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

Abstract

The present disclosure relates to a solar heating system design method and device, an electronic device and a storage medium, comprising: determining a heat collection characteristic parameter to obtain a heat collection characteristic parameter set containing multiple heat collection characteristic parameters; determining an energy storage characteristic parameter to obtain an energy storage characteristic parameter set containing multiple energy storage characteristic parameters; obtaining multiple 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 characteristic parameter combination based on each characteristic parameter combination and hourly heat balance data; determining the annual value of the cost that meets the functional and economic standards and reaches a single solar guarantee rate to obtain a candidate characteristic parameter combination corresponding to each solar guarantee rate, and obtain a target characteristic parameter combination corresponding to a target solar guarantee rate; and determining the collector area and the water tank volume based on the target characteristic parameter combination and the building area, thereby improving the accuracy of determining the collector area and the water tank volume.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of heat supply systems, and particularly relates to a solar heat supply system design method and device, electronic equipment and a storage medium. BACKGROUND

[0002] With the proposal of the sustainable development strategy, environmental protection and resource conservation have become new issues for human beings. Solar energy, as a clean energy, has been favored by many fields. Compared with other energy heat supply systems, the solar heat supply system has absolute advantages in environmental protection and energy conservation.

[0003] Solar heat supply system design is a complex work. Especially under the dual requirements of economy and functionality, it is necessary to spend a lot of manpower and time to realize reasonable design of collector area and water tank volume, and to match them with each other.

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

[0005] The design method based on the relationship (such as F chart method, φ-F chart method) greatly simplifies the system - for example, the F chart method assumes that the heat loss of the collector and the daily average solar radiation are constant, which has a large deviation from the actual dynamic characteristics of the system. In addition, this kind of method uses a reference system to establish the relationship between the radiation and the load data. The deviation of the designed system from the reference system will also affect the accuracy of the design results.

[0006] The simulation-based method usually uses TRNSYS, POLOSUN and other system simulation software to build a system model, and simulates the thermal performance and economy of the system under different design parameters. Through this method, the optimized system design is based on a large number of example comparisons. Therefore, this method not only has a large amount of work and high calculation time requirement, but also needs to input many system design parameters, involving water pump, heat exchanger, pipeline and other aspects. Before the collector area and the volume of the heat storage water tank, which are two key parameters, are determined, it is difficult to accurately obtain all the design parameters. In addition, the designer cannot determine the accurate calculation range without professional knowledge.

[0007] Therefore, these two methods cannot efficiently and accurately design a solar heat supply system. SUMMARY

[0008] Therefore, the present disclosure proposes a solar heat supply system design scheme.

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

[0010] In a possible implementation, the heating system contains an anti-overheating system, and the determining of the candidate characteristic parameter combination corresponding to each solar fraction that meets the functional and economic standards and reaches the annual cost of the single solar fraction, and the obtaining of the target characteristic parameter combination corresponding to the target solar fraction, comprises: determining, as a first parameter set, a characteristic parameter combination corresponding to a performance combination with the same solar fraction to obtain a plurality of first parameter sets; determining, as a second parameter set, a characteristic parameter combination corresponding to a performance combination with the same annual cost to obtain a plurality of second parameter sets; determining a characteristic parameter combination belonging to both the first parameter set and the second parameter set to obtain a plurality of high-quality configuration characteristic parameter combinations, and taking the plurality of high-quality configuration characteristic parameter combinations as the plurality of candidate characteristic parameter combinations.

[0011] In a possible implementation, the heating system does not contain an anti-overheating system, the determining of the cost annual value meeting the functionality, the economic standard and the single solar guarantee rate, the obtaining of the candidate characteristic parameter combination corresponding to each solar guarantee rate, and the obtaining of the target characteristic parameter combination corresponding to the target solar guarantee rate, include: determining the characteristic parameter combinations corresponding to the performance combinations with the same solar guarantee rate as the first parameter set, to obtain a plurality of first parameter sets; determining the characteristic parameter combinations corresponding to the performance combinations with the same cost annual value as the second parameter set, to obtain a plurality of second parameter sets; determining the characteristic parameter combinations belonging to both the first parameter set and the second parameter set as the high-quality configuration characteristic combinations, to obtain a plurality of high-quality configuration characteristic combinations; determining the characteristic parameter combinations containing the minimum cost annual value corresponding to each solar guarantee rate under the condition that the heat rejection amount of the entire heating season is zero and each solar guarantee rate is met, to obtain a plurality of anti-overheating characteristic combinations; for the anti-overheating characteristic combinations and the high-quality configuration characteristic combinations containing the same heat collection characteristic parameter, comparing the energy storage characteristic parameters contained in each other, taking the anti-overheating characteristic combination or the high-quality configuration characteristic combination containing the energy storage characteristic parameter with a larger value as the candidate characteristic parameter combination, to obtain a plurality of the candidate characteristic parameter combinations.

[0012] In a possible implementation, in a first coordinate system in which the transverse axis represents the heat collection characteristic parameter and the longitudinal axis represents the energy storage characteristic parameter, the first parameter set is a solar guarantee rate contour line, the second parameter set is a cost annual value contour line, and the determining of the characteristic parameter combination belonging to both the first parameter set and the second parameter set to obtain a plurality of high-quality configuration characteristic combinations includes: determining the first characteristic parameter combination represented by the tangent point of a single solar guarantee rate contour line and a single cost annual value contour line, to obtain a plurality of first characteristic parameter combinations; taking the plurality of first characteristic parameter combinations as the plurality of high-quality configuration characteristic combinations.

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

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

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

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

[0017] A heat collection feature parameter determination unit is configured to determine a heat collection feature parameter representing a ratio of a building area to a collector area, and obtain a heat collection feature parameter set including a plurality of heat collection feature parameters.

