Thermal chemical heat storage heating system design method and related device

Abstract

The invention discloses a thermochemical heat storage and supply system design method and a related device, and relates to the technical field of heat storage and supply, and the method comprises the following steps: obtaining operation data of a system under typical meteorological year set working conditions of all selected cities, and obtaining a relation curve based on fitting, the relation description module is used for describing the relation among mass flow, the maximum air return rate and system heat release; the first volume heat exchange rate of each selected city is determined according to the system heat release amount of each selected city and the minimum reactor volume needed by system heat supply; performing climate zone division on each selected city to obtain a plurality of climate zone classifications; and according to the first volume heat exchange rate of the selected city in each climate zone classification, the second volume heat exchange rate of each climate zone classification is determined, and according to the fitting curve of the selected city in each climate zone classification, the fitting formula of each climate zone classification is determined. The fitting formula is used for describing the relation between the mass flow and the heat release of the system, can be used for guiding the design of the system in different climate regions, and is beneficial to improving the adaptability of the system.

Description

Technical Field

[0001] The present application relates to the field of heat storage heating technology, and in particular to a design method for a thermochemical heat storage heating system and related devices. Background Art

[0002] Thermochemical heat storage is one of the feasible technologies for cross-seasonal storage of renewable energy. It can effectively store summer solar heat and continuously heat buildings in winter, thus solving the mismatch between energy supply and building heat demand in time and space.

[0003] However, the design of the open thermochemical heat storage heating system is greatly affected by environmental factors, especially in the heating season, when changes in outdoor temperature and humidity will significantly affect the heat release and temperature of the hydrated salt in the thermochemical reactor, thereby affecting its heating effect. Therefore, it is particularly important to design the open thermochemical heat storage heating system according to different climate characteristics for the application and promotion of the thermochemical heat storage heating system.

[0004] At present, traditional research mainly focuses on the performance analysis of the system under the influence of a single factor (such as temperature or humidity, etc.), and often ignores the complex environment of multiple factors faced by the system during actual operation. The research results cannot fully reflect the system performance and cannot guide the design of open thermochemical heat storage heating systems.

[0005] In view of this, how to rationally design a thermochemical heat storage heating system for different environments has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] In view of this, the main purpose of the present application is to provide a thermochemical heat storage heating system design method and related devices, with the aim of achieving adaptive design of the thermochemical heat storage heating system.

[0007] In a first aspect, the present application provides a method for designing a thermochemical heat storage heating system, the method comprising:

[0008] Obtaining the operating data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city, the operating data including: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, the system heat release, and the minimum reactor volume required for system heating;

[0009] According to the operation data, the relationship curve corresponding to each selected city is constructed, and the relationship curve is used to describe the relationship between the mass quantity, the maximum return air rate and the heat release of the system;

[0010] Determine the first volume heat exchange rate of each selected city according to the system heat release of each selected city and the minimum reactor volume required for system heating;

[0011] Divide each selected city into climate zones to obtain multiple climate zone classifications;

[0012] According to the first volume heat exchange rate of the selected city in each climate zone classification, the second volume heat exchange rate corresponding to each climate zone classification is determined, and according to the relationship curve of the selected city in each climate zone classification, the fitting formula corresponding to each climate zone classification is determined, and the fitting formula is used to describe the relationship between mass flow and system heat release.

[0013] In some implementations of the first aspect of the present application, obtaining the operating data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city includes:

[0014] Based on the average outdoor temperature during the heating season in a typical meteorological year of each city, a plurality of selected cities are selected from each city;

[0015] Obtain weather data and static input operation data for each selected city, the static input operation data including: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate;

[0016] Weather data and static input operation data are input into the simulation model of the thermochemical heat storage heating system to obtain dynamic output operation data, which includes: the system heat release corresponding to each mass flow rate and the minimum reactor volume required for system heating.

[0017] In some implementations of the first aspect of the present application, weather data and static input operation data are input into a simulation model of a thermochemical heat storage heating system to obtain dynamic output operation data, including;

[0018] Input weather data and static input operation data into the thermochemical heat storage heating system simulation model, the weather data thermochemical heat storage heating system simulation model determines whether the calculation step needs to be executed, and the static input operation data thermochemical heat storage heating system simulation model executes the calculation step;

[0019] Through the simulation model of the thermochemical heat storage heating system, the dynamic output operation data is calculated according to the static input operation data.

[0020] In some implementations of the first aspect of the present application, the thermochemical heat storage heating system simulation model includes: a heat charging simulation module, a heat releasing simulation module, and a building load simulation module;

[0021] A heat charging simulation module is used to simulate the heat storage of the reactor when the calculation steps do not need to be performed;

[0022] A heat release simulation module is used to simulate the heat release of the reactor when the calculation step needs to be executed so that the indoor temperature of the building reaches the target temperature; wherein the heat release simulation is performed based on weather data and static input operation data;

[0023] The building load simulation module is used to simulate the indoor temperature of the building according to the output of the heat release simulation module, wherein the output of the heat release simulation module is dynamic output operation data.

[0024] In some implementations of the first aspect of the present application, the plurality of climate zone classifications include:

[0025] Extremely cold areas, cold areas, hot summer and cold winter areas, mild areas, and hot summer and warm winter areas.

[0026] In some implementations of the first aspect of the present application, the method further includes:

[0027] The humidity category of each selected city is determined based on the average relative humidity of each city during the heating season. The humidity category is used to indicate whether the selected city needs humidity adjustment.

[0028] In some implementations of the first aspect of the present application, the method further includes:

[0029] A design reference data table is created, wherein the design reference data includes humidity categories, climate zone classifications, fitting formulas, and second volume heat exchange rates corresponding to each selected city.

