Solar heating system design method and device, electronic equipment and storage medium

Abstract

The invention relates to a solar heat supply system design method and device, electronic equipment and a storage medium, and the method comprises the steps that heat collection characteristic parameters are determined, and a heat collection characteristic parameter set containing a plurality of heat collection characteristic parameters is obtained; determining energy storage characteristic parameters, and obtaining an energy storage characteristic parameter set comprising a plurality of energy storage characteristic parameters; obtaining a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set; determining a performance combination corresponding to the feature parameter combinations based on the feature parameter combinations and the heat income and expenditure data obtained hourly; determining an annual cost value meeting functional and economic standards and reaching a single solar energy assurance rate, obtaining a candidate characteristic parameter combination corresponding to each solar energy assurance rate, and obtaining a target characteristic parameter combination corresponding to a target solar energy assurance rate; based on the target characteristic parameter combination and the building area, the heat collector area and the water tank volume are determined, and the accuracy of determining the heat collector area and the water tank volume is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of heating systems, and in particular to a solar heating system design method and device, electronic equipment and storage medium. Background Art

[0002] With the introduction of the sustainable development strategy, environmental protection and resource conservation have become new issues for mankind. Solar energy, as a clean energy source, has been favored by many fields. Among them, solar heating systems have absolute advantages in environmental protection and energy conservation compared with heating systems based on other energy sources.

[0003] The design of a solar heating system is a complex task, especially when it comes to balancing the dual requirements of economy and functionality. It takes a lot of manpower and time to reasonably design the collector area and water tank volume and match the two.

[0004] Currently, commonly used design methods can be divided into two categories: one is a design method based on relationships, and the other is a design method based on system simulation. Both of these methods have many shortcomings.

[0005] Design methods based on relationships (such as the F-diagram method and the φ-F-diagram method) greatly simplify the system. For example, the F-diagram method assumes that the collector heat loss and the daily average solar irradiance are constants, which is quite different from the actual dynamic characteristics of the system. In addition, such methods use a reference system to establish a relationship between irradiation and load data. The deviation between the designed system and the reference system will also affect the accuracy of the design results.

[0006] The simulation-based method usually uses system simulation software such as TRNSYS and POLOSUN to build a system model and simulate the thermal performance and economy of the system under different design parameters. The optimal system design obtained through this type of method is based on a large number of case comparisons. Therefore, this type of method not only has a large workload and high calculation time requirements, but also requires the input of many system design parameters, involving water pumps, heat exchangers, pipelines and other aspects. Before the two key parameters of the collector area and the volume of the hot water storage tank are determined, it is difficult to accurately obtain all the design parameters. In addition, in the absence of professional knowledge, designers cannot determine the accurate calculation range.

[0007] It can be seen that neither of these two methods can efficiently and accurately design a solar heating system. Summary of the invention

[0008] In view of this, the present disclosure proposes a design scheme for a solar heating system.

[0009] According to one aspect of the present disclosure, a solar energy heating system design method is provided for designing a heating system, comprising: determining a heat collection characteristic parameter characterizing the ratio of a building area to a collector area, and obtaining a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters; determining an energy storage characteristic parameter characterizing the ratio of a collector area to a water tank volume, and obtaining an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters; obtaining a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter; determining a performance combination corresponding to the characteristic parameter combination based on each of the characteristic parameter combinations and heat balance data acquired hourly, and obtaining a plurality of performance combinations, wherein a single performance combination includes a solar energy guarantee rate and an annual cost value; determining an annual cost value that meets functionality and economic standards and reaches a single solar energy guarantee rate, and obtaining candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtaining a target characteristic parameter combination corresponding to a target solar energy guarantee rate; determining a collector area and a water tank volume based on the target characteristic parameter combination and a building area.

[0010] In one possible implementation, the heating system includes an overheating prevention system, and the determination of the annual cost value that meets the functionality and economy standards and reaches a single solar energy guarantee rate to obtain candidate feature parameter combinations corresponding to each solar energy guarantee rate, and to obtain a target feature parameter combination corresponding to the target solar energy guarantee rate, includes: determining the feature parameter combination corresponding to the performance combination with the same solar energy guarantee rate as a first parameter set to obtain multiple first parameter sets; determining the feature parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set to obtain multiple second parameter sets; determining the feature parameter combination that belongs to both the first parameter set and the second parameter set to obtain multiple high-quality configuration feature combinations, and using the multiple high-quality configuration feature combinations as multiple candidate feature parameter combinations.

[0011] In a possible implementation, the heating system does not include an anti-overheating system, and the determining of the annual cost value that meets the functional and economic standards and reaches a single solar energy guarantee rate to obtain candidate feature parameter combinations corresponding to each solar energy guarantee rate, and to obtain a target feature parameter combination corresponding to a target solar energy guarantee rate, includes: determining the feature parameter combination corresponding to the performance combination with the same solar energy guarantee rate as a first parameter set to obtain a plurality of first parameter sets; determining the feature parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set to obtain a plurality of second parameter sets; determining the feature parameter combination that belongs to both the first parameter set and the second parameter set to obtain a plurality of high-quality configuration feature combinations; determining the feature parameter combination that includes the minimum annual cost value corresponding to each solar energy guarantee rate under the condition that the amount of abandoned heat in the entire heating season is zero and each solar energy guarantee rate is reached to obtain a plurality of anti-overheating feature combinations; for the anti-overheating feature combination and the high-quality configuration feature combination that include the same heat collection feature parameter, comparing the energy storage feature parameters included in each of them, and using the anti-overheating feature combination or the high-quality configuration feature combination that includes the energy storage feature parameter with a larger value as a candidate feature parameter combination to obtain a plurality of the candidate feature parameter combinations.

[0012] In a possible implementation, in a first coordinate system in which the horizontal axis represents the thermal collection characteristic parameters and the vertical axis represents the energy storage characteristic parameters, the first parameter set is the solar energy guarantee rate contour line, and the second parameter set is the annual cost value contour line, and the characteristic parameter combination belonging to both the first parameter set and the second parameter set is determined to obtain multiple high-quality configuration characteristic combinations, including: determining a first characteristic parameter combination represented by the intersection point of a single solar energy guarantee rate contour line and a single annual cost value contour line to obtain multiple first characteristic parameter combinations; and using multiple first characteristic parameter combinations as the multiple high-quality configuration characteristic combinations.