[0018] An energy storage feature parameter determination unit is configured to determine an energy storage feature parameter representing a ratio of the collector area to a water tank volume, and obtain an energy storage feature parameter set including a plurality of energy storage feature parameters.

[0019] A feature parameter combination determination unit is configured to obtain a plurality of feature parameter combinations based on the heat collection feature parameter set and the energy storage feature parameter set, and each feature parameter combination includes a heat collection feature parameter and an energy storage feature parameter.

[0020] A performance combination determination unit is configured to determine a performance combination corresponding to each feature parameter combination based on the feature parameter combination and hourly heat balance data, and obtain a plurality of performance combinations, and each performance combination includes a solar fraction and an annual cost.

[0021] A target feature parameter combination determination unit is configured to determine a candidate feature parameter combination that meets functional and economic standards and reaches an annual cost of a single solar fraction, and obtain a target feature parameter combination corresponding to a target solar fraction.

[0022] A collector area and water tank volume determination unit is configured to determine the collector area and the water tank volume based on the target feature parameter combination and the building area.

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

[0024] A first parameter set determination unit is configured to determine feature parameter combinations corresponding to performance combinations with the same solar fraction as a first parameter set, and obtain a plurality of first parameter sets.

[0025] The second parameter set determination unit is configured to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as the second parameter set, and obtain a plurality of second parameter sets.

[0026] The first candidate characteristic parameter combination determination unit is configured to determine the characteristic parameter combination belonging to both the first parameter set and the second parameter set as the plurality of high-quality configuration characteristic parameter combinations, and take the plurality of high-quality configuration characteristic parameter combinations as the plurality of candidate characteristic parameter combinations.

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

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

[0029] The second parameter set determination unit is configured to determine the characteristic parameter combination corresponding to the performance combination with the same annual cost value as the second parameter set, and obtain a plurality of second parameter sets.

[0030] The high-quality configuration characteristic parameter combination determination unit is configured to determine the characteristic parameter combination belonging to both the first parameter set and the second parameter set as the plurality of high-quality configuration characteristic parameter combinations.

[0031] The anti-overheating characteristic parameter combination determination unit is configured to determine the characteristic parameter combination corresponding to each solar energy guarantee rate and including the minimum annual cost value under the condition that the heat rejection amount of the entire heating season is zero and each solar energy guarantee rate is reached, and obtain a plurality of anti-overheating characteristic parameter combinations.

[0032] The second candidate characteristic parameter combination determination unit is configured to compare the energy storage characteristic parameters included in the anti-overheating characteristic parameter combination and the high-quality configuration characteristic parameter combination including the same heat collection characteristic parameter, and take the anti-overheating characteristic parameter combination or the high-quality configuration characteristic parameter combination including the energy storage characteristic parameter with a larger value as the candidate characteristic parameter combination, and obtain a plurality of candidate characteristic parameter combinations.

[0033] In a possible implementation, in a first coordinate system in which 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 an annual cost value contour line, and the first candidate characteristic parameter combination determination unit is further configured to:

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

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

[0036] In a possible implementation, the feature parameter combination determining unit is further configured to:

[0037] The Cartesian product operation is performed on the heat collection feature parameter set and the energy storage feature parameter set to obtain the plurality of feature parameter combinations.

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

[0039] The first model constructing unit is configured to construct a first model with a solar energy guarantee rate as an independent variable and a net annual value as a dependent variable,

[0040] The target solar energy guarantee rate determining unit is configured to use the first model to determine a target solar energy guarantee rate for the purpose of maximizing the net annual value.

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

[0042] The collector area under the building area is obtained based on the target heat collection feature parameter and the building area.

[0043] The water tank volume under the collector area is obtained based on the collector area and the target energy storage feature parameter.

[0044] According to another aspect of the present disclosure, an electronic device is provided, including: a processor; 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 having computer program instructions stored therein is provided, wherein the computer program instructions are executed by a processor to implement the above method.

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

[0047] In the embodiments of the present disclosure, the collector area and the water tank volume that are matched with each other and meet the requirements of economy and functionality are converted into the target characteristic parameter combination. The performance combination is constituted by the solar fraction representing the functional level of the solar heating system and the annualized cost representing the economic performance of the solar heating system, and the performance combination corresponds to the characteristic parameter combination, and the solar fraction and the annualized cost in the performance combination are related to the collector area and the water tank volume. Thus, the target characteristic parameter combination that meets the requirements of functionality and economy is determined, and the collector area and the water tank volume that are matched with each other and meet the requirements of functionality and economy and correspond to the target characteristic parameter combination can be determined. The 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 the water tank volume is high. Moreover, the method does not need to artificially assume data, and the accuracy of determining the collector area and the water tank volume is improved; and the method uses the data measured at each time, and reduces the deviation between the theoretical value of the determined collector area and water tank volume and the actual demand, and further improves the accuracy.

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

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

[0050] Figure 1 A flowchart of a solar heating system design method provided by the embodiments of the present disclosure.

[0051] Figure 2 A schematic diagram of a first coordinate system and a solar fraction contour provided by the embodiments of the present disclosure.

[0052] Figure 3 A schematic diagram of an annualized cost contour provided by the embodiments of the present disclosure.

[0053] Figure 4 A schematic diagram of a tangent point of a solar fraction contour and an annualized cost contour provided by the embodiments of the present disclosure.

[0054] Figure 5 A structural schematic diagram of a solar heating system design device provided by the embodiments of the present disclosure.

[0055] Figure 6 A structural schematic diagram of an electronic device for solar heating system design provided by the embodiments 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 numbers in different drawings represent the same or similar elements. Although various aspects of embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless specifically noted.

[0057] The term "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any implementation described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other implementations.

