Method and apparatus for determining energy portfolio form of a polygeneration coupled heat supply system
By optimizing the energy load ratio at each moment in the multi-energy coupling heating system, the economic problem of the multi-energy coupling heating system is solved, and the operating costs are reduced while meeting energy needs, thereby improving the economy of the system.
Patent Information
- Application Number
- CN202411244178.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-06
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2044-09-06
AI Technical Summary
The energy control system of the existing multi-energy coupled heating system has a low level of intelligence, digitization and economic operation, and the stable and economical operation of the integrated energy system cannot be guaranteed.
By determining the available load ratio combination of multiple energy sources at each moment in the multi-energy coupling heating system, and based on the goal of minimizing operating costs, the optimal load ratio combination of multiple energy sources in the preset heating time period is optimized to improve the system economy.
While meeting energy needs, it saves the operating costs of the multi-energy coupling heating system to the greatest extent and improves the economy of the integrated energy system.
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Figure CN119146474B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of multi-energy coupling heat supply, and more particularly to a method and device for determining an energy combination form of a multi-energy coupling heat supply system. BACKGROUND
[0002] A medium-deep geothermal (downhole heat exchange) heat supply system generally determines the proportion of geothermal energy in building heat supply load, heat supply process flow, end system form, peak heat supply load adjustment means, and safeguard means according to factors such as the geology, site, building energy demand, and other heat sources of the project location. When the medium-deep geothermal energy heat pump system cannot fully meet the building heating demand, auxiliary heating should be considered, and the auxiliary heating energy should preferably be clean energy.
[0003] When a comprehensive energy system form is adopted by using multiple energy sources in collaborative coupling, the degree of intelligent, digital, and economic operation of the energy control system is not high, and the stable and economic operation of the comprehensive energy system cannot be guaranteed.
[0004] How to meet energy demand while improving the economy of a comprehensive energy system has become a technical problem to be solved in the field. SUMMARY
[0005] In view of this, the present application provides a method and device for determining an energy combination form of a multi-energy coupling heat supply system to meet energy demand while improving the economy of the multi-energy coupling heat supply system.
[0006] In a first aspect, an embodiment of the present application provides a method for determining an energy combination form of a multi-energy coupling heat supply system, the method comprising: determining, for each time in a preset heating period, a time-available load proportion combination of multiple energy sources used in the multi-energy coupling heat supply system, wherein for any time in the preset heating period, the time-available load proportion combination is a load proportion combination of the multiple energy sources that can be used at the time, the load proportion combination includes a load proportion of each energy source in the multiple energy sources, and the multiple energy sources at least include renewable energy; and determining, based on the time-available load proportion combination corresponding to each time, an optimal load proportion combination of the multiple energy sources in the preset heating period with the lowest operation cost of the multi-energy coupling heat supply system as the target to determine the energy combination form of the multi-energy coupling heat supply system.
[0007] Optionally, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: when the multiple energy sources are all renewable energy sources, determining the optimal load proportion combination at each moment based on the available load proportion combination at each moment, and determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the optimal load proportion combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load proportion combination at that moment is the load proportion combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when the multiple energy sources are not all renewable energy sources, determining the total available load proportion combination of the multiple energy sources in the preset heating time period based on the available load proportion combination corresponding to each moment, and determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.
[0008] Optionally, for any moment, determining the optimal load proportion combination at that moment based on the available load proportion combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load proportion combination at that moment; and comparing the first operating costs corresponding to the available load proportion combinations at all moments to determine the lowest first operating cost, wherein the available load proportion combination at that moment corresponding to the lowest first operating cost is the optimal load proportion combination at that moment.
[0009] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for each available load share combination at that moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.
[0010] Optionally, based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: for each total available load proportion combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period.
[0011] Optionally, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: step 1, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step 2, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal economic performance value of the multi-energy coupling heating system; step 3, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step 4, comparing the second system COP with the optimal economic performance value in the case of a second system COP that meets the preset conditions In the case of a second system COP that meets the preset condition, the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the total available load share combination corresponding to the second system COP that meets the preset condition; Step 5, in the case that there is no second system COP that meets the preset condition, based on the total available load share combination that is removed from all the total available load share combinations except the total available load share combination corresponding to the lowest second operating cost, repeat steps 1 to 3 until a second system COP that meets the preset condition is determined, and the total available load share combination corresponding to the second system COP that meets the preset condition is determined as the optimal load share combination of the multiple energy sources in the preset heating time period.
[0012] In a second aspect, an embodiment of the present application also provides a device for determining the energy combination form of a multi-energy coupling heating system, the device comprising: a moment-available load proportion combination determination module, for determining, for each moment within a preset heating time period, the moment-available load proportion combination of the multiple energy sources used in the multi-energy coupling heating system, wherein, for any moment within the preset heating time period, the moment-available load proportion combination is the load proportion combination of the multiple energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each energy source in the multiple energy sources, and the multiple energy sources include at least renewable energy; an optimal load proportion combination determination module, for determining, based on the moment-available load proportion combination corresponding to each moment, the optimal load proportion combination of the multiple energy sources in the preset heating time period, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.
[0013] Optionally, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: when the multiple energy sources are all renewable energy sources, determining the optimal load proportion combination at each moment based on the available load proportion combination at each moment, and determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the optimal load proportion combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load proportion combination at that moment is the load proportion combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when the multiple energy sources are not all renewable energy sources, determining the total available load proportion combination of the multiple energy sources in the preset heating time period based on the available load proportion combination corresponding to each moment, and determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.