[0030] The second aspect of the present application provides a thermochemical heat storage heating system design device, the device comprising:

[0031] An operation data acquisition module is used to obtain the operation data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city. The operation data includes: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, system heat release, and the minimum reactor volume required for system heating;

[0032] A relationship curve building module is used to build a relationship curve corresponding to each selected city based on the operation data. The relationship curve is used to describe the changing relationship between the mass quantity, the maximum return air rate and the heat release of the system;

[0033] A first volume heat exchange rate determination module determines a first volume heat exchange rate for each selected city according to the system heat release of each selected city and the minimum reactor volume required for system heating;

[0034] The climate zone division module is used to divide each selected city into climate zones to obtain multiple climate zone classifications.

[0035] The second heat exchange rate determination module is used to determine the second volume heat exchange rate corresponding to each climate zone classification based on the first volume heat exchange rate of the selected city in each climate zone classification, and to determine the fitting formula corresponding to each climate zone classification based on the relationship curve of the selected city in each climate zone classification, and the fitting formula is used to describe the changing relationship between mass flow and system heat release.

[0036] The third aspect of the present application provides a thermochemical heat storage heating system design device, which includes a memory and a processor, and the processor is used to execute the program stored in the memory and run any thermochemical heat storage heating system design method provided in the first aspect of the present application.

[0037] The fourth aspect of the present application provides a readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the various steps of the method for designing a thermochemical heat storage heating system as provided in any one of the first aspects of the present application are implemented.

[0038] The technical solution provided by this application has the following beneficial effects:

[0039] In the technical solution provided in the present application, first, the operating data of the thermochemical heat storage heating system under the set working conditions of the typical meteorological year of each selected city is obtained, which is used as the operating parameters of the system under different selected city environments. The operating data at least includes: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, the system heat release, and the minimum reactor volume required for system heating. Then, the relationship curve corresponding to each selected city is constructed according to the working condition data, and the relationship curve used to describe the relationship between the mass quantity, the maximum return air rate and the system heat release is obtained to more accurately describe the complex relationship between the above variables. Afterwards, the first volume heat exchange rate of each selected city is determined according to the system heat release of each selected city and the minimum reactor volume required for system heating, so as to further evaluate the heat conversion efficiency of the thermochemical heat storage heating system of each selected city under specific working conditions. Finally, the selected cities were divided into multiple climate zones according to their climate characteristics, and the first volume heat exchange rate of the selected cities in each climate zone was comprehensively considered to obtain a more generally applicable second volume heat exchange rate to evaluate the overall thermal efficiency of the thermochemical heat storage heating system under different climate conditions; at the same time, according to the relationship curves of the selected cities in each climate zone, a fitting formula that can accurately describe the relationship between the mass flow rate and the heat release of the system in the climate zone was extracted. Based on this, the performance of the thermochemical heat storage heating system under different climate conditions is comprehensively evaluated through the second volume heat exchange rate and fitting formula corresponding to the climate zone classification, which helps technicians to select or design the system more targeted when selecting or designing the thermochemical heat storage heating system, so as to obtain a more suitable thermochemical heat storage heating system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of the operation of the thermochemical heat storage heating system provided in the embodiment of the present application;

[0041] Figure 2 A schematic diagram of a flow chart of a method for designing a thermochemical heat storage heating system provided in an embodiment of the present application;

[0042] Figure 3 A schematic flow chart of another method for designing a thermochemical heat storage heating system provided in an embodiment of the present application;

[0043] Figure 4 A schematic flow chart of another method for designing a thermochemical heat storage heating system provided in an embodiment of the present application;

[0044] Figure 5 A control schematic diagram of a simulation model of a thermochemical heat storage heating system provided in an embodiment of the present application;

[0045] Figure 6 A schematic diagram of the application process of the method provided in the embodiment of the present application;

[0046] Figure 7 A schematic diagram of the structure of a heat storage heating system design device provided in an embodiment of the present application;

[0047] Figure 8 A schematic structural diagram of a heat storage heating system design device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0049] The thermochemical heat storage heating system mentioned in the background technology can be found in Figure 1As shown in the figure, the thermochemical heat storage heating system mainly includes related components such as fans, flat plate collectors, open thermochemical reactors and humidity control devices. The process indicated by numbers 1-2 represents an endothermic reaction process, and the process indicated by numbers 3-4-5 represents an exothermic reaction process. In the non-heating season with sufficient sunshine, the outdoor air is heated by the flat plate collector and then passes through the humidity control device to obtain high-temperature dry gas, so that the hydrated salt stored in the thermochemical reactor is dehydrated to absorb heat and store it. In the heating season, when there is a demand for heat indoors, the outdoor low-temperature air passes through the humidity control device, so that the low-temperature humid gas reacts with the hydrated salt in the thermochemical reactor to obtain a higher temperature gas, and then adjusts the humidity to make it suitable for building heating. The obtained high-temperature and low-humidity gas is introduced into the building to meet the heating needs of the building. At the same time, the recovery of unused waste heat in the room is also considered. In this way, the thermochemical heat storage heating system realizes cross-season heat storage and release, which not only effectively utilizes solar energy resources, but also can be flexibly adjusted according to different seasons and climatic conditions, significantly improving heating efficiency and comfort.