[0058] In addition, for the purpose of convenience and brevity, detailed descriptions of well-known devices, methods, procedures, components, and circuits will not be described in detail since they would be apparent to one skilled in the art. Thus, the drawings and descriptions are to be regarded as illustrative in nature, and not as restrictive.

[0059] Figure 1 A flowchart of a design method of a solar heating system according to an embodiment of the present disclosure is shown in FIG. 1. As shown in FIG. 1, the method includes: Figure 1

[0060] S11, determining a heat collection characteristic parameter representing a ratio of a building area to a collector area, to obtain a heat collection characteristic parameter set containing 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 per unit collector area. Exemplarily, wherein RAA represents the heat collection characteristic parameter, AC represents the collector area, AH represents the building area, and n is a coefficient. The present disclosure does not limit the form of the heat collection characteristic parameter.

[0062] The heat collection characteristic parameters in the heat collection characteristic parameter set have the same 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 sequence with 0.01 as the first term and a common difference of 0.01. Each term in the arithmetic sequence is a heat collection characteristic parameter. For ease of understanding, the heat collection characteristic parameter set is represented by formula (1).

[0063] RAA a = 0.01 + (a-1) x 0.01 (1)

[0064] wherein RAA a ​​​RVAa represents the a-th heat collection feature parameter in the heat collection feature parameter set, a represents the serial number of the heat collection feature parameter, and 1≤a≤100.

[0065] S12, determining an energy storage feature parameter representing the ratio of the collector area to the volume of the water tank, to obtain an energy storage feature parameter set containing a plurality of energy storage feature parameters.

[0066] The energy storage feature parameter can represent the ratio of the collector area to the volume of the water tank. For example, it can represent the volume of the water tank that stores heat generated by a unit collector area, or it can represent the area of the collector from which the heat stored in a unit volume of the water tank is derived. Exemplarily, or or wherein RVA represents the energy storage feature parameter, AC represents the collector area, VS represents the volume of the heat storage water tank, and n is a coefficient. The form of the energy storage feature parameter is not limited in the embodiments of the present disclosure.

[0067] The forms of the energy storage feature parameters in the energy storage feature parameter set are the same, and the values are different. The values of the energy storage feature parameters in the energy storage feature parameter set can cover a preset second threshold interval. Exemplarily, the second value interval can be [0, 1000], and the energy storage feature parameter set can be an arithmetic sequence with 10 as the first term and 10 as the common difference. Each term in the arithmetic sequence is an energy storage feature parameter. In order to facilitate understanding, the energy storage feature parameter set is represented by formula (2).

[0068] RVA b = 0.01 + (b-1) x 0.01 (2)

[0069] wherein RVA b represents the b-th energy storage feature parameter in the energy storage feature parameter set, b represents the serial number of the energy storage feature parameter, and 1≤b≤1000.

[0070] S13, obtaining a plurality of feature parameter combinations based on the heat collection feature parameter set and the energy storage feature parameter set, wherein a single feature parameter combination contains a heat collection feature parameter and an energy storage feature 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 a first tolerance, and the energy storage characteristic parameters can be extracted from the energy storage characteristic parameter set according to a second tolerance. The extracted heat collection characteristic parameters can cover the first value interval, and the extracted energy storage characteristic parameters can cover the second value interval. Then, the extracted heat collection characteristic parameters and the extracted energy storage characteristic parameters are combined to obtain a plurality of characteristic parameter combinations. A single characteristic parameter combination can include one heat collection characteristic parameter and one energy storage characteristic parameter. The above is only an example, and the embodiments of the present disclosure do not limit the first tolerance, the second tolerance, and the combination method of the extracted heat collection characteristic parameters and the extracted energy storage characteristic parameters.

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

[0073] The heat balance data can include an outdoor dry-bulb temperature, a total irradiance of a heat collector installation slope, and a heat load of a building served by the heating system in the present disclosure. The outdoor dry-bulb temperature and the total irradiance of the heat collector installation slope can be measured values or generated fitting values using software. The heat load of the building can be generated using simulation software. A 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. Therefore, the heat balance data can be obtained every 60 seconds. The obtained heat balance data can cover the entire heating season. Therefore, the number of time steps can be the ratio of the length of the heating season to the time step.

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

[0075] The solar guarantee rate can be obtained based on the heat collector area and the hourly heat balance data. The annual cost value can be obtained based on the heat collector area and the water tank volume. Both the heat collector area and the water tank volume are related to the characteristic parameter combination. Therefore, a single performance combination can be obtained using a single characteristic parameter combination and the hourly heat balance data. In order to facilitate understanding, the calculation methods of the solar guarantee rate and the annual cost value are introduced below through formulas (2)-(7).

[0076]

[0077] Where SF represents the solar fraction, Nt is the number of time steps in a complete heating season, represents the heat supply of the auxiliary heat source corresponding to the ith time step, represents the heat load of the building corresponding to the ith time step.

[0078]

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

[0080]

[0081] Where, represents the heat collection of the collector corresponding to the ith time step, represents the heat loss rate of the water tank corresponding to the ith time step, Δτ is the time step, (mC P ) S represents the product of the mass m of the working medium in the water tank and the heat capacity C P .

[0082]

[0083] Where A C represents the area of the collector, I T (i) represents the total irradiance of the collector installation at the ith time step, F R (i) represents the thermal migration factor of the collector at the ith time step, U L represents the comprehensive heat loss coefficient of the collector, T C,in (i) represents the inlet water temperature of the collector at the ith time step, T amb (i) represents the outdoor dry-bulb temperature at the ith time step, + represents that only the positive case of heat collection is considered in the calculation process, and the heat collection is set to 0 when the calculated value of heat collection is negative.