[0013] In a possible implementation, the obtaining of multiple characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set includes: performing a Cartesian multiplication operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set to obtain the multiple characteristic parameter combinations.

[0014] In a possible implementation, the method further includes: constructing a first model with the solar energy guarantee rate as an independent variable and the net annual value as a dependent variable, and using the first model to determine the target solar energy guarantee rate for the purpose of maximizing the net annual value.

[0015] In a possible implementation, the target characteristic parameter combination includes: a target heat collection characteristic parameter and a target energy storage characteristic parameter, and determining the collector area and the water tank volume based on the target characteristic parameter combination and the building area includes: obtaining the collector area to be configured under the building area based on the target heat collection characteristic parameter and the building area; and obtaining the water tank volume to be configured under the collector area based on the collector area and the target energy storage characteristic parameter.

[0016] According to another aspect of the present disclosure, there is provided a solar heating system design device, comprising:

[0017] A heat collection characteristic parameter determination unit is used to determine a heat collection characteristic parameter representing the ratio of the building area to the collector area, and obtain a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters;

[0018] An energy storage characteristic parameter determination unit is used to determine an energy storage characteristic parameter characterizing the ratio of the collector area to the water tank volume, and obtain an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters;

[0019] A characteristic parameter combination determining unit, used to obtain a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter;

[0020] A performance combination determination unit, for determining a performance combination corresponding to a characteristic parameter combination based on each characteristic parameter combination and the heat balance data acquired hourly, to obtain a plurality of performance combinations, wherein a single performance combination includes a solar energy guarantee rate and an annual cost value;

[0021] a target characteristic parameter combination determination unit, for determining an annual cost value that satisfies the functional and economic standards and reaches a single solar energy guarantee rate, obtaining candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtaining a target characteristic parameter combination corresponding to a target solar energy guarantee rate;

[0022] The collector area and water tank volume determination unit is used to determine the collector area and water tank volume based on the target characteristic parameter combination and the building area.

[0023] In a possible implementation, the heating system includes an overheating prevention system, and the target characteristic parameter combination determination unit includes:

[0024] A first parameter set determination unit, configured to determine a characteristic parameter combination corresponding to a performance combination with the same solar energy guarantee rate as a first parameter set, and obtain a plurality of first parameter sets;

[0025] A second parameter set determination unit, used to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set, to obtain a plurality of second parameter sets;

[0026] The first candidate feature parameter combination determination unit is used to determine a feature parameter combination that belongs to both the first parameter set and the second parameter set, obtain a plurality of high-quality configuration feature combinations, and use the plurality of high-quality configuration feature combinations as the plurality of candidate feature parameter combinations.

[0027] In a possible implementation, the heating system does not include an overheating prevention system, and the target characteristic parameter combination determination unit includes:

[0028] A first parameter set determination unit, configured to determine a characteristic parameter combination corresponding to a performance combination with the same solar energy guarantee rate as a first parameter set, and obtain a plurality of first parameter sets;

[0029] A second parameter set determination unit, used to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set, to obtain a plurality of second parameter sets;

[0030] A high-quality configuration feature combination determination unit, used to determine a feature parameter combination that belongs to both the first parameter set and the second parameter set, to obtain a plurality of high-quality configuration feature combinations;

[0031] An anti-overheating feature combination determination unit is used to determine a feature parameter combination including a minimum annual cost value corresponding to each solar energy guarantee rate under the condition that the amount of abandoned heat in the entire heating season is zero and each solar energy guarantee rate is reached, so as to obtain a plurality of anti-overheating feature combinations;

[0032] The second candidate characteristic parameter combination determination unit is used to compare the energy storage characteristic parameters contained in the anti-overheating feature combination and the high-quality configuration feature combination that contain the same heat collection characteristic parameter, and use the anti-overheating feature combination or the high-quality configuration feature combination that contains the energy storage characteristic parameter with a larger numerical value as a candidate characteristic parameter combination, to obtain a plurality of the candidate characteristic parameter combinations.

[0033] In a possible implementation, in a first coordinate system where the horizontal axis represents the heat collection characteristic parameter and the vertical axis represents the energy storage characteristic parameter, the first parameter set is a solar energy guarantee rate contour line, the second parameter set is a cost annual value contour line, and the first candidate characteristic parameter combination determination unit is further used to:

[0034] Determine a first characteristic parameter combination represented by a tangent point between a single solar energy guarantee rate contour line and a single cost annual value contour line, and obtain a plurality of first characteristic parameter combinations;

[0035] A plurality of first feature parameters are combined as the plurality of high-quality configuration feature combinations.

[0036] In a possible implementation manner, the characteristic parameter combination determination unit is further used to:

[0037] The plurality of characteristic parameter combinations are obtained by performing a Cartesian multiplication operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set.

[0038] In a possible implementation manner, the device further includes:

[0039] The first model building unit is used to build a first model with the solar energy guarantee rate as an independent variable and the net annual value as a dependent variable.

[0040] The target solar energy guarantee rate determination unit is used to determine the target solar energy guarantee rate by using the first model to maximize the net annual value.

[0041] In a possible implementation, the target characteristic parameter combination includes: a target heat collection characteristic parameter and a target energy storage characteristic parameter, and the collector area and water tank volume determination unit is used to:

[0042] Based on the target heat collection characteristic parameter and the building area, obtaining the collector area to be configured under the building area;

[0043] Based on the collector area and the target energy storage characteristic parameters, the volume of the water tank that should be configured under the collector area is obtained.

[0044] According to another aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0045] According to another aspect of the present disclosure, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored, wherein the computer program instructions implement the above method when executed by a processor.

[0046] According to another aspect of the present disclosure, a computer program product is provided, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0047] In the disclosed embodiment, the collector area and water tank volume that match each other and meet the economic and functional requirements are determined and converted into a target characteristic parameter combination. The solar energy guarantee rate that characterizes the functional level of the solar heating system and the annual cost value that characterizes the economic performance of the solar heating system are used to form a performance combination, and the performance combination corresponds to the characteristic parameter combination. The solar energy guarantee rate and the annual cost value in the performance combination are related to the collector area and the water tank volume. Thus, the target characteristic parameter combination that meets the functional and economic requirements is determined, that is, the collector area and water tank volume that meet the functional and economic requirements and match each other corresponding to the target characteristic parameter combination can be determined. This method requires a small amount of data, and does not need to establish a heating system model, and the efficiency of determining the collector area and water tank volume is high. Moreover, there is no need to artificially assume data, which improves the accuracy of determining the collector area and water tank volume; and the hourly measured data is used to reduce the deviation between the theoretical value of the determined collector area and water tank volume and the actual demand, further improving the accuracy.