[0050] In the above-mentioned thermochemical heat storage and heating system, the thermochemical reactor is the core component of the system, which is used to provide a place for the gas and solid reaction of the heat storage material. Its operating conditions (such as the temperature, humidity and air flow rate of the inlet air) have an important influence on the adsorption, desorption rate and energy efficiency of the reactor. During the heating season, when the inlet air temperature decreases, the humidity increases or the mass flow rate increases, the adsorption exothermic reaction of the hydrated salt in the thermochemical reactor will be accelerated, thereby releasing more heat in the same reaction time. When the thermochemical reactor is used for building heating in the heat storage system, the inlet air temperature and humidity depend on the winter outdoor temperature and humidity of the selected location.

[0051] Given the inherent dynamics of air temperature and humidity and their significant differences between different regions, this characteristic directly leads to the same thermochemical heat storage heating system showing completely different performance in different heating seasons. This dynamic change in performance, especially enhanced by the significant differences in air temperature and humidity between regions, makes the heating effect of the same system in different regions very different.

[0052] For researchers, the above factors pose a huge challenge when it comes to custom-designing thermochemical heat storage heating systems for specific regions. Since it is difficult to accurately predict and quantify key parameters of the system in actual operation in the region, such as heat release, mass flow, etc., the accuracy of design selection and performance estimation is greatly reduced. This uncertainty not only increases the complexity of system design, but may also cause the final system to not match local climate conditions, thereby affecting the overall efficiency and adaptability of the system. Therefore, before the system is built, it is crucial to design or select adaptively.

[0053] In view of this, embodiments of the present application provide a method, device, equipment and readable storage medium for designing a thermochemical heat storage heating system.

[0054] See also Figure 2 As shown, the embodiment of the present application provides a method for designing a thermochemical heat storage heating system, which may specifically include the following steps:

[0055] S201: Obtaining the operating data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city, the operating data including: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, the system heat release, and the minimum reactor volume required for system heating.

[0056] In the technical solution provided in this application, the selected city refers to a city that has a need to install a thermochemical heat storage heating system, which can store heat in the non-heating season and release heat to heat buildings in the heating season.

[0057] The operating data specifically refers to the operating data of the system under the set working conditions in a typical meteorological year, wherein the operating data at least includes: multiple mass flow rates and the maximum return air rate corresponding to various mass flow rates, the system heat release, and the minimum reactor volume required for system heating.

[0058] Mass flow rate refers to the mass of fluid passing through a certain cross section in a pipeline per unit time, usually expressed in kg / h, where the mass flow rate will affect the efficiency of the thermochemical reaction. In one implementation, there are five types of mass flow rates, namely: 65kg / h, 90kg / h, 120kg / h, 144kg / h and 180kg / h. It should be noted that the selection or setting of the mass flow rate can be determined based on actual conditions, and this application does not limit the specific value of the mass flow rate.

[0059] The maximum return air rate refers to the ratio of the maximum return air volume that can be set for the system air supply when the fresh air volume for one person is met, where the system air supply volume is equal to the sum of the fresh air volume and the return air volume. For example, assuming that the fresh air volume for one person is 36kg / h, when the air supply volume for one person is 90kg / h, in order to ensure 36kg / h of fresh air, the maximum return air rate is 60%. Here, the embodiment of the present application sets the corresponding maximum return air rate for various mass flow rates.

[0060] The system heat release refers to the heat released by the thermochemical heat storage heating system at the current mass flow rate, usually expressed in kWh. The minimum reactor volume required for system heating refers to the minimum volume of the reaction medium in the thermochemical reactor consumed by the thermochemical heat storage heating system when releasing the system heat release, usually expressed in m 3 express.

[0061] In some implementations of the embodiments of the present application, the above operating condition data can be obtained through a simulation model of a thermochemical heat storage heating system, as will be described later.

[0062] S202: constructing a relationship curve corresponding to each selected city according to the operation data, where the relationship curve is used to describe the changing relationship between the mass flow rate, the maximum return air rate, and the heat release of the system.

[0063] In an embodiment of the present application, a curve for describing the relationship between the operating data of the thermochemical heat storage heating system is constructed based on the mass flow rate, maximum return air rate and system heat release of each selected city, and a relationship curve for each selected city is obtained. The relationship curve describes the functional relationship between the mass flow rate and the system heat release at the maximum return air rate corresponding to the mass flow rate.

[0064] In order to predict the heat release of the thermochemical heat storage heating system under different working conditions, the present application can obtain a fitting curve that can be used to describe the data change trend by fitting the relationship curve, so as to further clarify the numerical change relationship between mass flow and heat release, thereby providing a more accurate design basis. Among them, the fitting of the relationship curve can be implemented by programming languages ​​such as Python, MATLAB, and Java, which does not affect the implementation of the embodiments of the present application.

[0065] In some implementations of the embodiments of the present application, the system heat release and mass flow rate of each selected city present a quadratic function relationship as shown in the following formula.

[0066] Q = a 1 m 2 +a 2 m+b

[0067] In the formula, Q represents the heat released by the system; m represents the mass flow rate; a 1 、a 2 is the coefficient; b is the intercept.

[0068] It can be understood that by fitting the relationship curve, we can get a 1 、a 2 and the value of b.

[0069] S203: Determine a first volume heat exchange rate for each selected city according to the system heat release of each selected city and the minimum reactor volume required for system heating.

[0070] In the embodiments of the present application, the volumetric heat transfer rate refers to the heat released per unit volume of the reactor per unit time, usually expressed in kWh / m 3 The first volume heat exchange rate refers to the volume heat exchange rate corresponding to the selected city. It should be noted that the present application fixes the volume heat exchange rate of each selected city under different working condition data and keeps it unchanged.

[0071] In some implementations of the present application, the volume heat transfer rate W V Calculated by the following formula:

[0072]

[0073] Where V represents the minimum reactor volume required for system heating during the heating season, and Q represents the amount of heat released by the system.