[0084]

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

[0086]

[0087] Wherein, TAC represents the annual cost (unit of heat supply area), C C represents the cost of the collector per unit area, C s represents the cost of the water tank per unit volume, 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 represents the capital recovery coefficient of the heating system, CRF aux represents the capital recovery coefficient of the auxiliary heat source system, Q L represents the total heat load of the entire heating season, C F represents the price of the auxiliary heat source, (CV) F represents the heat value of the auxiliary energy, η aux represents the efficiency of the auxiliary heat source system.

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

[0089] S15, determining the annual cost meeting the functional and economic standards and reaching a single solar guarantee rate, obtaining a candidate characteristic parameter combination corresponding to each solar guarantee rate, and obtaining a target characteristic parameter combination corresponding to a target solar guarantee rate.

[0090] The performance combination determined in the foregoing can correspond to multiple solar guarantee rates. The number of solar guarantee rates can be less than the number of performance combinations. Each solar guarantee rate can correspond to one or more performance combinations. Each solar guarantee rate can correspond to one or more annual costs. For a single solar guarantee rate, the annual cost meeting the functional and economic standards and reaching the single solar guarantee rate can be determined. The single solar guarantee rate and the determined annual cost meeting the functional and economic standards and reaching the single solar guarantee rate can constitute a candidate characteristic parameter combination. Thus, for multiple solar guarantee rates, multiple candidate characteristic parameter combinations can be obtained. Each solar guarantee rate can correspond to a candidate characteristic parameter combination.

[0091] In the embodiment of the disclosure, the target solar guarantee rate can be artificially specified or obtained by calculation, so that the candidate characteristic parameter combination containing the target solar guarantee rate can be determined as the target characteristic parameter combination. The target characteristic parameter combination can include: target collector characteristic parameters, target energy storage characteristic parameters.

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

[0093] The heat collection characteristic parameter and the energy storage characteristic parameter are related to the collector area, the building area and the water tank volume. Thus, the collector area and the water tank volume can be determined under the condition that the target characteristic parameter combination is determined and the building area is known.

[0094] In the embodiment of the present disclosure, the collector area and the water tank volume that meet the economic and functional requirements and match each other are converted into the target characteristic parameter combination. The performance combination is composed of the solar energy guarantee rate representing the functional level of the solar energy heating system and the annual cost value representing the economic performance of the solar energy heating system, 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 the water tank volume that meet the functional and economic requirements and match each other corresponding to the target characteristic parameter combination can be determined. The method requires a small amount of data, and does not need to establish a heating system model, so that the efficiency of determining the collector area and the water tank volume is high. Moreover, the method does not need to artificially assume data, so that the accuracy of determining the collector area and the water tank volume is improved. In addition, the data measured at each time is used, so that the deviation between the theoretical value of the determined collector area and water tank volume and the actual demand is reduced, and the accuracy is further improved.

[0095] In a possible implementation, the heating system comprises an anti-overheating system, the target characteristic parameter combination corresponding to the target solar energy guarantee rate is determined by determining the characteristic parameter combination corresponding to the performance combination with the same solar energy guarantee rate as the first parameter set to obtain a plurality of first parameter sets, determining the characteristic parameter combination corresponding to the performance combination with the same annual cost value as the second parameter set to obtain a plurality of second parameter sets, determining the characteristic parameter combination belonging to both the first parameter set and the second parameter set to obtain a plurality of high-quality configuration characteristic parameter combinations, and taking the plurality of high-quality configuration characteristic parameter combinations as the plurality of candidate characteristic parameter combinations.

[0096] The first parameter set can comprise a plurality of characteristic parameter combinations. The characteristic parameter combinations belonging to the same first parameter set each correspond to the performance combination with the same solar energy guarantee rate. The number of solar energy guarantee rates can be the same as the number of first parameter sets. The solar energy guarantee rate corresponds to the first parameter set one by one. Part of the plurality of characteristic parameter combinations determined in S13 belong to the first parameter set.

[0097] The second parameter set can include a plurality of characteristic parameter combinations. The characteristic parameter combinations belonging to the same second parameter set each correspond to a performance combination with the same annual cost value. The number of annual cost values can be the same as the number of second parameter sets. The annual cost value corresponds to the second parameter set in a one-to-one manner. A part of the plurality of characteristic parameter combinations determined in S13 belongs to the second parameter set.

[0098] In fact, the first parameter set is screened from the plurality of characteristic parameter combinations determined in S13, and the characteristic parameter combinations with the same solar energy guarantee rate in the corresponding performance combination are screened out as the first parameter set. The second parameter set is screened from the plurality of characteristic parameter combinations determined in S13, and the characteristic parameter combinations with the same annual cost value in the corresponding performance combination are screened out 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 characteristic combination belongs can be named as the first solar energy guarantee rate. The high-quality configuration characteristic combination can be a characteristic parameter combination that makes the annual cost value of the heating system the lowest under the condition of meeting the first solar energy guarantee rate.

[0100] The number of solar energy guarantee rates can be the same as the number of high-quality configuration characteristic combinations. The solar energy guarantee rate can correspond to the high-quality configuration characteristic combination in a one-to-one manner. The number of solar energy guarantee rates can be the same as the number of candidate characteristic parameter combinations. The solar energy guarantee rate can correspond to the candidate characteristic parameter combination in a one-to-one manner. If the heating system includes an anti-overheating system, the candidate characteristic parameter combination can make the annual cost value of the heating system the smallest under the condition of meeting the corresponding solar energy guarantee rate. Therefore, the candidate characteristic combination can make the heating system meet the functional and economic requirements.

[0101] In the embodiments of the present disclosure, the first parameter set and the second parameter set can be obtained by screening the characteristic parameters based on the solar energy guarantee rate and the annual cost value, respectively. 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 a plurality of candidate characteristic combinations under the condition that the heating system includes an anti-overheating system are determined, thereby improving the efficiency of determining the candidate characteristic combination.