[0048] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0050] Figure 1 A schematic flow chart of a solar heating system design method provided in an embodiment of the present disclosure.

[0051] Figure 2 A schematic diagram of the first coordinate system and solar energy guarantee rate contour lines provided in an embodiment of the present disclosure.

[0052] Figure 3 A schematic diagram of the annual cost contour lines provided for an embodiment of the present disclosure.

[0053] Figure 4 A schematic diagram of the tangency and tangency points of the solar energy guarantee rate contour line and the cost annual value contour line provided in an embodiment of the present disclosure.

[0054] Figure 5 A schematic diagram of the structure of a solar heating system design device provided in an embodiment of the present disclosure.

[0055] Figure 6 A schematic diagram of the structure of an electronic device designed for a solar heating system provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0056] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0057] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0058] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0059] Figure 1 The following is a flow chart of a solar heating system design method provided in an embodiment of the present disclosure. Figure 1 As shown, the method includes:

[0060] S11, determining a heat collection characteristic parameter that characterizes the ratio of the building area to the collector area, and obtaining a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters.

[0061] The heat collection characteristic parameter can represent the ratio of the building area to the collector area. For example, it can represent the collector area configured per unit building area; or it can represent the building area heated by a unit collector area. For example, or or Wherein, RAA represents the heat collection characteristic parameter, AC represents the collector area, AH represents the building area, and n is a coefficient. The embodiment of the present disclosure does not limit the expression form of the heat collection characteristic parameter.

[0062] The heat collection characteristic parameters in the heat collection characteristic parameter set have the same expression form but different values. The values ​​of the heat collection characteristic parameters in the heat collection characteristic parameter set can cover a preset first threshold interval. Exemplarily, the first value interval can be [0, 1], and the heat collection characteristic parameter set can be an arithmetic progression with 0.01 as the first term and a tolerance of 0.01. Each term in the arithmetic progression is a heat collection characteristic parameter. For ease of understanding, formula (1) is used to represent the heat collection characteristic parameter set.

[0063] RAA a =0.01+(a-1)×0.01 (1)

[0064] Among them, RAA aIt represents the ath heat collection characteristic parameter in the heat collection characteristic set, where a represents the sequence number of the heat collection characteristic parameter, 1≤a≤100.

[0065] S12, determining an energy storage characteristic parameter characterizing the ratio of the collector area to the water tank volume, and obtaining an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters.

[0066] The energy storage characteristic parameter can represent the ratio of the collector area to the water tank volume. For example, it can represent the volume of the water tank that stores the heat generated by the unit collector area; or it can represent the area of ​​the collector from which the heat stored per unit water tank volume comes. For example, or or Wherein, RVA represents the energy storage characteristic parameter, AC represents the collector area, VS represents the volume of the hot water storage tank, and n is a coefficient. The embodiment of the present disclosure does not limit the expression form of the energy storage characteristic parameter.

[0067] The energy storage characteristic parameters in the energy storage characteristic parameter set have the same expression form and different values. The values ​​of the energy storage characteristic parameters in the energy storage characteristic parameter set can cover the preset second threshold interval. Exemplarily, the second value interval can be [0, 1000], and the energy storage characteristic parameter set can be an arithmetic progression with 10 as the first term and a tolerance of 10. The terms in the arithmetic progression are the energy storage characteristic parameters. For ease of understanding, formula (2) is used to represent the energy storage characteristic parameter set.

[0068] RVA b =0.01+(b-1)×0.01 (2)

[0069] Among them, RVA b represents the bth energy storage characteristic parameter in the energy storage characteristic parameter set, b represents the sequence number of the energy storage characteristic parameter, 1≤b≤1000.

[0070] S13, based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, a plurality of characteristic parameter combinations are obtained, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter.

[0071] In the embodiments of the present disclosure, the heat collection characteristic parameters in the heat collection characteristic parameter set and the energy storage characteristic parameters in the energy storage characteristic parameter set can be combined to obtain a plurality of characteristic parameter combinations. For example, the heat collection characteristic parameters can be extracted from the heat collection characteristic parameter set according to the first tolerance, and the energy storage characteristic parameters can be extracted from the energy storage characteristic parameter set according to the second tolerance. The values ​​of the extracted heat collection characteristic parameters can cover the first value interval, and the values ​​of the extracted energy storage characteristic parameters can cover the second value interval. Then, the extracted heat collection characteristic parameters are combined with the extracted energy storage characteristic parameters to obtain a plurality of characteristic parameter combinations. A single characteristic parameter combination can include a heat collection characteristic parameter and an energy storage characteristic parameter. The above is only an example, and the embodiments of the present disclosure do not limit the combination of the first tolerance, the second tolerance, the extracted heat collection characteristic parameters, and the extracted energy storage characteristic parameters.

[0072] S14, based on each of the characteristic parameter combinations and the heat balance data obtained hourly, determine the performance combination corresponding to the characteristic parameter combination to obtain multiple performance combinations, and a single performance combination includes a solar energy guarantee rate and an annual cost value.

[0073] The heat balance data may include: outdoor dry bulb temperature, total irradiance of the collector installation slope, and heat load of the building served by the heating system in the present disclosure. Among them, the outdoor dry bulb temperature and the total irradiance of the collector installation slope can be measured values, or fitted values ​​can be generated using software. The heat load of the building can be generated using simulation software. The time step can be set and the heat balance data can be obtained according to the time step. For example, the time step can be 60 seconds. Then, the heat balance data can be obtained every 60 seconds. The heat balance data obtained can cover the entire heating season. Therefore, the number of time steps can be the ratio of the duration of the heating season to the time step.

[0074] The performance combination may include a solar energy guarantee rate and an annual cost value. The solar energy guarantee rates in some of the multiple performance combinations may be the same. The annual cost values ​​in some of the multiple performance combinations may be the same.