[0074] In some implementations of the present application, in order to prove the coupling relationship between the system heat release, mass flow rate, and maximum return air rate, the correlation coefficient R of each fitting curve can be further determined. 2 On this basis, further combined with the first volume heat exchange rate obtained in step S203, the fitting data and volume heat exchange rate of some provincial capital cities in China as shown in Table 1 can be obtained.

[0075] Table 1 Fitting data and volume heat transfer rate of some provincial capital cities in China

[0076] Selected cities <![CDATA[a 1 ]]> <![CDATA[a 2 ]]> b <![CDATA[R 2 ]]> <![CDATA[W V (kWh / m 3 )]]> Xining 0.018 11.982 193.715 0.993 374.822 Yinchuan 0.010 14.057 50.401 0.998 421.263 Taiyuan 0.044 6.839 449.752 0.999 396.524 Lhasa 0.041 8.563 272.532 0.999 377.124 Tianjin 0.025 11.967 115.892 0.999 420.773 Beijing 0.015 13.763 74.934 0.999 443.607 Shijiazhuang 0.031 11.112 134.151 0.999 424.059 Jinan 0.027 12.384 75.812 0.999 431.363 Lanzhou -0.040 16.609 -202.523 0.999 389.161 Xi'an -0.041 15.510 -144.169 0.999 428.717 Zhengzhou -0.034 13.476 -67.457 0.999 402.129 Nanjing -0.002 6.862 268.948 0.992 424.947 Hefei 0.008 4.591 392.968 0.997 435.498 Guiyang 0.016 3.232 472.627 0.999 436.446 Shanghai 0.012 4.639 333.548 0.999 434.116 Hangzhou 0.011 4.680 337.154 0.999 426.616 Wuhan 0.014 4.089 386.598 0.999 430.099 Changsha 0.012 4.738 367.138 0.999 451.515 Shanghai 0.021 3.014 418.783 0.999 436.899 Chengdu 0.011 5.297 319.613 0.997 438.537 Chongqing 0.007 6.026 301.221 0.999 427.357 Kunming 0.010 5.476 239.017 0.998 406.060 Fuzhou 0.011 5.378 364.329 0.997 429.890 Nanning 0.011 5.495 416.800 0.996 421.645

[0077] It can be seen from Table 1 above that the correlation coefficients of the selected cities are all above 0.9, which shows that there is a strong coupling relationship between the system heat release, mass flow rate and maximum return air rate.

[0078] S204: Divide each selected city into climate zones to obtain a plurality of climate zone classifications.

[0079] It can also be seen from Table 1 above that some selected cities have similar coefficients and can therefore be further classified and integrated.

[0080] Specifically, the embodiment of the present application classifies each selected city into different climate zones for integration according to the standards of China's building climate zoning.

[0081] Among them, the standard for China's building climate zoning takes into account the temperature, humidity and other climatic conditions of various regions, and divides my country into extremely cold areas, cold areas, hot summer and cold winter areas, mild areas and hot summer and warm winter areas.

[0082] S205: Determine the second volume heat exchange rate corresponding to each climate zone classification based on the first volume heat exchange rate of the selected city in each climate zone classification, and determine the fitting formula corresponding to each climate zone classification based on the relationship curve of the selected city in each climate zone classification, the fitting formula is used to describe the changing relationship between the mass flow rate and the heat release of the system.

[0083] In an embodiment of the present application, the second volume heat exchange rate refers to a heat exchange rate representative of the climate zone obtained by comprehensive analysis of the volume heat exchange rates of selected cities in each climate zone classification, for example, the average, median, weighted average, etc. of each volume heat exchange rate in the climate zone classification.

[0084] It should be noted that the method for determining the second volumetric heat exchange rate can be selected according to actual needs and will not affect the implementation of the embodiments of the present application.

[0085] The fitting formula refers to a mathematical expression for describing the relationship between mass flow and system heat release, which is obtained by integrating the fitted relationship curves of each selected city in the climate zone classification and corresponding to the climate zone classification.

[0086] Here, this application introduces the Chinese building climate zoning to classify the climate zones of some provincial capital cities in China. Combined with the obtained heat release and mass flow relationship curves and volume heat exchange rate of each climate zone, it is more suitable for thermochemical heat storage technology. This method can provide a basis for the design of various types of hydrated salt thermochemical heat storage systems.

[0087] In some implementations of the present application, since the inlet relative humidity will affect the adsorption exothermic reaction of the hydrated salt in the thermochemical reactor during the heating season, the selected cities are divided here according to the average relative humidity of each city during the heating season to determine whether the thermochemical heat storage heating system needs to start the system adjustment device. At this time, Figure 1 The steps shown will further include the following steps:

[0088] The humidity category of each selected city is determined according to the average relative humidity of each city during the heating season, and the humidity category is used to indicate whether the humidity adjustment is required in the selected city.

[0089] Among them, the average relative humidity in the heating season is used to evaluate the relative average humidity of a city under typical climatic conditions in the heating season; based on the average relative humidity in the heating season, cities can be divided into two categories: cities that require humidity regulation and cities that do not require humidity regulation. It can be understood that the thermochemical heat storage heating system in the city that requires humidity regulation needs to start the humidity regulation device during the heating season, while the thermochemical heat storage heating system in the city that does not require humidity regulation does not need to start the humidity regulation device during the heating season.