[0102] In a possible implementation, the heating system does not contain an anti-overheating system, the determining of the cost annual value meeting the functionality, the economic standard and the single solar guarantee rate, obtaining of the candidate characteristic parameter combination corresponding to each solar guarantee rate, and obtaining of the target characteristic parameter combination corresponding to the target solar guarantee rate, include: determining the characteristic parameter combination corresponding to the performance combination with the same solar guarantee rate as the first parameter set, obtaining a plurality of first parameter sets; determining the characteristic parameter combination corresponding to the performance combination with the same cost annual value as the second parameter set, obtaining a plurality of second parameter sets; determining the characteristic parameter combination belonging to both the first parameter set and the second parameter set, obtaining a plurality of high-quality configuration characteristic combinations; determining the characteristic parameter combination containing the minimum cost annual value corresponding to each solar guarantee rate under the condition that the heat rejection amount of the entire heating season is zero and each solar guarantee rate is met, obtaining a plurality of anti-overheating characteristic combinations; for the anti-overheating characteristic combination and the high-quality configuration characteristic combination containing the same heat collection characteristic parameter, comparing the energy storage characteristic parameters contained in each other, taking the anti-overheating characteristic combination or the high-quality configuration characteristic combination containing the energy storage characteristic parameter with a larger value as the candidate characteristic parameter combination, and obtaining a plurality of the candidate characteristic parameter combinations.

[0103] In order to facilitate understanding, the following introduces the calculation method of the solar guarantee rate and the cost annual value through formulas (8)-(10).

[0104]

[0105] wherein, Q REJECT represents the heat rejection amount of the heating system in the entire heating season, represents the heat rejection amount corresponding to the i th time step.

[0106]

[0107] wherein, represents the water tank heating amount corresponding to the i th time step.

[0108]

[0109] The calculation process of the heat rejection amount of the heating system in the entire heating season is not the part focused on by the present disclosure, and the calculation method of the heat rejection amount of the heating system in the entire heating season is not limited in the present disclosure.

[0110] The calculation of the temperature of the water tank and the heat collection amount of the collector are involved in determining the heat rejection amount of the heat supply system throughout the heating season, and thus the heat rejection amount of the heat supply system throughout the heating season is related to the heat collection characteristic parameter and / or the energy storage characteristic parameter. Then, when the heat rejection amount throughout the heating season is set to zero and the single solar guarantee rate is reached, at least one characteristic parameter combination corresponding to the single solar guarantee rate is determined; and then a characteristic parameter combination containing the minimum energy storage characteristic parameter is selected from the at least one characteristic parameter combination. In order to facilitate description, the selected characteristic parameter combination is named as the overheating prevention characteristic combination. Each solar guarantee rate can correspond to an overheating prevention characteristic combination. In this way, a plurality of overheating prevention characteristic combinations can be obtained.

[0111] As described above, for the overheating prevention characteristic combination and the high-quality configuration characteristic combination containing the same heat collection characteristic parameter, the energy storage characteristic parameters of the overheating prevention characteristic combination and the high-quality configuration characteristic combination can be compared. If the energy storage characteristic parameter of the overheating prevention characteristic combination is greater than the energy storage characteristic parameter in the high-quality configuration characteristic combination, it indicates that the overheating prevention characteristic combination can minimize the annual cost of the heat supply system while meeting the solar guarantee rate corresponding to the overheating prevention characteristic combination and the overheating prevention requirement, and thus the overheating prevention characteristic combination can be used as a candidate characteristic parameter combination. If the energy storage characteristic parameter of the overheating prevention characteristic combination is less than the energy storage characteristic parameter in the high-quality configuration characteristic combination, it indicates that the high-quality configuration characteristic combination can minimize the annual cost of the heat supply system while meeting the solar guarantee rate corresponding to the overheating prevention characteristic combination and the overheating prevention requirement, and thus the high-quality configuration characteristic combination can be used as a candidate characteristic parameter combination. The number of solar guarantee rates can be the same as the number of candidate characteristic parameter combinations. The solar guarantee rate can correspond to the candidate characteristic parameter combination one by one.

[0112] In summary, the candidate characteristic parameter combination can be the high-quality configuration characteristic combination or the overheating prevention characteristic combination. If the heat supply system does not contain the overheating prevention system, the candidate characteristic parameter combination can minimize the annual cost of the heat supply system while meeting the solar guarantee rate corresponding to the candidate characteristic parameter combination and the overheating prevention requirement.

[0113] In the embodiments of the present disclosure, the plurality of candidate characteristic combinations when the heat supply system does not contain the overheating prevention system improves the efficiency of determining the candidate characteristic combination.

[0114] In a possible implementation, in a first coordinate system in which an abscissa represents a heat collection characteristic parameter and an ordinate represents an energy storage characteristic parameter, the first parameter set is a solar guarantee rate contour line, the second parameter set is an annual cost contour line, and the characteristic parameter combination belonging to both the first parameter set and the second parameter set is determined to obtain a plurality of high-quality configuration characteristic combinations, including: determining a first characteristic parameter combination represented by a tangent point of a single solar guarantee rate contour line and a single annual cost contour line to obtain a plurality of first characteristic parameter combinations; and taking the plurality of first characteristic parameter combinations as the plurality of high-quality configuration characteristic combinations.