[0014] Optionally, for any moment, determining the optimal load proportion combination at that moment based on the available load proportion combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load proportion combination at that moment; and comparing the first operating costs corresponding to the available load proportion combinations at all moments to determine the lowest first operating cost, wherein the available load proportion combination at that moment corresponding to the lowest first operating cost is the optimal load proportion combination at that moment.
[0015] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for each available load share combination at that moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.
[0016] Optionally, based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: for each total available load proportion combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period.
[0017] Optionally, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: step 1, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step 2, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal economic performance value of the multi-energy coupling heating system; step 3, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step 4, comparing the second system COP with the optimal economic performance value in the case of a second system COP that meets the preset conditions In the case of a second system COP that meets the preset condition, the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the total available load share combination corresponding to the second system COP that meets the preset condition; Step 5, in the case that there is no second system COP that meets the preset condition, based on the total available load share combination that is removed from all the total available load share combinations except the total available load share combination corresponding to the lowest second operating cost, repeat steps 1 to 3 until a second system COP that meets the preset condition is determined, and the total available load share combination corresponding to the second system COP that meets the preset condition is determined as the optimal load share combination of the multiple energy sources in the preset heating time period.
[0018] In a third aspect, an embodiment of the present application further provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configure the processor to execute the steps according to the above method.
[0019] According to the technical solution of the present application, based on the available load ratio combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system. In this way, when determining the energy combination form of the multi-energy coupling heating system, the operating cost of the multi-energy coupling heating system is taken into consideration, and the goal is to minimize the operating cost of the multi-energy coupling heating system. Therefore, the energy combination form of the determined multi-energy coupling heating system saves the operating cost of the multi-energy coupling heating system to the maximum extent, improves the economy of the multi-energy coupling heating system, and achieves the improvement of the economy of the comprehensive energy system while meeting energy needs.
[0020] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] The accompanying drawings, which constitute part of this application, are used to provide a further understanding of the application, and the exemplary embodiments of the application and their descriptions are used to explain the application. In the accompanying drawings:
[0022] Figure 1 Flowchart of a method for determining an energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application;
[0023] Figure 2 A logic diagram of a method for determining an energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application; and
[0024] Figure 3 This is a structural block diagram of an apparatus for determining an energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. DETAILED DESCRIPTION
[0025] The technical solution of the present application will be described in detail below with reference to the accompanying drawings and in combination with the implementation methods.
[0026] In a first aspect, an embodiment of the present application provides a method for determining an energy combination form of a multi-energy coupling heating system.
[0027] Figure 1 Flowchart of a method for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. Figure 1 As shown, the method includes the following contents.
[0028] In step S10, for each moment in the preset heating time period, a momentary available load share combination of multiple energy sources used in the multi-energy coupling heating system is determined. For any moment in the preset heating time period, the momentary available load share combination is a load share combination of the multiple energy sources available at that moment. The load share combination includes the load share of each of the multiple energy sources, where the multiple energy sources include at least renewable energy. For any load share combination, the sum of all load shares is 1.
[0029] In the embodiments of this application, the renewable energy source may be medium-deep geothermal energy. Medium-deep geothermal (downhole heat exchange) technology, as a renewable energy application target, primarily comprises a medium-deep geothermal (downhole heat exchange) heating system. This system primarily consists of three components: a geothermal well and downhole pipelines, a heat pump system, and a terminal heating system.
[0030] Among them, in the embodiment of the present application, the preset heating time period can be determined according to actual conditions, for example, it can be determined according to the entire winter heating time. The time within the preset heating time period can be determined according to specific conditions.
[0031] Furthermore, in the embodiments of the present application, the available load ratio combination at each moment can be set based on the energy consumption and / or the operating costs of the multi-energy coupled heating system; alternatively, the available load ratio combination can be further specified based on the installed capacity ratio of renewable energy. The installed capacity ratio refers to the maximum load capacity of the equipment that can be supported by equipping multiple energy sources according to the peak load value during the building heating season. The installed capacity ratio represents the maximum operating capacity of the equipment and is a prerequisite for determining the available load ratio combination at each moment.
[0032] In addition, in the embodiments of the present application, the multiple energy sources may include only renewable energy or a combination of renewable energy and traditional energy. Traditional energy refers to other energy sources capable of providing heat in the heating field other than renewable energy, such as gas boilers, municipal heating, etc.
[0033] In step S11, based on the available load ratio combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.
[0034] Optionally, in an embodiment of the present application, based on the available load ratio combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined, which may include the following contents.
[0035] If all energy sources are renewable, the following steps are performed: At each moment, the optimal load ratio combination is determined based on the available load ratio combinations at that moment. Based on the optimal load ratio combination at each moment, the optimal load ratio combination of the multiple energy sources for the preset heating period is determined to determine the energy mix for the multi-energy coupled heating system. For any moment, the optimal load ratio combination is the load ratio combination that minimizes the operating costs of the multi-energy coupled heating system at that moment.
[0036] Specifically, in the embodiments of the present application, for each energy source, the optimal load share corresponding to that energy source in the optimal load share combination at each moment is combined with the following information to determine the optimal load share combination. At each moment, the total building energy consumption at that moment is multiplied by the optimal load share of the energy source to determine the load borne by the energy source at that moment. The optimal load share of the energy source for the preset heating period is obtained by summing the loads calculated at all moments and dividing it by the sum of the total building energy consumption at all moments.