[0090] In a specific implementation, if the average relative humidity during the heating season is greater than or equal to 50%, it can be considered that it has no effect or little effect on the adsorption exothermic reaction of the hydrated salt in the thermochemical reactor, and thus it can be determined as a city that does not require humidity regulation, while if it is less than 50%, it is considered that it has a great impact on the adsorption exothermic reaction of the hydrated salt or even fails to react smoothly, and thus it is determined as a city that requires humidity regulation;

[0091] In addition, in order to ensure the smooth progress of the exothermic adsorption reaction of the hydrated salt, in cities where humidity regulation is required, the relative humidity of the inlet air is humidified to 80% through a humidity regulating device.

[0092] In some implementations of the embodiments of the present application, in order to facilitate designers to carry out the design work of thermochemical heat storage heating systems in different cities, a design reference data table is provided to designers in the form of table building. At this time, after step S205, the following steps may be further performed:

[0093] A design reference data table is created, wherein the design reference data includes humidity categories, climate zone classifications, fitting formulas, and second volume heat exchange rates corresponding to each selected city.

[0094] Here, relevant personnel only need to refer to the design reference data sheet to quickly estimate the heat release characteristics of the thermochemical heat storage heating system in different cities and climate zones, so as to apply it in subsequent projects.

[0095] In some implementations of the embodiments of the present application, the design reference data table may include design reference data of some provincial capital cities in China as shown in Table 2.

[0096] It should be noted that the correlation coefficient R in Table 2 2 The correlation coefficients for the relationship curves classified for climate zones are shown instead of the correlation coefficients for the relationship curves corresponding to the selected cities.

[0097] Table 2 Design reference data for some provincial capital cities in China

[0098]

[0099] exist Figure 1In the process shown, in the technical solution provided by the present application, first, the operating data of the thermochemical heat storage heating system under the set working conditions of the typical meteorological year of each selected city is obtained, which is used as the operating parameters of the system under different selected city environments. The operating data at least includes: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, the system heat release, and the minimum reactor volume required for system heating. Then, the relationship curve corresponding to each selected city is constructed according to the operating data, and the relationship curve used to describe the relationship between the mass quantity, the maximum return air rate and the system heat release is obtained to more accurately describe the complex relationship between the above variables. Afterwards, the first volume heat exchange rate of each selected city is determined according to the system heat release of each selected city and the minimum reactor volume required for system heating, so as to further evaluate the heat conversion efficiency of the thermochemical heat storage heating system of each selected city under specific working conditions. Finally, the selected cities were divided into multiple climate zones according to their climate characteristics, and the first volume heat exchange rate of the selected cities in each climate zone was comprehensively considered to obtain a more generally applicable second volume heat exchange rate to evaluate the overall thermal efficiency of the thermochemical heat storage heating system under different climate conditions; at the same time, according to the relationship curves of the selected cities in each climate zone, a fitting formula that can accurately describe the relationship between the mass flow rate and the heat release of the system in the climate zone was extracted. Based on this, the performance of the thermochemical heat storage heating system under different climate conditions is comprehensively evaluated through the second volume heat exchange rate and fitting formula corresponding to the climate zone classification, which helps technicians to select or design the system more targeted when selecting or designing the thermochemical heat storage heating system, so as to obtain a more suitable thermochemical heat storage heating system.

[0100] See also Figure 3 As shown, Figure 3 A schematic diagram of a flow chart of another method for designing a thermochemical heat storage heating system provided in the embodiment of the present application, Figure 2 Based on the process shown, the simulation model of the thermochemical heat storage heating system is used to predict the operating data of each selected city, so as to more accurately reflect the performance of the thermochemical heat storage heating system in actual application. Specifically, the operating data can be obtained through the following steps:

[0101] S301: Filter a plurality of selected cities from each city based on the average outdoor temperature during the heating season in a typical meteorological year of each city.

[0102] In the embodiment of the present application, it is determined whether a city has a need to establish a thermochemical heat storage heating system based on the average outdoor temperature of each city in a typical year during the heating season, and the city with the need is selected as the selected city. In some implementations, since cities with too low a temperature are not suitable for using a thermochemical heat storage heating system, and cities with too high a temperature have no heating demand, cities with an average outdoor temperature of greater than or equal to -5 degrees Celsius and less than or equal to 16 degrees Celsius in a typical year during the heating season are selected as selected cities, and cities with an average outdoor temperature of less than -5 degrees Celsius or greater than 16 degrees Celsius in a typical year during the heating season are selected as non-selected cities.

[0103] Based on this, combined with the determination of humidity categories, we can obtain the categories of some provincial capital cities in China as shown in Table 3.

[0104] Table 3 Categories of some provincial capital cities in China

[0105]

[0106] S302: Acquire weather data and static input operation data of each selected city, where the static input operation data includes: multiple mass flow rates and maximum return air rates corresponding to each mass flow rate.

[0107] In the technical solution provided in this application, weather data refers to meteorological data such as temperature, humidity, solar irradiance, etc. of the selected city, and static input operation data refers to the pre-set working condition data of the thermochemical heat storage heating system, and the static input operation data at least includes multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate. Among them, weather data and static input operation data are used as simulation parameters of the model.

[0108] S303: Input weather data and static input operation data into the thermochemical heat storage heating system simulation model to obtain dynamic output operation data, which includes: the system heat release corresponding to each mass flow rate and the minimum reactor volume required for system heating.

[0109] In an embodiment of the present application, dynamic output operating data refers to real-time operating data output by a simulation model of a thermochemical heat storage and heating system under operating conditions set based on weather data and static input operating data, including the real-time heat release and reactor volume consumption of the simulation model of a thermochemical heat storage and heating system at different mass flow rates.