[0115] In the embodiment of the present disclosure, a first coordinate system can be constructed. A plurality of solar guarantee rate contour lines can be obtained by fitting points corresponding to characteristic parameter combinations with equal solar guarantee rates in the first coordinate system. A plurality of annual cost contour lines can be obtained by fitting points corresponding to characteristic parameter combinations with equal annual costs in the first coordinate system. For ease of understanding, a solar guarantee rate contour line is shown in FIG. 2. Figure 2 A first coordinate system and a solar guarantee rate contour line are shown in FIG. 2. Figure 2 A first coordinate system and a solar guarantee rate contour line are shown in FIG. 2. Figure 2 As shown in FIG. 2, an abscissa represents a heat collection characteristic parameter (RAA). The unit of the heat collection characteristic parameter can be m 2 / m 2 . An ordinate represents an energy storage characteristic parameter (RVA). The unit of the energy storage characteristic parameter can be L / m 2 . A single solar guarantee rate contour line can correspond to a single solar guarantee rate (SF). Moreover, a single solar guarantee rate contour line can correspond to a single first parameter set.

[0116] For ease of understanding, an annual cost contour line is shown in FIG. 3. Figure 3 An annual cost contour line is shown in FIG. 3. Figure 3 An annual cost contour line is shown in FIG. 3. Figure 3 As shown in FIG. 3, an abscissa represents a heat collection characteristic parameter (RAA). The unit of the heat collection characteristic parameter can be m 2 / m 2 . An ordinate represents an 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 single annual cost (TAC). The unit of the annual cost can be yuan / m 2 . Moreover, a single annual cost contour line can correspond to a single second parameter set.

[0117] For ease of understanding, a tangent point of a single solar guarantee rate contour line and a single annual cost contour line is shown in FIG. 4. Figure 4 A tangent point of a single solar guarantee rate contour line and a single annual cost contour line is shown in FIG. 4. Figure 4A schematic diagram of the solar fraction contour line tangential to the levelized cost of energy contour line and the tangent point is provided for the embodiments of the present disclosure. As shown in FIG. 1, the solar fraction contour line is tangential to the levelized cost of energy contour line at the tangent point A. The tangent point A represents that the minimum levelized cost of energy satisfying the solar fraction of 0.6 is 49.6. A single tangent point corresponds to a first characteristic parameter combination, which can be used as a high-quality configuration characteristic combination. Figure 4 A solar fraction contour line with a solar fraction of 0.6 is shown, which is tangential to a levelized cost of energy contour line with a levelized cost of energy of 49.6, and a tangent point A. The tangent point A represents that the minimum levelized cost of energy satisfying the solar fraction of 0.6 is 49.6. A single tangent point corresponds to a first characteristic parameter combination, which can be used as a high-quality configuration characteristic combination.

[0118] In the embodiments of the present disclosure, the high-quality configuration characteristic combination can be determined by the first coordinate system. After determining each first parameter set (solar fraction contour line) and each second parameter set (levelized cost of energy contour line), the high-quality configuration characteristic combination can be directly obtained, thereby improving the efficiency of determining the high-quality configuration characteristic combination. Moreover, the high-quality configuration characteristic combination can be intuitively displayed, thereby improving user participation, facilitating user adjustment, and improving the flexibility of the method of the present disclosure.

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

[0120] In the embodiments of the present disclosure, each heat collection characteristic parameter in the set of heat collection characteristic parameters can be combined with each energy storage characteristic parameter in the set of energy storage characteristic parameters, so that as many characteristic parameter combinations as possible are obtained, and the numerical density of the determined solar fraction and levelized cost of energy is high. 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 fraction as the independent variable and the net annual value as the dependent variable, and using the first model to determine the target solar fraction for the purpose of maximizing the net annual value.

[0122] In the design, the economic performance of the heating system can be used as a basis for determining the solar fraction required to be achieved by the heating system. For ease of description, the solar fraction required to be achieved by the heating system can be named as a target solar fraction.

[0123] Using the method in the embodiments of the present disclosure, the yield of the designed heating system can be maximized compared with the conventional fuel heating system, thereby improving the economic performance of the heating system.

[0124] For ease of understanding, the first model can be shown by using formula (11), and 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] where SF T represents the target solar fraction, NAV max (SF T ) represents the maximum net annual value with the target solar fraction as the independent variable, TAC min (SF T ) represents the minimum cost annual value with the target solar fraction as the independent variable, and TAS (SF T ) represents the saved operation cost compared with the traditional fuel heating system with the target solar fraction as the independent variable. P aux represents the price of the auxiliary heat source, and Q L represents the total heat load in 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 the determination of the collector area and the water tank volume based on the target characteristic parameter combination and the building area includes: obtaining the collector area that should be configured under the building area based on the target heat collection characteristic parameter and the building area; and obtaining the water tank volume that should be configured under the collector area based on the collector area and the target energy storage characteristic parameter.

[0128] As described above, the heat collection characteristic parameter can represent the ratio of the building area to the collector area. Thus, the collector area can be determined based on the known building area and the heat collection characteristic parameter. For example, the heat collection characteristic parameter can be represented as Given RAA and AH, AC can be determined.

[0129] The energy storage characteristic parameter can represent the ratio of the collector area to the water tank volume. Thus, the water tank volume can be determined based on the known energy storage characteristic parameter and the collector area. For example, the energy storage characteristic parameter can be represented as Given RVA and AC, VS can be determined.

[0130] In the embodiments of the present disclosure, after the target characteristic parameter combination is obtained, the collector area and the water tank volume can be determined based on the known building area, without the need for excessive data and with simple calculation and high efficiency.

[0131] Figure 5 A structural schematic diagram of a solar heating system design device provided by the embodiments of the present disclosure is shown in FIG. 1. The device 20 includes:

[0132] The heat collection characteristic parameter determination unit 21 is configured to determine a heat collection characteristic parameter representing a ratio of a building area to a collector area, to obtain a heat collection characteristic parameter set containing a plurality of heat collection characteristic parameters;

[0133] The energy storage characteristic parameter determination unit 22 is configured to determine an energy storage characteristic parameter representing a ratio of a collector area to a water tank volume, to obtain an energy storage characteristic parameter set containing a plurality of energy storage characteristic parameters;

[0134] The characteristic parameter combination determination unit 23 is configured to obtain a plurality of characteristic parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, and each characteristic parameter combination contains a heat collection characteristic parameter and an energy storage characteristic parameter.