[0037] And / or, in the case where the multiple energy sources are not all renewable energy sources, perform the following.
[0038] The total available load share combination of multiple energy sources for the preset heating period is determined based on the available load share combination corresponding to each moment. The total available load share combination is the load share combination of multiple energy sources that can be used based on the preset heating period, and is the result of coupling the available load share combinations selected at each moment within the preset heating period.
[0039] Specifically, the available load proportion combinations corresponding to each moment are arranged and combined; for the result of each arrangement and combination, based on the available load proportion combinations included therein, the total available load proportion combination of multiple energy sources in the preset heating time period is determined. There are as many results of the total available load proportion combination as there are results of the arrangement and combination. For example, there are a total of 3 moments, and each moment has 3 available load proportion combinations, then the result of the arrangement and combination is 27, and a total available load proportion combination can be determined for each result, and the result of the total available load proportion combination is 27. In addition, for the result of any arrangement and combination, how to determine the total available load proportion combination can be understood by referring to the relevant explanation of "determining the optimal load proportion combination of multiple energy sources in the preset heating time period based on the optimal load proportion combination at each moment" in the above embodiment.
[0040] Specifically, for any permutation and combination, the total available load share combination can be determined by referring to the following. For each energy source, combined with the available load share combination at each moment included in the permutation and combination, the total available load share of that energy source during the preset heating period is determined based on the following information to determine the total available load share combination. At each moment, the total building energy consumption at that moment is multiplied by the available load share of the energy source to determine the load borne by that energy source at that moment. The total available load share of the energy source during the preset heating period is calculated by dividing the sum of the loads calculated at all moments by the sum of the total building energy consumption at all moments.
[0041] Based on the determined total available load ratio combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.
[0042] In an embodiment of the present application, at any moment, the optimal load proportion combination at the moment is determined based on the available load proportion combination at the moment, which can be determined based on the operating cost and / or system COP of the multi-energy coupling heating system.
[0043] Optionally, in an embodiment of the present application, for any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment may include the following contents.
[0044] For each available load ratio combination at a given moment, a first operating cost of the multi-energy coupling heating system is determined, wherein the first operating cost of the multi-energy coupling heating system is the operating cost determined based on the available load ratio combination at a given moment.
[0045] The first operating costs corresponding to all available load ratio combinations at each moment are compared to determine the lowest first operating cost. In other words, by comparing the first operating costs corresponding to all available load ratio combinations at each moment, the lowest of all first operating costs is determined as the lowest first operating cost. The available load ratio combination at each moment corresponding to the lowest first operating cost is the optimal load ratio combination at that moment.
[0046] Optionally, in an embodiment of the present application, determining the first operating cost of the multi-energy coupling heating system for the available load proportion combination at any moment may include the following contents.
[0047] Based on the available load ratio combination at the moment, determine the heat consumption of each energy source. The sum of the heat consumption of all energy sources is the total energy consumption of the building, that is, Formula 1:
[0048] Q 种类1 +Q 种类2 =Q 建筑总能耗
[0049] Q 11 +Q 12 +…+Q 1i +…+Q 1n =Q 种类1
[0050] Q 21 +Q 22 +…+Q 2i +…+Q 2m =Q 种类2
[0051] Among them, Q 种类1 It represents the total energy consumption of renewable energy in the multi-energy coupling heating system; Q 种类2 It represents the total energy consumption of multiple energy sources except renewable energy in the multi-energy coupling heating system; Q 建筑总能耗 represents the total energy consumption of the building heated by the multi-energy coupling heating system; Q 1i represents the heat consumption of renewable energy i; n represents the total number of types of renewable energy; Q 2i represents the heat consumption of other energy sources i; m represents the total number of types of other energy sources. 建筑总能耗 It should be noted that, in the embodiments of the present application, category 1 represents renewable energy; category 2 represents energy sources other than renewable energy.
[0052] The time available load proportion combination indicates the load proportion of each of the plurality of energies. Combining the time available load proportion combination with Formula One, the heat consumption of each energy can be obtained. It should be noted that when the plurality of energies used by the multi-energy coupled heating system are all renewable energies, the sum of the heat consumptions of the plurality of energies is the total energy consumption of the building. In addition, when the calculation is performed for a certain time, the total energy consumption of the building is the total energy consumption of the building at the time.
[0053] For each energy, the electricity consumption is determined based on the heat consumption. It should be noted that for renewable energy, the electricity consumption can be determined based on the heat consumption. Specifically, the conversion formula between the heat consumption and the electricity consumption, namely, Formula Two: Q 1i = W 1i × COP 1i is combined. Wherein Q 1i represents the heat consumption of the renewable energy 1i; W 1i represents the electricity consumption of the renewable energy 1i; COP 1i represents the unit power heating capacity of the renewable energy 1i. When Formula Two is used to calculate the electricity consumption, COP 1i is known. Specifically, in the case where the available load proportion is determined, COP 1i can be obtained by determining the equipment parameter selection of the manufacturer.
[0054] The first operation cost of the multi-energy coupled heating system is determined based on the electricity consumption of each energy and a preset operation cost calculation formula. Specifically, the preset operation cost calculation formula is Formula Three: ∑(W 11 × Pe 11 +W 12 × Pr 12 +…+W 1i × Pr 1i +…+W 1n × Pr 1n +Q 21 × Pr 21 +Q 22 × Pr 22 +…+Q 2i × Pr 2i +…+Q 2n × Pr 2n ).