[0110] exist Figure 3In the process shown, first, based on the average outdoor temperature of the heating season in a typical meteorological year of each city, multiple selected cities are screened from each city to determine the cities where the thermochemical heat storage heating system needs to be installed as selected cities; then, the weather data and static input operation data of each selected city are obtained, and the static input operation data include: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, which are used to set the operating conditions of the thermochemical heat storage heating system for simulation; finally, the weather data and the static input operation data are input into the simulation model of the thermochemical heat storage heating system to obtain dynamic output operation data, and the dynamic output operation data include: the system heat release corresponding to each mass flow rate and the minimum reactor volume required for system heating; finally, the simulation results are obtained, and the simulation results can be used to predict the performance of the thermochemical heat storage heating system in the selected city, so as to more accurately reflect the performance in actual applications and provide guidance for design.

[0111] See also Figure 4 As shown, Figure 4 A schematic diagram of a flow chart of another method for designing a thermochemical heat storage heating system provided in the embodiment of the present application, Figure 3 Based on the process shown, weather data and static input operation data are input into the simulation model of the thermochemical heat storage heating system to obtain dynamic output operation data, which may specifically include the following steps:

[0112] S401: Input weather data and static input operation data into the thermochemical heat storage heating system simulation model. The weather data thermochemical heat storage heating system simulation model determines whether the calculation step needs to be executed. The static input operation data thermochemical heat storage heating system simulation model executes the calculation step.

[0113] In the embodiment of the present application, since the thermochemical heat storage heating system releases heat only in the heating season, the thermochemical heat storage heating system simulation model can determine whether it is necessary to execute the calculation steps related to the heat release of the system through weather data, that is, the thermochemical heat storage heating system simulation model will execute the calculation steps related to the heat release of the system only when it is determined that the current season is heating according to weather data. In one implementation, the calculation steps are implemented by MATLAB.

[0114] When it is necessary to perform calculation steps related to system heat release, the static input operation data can be used as calculation parameters of the simulation model.

[0115] It should be noted that the thermochemical heat storage heating system simulation model provided in the embodiment of the present application is not only a simulation model for outputting dynamic output operation data, but a dynamic simulation model for simulating the system operation of the thermochemical heat storage heating system simulation model in the non-heating season and the heating season to predict the system performance.

[0116] In an optional implementation, the present application embodiment uses the transient system simulation tool TRNSYSY and MATLAB to build the following Figure 5 The simulation model of the thermochemical heat storage heating system shown in the figure. Specifically, the thermochemical reactor model is established using MATLAB, and it is called in TRNSYS using the component Type 155 used to realize data transmission and joint simulation between TRNSYS and MATLAB; other components use existing models in TRNSYS. The system controls the start and stop of each component by identifying the control signals of different seasons obtained according to weather data to realize the year-round cycle process of charging in the non-heating season and releasing heat in the heating season. Based on weather data such as weather inlet air temperature and humidity, solar irradiance, and static input operation data such as mass flow, return air rate, solar collector area, inclination, and target building heat load under set working conditions, dynamic output operation data such as system outlet gas temperature, humidity, heat release, system reactor volume consumption, and target building indoor temperature can be obtained.

[0117] The model can be mainly divided into three parts: heat charging module, heat release module and building load simulation module. The heat charging module consists of a fan, a solar collector, a humidity regulator 1, a reactor and related control components. It runs after the signal of the non-heating season is issued, so that the reactor can store the heat obtained by the collector; the heat release module consists of a fan, a reactor, a humidity regulator 2 and related control components. After the signal of the heating season is issued, the reactor releases heat for users to use; the building load module consists of a target building model, surface temperature and related control components. When the heat released by the heat release module is transported to the target building, it is simulated to obtain the indoor temperature under this state.

[0118] It can be seen that the embodiment of the present application has established a heating system that is coupled with a solar collector and can achieve cross-seasonal thermochemical heat storage. Through the combination of solar collectors and thermochemical reactors, the system can efficiently store solar heat in the non-heating season and release the stored heat in the heating season. The joint simulation model established by TRNSYS and MATLAB can simulate the heating conditions in different locations, and obtain more accurate operating data through real-time dynamic feedback with the building model. This method can more accurately reflect the performance of the system in actual applications and provide guidance for design.

[0119] And corresponding to Figure 4 The process shown in the figure can be interpreted as follows for the application of the model:

[0120] The heat charging simulation module is used to simulate the heat storage in the reactor when there is no need to execute the calculation steps. It should be noted that the above-mentioned calculation steps specifically refer to the calculation steps related to the heat release of the system, and the heat charging simulation module is also used to execute the calculation steps related to the heat storage of the system in the non-heating season, that is, to simulate the heat storage in the reactor.

[0121] A heat release simulation module is used to simulate the heat release of the reactor when the calculation step needs to be executed so that the indoor temperature of the building reaches the target temperature; wherein the heat release simulation is performed based on weather data and static input operation data;

[0122] The building load simulation module is used to simulate the indoor temperature of the building according to the output of the heat release simulation module, wherein the output of the heat release simulation module is dynamic output operation data.

[0123] S402: Using a thermochemical heat storage heating system simulation model, dynamic output operation data is calculated based on static input operation data.

[0124] exist Figure 4 In the process shown, weather data and preset operating condition data are input into the thermochemical heat storage heating system simulation model. The weather data thermochemical heat storage heating system simulation model determines whether the calculation steps need to be executed. The static input operating data thermochemical heat storage heating system simulation model executes the calculation steps. Through the thermochemical heat storage heating system simulation model, the dynamic output operating data is calculated according to the static input operating data. The performance of the system is predicted based on the set operating conditions and weather data.