[0135] The performance combination determination unit 24 is configured to determine a performance combination corresponding to each characteristic parameter combination based on the characteristic parameter combination and hourly heat balance data, to obtain a plurality of performance combinations, and each performance combination contains a solar energy guarantee rate and an annual cost value.

[0136] The target characteristic parameter combination determination unit 25 is configured to determine a candidate characteristic parameter combination corresponding to each solar energy guarantee rate, and a target characteristic parameter combination corresponding to a target solar energy guarantee rate, which meet functional and economic standards and achieve an annual cost value of a single solar energy guarantee rate.

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

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

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

[0140] The second parameter set determination unit is configured to determine a characteristic parameter combination corresponding to a 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 characteristic parameter combination determination unit is configured to determine a characteristic parameter combination belonging to both the first parameter set and the second parameter set, to obtain a plurality of high-quality configuration characteristic combinations, and the plurality of high-quality configuration characteristic combinations are taken as the plurality of candidate characteristic parameter combinations.

[0142] In a possible implementation, the heating system does not contain an anti-overheating system, the target characteristic parameter combination determination unit 25 comprises:

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

[0144] The second parameter set determination unit is configured to determine the characteristic parameter combinations corresponding to the performance combinations with the same annual cost as the second parameter set, and obtain a plurality of second parameter sets.

[0145] The high-quality configuration characteristic combination determination unit is configured to determine the characteristic parameter combinations belonging to both the first parameter set and the second parameter set, and obtain a plurality of high-quality configuration characteristic combinations.

[0146] The anti-overheating characteristic combination determination unit is configured to determine the characteristic parameter combinations corresponding to the minimum annual cost for each solar energy guarantee rate under the condition that the heat rejection amount is zero throughout the heating season and each solar energy guarantee rate is met, and obtain a plurality of anti-overheating characteristic combinations.

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

[0148] In a possible implementation, in a first coordinate system in which 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 an annual cost contour line, and the first candidate characteristic parameter combination determination unit is further configured to:

[0149] Determine the first characteristic parameter combination represented by the intersection point of a single solar energy guarantee rate contour line and a single annual cost contour line, and obtain a plurality of first characteristic parameter combinations.

[0150] Determine the first characteristic parameter combination represented by the intersection point of a single solar energy guarantee rate contour line and a single annual cost contour line, and obtain a plurality of first characteristic parameter combinations.

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

[0152] Perform a Cartesian product operation on the heat collection characteristic parameter set and the energy storage characteristic parameter set to obtain the plurality of characteristic parameter combinations.

[0153] In a possible implementation, the apparatus 20 further comprises:

[0154] a first model construction unit configured to construct a first model with solar energy guarantee rate as an independent variable and net annual value as a dependent variable,

[0155] a target solar energy guarantee rate determination unit configured to determine a target solar energy guarantee rate with the first model for the purpose of maximizing net annual value.

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

[0157] obtain a heat collector area that should be configured under the building area based on the target heat collector characteristic parameter and the building area.

[0158] obtain a water tank volume that should be configured under the heat collector area based on the heat collector area and the target energy storage characteristic parameter.

[0159] In some embodiments, the apparatus provided by the embodiments of the present disclosure has functions or includes modules that can be used to perform the methods described in the above method embodiments, and the specific implementation can refer to the description of the above method embodiments. For brevity, it will not be repeated here.

[0160] The embodiments of the present disclosure also propose a computer-readable storage medium having computer program instructions stored thereon, and the computer program instructions are executed by a processor to implement the above method. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0161] The embodiments of the present disclosure also propose an electronic device, including a processor, a memory for storing processor-executable instructions, and 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 computer readable code or a non-volatile computer readable storage medium carrying computer readable code, when the computer readable code is run in the processor of the electronic device, the processor in the electronic device executes the above method.

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

[0164] The electronic device 1900 can further 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 can operate based on an operating system stored in the memory 1932, such as Windows Server TM , Mac OS X TM , Unix TM , Linux TM , FreeBSD TM or the like.

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

[0166] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

[0167] Computer readable storage media can be tangible storage media which can retain and store instructions for use by an instruction execution device. Computer readable storage media can be, for example, but is not limited to, an electronic 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 (a non-exhaustive list) of computer readable storage media include the following: a portable computer diskette, 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 disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

[0168] Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0169] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0170] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0171] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can include random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other data storage device. When the computer readable program instructions are loaded into the computer and other programmable data processing apparatus, a series of operational steps are implemented that provide processes such that the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0172] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0173] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0174] Embodiments of the present disclosure have been described above, and the description is intended to be illustrative, and not restrictive, of the disclosed embodiments. Many modifications and variations of the described embodiments are possible, and all such modifications and variations are intended to be within the scope of the described embodiments. The description used herein is intended to best explain the principles of the various embodiments, the practical application, and the best mode of using the present disclosure, and to enable others skilled in the art to understand the disclosure, various embodiments, and / or various implementations detailed herein. Any terminology used herein should not be considered limiting of the disclosure, various embodiments, and / or various implementations detailed herein.