[0055] Wherein W 1i represents the electricity consumption of the renewable energy 1i; Pr 1i represents the electricity price of the renewable energy 1i; Q 2i represents the heat consumption of the other energy 2i; Pr 2i represents the heat price of the other energy 2i. Alternatively, in the embodiments of the present application, W1i The unit can be kW; Pr 1i The unit can be RMB / kWh; Q 2i The unit can be GJ; Pr 2i The unit can be Yuan / GJ.
[0056] It should be noted that when only renewable energy is used as a source of energy, the first operating cost is calculated using only the electricity consumption and price of renewable energy. Furthermore, when the calculation is performed for a specific moment, the calculated operating cost is the operating cost for that moment.
[0057] Optionally, in an embodiment of the present application, the system COP for the entire preset heating period is determined based on the optimal load ratio combination corresponding to each moment. Combined with the above analysis, it can be seen that for any optimal load ratio combination corresponding to any moment, the heat consumption and electricity consumption of each energy source can be calculated. For each energy source, the heat consumption at each moment is summed to obtain the corresponding heat consumption of each energy source for the entire preset heating period. The heat consumption of all energy sources for the entire preset heating period is summed to obtain the corresponding heat consumption of all energy sources for the entire preset heating period. For each energy source, the electricity consumption at each moment is summed to obtain the corresponding electricity consumption of each energy source for the entire preset heating period. The electricity consumption of all energy sources for the entire preset heating period is summed to obtain the corresponding electricity consumption of all energy sources for the entire preset heating period. The heat consumption of all energy sources for the entire preset heating period is divided by the corresponding electricity consumption of all energy sources for the entire preset heating period to obtain the system COP for the entire preset heating period. The system COP for the entire preset heating period is displayed by a control, allowing personnel to determine the standard for adjusting the load ratio of multiple coupled energy sources and effectively adjust the load ratio of multiple coupled energy sources.
[0058] Optionally, in an embodiment of the present application, for any moment, determining the optimal load proportion combination at the moment based on the available load proportion combinations at the moment may include the following contents.
[0059] For each available load ratio combination at each moment, the first system COP of the multi-energy coupling heating system is determined.
[0060] Specifically, for any available load ratio combination at any moment, the first system COP can be determined according to the following: The first system COPs corresponding to all available load ratio combinations at each moment are compared to determine the maximum first system COP. The available load ratio combination at that moment corresponding to the maximum first system COP is the optimal load ratio combination at that moment.
[0061] Optionally, in an embodiment of the present application, determining the first system COP of the multi-energy coupled heating system for any available load ratio combination at any moment may include the following: The first system COP is the heating capacity per unit power of the multi-energy coupled heating system, specifically, the ratio of the total heat consumption of all renewable energy sources in the multiple energy sources to the total electricity consumption.
[0062] Based on the available load percentage combination at that moment, the heat consumption of each of the multiple energy sources is determined. For each energy source, the power consumption is determined based on the heat consumption. Specifically, how to determine the heat consumption and power consumption of each energy source can be referred to the above embodiments. Based on the heat consumption and power consumption of each energy source, the first system COP of the multi-energy coupled heating system is determined. The heat consumption of all energy sources is summed to obtain the total heat consumption, the power consumption of all energy sources is summed to obtain the total power consumption, and the total heat consumption is divided by the total power consumption to obtain the first system COP.
[0063] Optionally, in an embodiment of the present application, based on the determined total available load ratio combination, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load ratio combination of multiple energy sources in a preset heating time period is determined, which may include the following contents.
[0064] For each total available load ratio combination, the second system COP and the second operating cost of the multi-energy coupling heating system are determined.
[0065] Specifically, for any total available load proportion combination, determining the second system COP may include the following contents.
[0066] Combining the total available load percentage with Formula 1 yields the heat consumption of each energy source. It should be noted that the heat consumption of each renewable energy source and each other energy source is obtained here, and the total building energy consumption used is the total building energy consumption during the preset heating period. For renewable energy sources, electricity consumption is determined based on Formula 2. The heat consumption of all renewable energy sources is summed to obtain the total heat consumption of renewable energy sources, the electricity consumption of all renewable energy sources is summed to obtain the total electricity consumption of renewable energy sources, and the total heat consumption of renewable energy sources is divided by the total electricity consumption to obtain the second system COP.
[0067] Specifically, for any total available load proportion combination, determining the second operating cost may include the following contents.
[0068] Based on the above analysis, we can obtain the electricity consumption of each renewable energy source and the heat consumption of each other energy source, and combine them with Formula 3 to obtain the second operating cost. It should be noted that the operating cost calculated here refers to the operating cost based on the preset heating time period.
[0069] Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined.
[0070] Optionally, in an embodiment of the present application, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupled heating system, determining the optimal load share combination of multiple energy sources during a preset heating time period may include the following: comparing the second operating costs corresponding to all total available load share combinations to determine the lowest second operating cost. Determining the optimal load share combination of multiple energy sources during a preset heating time period based on the determined second system COP and the lowest second operating cost.
[0071] Optionally, in an embodiment of the present application, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load ratio combination of multiple energy sources in a preset heating time period is determined, which may include the following contents.
[0072] Step 1: Compare the second operating costs corresponding to all total available load ratio combinations to determine the lowest second operating cost, wherein the lowest second operating cost is the lowest of the second operating costs corresponding to all total available load ratio combinations.
