in all cooling pipelines. The units of these losses must be converted from kilojoules (kJ) to kilowatt-hours using a conversion factor of 1000 kJ = 3600 kWh. The total losses are expressed in kilowatt-hours.

[0108] The specific steps for adjusting the valve openings and equipment operating power of energy supply pipelines in various areas are as follows:

[0109] If the energy supply adjustment is positive, i.e., there is an energy surplus, the opening of the energy supply pipeline valve is adjusted according to the proportion of the surplus to the demand assessment value. For example, when the surplus accounts for 10%, the valve opening is reduced by 20%; when the surplus accounts for 20%, the valve opening is reduced by 40%, and the maximum reduction in opening does not exceed 60%. At the same time, the operating power of the water pump is reduced by the same proportion.

[0110] If the energy supply adjustment amount is negative, it means that the energy supply is insufficient. First, query the surplus energy storage in the low priority area of ​​the single tank. The surplus energy storage is obtained by subtracting the energy storage corresponding to the basic energy supply demand of the area the next day from the current energy storage of the low priority area. For example, the surplus of cooling or heating in the office area. The surplus energy is allocated to the demand area by adjusting the energy flow valve, and the energy supply adjustment amount is recalculated.

[0111] 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.

[0112] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0113] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention 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 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 basic parameters and historical energy supply data are associated to establish an independent energy consumption characteristic database containing regional type, basic parameters and energy consumption characteristics; 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 correction values, equipment correction values, and wind and solar correction values ​​to obtain the hourly energy supply demand assessment value for each region on the next day. 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 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.

5. 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 used first to drive the 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.

6. 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.

7. 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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