[0075] The solar energy guarantee rate can be obtained based on the collector area and the heat balance data obtained hourly. The annual cost value can be obtained based on the collector area and the water tank volume. The collector area and the water tank volume are both related to the characteristic parameter combination. Therefore, a single characteristic parameter combination and the heat balance data obtained hourly can be used to obtain a single performance combination. For ease of understanding, the following introduces the calculation method of the solar energy guarantee rate and the annual cost value through formulas (2)-(7).

[0076]

[0077] Among them, SF represents the solar energy guarantee rate, Nt is the number of time steps in a complete heating season, represents the heat supply of the auxiliary heat source corresponding to the i-th time step, represents the heat load of the building corresponding to the i-th time step.

[0078]

[0079] Among them, T S (i) represents the average temperature of the working fluid in the water tank at the i-th time step, T S (i-1) represents the average temperature of the working fluid in the water tank at the i-1th time step, T CS Indicates the heating temperature setting value, for example: T CS The value is 45 degrees Celsius.

[0080]

[0081] in, represents the heat collected by the collector corresponding to the i-th time step, represents the heat loss rate of the water tank corresponding to the i-th time step, Δτ is the time step, (mC P ) S Represents the working fluid mass m and heat capacity C in the water tank P The product of .

[0082]

[0083] Among them, A C Represents the collector area, I T (i) represents the total irradiance of the collector installation slope at the i-th time step, F R (i) represents the heat transfer factor of the collector at the i-th time step, U L Represents the comprehensive heat loss coefficient of the collector, T C,in (i) represents the collector water inlet temperature at the i-th time step, T amb (i) represents the outdoor dry-bulb temperature at the i-th time step, + means that only the positive heat collection value is considered in the calculation process, and the heat collection value is 0 when the heat collection value is negative.

[0084]

[0085] Among them, (UA) S Indicates the heat loss coefficient of the water tank, T e Indicates the temperature of the environment where the water tank is located, for example: T e Can be set to 18 degrees Celsius.

[0086]

[0087] TAC represents the annual cost per unit heating area, C C Indicates the cost per unit area of ​​the collector, C s Indicates the cost per unit volume of the water tank, C R represents the initial investment cost coefficient of the auxiliary heat source system, R represents the maximum heating power of the auxiliary heat source system, CRF C Capital Recovery Factor, CRF, for Heating Systems aux represents the capital recovery factor of the auxiliary heat source system, Q L represents the total heat load of the entire heating season, C F Indicates the auxiliary heat source price, (CV) F Indicates the calorific value of auxiliary energy, η aux Efficiency of auxiliary heat source system.

[0088] The calculation process of the solar energy guarantee rate and the annual cost value is not the focus of this disclosure, and the calculation method of the solar energy guarantee rate and the annual cost value is not limited in this disclosure.

[0089] S15, determining the annual cost value that meets the functional and economic standards and reaches a single solar energy guarantee rate, obtaining candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtaining a target characteristic parameter combination corresponding to the target solar energy guarantee rate.

[0090] The performance combination determined above may correspond to multiple solar energy guarantee rates. The number of solar energy guarantee rates may be less than the number of performance combinations. Each solar energy guarantee rate may correspond to one or more performance combinations. Each solar energy guarantee rate may correspond to one or more annual cost values. For a single solar energy guarantee rate, an annual cost value that meets the functional and economic standards and reaches the single solar energy guarantee rate may be determined. The single solar energy guarantee rate and the determined annual cost value that meets the functional and economic standards and reaches the single solar energy guarantee rate may constitute a candidate feature parameter combination. Thus, for multiple solar energy guarantee rates, multiple candidate feature parameter combinations may be obtained. Each solar energy guarantee rate may correspond to a candidate feature parameter combination.

[0091] In the embodiment of the present disclosure, the target solar energy guarantee rate can be manually specified or obtained by calculation, so that the candidate characteristic parameter combination including the target solar energy guarantee rate can be determined as the target characteristic parameter combination. The target characteristic parameter combination can include: target heat collection characteristic parameters and target energy storage characteristic parameters.

[0092] S16, determining the collector area and water tank volume based on the target characteristic parameter combination and the building area.

[0093] The heat collection characteristic parameters and energy storage characteristic parameters are related to the collector area, building area and water tank capacity. Therefore, when the target characteristic parameter combination is determined and the building area is known, the collector area and water tank capacity can be determined.

[0094] In the disclosed embodiment, the collector area and water tank volume that match each other and meet the economic and functional requirements are determined and converted into a target characteristic parameter combination. The solar energy guarantee rate that characterizes the functional level of the solar heating system and the annual cost value that characterizes the economic performance of the solar heating system are used to form a performance combination, and the performance combination corresponds to the characteristic parameter combination. The solar energy guarantee rate and the annual cost value in the performance combination are related to the collector area and the water tank volume. Thus, the target characteristic parameter combination that meets the functional and economic requirements is determined, that is, the collector area and water tank volume that meet the functional and economic requirements and match each other corresponding to the target characteristic parameter combination can be determined. This method requires a small amount of data, and does not need to establish a heating system model, and the efficiency of determining the collector area and water tank volume is high. Moreover, there is no need to artificially assume data, which improves the accuracy of determining the collector area and water tank volume; and the hourly measured data is used to reduce the deviation between the theoretical value of the determined collector area and water tank volume and the actual demand, further improving the accuracy.

[0095] In one possible implementation, the heating system includes an overheating prevention system, and the determination of the annual cost value that meets the functionality and economy standards and reaches a single solar energy guarantee rate to obtain candidate feature parameter combinations corresponding to each solar energy guarantee rate, and to obtain a target feature parameter combination corresponding to the target solar energy guarantee rate, includes: determining the feature parameter combination corresponding to the performance combination with the same solar energy guarantee rate as a first parameter set to obtain multiple first parameter sets; determining the feature parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set to obtain multiple second parameter sets; determining the feature parameter combination that belongs to both the first parameter set and the second parameter set to obtain multiple high-quality configuration feature combinations, and using the multiple high-quality configuration feature combinations as multiple candidate feature parameter combinations.