[0073] Step 2: Based on the total available load ratio combination corresponding to the second lowest operating cost and combined with the preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system.
[0074] Optionally, in an embodiment of the present application, the preset economic performance calculation formula is the difference between the sum of the products of the heat consumption and electricity prices of all renewable energy sources divided by the product of the total building energy consumption and the basic energy electricity price minus the sum of the products of the heat consumption and heat prices of all other energy sources, Formula 4:
[0075]
[0076] According to the above analysis, each total available load ratio combination corresponds to a second operating cost, and the lowest second operating cost corresponds to a total available load ratio combination. According to the above analysis, based on the total available load ratio combination, the heat consumption of each energy source and the electricity consumption of each renewable energy source can be determined. Therefore, combined with Formula 4, a CEPE value can be determined. This CEPE value is the optimal economic performance value of the multi-energy coupling heating system. Pr 参照基础能源The basic energy price represents a basic energy price of coupled heat supply determined according to the reference project and the building characteristics, that is, a basic energy price of the total energy consumption of the building determined according to different energy types and their prices and heat prices of coupled heat supply. The basic energy price needs to be determined according to different project characteristics. In the embodiment, Pr 参照基础能源 is known.
[0077] Step three, comparing each second system COP with the economic performance optimal value to determine whether the second system COP meets the preset condition. Alternatively, in the embodiment, the preset condition is that the second system COP is greater than or equal to the economic performance optimal value.
[0078] Step four, in the case where the second system COP meets the preset condition, determining the optimal load ratio combination of the multiple energies in the preset heating period based on the total available load ratio combination corresponding to the second system COP meeting the preset condition. According to the above analysis, each second system COP corresponds to a total available load ratio combination. In the case where only one second system COP meets the preset condition, the total available load ratio combination corresponding to the second system COP meeting the preset condition is determined as the optimal load ratio combination of the multiple energies in the preset heating period. In the case where multiple second system COPs meet the preset condition, the total available load ratio combination corresponding to the maximum second system COP meeting the preset condition is determined as the optimal load ratio combination of the multiple energies in the preset heating period.
[0079] Step five, in the case where the second system COP does not meet the preset condition, repeating steps one to three based on the total available load ratio combinations after removing the total available load ratio combination corresponding to the minimum second operating cost, until a second system COP meeting the preset condition is determined, and the total available load ratio combination corresponding to the second system COP meeting the preset condition is determined as the optimal load ratio combination of the multiple energies in the preset heating period.
[0080] In the absence of a second system COP that meets the preset conditions, all total available load ratio combinations are screened, and the total available load ratio combination corresponding to the lowest second operating cost is removed. Based on the remaining total available load ratio combinations, the lowest second operating cost is repeatedly solved, the optimal economic performance value of the multi-energy coupling heating system is determined, and each second system COP is compared with the optimal economic performance value. It should be noted that in the process of repeated calculations, when comparing each second system COP with the optimal economic performance value, all second system COPs corresponding to all total available load ratio combinations are compared with the optimal economic performance value, rather than comparing all second system COPs corresponding to the remaining total available load ratio combinations with the most recently determined optimal economic performance value. In addition, when repeating steps one to three, if there is no second system COP that meets the preset conditions, continue to reread steps one to three until there is a second system COP that meets the preset price adjustment.
[0081] Optionally, in an embodiment of the present application, the preset condition is that the COP of the second system is greater than or equal to the optimal value of economic performance.
[0082] Figure 2 This is a logic diagram of a method for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. Figure 2 , taking a new office building project as an example, the method provided in the implementation mode of this application is exemplarily introduced.
[0083] The energy mix of a multi-energy coupled heating system can be divided into two approaches to meet the total building load: coupling multiple renewable energy sources or coupling multiple renewable energy sources with some traditional energy sources. The energy mix of a multi-energy coupled heating system should be determined based on factors such as the project characteristics and the energy endowment of the region.
[0084] In this implementation, the Economic Performance Correlation Evaluation (CEPE) involves different energy types (Type 1 and Type 2), with multiple energy sources contributing to the building's total energy consumption. Type 1 refers to renewable energy, and Type 2 refers to other energy sources. Considering the heating characteristics of renewable energy (e.g., medium- and deep-layer heating), such as high initial investment and large fluctuations in building loads, a coupled heating method using other energy sources is used to contribute to the building's total winter heating load. Renewable energy sources contribute to the system electricity consumption and hourly electricity price required for the building's base load, while other energy sources contribute to the heat required and price during peak load periods. Furthermore, factors such as renewable energy sustainability and operational economics are combined to determine the CEPE mathematical model for the Economic Performance Correlation Evaluation of the Multi-Energy Coupled Heating System.
[0085] By proposing the concept of Correlated Economic Performance Evaluation (CEPE), a key evaluation indicator for the rational allocation of renewable energy heating capacity within a coupled heating model, a heating solution can be implemented that utilizes traditional heating methods for peak load regulation during peak load periods, while the renewable energy heating system meets the building's base load. This multi-energy coupled heating concept further achieves the goal of low-carbon economic operation of the system. The technical solutions provided by the embodiments of this application can maximize economic efficiency while ensuring maximum operating cost savings.
[0086] In this embodiment, the total energy consumption of the building, the price of the reference basic energy Pr 参照基础能源 , the electricity price of renewable energy and the heat price of other energy are known.