Claims

1. A design method for a solar heating system, characterized in that, A system for designing a heating system, comprising: determining a heat collection characteristic parameter representing a ratio of a building area to a collector area, to obtain a heat collection characteristic parameter set containing a plurality of heat collection characteristic parameters; determining an energy storage characteristic parameter representing a ratio of the collector area to a tank volume, to obtain an energy storage characteristic parameter set containing a plurality of energy storage characteristic parameters; based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, obtaining a plurality of characteristic parameter combinations, each of which contains a heat collection characteristic parameter and an energy storage characteristic parameter; based on each of the characteristic parameter combinations and hourly heat balance data, determining a performance combination corresponding to the characteristic parameter combination, to obtain a plurality of performance combinations, each of which includes a solar fraction and an annual cost; determining a candidate characteristic parameter combination corresponding to each solar fraction that meets functional and economic standards and reaches an annual cost of a single solar fraction, and obtaining a target characteristic parameter combination corresponding to a target solar fraction; based on the target characteristic parameter combination and the building area, determining the collector area and the tank volume.

2. The method of claim 1, wherein, The heating system contains an anti-overheating system, and the determination of the candidate characteristic parameter combination corresponding to each solar fraction that meets the functional and economic standards and reaches the annual cost of a single solar fraction, and the obtaining of the target characteristic parameter combination corresponding to the target solar fraction, comprises: determining the characteristic parameter combinations corresponding to the performance combinations with the same solar fraction as a first parameter set, to obtain a plurality of first parameter sets; determining the characteristic parameter combinations corresponding to the performance combinations with the same annual cost as a second parameter set, to obtain a plurality of second parameter sets; determining the characteristic parameter combinations that belong to both the first parameter set and the second parameter set, to obtain a plurality of high-quality configuration characteristic parameter combinations, and taking the plurality of high-quality configuration characteristic parameter combinations as the plurality of candidate characteristic parameter combinations.

3. The method of claim 1, wherein, The heating system does not contain an anti-overheating system, and the determination of the candidate characteristic parameter combination corresponding to each solar fraction that meets the functional and economic standards and reaches the annual cost of a single solar fraction, and the obtaining of the target characteristic parameter combination corresponding to the target solar fraction, comprises: determining the characteristic parameter combinations corresponding to the performance combinations with the same solar fraction as a first parameter set, to obtain a plurality of first parameter sets; determining the characteristic parameter combinations corresponding to the performance combinations with the same annual cost as a second parameter set, to obtain a plurality of second parameter sets; determining the characteristic parameter combinations that belong to both the first parameter set and the second parameter set, to obtain a plurality of high-quality configuration characteristic parameter combinations; determining the characteristic parameter combination corresponding to each solar fraction that contains the minimum annual cost under the condition that the entire heating season has zero heat rejection and reaches each solar fraction, to obtain a plurality of anti-overheating characteristic parameter combinations; For the anti-overheating feature combination and the high-quality configuration feature combination containing the same heat collection characteristic parameter, the energy storage characteristic parameters contained in each are compared, and the anti-overheating feature combination or the high-quality configuration feature combination containing the energy storage characteristic parameter with a larger value is taken as a candidate feature parameter combination, to obtain a plurality of candidate feature parameter combinations.

4. The method of claim 2, wherein, In a first coordinate system in which 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 guarantee rate contour line, the second parameter set is an annual cost contour line, the feature parameter combination belonging to both the first parameter set and the second parameter set is determined, to obtain a plurality of high-quality configuration feature parameter combinations, including: A first feature parameter combination represented by a tangent point of a single solar guarantee rate contour line and a single annual cost contour line is determined, to obtain a plurality of first feature parameter combinations; The plurality of first feature parameter combinations are taken as the plurality of high-quality configuration feature parameter combinations.

5. The method of claim 1, wherein, The plurality of feature parameter combinations are obtained based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, including: The Cartesian product operation is performed on the heat collection characteristic parameter set and the energy storage characteristic parameter set, to obtain the plurality of feature parameter combinations.

6. The method of claim 1, wherein, Further including: A first model with the solar guarantee rate as the independent variable and the net annual value as the dependent variable is constructed, The first model is used to determine a target solar guarantee rate with the purpose of maximizing the net annual value.

7. The method of claim 1, wherein, The target feature parameter combination includes a target heat collection characteristic parameter and a target energy storage characteristic parameter, and the collector area and the water tank volume are determined based on the target feature parameter combination and the building area, including: The collector area to be configured under the building area is obtained based on the target heat collection characteristic parameter; The water tank volume to be configured under the collector area is obtained based on the collector area and the target energy storage characteristic parameter.

8. A solar heating system design apparatus, characterized by, For designing a heating system, including: A heat collection characteristic parameter determination unit is configured to determine a heat collection characteristic parameter representing the ratio of the building area to the collector area, to obtain a heat collection characteristic parameter set containing a plurality of heat collection characteristic parameters; An energy storage characteristic parameter determination unit is configured to determine an energy storage characteristic parameter representing the ratio of the collector area to the water tank volume, to obtain an energy storage characteristic parameter set containing a plurality of energy storage characteristic parameters; A feature parameter combination determination unit is configured to obtain a plurality of feature parameter combinations based on the heat collection characteristic parameter set and the energy storage characteristic parameter set, and each feature parameter combination contains a heat collection characteristic parameter and an energy storage characteristic parameter; A performance combination determination unit is configured to determine a performance combination corresponding to each feature parameter combination based on the feature parameter combination and the hourly heat balance data, to obtain a plurality of performance combinations, and each performance combination includes a solar guarantee rate and an annual cost; A target feature parameter combination determination unit is configured to determine a candidate feature parameter combination corresponding to each solar guarantee rate and a target feature parameter combination corresponding to a target solar guarantee rate, which meet the functional and economic standards and achieve an annual cost of a single solar guarantee rate. A collector area and water tank volume determining unit is configured to determine the collector area and the water tank volume based on the target characteristic parameter combination and the building area.

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

10. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein, The computer program instructions, when executed by the processor, implement the method of any one of claims 1 to 7. The computer program instructions, when executed by the processor, implement the method of any one of claims 1 to 7.

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