[0096] The first parameter set may include multiple characteristic parameter combinations. The characteristic parameter combinations belonging to the same first parameter set have the same solar energy guarantee rate in the corresponding performance combination. The number of solar energy guarantee rates may be the same as the number of the first parameter set. The solar energy guarantee rate corresponds to the first parameter set one by one. Some of the characteristic parameter combinations among the multiple characteristic parameter combinations determined in S13 belong to the first parameter set.

[0097] The second parameter set may include multiple characteristic parameter combinations. The characteristic parameter combinations belonging to the same second parameter set have the same annual cost value in the corresponding performance combination. The number of annual cost values ​​may be the same as the number of second parameter sets. The annual cost value corresponds to the second parameter set one by one. Some of the characteristic parameter combinations among the multiple characteristic parameter combinations determined in S13 belong to the second parameter set.

[0098] In fact, the first parameter set is to screen the multiple characteristic parameter combinations determined in S13, and screen out the characteristic parameter combinations with equal solar energy guarantee rates in the corresponding performance combinations as the first parameter set. The second parameter set is to screen the multiple characteristic parameter combinations determined in S13, and screen out the characteristic parameter combinations with equal annual cost values ​​in the corresponding performance combinations as the second parameter set.

[0099] For ease of understanding, the solar energy guarantee rate corresponding to the first parameter set to which the high-quality configuration feature combination belongs can be named the first solar energy guarantee rate. The high-quality configuration feature combination can be a feature parameter combination that minimizes the annual cost of the heating system while satisfying the first solar energy guarantee rate.

[0100] The number of solar energy guarantee rates may be the same as the number of high-quality configuration feature combinations. The solar energy guarantee rates may correspond one-to-one with the high-quality configuration feature combinations. The number of solar energy guarantee rates may be the same as the number of candidate feature parameter combinations. The solar energy guarantee rates may correspond one-to-one with the candidate feature parameter combinations. If the heating system includes an overheating protection system, the candidate feature parameter combination may minimize the annual cost of the heating system while satisfying its corresponding solar energy guarantee rate. Therefore, the candidate feature combination may enable the heating system to meet the functional and economic requirements.

[0101] In the disclosed embodiment, the characteristic parameters can be screened based on the solar energy guarantee rate and the annual cost value to obtain the first parameter set and the second parameter set. The characteristic parameter combination belonging to both the first parameter set and the second parameter set is taken as the high-quality configuration characteristic combination, and then multiple candidate characteristic combinations are determined when the heating system includes an overheating prevention system, thereby improving the efficiency of determining the candidate characteristic combinations.

[0102] In a possible implementation, the heating system does not include an anti-overheating system, and the determining of the annual cost value that meets the functional and economic standards and reaches a single solar energy guarantee rate to obtain candidate feature parameter combinations corresponding to each solar energy guarantee rate, and to obtain a target feature parameter combination corresponding to a target solar energy guarantee rate, includes: determining the feature parameter combination corresponding to the performance combination with the same solar energy guarantee rate as a first parameter set to obtain a plurality of first parameter sets; determining the feature parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set to obtain a plurality of second parameter sets; determining the feature parameter combination that belongs to both the first parameter set and the second parameter set to obtain a plurality of high-quality configuration feature combinations; determining the feature parameter combination that includes the minimum annual cost value corresponding to each solar energy guarantee rate under the condition that the amount of abandoned heat in the entire heating season is zero and each solar energy guarantee rate is reached to obtain a plurality of anti-overheating feature combinations; for the anti-overheating feature combination and the high-quality configuration feature combination that include the same heat collection feature parameter, comparing the energy storage feature parameters included in each of them, and using the anti-overheating feature combination or the high-quality configuration feature combination that includes the energy storage feature parameter with a larger value as a candidate feature parameter combination to obtain a plurality of the candidate feature parameter combinations.

[0103] For ease of understanding, the following introduces the calculation method of solar energy guarantee rate and annual cost value through formulas (8)-(10).

[0104]

[0105] Among them, Q REJECT It represents the amount of heat wasted by the heating system during the entire heating season. represents the abandoned heat corresponding to the i-th time step.

[0106]

[0107] in, Represents the heat supply of the water tank corresponding to the i-th time step.

[0108]

[0109] The calculation process of the amount of heat wasted by the heating system during the entire heating season is not a part that is emphasized in this disclosure, and the method for calculating the amount of heat wasted by the heating system during the entire heating season is not limited in this disclosure.

[0110] When determining the amount of heat abandoned by the heating system throughout the heating season, the calculation of the temperature of the water tank and the amount of heat collected by the collector are involved. Therefore, the amount of heat abandoned by the heating system throughout the heating season is related to the heat collection characteristic parameters and / or the energy storage characteristic parameters. Then, the amount of heat abandoned for the entire heating season can be set to zero, and when a single solar energy guarantee rate is achieved, at least one characteristic parameter combination corresponding to the single solar energy guarantee rate is determined; then, from the at least one characteristic parameter combination, a characteristic parameter combination containing the minimum energy storage characteristic parameter is selected. For ease of description, this selected characteristic parameter combination is named the anti-overheating characteristic combination. Each solar energy guarantee rate can correspond to an anti-overheating characteristic combination. In this way, multiple anti-overheating characteristic combinations can be obtained.

[0111] As mentioned above, for the anti-overheating feature combination and the high-quality configuration feature combination containing the same heat collection feature parameter, the energy storage feature parameters of the anti-overheating feature combination and the high-quality configuration feature combination can be compared. If the energy storage feature parameter of the anti-overheating feature combination is greater than the energy storage feature parameter in the high-quality configuration feature combination, it means that the anti-overheating feature combination can minimize the annual cost of the heating system while satisfying the solar energy guarantee rate and anti-overheating requirements corresponding to the anti-overheating feature combination, and thus the anti-overheating feature combination can be used as a candidate feature parameter combination. If the energy storage feature parameter of the anti-overheating feature combination is less than the energy storage feature parameter in the high-quality configuration feature combination, it means that the high-quality configuration feature combination can minimize the annual cost of the heating system while satisfying the solar energy guarantee rate and anti-overheating requirements corresponding to the anti-overheating feature combination, and thus the high-quality configuration feature combination can be used as a candidate feature parameter combination. The number of solar energy guarantee rates can be the same as the number of candidate feature parameter combinations. The solar energy guarantee rate can correspond one-to-one to the candidate feature parameter combination.