[0087] In this implementation, it is assumed that the multiple energy sources include three types: E1, E2, and E3. Based on the project's characteristics, the available energy forms and their corresponding installed capacity percentages are determined. Specifically, the respective E1, E2, and E3 energy types are determined, along with the installed capacity percentages for each renewable energy source. The installed capacity percentages can be determined based on a variety of factors, including local policies, project characteristics, and the endowment and application of renewable energy in the project region.
[0088] Determine whether multiple energy sources are renewable energy.
[0089] If multiple energy sources are renewable, the following applies. For example, the three renewable energy sources are medium- and deep-seated geothermal, air-based, and sewage-based.
[0090] At each moment, the available load ratio combination is determined based on the installed capacity ratio. Assuming that the installed capacity ratios of the three renewable energy sources are A%, B%, and C%, respectively, at a certain moment, the proportion of the three renewable energy sources in assuming the building load is condition K, and the proportions are a, K %, b K %, c K %, where (a K %+b K %+c K % = 1, working condition K = 1, 2, 3 ...). In other words, the available load ratio combination at the moment corresponding to working condition K is a K %, b K %, c K %; there are multiple operating conditions at each moment. Specifically, in the embodiments of this application, for each renewable energy source, the available load percentage at that moment can be determined based on the installed capacity percentage, to determine the available load percentage combination at that moment. The installed capacity of the renewable energy source is determined based on the installed capacity percentage and the building's peak demand. The available load percentage at that moment is determined based on the principle that the load determined based on the available load percentage at that moment is less than the installed capacity.
[0091] For each moment, determine the optimal load ratio combination at that moment. Specifically, for any moment, refer to the following content to determine the optimal load ratio combination at that moment.
[0092] For the working condition K(a K %+b K %+c K %, such as 80% + 10% + 10%), combined with Formula 1, determine the heat consumption of each energy source. For each energy source, use Formula 2 to determine the electricity consumption. In other words, for each operating condition K at any given moment, determine the heat consumption and electricity consumption of each energy source. It should be noted that if multiple energy sources are renewable, the sum of the heat consumption of the renewable energy sources is the total energy consumption of the building.
[0093] For each operating condition K (equivalent to the available load ratio combination at the moment), add up the heat consumption of all energy sources to obtain the total heat consumption, add up the electricity consumption of all energy sources to obtain the total electricity consumption, and divide the total heat consumption by the total electricity consumption to obtain the first system COP. Compare the first system COPs corresponding to all operating conditions to determine the maximum first system COP. Among them, the operating condition corresponding to the maximum first system COP is the optimal load ratio combination at that moment. Specifically, all operating conditions are sorted, and the first system COPs of two operating conditions with adjacent serial numbers are randomly selected for comparison. For example, serial numbers i and j, and i is less than j. If the first system COP of operating condition i is greater than or equal to the first system COP of operating condition j, execute j=j+1; if the first system COP of operating condition i is less than the first system COP of operating condition j, execute i=i-1. Until the maximum value of the first system COPs corresponding to all operating conditions is found.
[0094] Based on the optimal load ratio combination at each moment, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.
[0095] In the case that multiple energy sources are not renewable energy, in other words, when there are other energy sources besides renewable energy among the multiple energy sources, the following shall be implemented. For example, the three energy sources are medium-deep geothermal, air source and gas boiler. In addition, the basic energy electricity price Pr is determined according to the characteristics of the project (existing project renovation, new project, optimized operation project). 参照基础能源 For new construction scenarios, please refer to the unit price of gas for new projects. i At this moment, the building energy consumption is Q 建筑总能耗 , the electricity price of deep geothermal 电 , air source electricity price Pr 电The heat price, Pr, of the gas boiler is a known value. Furthermore, assuming that renewable energy in the building's region contributes at least 60% to the coupled heating system, we assume that the two renewable energy sources (Type 1) account for 60% of the installed capacity, with the remaining 40% supplemented by traditional energy (Type 2). The installed capacity percentage in other regions can be determined based on a variety of factors, including local policies, project characteristics, and the region's renewable energy endowment and application.
[0096] At each moment, the available load ratio combination is determined based on the energy consumption and operating costs. In other words, at each moment, the possible operating conditions are determined based on the energy consumption and operating costs.
[0097] In general, there are the following formulas 1, 2, and 5, among which formula 5:
[0098] W 11 ×Pr 11 +W 12 ×Pr 12 +…+W 1i ×Pr 1i +…+W 1n ×Pr 1n +Q 21 ×Pr 21 +Q 22 ×Pr 22 +…+Q 2i ×Pr 2i +…+Q 2n ×Pr 2n ≤Q 建筑总能耗 ×Pr 参照基础能源 .
[0099] Affected by different time i Due to the influence of building load changes, at a single moment, the building load may be less than the peak load of the building. That is, the proportion of a single energy or several energy sources in the building load may change. In other words, the proportion of multiple energy sources in the building load is not a fixed value, and there are multiple energy types. i , bear the phenomenon that the building load is less than the building peak load, that is, the equipment is running at partial load Q′ 建筑总能耗 <Q 建筑总能耗 Then Formula 1 and Formula 5 can be rewritten as:
[0100] Formula 6:
[0101] Q 种类1 +Q 种类2 =Q′ 建筑总能耗 <Q 建筑总能耗
[0102] Q11 +Q 12 +…+Q 1i +…+Q 1n =Q 种类1
[0103] Q 21 +Q 22 +…+Q 2i +…+Q 2m =Q 种类2
[0104] Formula 7: W 11 ×Pr 11 +W 12 ×Pr 12 +…+W 1i ×Pr 1i +…+W 1n ×Pr 1n +Q 21 ×Pr 21 +Q 22 ×Pr 22 +…+Q 2i ×Pr 2i +…+Q 2n ×Pr 2n <Q′ 建筑总能耗 ×Pr 参照基础能源 .