[0125] See also Figure 6 As shown, the embodiments provided in this application can be Figure 6 Provide an overall display.

[0126] First, the embodiment of the present application uses TRNSYS and MATLAB to jointly establish a system dynamic model, which is a simulation model of the thermochemical heat storage heating system. At the same time, the embodiment of the present application selects representative provincial capital cities from multiple provincial capital cities in China as research objects, and formulates corresponding control strategies based on the temperature and humidity data of each city to ensure that the simulation model of the thermochemical heat storage heating system can be applied to different climatic conditions.

[0127] Then, relevant data of each city under different working conditions were collected and recorded, and Python was used for data processing and fitting to obtain the relationship curve between the system heat release, mass flow and maximum return air volume of each city, as well as the volume heat exchange rate. Climate zoning was further introduced to obtain the relationship curve and volume heat exchange rate corresponding to each climate zone. The relationship curve corresponding to the climate zone is specifically a fitting curve used to describe the changing relationship between the mass flow and the system heat release rate.

[0128] Finally, in the application process, a specific target city is selected for system design and optimization; the target city is divided into corresponding climate zones according to its climate characteristics. The heat release required by the thermochemical heat storage heating system in the target city is determined, and the heat exchange rate and volumetric heat exchange rate corresponding to the climate zone are substituted for calculation to obtain the design operating conditions of the system in the target city, which include mass flow, maximum return air rate and required reactor volume.

[0129] In general, the embodiment of the present application is used to design a thermochemical heat storage heating system that adapts to different climate conditions. By combining TRNSYS and MATLAB to establish a dynamic model, collect and process temperature and humidity data of different cities, and use Python to fit and calculate the data, the relationship curves and volume heat exchange rates of each climate zone are finally obtained. These results are applied to the actual target city to determine its design conditions, thereby ensuring that the system can operate efficiently under complex and changeable climate conditions.

[0130] See also Figure 7 The present application embodiment provides a device for designing a thermochemical heat storage heating system, the device comprising:

[0131] The operation data acquisition module 701 is used to acquire the operating data corresponding to each selected city, the operating data including: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate, the system heat release and the minimum reactor volume required for system heating;

[0132] A relationship curve construction module 702 is used to construct a relationship curve corresponding to each selected city according to the working condition data, and to fit each relationship curve to obtain a fitting curve of each selected city, wherein the relationship curve is used to describe the relationship between the mass quantity, the maximum return air rate and the heat release of the system;

[0133] The first volume heat exchange rate determination module 703 determines the first volume heat exchange rate of each selected city according to the system heat release of each selected city and the minimum reactor volume required for system heating;

[0134] The climate zone division module 704 is used to divide each selected city into climate zones to obtain a plurality of climate zone classifications;

[0135] The second heat exchange rate determination module 705 is used to determine the second volume heat exchange rate corresponding to each climate zone classification according to the first volume heat exchange rate of the selected city in each climate zone classification, and to determine the fitting formula corresponding to each climate zone classification according to the fitting curve of the selected city in each climate zone classification, and the fitting formula is used to describe the changing relationship between the mass flow rate and the heat release of the system.

[0136] In some implementations of the embodiments of the present application, the operation data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city is obtained, including:

[0137] Based on the average outdoor temperature during the heating season in a typical meteorological year of each city, a plurality of selected cities are selected from each city;

[0138] Obtain weather data and static input operation data for each selected city, the static input operation data including: multiple mass flow rates and the maximum return air rate corresponding to each mass flow rate;

[0139] Weather data and static input operation data are input into the simulation model of the thermochemical heat storage heating system to obtain dynamic output operation data, which includes: the system heat release corresponding to each mass flow rate and the minimum reactor volume required for system heating.

[0140] In some implementations of the embodiments of the present application, weather data and static input operation data are input into a simulation model of a thermochemical heat storage heating system to obtain dynamic output operation data, including;

[0141] Input weather data and static input operation data into the thermochemical heat storage heating system simulation model, the weather data thermochemical heat storage heating system simulation model determines whether the calculation step needs to be executed, and the static input operation data thermochemical heat storage heating system simulation model executes the calculation step;

[0142] Through the simulation model of the thermochemical heat storage heating system, the dynamic output operation data is calculated according to the static input operation data.

[0143] In some implementations of the embodiments of the present application, the thermochemical heat storage heating system simulation model includes: a heat charging simulation module, a heat releasing simulation module and a building load simulation module;

[0144] A heat charging simulation module is used to simulate the heat storage of the reactor when the calculation steps do not need to be performed;

[0145] A heat release simulation module is used to simulate the heat release of the reactor when the calculation step needs to be executed so that the indoor temperature of the building reaches the target temperature; wherein the heat release simulation is performed based on weather data and static input operation data;

[0146] The building load simulation module is used to simulate the indoor temperature of the building according to the output of the heat release simulation module, wherein the output of the heat release simulation module is dynamic output operation data.

[0147] In some implementations of the embodiments of the present application, the multiple climate zone classifications include:

[0148] Extremely cold areas, cold areas, hot summer and cold winter areas, mild areas, and hot summer and warm winter areas.

[0149] In some implementations of the embodiments of the present application, the method further includes:

[0150] The humidity category of each selected city is determined based on the average relative humidity of each city during the heating season. The humidity category is used to indicate whether the selected city needs humidity adjustment.

[0151] In some implementations of the embodiments of the present application, the method further includes:

[0152] A design reference data table is created, wherein the design reference data includes humidity categories, climate zone classifications, fitting formulas, and second volume heat exchange rates corresponding to each selected city.