[0112] In summary, the candidate characteristic parameter combination can be a high-quality configuration characteristic combination or an anti-overheating characteristic combination. If the heating system does not include an anti-overheating system, the candidate characteristic parameter combination can minimize the annual cost of the heating system while meeting its corresponding solar energy guarantee rate and anti-overheating requirements.

[0113] In the embodiment of the present disclosure, multiple candidate feature combinations can be determined when the heating system does not include an overheating prevention system, thereby improving the efficiency of determining the candidate feature combinations.

[0114] In a possible implementation, in a first coordinate system in which the horizontal axis represents the thermal collection characteristic parameters and the vertical axis represents the energy storage characteristic parameters, the first parameter set is the solar energy guarantee rate contour line, and the second parameter set is the annual cost value contour line, and the characteristic parameter combination belonging to both the first parameter set and the second parameter set is determined to obtain multiple high-quality configuration characteristic combinations, including: determining a first characteristic parameter combination represented by the intersection point of a single solar energy guarantee rate contour line and a single annual cost value contour line to obtain multiple first characteristic parameter combinations; and using multiple first characteristic parameter combinations as the multiple high-quality configuration characteristic combinations.

[0115] In the embodiment of the present disclosure, a first coordinate system can be constructed. Multiple solar energy guarantee rate contour lines can be obtained by fitting based on the points corresponding to the characteristic parameter combinations with equal solar energy guarantee rates in the first coordinate system. Multiple annual cost value contour lines can be obtained by fitting based on the points corresponding to the characteristic parameter combinations with equal annual cost values ​​in the first coordinate system. For ease of understanding, use Figure 2 Display the first coordinate system and solar energy guarantee rate contour lines. Figure 2 Schematic diagram of the first coordinate system and solar energy guarantee rate contour lines provided in the embodiment of the present disclosure. Figure 2 As shown, the horizontal axis is represented by the heat collection characteristic parameter (RAA). The unit of the heat collection characteristic parameter can be m 2 / m 2 The vertical axis represents the energy storage characteristic parameter (RVA). The unit of the energy storage characteristic parameter can be L / m 2 A single solar energy guarantee ratio contour line may correspond to a solar energy guarantee ratio (SF). Moreover, a single solar energy guarantee ratio contour line may correspond to a first parameter set.

[0116] For ease of understanding, use Figure 3 Displays contour lines of annual value of expenses. Figure 3 This is a schematic diagram of the annual cost contour line provided by the embodiment of the present disclosure. Figure 3 As shown, the horizontal axis is represented by the heat collection characteristic parameter (RAA). The unit of the heat collection characteristic parameter can be m 2 / m 2 The vertical axis represents the energy storage characteristic parameter (RVA). The unit of the energy storage characteristic parameter can be L / m 2 A single annual cost contour line can correspond to a TAC. The unit of annual cost value can be RMB / m 2 Furthermore, a single annual cost value contour line may correspond to a second parameter set.

[0117] For ease of understanding, use Figure 4 Display the tangency and tangency points of the single solar energy guarantee rate contour line and the single cost annual value contour line. Figure 4A schematic diagram of the tangency and tangency points of the solar energy guarantee rate contour line and the annual cost value contour line provided in the embodiment of the present disclosure. Figure 4 The solar energy guarantee rate contour line with a solar energy guarantee rate of 0.6 is shown, which is tangent to the annual cost value contour line with an annual cost value of 49.6, and the tangent point A. Tangent point A indicates that the minimum annual cost value that satisfies the solar energy guarantee rate of 0.6 is 49.6. A single tangent point corresponds to the first characteristic parameter combination, which can be used as a high-quality configuration characteristic combination.

[0118] In the embodiment of the present disclosure, the high-quality configuration feature combination can be determined by the first coordinate system, and after determining each first parameter set (solar energy guarantee rate contour line) and each second parameter set (cost annual value contour line), the high-quality configuration feature combination can be directly obtained, which improves the efficiency of determining the high-quality configuration feature combination. Moreover, the high-quality configuration feature combination can be intuitively displayed, which improves user participation, facilitates user adjustment, and improves the flexibility of the disclosed method.

[0119] In a possible implementation, the obtaining of multiple characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set includes: performing a Cartesian multiplication operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set to obtain the multiple characteristic parameter combinations.

[0120] In the disclosed embodiment, each heat collection characteristic parameter in the heat collection characteristic parameter set can be combined with each energy storage characteristic parameter in the energy storage characteristic parameter set, so as to obtain as many characteristic parameter combinations as possible, so that the determined solar energy guarantee rate and annual cost value have high numerical density. In this way, the accuracy of determining the candidate characteristic parameter combination and the target characteristic parameter combination is improved.

[0121] In a possible implementation, the method further includes: constructing a first model with the solar energy guarantee rate as an independent variable and the net annual value as a dependent variable, and using the first model to determine the target solar energy guarantee rate for the purpose of maximizing the net annual value.

[0122] In the design, the economic performance of the heating system can be used as the basis for determining the solar energy guarantee rate that the heating system needs to achieve. For the convenience of description, the solar energy guarantee rate that the heating system needs to achieve can be named the target solar energy guarantee rate.

[0123] By using the method in the embodiment of the present disclosure, the designed heating system can achieve maximum benefits compared with the traditional fuel heating system, thereby improving the economic performance of the heating system.

[0124] For ease of understanding, the first model can be presented using formula (11). Formula (11) is only an example, and the present disclosure does not limit the first model.

[0125] NAV max (SF T )=TAS(SF T )-TAC min (SF T ) (11)

[0126] Among them, SF T NAV stands for Target Solar Energy Assurance Rate max (SF T ) represents the maximum net annual value with the target solar energy guarantee rate as the independent variable, TAC min (SF T ) Taking the target solar energy guarantee rate as the minimum annual cost value of the independent variable, TAS(SF T ) represents the operation cost saving compared with the traditional fuel heating system with the target solar energy guarantee rate as the independent variable, P aux represents the price of auxiliary heat source, Q L Represents the total heat load for the entire heating season.

[0127] In a possible implementation, the target characteristic parameter combination includes: a target heat collection characteristic parameter and a target energy storage characteristic parameter, and determining the collector area and the water tank volume based on the target characteristic parameter combination and the building area includes: obtaining the collector area to be configured under the building area based on the target heat collection characteristic parameter and the building area; and obtaining the water tank volume to be configured under the collector area based on the collector area and the target energy storage characteristic parameter.