[0105] According to Formula 6 and Formula 7, for each moment, the available load ratio combination is determined.
[0106] At a certain moment t i There are many combinations of energy type 1 and energy type 2 with different load ratios that can meet the requirements of formula 6. For example, Q 种类1 =70%Q′ 建筑总能耗 , Q 种类2 =30Q′ 建筑总能耗 For example, Q 种类1 =100%Q′ 建筑总能耗 , Q 种类2 =0%Q′ 建筑总能耗 Etc. Among them, energy type 1 heat consumption Q 种类1 This refers to the sum of the heat consumption of two renewable energy sources (medium-deep geothermal and air source, and can also refer to multiple sources depending on the actual project situation). i , the heat consumption of the two renewable energy sources can be expressed as Q 11 and Q 12 Among them, Q 11 +Q 12 =Q 种类1 That is, at a certain moment t i , Q 11 , Q12 and Q 种类2 The change in the proportion of the total building load. For example, Q 11 =40%Q′ 建筑总能耗 , Q 12 =30%Q′ 建筑总能耗 , Q 种类2 =30%Q′ 建筑总能耗 For example, Q 11 =50%Q′ 建筑总能耗 , Q 12 =50%Q′ 建筑总能耗 , Q 种类2 =0%Q′ 建筑总能耗 It should be noted that, in the embodiment of the present application, the combination of available load proportions at the moment needs to satisfy both Formula 6 and Formula 7. In addition, in the embodiment of the present application, Q′ 建筑总能耗 is known.
[0107] The total available load ratio combination of multiple energy sources in the preset heating time period is determined based on the available load ratio combination corresponding to each moment.
[0108] For each total available load percentage combination, a second system COP and a second operating cost of the multi-energy coupled heating system are determined. The second operating costs corresponding to all total available load percentage combinations are compared to determine the lowest second operating cost. Based on the total available load percentage combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, the optimal economic performance value of the multi-energy coupled heating system is determined. For details, please refer to the relevant description of the above embodiment.
[0109] Each second system COP is compared with the economic performance optimum value to determine whether the second system COP satisfies a preset condition.
[0110] In the case of a second system COP that meets the preset conditions, the total available load proportion combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load proportion combination of multiple energy sources in the preset heating time period.
[0111] If no second system COP that meets the preset conditions exists, the total available load percentage combination corresponding to the lowest second operating cost is removed, and the lowest second operating cost is re-determined. For information on how to re-determine the lowest second operating cost, please refer to the description of the first determination of the lowest second operating cost. The re-determined lowest second operating cost replaces the previously determined lowest second operating cost and is compared with all second system COPs. Based on the re-determined lowest second operating cost and all second system COPs, a determination is made as to whether a second system COP that meets the preset conditions exists. If so, the total available load percentage combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load percentage combination for the multiple energy sources during the preset heating time period. If no second system COP that meets the preset conditions still exists, the total available load percentage combination corresponding to the re-determined lowest second operating cost is removed, the lowest second operating cost is re-determined, and the re-determined second operating cost is again compared with all second system COPs. This cycle continues until a second system COP that meets the preset conditions is found. The preset condition is that the second system COP is greater than or equal to the optimal economic performance value.
[0112] In the embodiment of the present application, the system power consumption required by renewable energy (such as deep and medium geothermal systems) to bear the building's basic load, the hourly electricity price, and the heat required by other energy sources and the heat price during peak load demand periods are comprehensively considered at each moment, and the definition of the economic performance correlation evaluation CEPE can be obtained, namely Formula 4. In addition, in the embodiment of the present application, when multi-energy coupling heating is adopted, it is assumed that renewable energy and other energy sources jointly bear the total load demand of the building (Formula 5, Formula 1), with the goal of maximizing the savings in system operating costs, that is, the lowest heating cost of coupling renewable energy (type 1) with other energy sources (type 2) (Formula 3), to determine the optimal value of the economic performance correlation evaluation CEPE. In addition, in the embodiment of the present application, the total energy consumption of the building, the electricity price, and the heat price are known.
[0113] In the implementation mode of the present application, the coupled heating concept is adopted, and renewable energy and other energy sources jointly bear the total winter load demand of the building. The system power consumption required by renewable energy to bear the basic load of the building, the hourly electricity price, and the heat required by other energy sources and the heat price during the peak load demand period are comprehensively considered. In order to save the system operating costs to the maximum extent, that is, to minimize the cost of coupled heating of renewable energy and other energy sources, a CEPE mathematical model of economic performance correlation evaluation is established. This is used as a guiding basis and evaluation indicator for the proportion of system coupled heating in the actual operation process, and finally the operation strategy of the multi-energy coupled heating system is determined.