[0153] See also Figure 8 As shown, an embodiment of the present application also provides a thermochemical heat storage heating system design device, which includes a memory 801 and a processor 802, and the processor is used to execute the program stored in the memory and run any thermochemical heat storage heating system design method provided in the embodiment of the present application.

[0154] In addition, an embodiment of the present application provides a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the various steps of any method for designing a thermochemical heat storage heating system provided in the embodiment of the present application are implemented.

[0155] Finally, it should be noted that, in the embodiments of the present application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements that are not clearly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements limited by the statement "comprise one..." do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.

[0156] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A design method for a thermochemical heat storage heating system, characterized in that: The method comprises: Obtaining the operating data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city, the operating data including: a plurality of mass flow rates and the maximum return air rate corresponding to each of the mass flow rates, the system heat release, and the minimum reactor volume required for system heating; Constructing a relationship curve corresponding to each of the selected cities according to the operation data, wherein the relationship curve is used to describe the relationship between the mass quantity, the maximum return air rate, and the heat release of the system; Determining a first volume heat exchange rate for each of the selected cities according to the system heat release of each of the selected cities and the minimum reactor volume required for the system to supply heat; Dividing each of the selected cities into climate zones to obtain a plurality of climate zone classifications; Based on the first volume heat exchange rate of the selected city in each of the climate zone classifications, the second volume heat exchange rate corresponding to each of the climate zone classifications is determined, and based on the relationship curve of the selected city in each of the climate zone classifications, the fitting formula corresponding to each of the climate zone classifications is determined, and the fitting formula is used to describe the relationship between the mass flow rate and the heat release of the system.

2. The method according to claim 1, characterized in that: The obtaining of the operating data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city includes: Based on the average outdoor temperature during the heating season in a typical meteorological year of each city, selecting a plurality of selected cities from each of the cities; Acquire weather data and static input operation data of each selected city, wherein the static input operation data includes: a plurality of mass flow rates and the maximum return air rate corresponding to each mass flow rate; The weather data and the static input operation data are input into the simulation model of the thermochemical heat storage heating system to obtain dynamic output operation data, wherein the dynamic output operation data includes: the heat release of the system corresponding to each mass flow rate and the minimum reactor volume required for the system heating.

3. The method according to claim 2, characterized in that The step of inputting the weather data and the static input operation data into the thermochemical heat storage heating system simulation model to obtain dynamic output operation data includes: Input the weather data and the static input operation data into the thermochemical heat storage and heating system simulation model, wherein the weather data is used by the thermochemical heat storage and heating system simulation model to determine whether a calculation step needs to be performed, and the static input operation data is used by the thermochemical heat storage and heating system simulation model to perform the calculation step; The dynamic output operation data is calculated based on the static input operation data through the thermochemical heat storage heating system simulation model.

4. The method according to claim 3, characterized in that The simulation model of the thermochemical heat storage heating system includes: a heat charging simulation module, a heat releasing simulation module and a building load simulation module; The heat charging simulation module is used to simulate the heat storage of the reactor when the calculation step does not need to be performed; The heat release simulation module is used to simulate the release of heat from the reactor when the calculation step needs to be performed, so that the indoor temperature of the building reaches the target temperature; wherein the heat release simulation is performed based on the weather data and the static input operation data; The building load simulation module is used to simulate the indoor temperature of the building according to the output of the heat release simulation module, wherein the output of the heat release simulation module is the dynamic output operation data.

5. The method according to claim 1, characterized in that The plurality of climate zone classifications include: extremely cold regions, cold regions, hot summer and cold winter regions, temperate regions, and hot summer and warm winter regions.

6. The method according to claim 1, characterized in that The method further comprises: The humidity category of each selected city is determined according to the average relative humidity of each city during the heating season, and the humidity category is used to indicate whether the humidity of the selected city needs to be adjusted.

7. The method according to claim 6, characterized in that The method further comprises: A design reference data table is created, wherein the design reference data includes the humidity category, the climate zone classification, the fitting formula, and the second volume heat exchange rate corresponding to each of the selected cities.

8. A design device for a thermochemical heat storage heating system, characterized in that: The device comprises: An operation data acquisition module is used to acquire the operation data of the thermochemical heat storage heating system under the set working conditions of a typical meteorological year in each selected city, wherein the operation data includes: a plurality of mass flow rates and the maximum return air rate corresponding to each of the mass flow rates, the system heat release, and the minimum reactor volume required for system heating; A relationship curve construction module, used for constructing a relationship curve corresponding to each selected city according to the operation data, wherein the relationship curve is used for describing the relationship between the mass quantity, the maximum return air rate and the heat release of the system; A first volume heat exchange rate determination module, which determines a first volume heat exchange rate of each of the selected cities according to the system heat release of each of the selected cities and the minimum reactor volume required for the system to supply heat; A climate zone division module, used for dividing each of the selected cities into climate zones to obtain a plurality of climate zone classifications; The second heat exchange rate determination module is used to determine the second volume heat exchange rate corresponding to each climate zone classification according to the first volume heat exchange rate of the selected city in each climate zone classification, and to determine the fitting formula corresponding to each climate zone classification according to the relationship curve of the selected city in each climate zone classification, wherein the fitting formula is used to describe the relationship between the mass flow rate and the heat release of the system.

9. A thermochemical heat storage heating system design device, characterized in that: The device includes a memory and a processor, and the processor is used to execute the program stored in the memory to run the thermochemical heat storage heating system design method according to any one of claims 1 to 7.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method for designing a thermochemical heat storage heating system according to any one of claims 1 to 7 is implemented.

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