[0128] As mentioned above, the heat collection characteristic parameter can represent the ratio of the building area to the collector area. Therefore, when the building area and the heat collection characteristic parameter are known, the collector area can be determined. For example, the heat collection characteristic parameter can be expressed as Given RAA and AH, AC can be determined.

[0129] The energy storage characteristic parameter can characterize the ratio of the collector area to the water tank volume. Therefore, when the energy storage characteristic parameter and the collector area are known, the water tank volume can be determined. For example, the collector characteristic parameter can be expressed as Given RVA and AC, VS can be determined.

[0130] In the disclosed embodiment, when the target characteristic parameter combination is obtained, it is only necessary to obtain the building area to determine the collector area and the water tank volume, without requiring too much data, and the calculation is simple and efficient.

[0131] Figure 5 This is a schematic diagram of the structure of a solar heating system design device provided in an embodiment of the present disclosure. The device 20 includes:

[0132] A heat collection characteristic parameter determination unit 21 is used to determine a heat collection characteristic parameter representing a ratio between a building area and a collector area, and obtain a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters;

[0133] The energy storage characteristic parameter determination unit 22 is used to determine the energy storage characteristic parameter characterizing the ratio of the collector area to the water tank volume, and obtain an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters;

[0134] A characteristic parameter combination determining unit 23, configured to obtain a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter;

[0135] The performance combination determination unit 24 is used to determine the performance combination corresponding to the characteristic parameter combination based on each characteristic parameter combination and the heat balance data obtained hourly, and obtain multiple performance combinations, wherein a single performance combination includes a solar energy guarantee rate and an annual cost value;

[0136] The target characteristic parameter combination determination unit 25 is used to determine the annual cost value that meets the functional and economic standards and reaches the single solar energy guarantee rate, obtain the candidate characteristic parameter combination corresponding to each solar energy guarantee rate, and obtain the target characteristic parameter combination corresponding to the target solar energy guarantee rate;

[0137] The collector area and water tank volume determination unit 26 is used to determine the collector area and water tank volume based on the target characteristic parameter combination and the building area.

[0138] In a possible implementation, the heating system includes an overheating prevention system, and the target characteristic parameter combination determination unit 25 includes:

[0139] A first parameter set determination unit, configured to determine a characteristic parameter combination corresponding to a performance combination with the same solar energy guarantee rate as a first parameter set, and obtain a plurality of first parameter sets;

[0140] A second parameter set determination unit, used to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set, to obtain a plurality of second parameter sets;

[0141] The first candidate feature parameter combination determination unit is used to determine a feature parameter combination that belongs to both the first parameter set and the second parameter set, obtain a plurality of high-quality configuration feature combinations, and use the plurality of high-quality configuration feature combinations as the plurality of candidate feature parameter combinations.

[0142] In a possible implementation, the heating system does not include an overheating prevention system, and the target characteristic parameter combination determination unit 25 includes:

[0143] A first parameter set determination unit, configured to determine a characteristic parameter combination corresponding to a performance combination with the same solar energy guarantee rate as a first parameter set, and obtain a plurality of first parameter sets;

[0144] A second parameter set determination unit, used to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as a second parameter set, to obtain a plurality of second parameter sets;

[0145] A high-quality configuration feature combination determination unit, used to determine a feature parameter combination that belongs to both the first parameter set and the second parameter set, to obtain a plurality of high-quality configuration feature combinations;

[0146] An anti-overheating feature combination determination unit is used to determine a feature parameter combination including a minimum annual cost value corresponding to each solar energy guarantee rate under the condition that the amount of abandoned heat in the entire heating season is zero and each solar energy guarantee rate is reached, so as to obtain a plurality of anti-overheating feature combinations;

[0147] The second candidate characteristic parameter combination determination unit is used to compare the energy storage characteristic parameters contained in the anti-overheating feature combination and the high-quality configuration feature combination that contain the same heat collection characteristic parameter, and use the anti-overheating feature combination or the high-quality configuration feature combination that contains the energy storage characteristic parameter with a larger numerical value as a candidate characteristic parameter combination, to obtain a plurality of the candidate characteristic parameter combinations.

[0148] In a possible implementation, in a first coordinate system where the horizontal axis represents the heat collection characteristic parameter and the vertical axis represents the energy storage characteristic parameter, the first parameter set is a solar energy guarantee rate contour line, the second parameter set is a cost annual value contour line, and the first candidate characteristic parameter combination determination unit is further used to:

[0149] Determine a first characteristic parameter combination represented by a tangent point between a single solar energy guarantee rate contour line and a single cost annual value contour line, and obtain a plurality of first characteristic parameter combinations;

[0150] A plurality of first feature parameters are combined as the plurality of high-quality configuration feature combinations.

[0151] In a possible implementation, the characteristic parameter combination determining unit 23 is further configured to:

[0152] The plurality of characteristic parameter combinations are obtained by performing a Cartesian multiplication operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set.

[0153] In a possible implementation, the device 20 further includes:

[0154] The first model building unit is used to build a first model with the solar energy guarantee rate as an independent variable and the net annual value as a dependent variable.

[0155] The target solar energy guarantee rate determination unit is used to determine the target solar energy guarantee rate by using the first model to maximize the net annual value.

[0156] In a possible implementation, the target characteristic parameter combination includes: a target heat collection characteristic parameter and a target energy storage characteristic parameter, and the collector area and water tank volume determination unit 26 is used to:

[0157] Based on the target heat collection characteristic parameter and the building area, obtaining the collector area to be configured under the building area;

[0158] Based on the collector area and the target energy storage characteristic parameters, the volume of the water tank that should be configured under the collector area is obtained.

[0159] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0160] The embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, and the computer program instructions implement the above method when executed by a processor. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0161] An embodiment of the present disclosure further proposes an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0162] The embodiments of the present disclosure also provide a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0163] Figure 6 A schematic diagram of the structure of an electronic device designed for a solar heating system provided by an embodiment of the present disclosure. For example, the electronic device 1900 can be provided as a server or a terminal device. Figure 6, the electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions executable by the processing component 1922, such as an application. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0164] The electronic device 1900 may also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output interface 1958 (I / O interface). The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server 2003. TM , Mac OS X TM , Unix TM ,Linux TM , FreeBSD TM or similar.

[0165] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the electronic device 1900 to perform the above method.

[0166] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0167] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0168] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0169] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0170] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0171] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0172] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0173] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0174] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A solar heating system design method, characterized in that: For designing heating systems, including: Determine a heat collection characteristic parameter representing the ratio of the building area to the collector area, and obtain a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters; Determine an energy storage characteristic parameter representing the ratio of the collector area to the water tank volume, and obtain an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters; Based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, a plurality of characteristic parameter combinations are obtained, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter; Based on each of the characteristic parameter combinations and the heat balance data obtained hourly, a performance combination corresponding to the characteristic parameter combination is determined to obtain multiple performance combinations, wherein a single performance combination includes a solar energy guarantee rate and an annual cost value; Determine the annual cost value that meets the functional and economic standards and reaches a single solar energy guarantee rate, obtain candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtain a target characteristic parameter combination corresponding to a target solar energy guarantee rate; Based on the target characteristic parameter combination and building area, the collector area and water tank volume are determined.

2. The method according to claim 1, characterized in that The heating system includes an overheating prevention system, and the determining of the annual cost value that satisfies the functionality and economic standards and reaches the single solar energy guarantee rate, obtaining candidate characteristic parameter combinations corresponding to the respective solar energy guarantee rates, and obtaining a target characteristic parameter combination corresponding to the target solar energy guarantee rate, comprises: Determine the characteristic parameter combinations corresponding to the performance combinations with the same solar energy guarantee rate as a first parameter set, and obtain multiple first parameter sets; Determine the characteristic parameter combinations corresponding to the performance combinations with the same annual cost value as a second parameter set, and obtain multiple second parameter sets; Determine the feature parameter combinations that belong to both the first parameter set and the second parameter set, obtain a plurality of high-quality configuration feature combinations, and use the plurality of high-quality configuration feature combinations as the plurality of candidate feature parameter combinations.

3. The method according to claim 1, characterized in that The heating system does not include an overheating prevention system. The determining of the annual cost value that satisfies the functionality and economic standards and reaches a single solar energy guarantee rate, obtaining candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtaining a target characteristic parameter combination corresponding to a target solar energy guarantee rate include: Determine the characteristic parameter combinations corresponding to the performance combinations with the same solar energy guarantee rate as a first parameter set, and obtain multiple first parameter sets; Determine the characteristic parameter combinations corresponding to the performance combinations with the same annual cost value as a second parameter set, and obtain multiple second parameter sets; Determine a characteristic parameter combination that belongs to both the first parameter set and the second parameter set, and obtain a plurality of high-quality configuration characteristic combinations; Under the condition that the abandoned heat of the whole heating season is zero and each solar energy guarantee rate is achieved, the characteristic parameter combination containing the minimum annual cost value corresponding to each solar energy guarantee rate is determined to obtain multiple overheating prevention characteristic combinations; For the anti-overheating feature combination and the high-quality configuration feature combination that contain the same solar collection feature parameter, the energy storage feature parameters they each contain are compared, and the anti-overheating feature combination or the high-quality configuration feature combination that contains the energy storage feature parameter with a larger numerical value is used as a candidate feature parameter combination, to obtain a plurality of the candidate feature parameter combinations.

4. The method according to claim 2, characterized in that: In a first coordinate system where the horizontal axis represents the heat collection characteristic parameters and the vertical axis represents the energy storage characteristic parameters, the first parameter set is a solar energy guarantee rate contour line, and the second parameter set is a cost annual value contour line. The characteristic parameter combinations belonging to both the first parameter set and the second parameter set are determined to obtain multiple high-quality configuration characteristic combinations, including: Determine a first characteristic parameter combination represented by a tangent point between a single solar energy guarantee rate contour line and a single cost annual value contour line, and obtain a plurality of first characteristic parameter combinations; A plurality of first feature parameters are combined as the plurality of high-quality configuration feature combinations.

5. The method according to claim 1, characterized in that: The method of obtaining a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set includes: The plurality of characteristic parameter combinations are obtained by performing a Cartesian multiplication operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set.

6. The method according to claim 1, characterized in that Also includes: The first model is constructed with the solar energy guarantee rate as the independent variable and the net annual value as the dependent variable. Using the first model, a target solar energy guarantee rate is determined for the purpose of maximizing the net annual value.

7. The method according to claim 1, characterized in that The target characteristic parameter combination includes: a target heat collection characteristic parameter and a target energy storage characteristic parameter. The determination of the collector area and the water tank volume based on the target characteristic parameter combination and the building area includes: Based on the target heat collection characteristic parameter and the building area, obtaining the collector area to be configured under the building area; Based on the collector area and the target energy storage characteristic parameters, the volume of the water tank that should be configured under the collector area is obtained.

8. A solar heating system design device, characterized in that: For designing heating systems, including: A heat collection characteristic parameter determination unit is used to determine a heat collection characteristic parameter representing the ratio of the building area to the collector area, and obtain a heat collection characteristic parameter set including a plurality of heat collection characteristic parameters; An energy storage characteristic parameter determination unit is used to determine an energy storage characteristic parameter characterizing the ratio of the collector area to the water tank volume, and obtain an energy storage characteristic parameter set including a plurality of energy storage characteristic parameters; A characteristic parameter combination determining unit, used to obtain a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, wherein a single characteristic parameter combination includes a heat collection characteristic parameter and an energy storage characteristic parameter; A performance combination determination unit, for determining a performance combination corresponding to a characteristic parameter combination based on each characteristic parameter combination and the heat balance data acquired hourly, and obtaining a plurality of performance combinations, wherein a single performance combination includes a solar energy guarantee rate and an annual cost value; a target characteristic parameter combination determination unit, for determining an annual cost value that satisfies the functional and economic standards and reaches a single solar energy guarantee rate, obtaining candidate characteristic parameter combinations corresponding to each solar energy guarantee rate, and obtaining a target characteristic parameter combination corresponding to a target solar energy guarantee rate; The collector area and water tank volume determination unit is used to determine the collector area and water tank volume based on the target characteristic parameter combination and the building area.

9. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method described in any one of claims 1 to 7 when executing the instructions stored in the memory.

10. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Images