[0114] The technical scheme provided by the embodiment of the application can achieve the following effects: 1) renewable energy and other energy coupling stability heating, which further improves the sustainability of renewable energy heating; 2) considering the actual demand of the building, the coupling heating system supplies heat on demand to avoid energy waste; 3) the proportion of the coupled energy load can be adjusted according to the actual demand and needs to meet the relevant policy requirements; 4) taking the maximum saving of the actual operation cost of the system as the target, the economic performance correlation evaluation CEPE of different load rates is determined, and the heating proportion of renewable energy and traditional energy is coupled based on the economic performance correlation evaluation CEPE, so as to achieve the maximum energy saving operation; 5) to improve the intelligent control means of renewable energy utilization, provide a theoretical basis for realizing efficient, low-carbon, energy-saving and economic operation strategy; 6) can guide the social application of renewable energy (such as medium-deep geothermal resources) in low-quality areas; 7) the economic performance correlation evaluation CEPE is provided, which realizes the evaluation of the system economy and system performance of the multi-energy coupling heating system, and provides an economic evaluation method for the multi-energy coupling heating system.
[0115] The technical scheme provided by the embodiment of the application is to determine the energy combination form of the multi-energy coupling heating system under the condition of the determined installed capacity proportion. When the installed capacity proportion changes, the technical scheme described in the above embodiment is repeated to determine the energy combination form of the multi-energy coupling heating system. For example, the renewable energy installed capacity proportion can be further adjusted in combination with local policies, project characteristics, and renewable energy endowment and application conditions in the project area.
[0116] In a second aspect, the embodiment of the application further provides a device for determining the energy combination form of the multi-energy coupling heating system.
[0117] Figure 3 The structure block diagram of the device for determining the energy combination form of the multi-energy coupling heating system according to the preferred embodiment of the application is shown in FIG. 1. As shown in FIG. 1, the device includes a time available load proportion combination determination module 1 and an optimal load proportion combination determination module 2. Figure 3
[0118] The time available load proportion combination determination module 1 is used to determine the time available load proportion combination of the multiple energies used in the multi-energy coupling heating system for each time in the preset heating period. For any time in the preset heating period, the time available load proportion combination is the load proportion combination of the multiple energies that can be used at the time, and the load proportion combination includes the load proportion of each energy in the multiple energies, and the multiple energies at least include renewable energy.
[0119] The optimal load proportion combination determination module 2 is used to determine the optimal load proportion combination of multiple energy sources in the preset heating time period based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.
[0120] Optionally, in an embodiment of the present application, based on the available load share combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of multiple energy sources in the preset heating time period is determined, including: when multiple energy sources are all renewable energy sources, determining the optimal load share combination at each moment based on the available load share combination at each moment, and determining the optimal load share combination of multiple energy sources in the preset heating time period based on the optimal load share combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at the moment is the load share combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when multiple energy sources are not all renewable energy sources, determining the total available load share combination of multiple energy sources in the preset heating time period based on the available load share combination corresponding to each moment, and determining the optimal load share combination of multiple energy sources in the preset heating time period based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.
[0121] Optionally, in an embodiment of the present application, for any moment, determining the optimal load proportion combination at that moment based on the available load proportion combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load proportion combination at that moment; and comparing the first operating costs corresponding to the available load proportion combinations at all moments to determine the lowest first operating cost, wherein the available load proportion combination at that moment corresponding to the lowest first operating cost is the optimal load proportion combination at that moment.
[0122] Optionally, in an embodiment of the present application, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for the available load share combination at each moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.
[0123] Optionally, in an embodiment of the present application, based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of multiple energy sources in a preset heating time period is determined, including: for each total available load share combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load share combination of multiple energy sources in the preset heating time period.
[0124] Optionally, in an embodiment of the present application, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of multiple energy sources in a preset heating time period is determined, including: step 1, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step 2, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal economic performance value of the multi-energy coupling heating system; step 3, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step 4, In the case of having a second system COP that meets the preset conditions, the optimal load share combination of multiple energy sources in the preset heating time period is determined based on the total available load share combination corresponding to the second system COP that meets the preset conditions; Step 5. In the case of not having a second system COP that meets the preset conditions, based on all the total available load share combinations minus the total available load share combination corresponding to the lowest second operating cost, repeat steps 1 to 3 until the second system COP that meets the preset conditions is determined, and the total available load share combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load share combination of multiple energy sources in the preset heating time period.
[0125] The specific working principle and benefits of the device for determining the energy combination form of a multi-energy coupled heating system provided in the embodiment of the present application are similar to the specific working principle and benefits of the method for determining the energy combination form of a multi-energy coupled heating system provided in the embodiment of the present application, and will not be repeated here.
[0126] In a third aspect, an embodiment of the present application further provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configures the processor to execute the steps of the method described in the above embodiment.
[0127] The preferred embodiments of the present application are described in detail above. However, the present application is not limited to the specific details of the above embodiments. Within the technical concept of the present application, various simple modifications can be made to the technical solution of the present application, and these simple modifications all fall within the scope of protection of the present application.
[0128] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner unless there is any contradiction. In order to avoid unnecessary repetition, this application will not further describe various possible combinations.
[0129] In addition, the various embodiments of the present application may be arbitrarily combined, and as long as they do not violate the concept of the present application, they should also be regarded as the contents disclosed by the present invention.
Claims
1. A method for determining the energy combination form of a multi-energy coupling heating system, characterized in that: The method includes: Determining, for each moment within a preset heating time period, a moment-by-moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system, wherein, for any moment within the preset heating time period, the moment-by-moment available load proportion combination is a load proportion combination of the multiple energy sources that can be used at that moment, the load proportion combination including the load proportion of each of the multiple energy sources, wherein the multiple energy sources include at least renewable energy; Based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, so as to determine the energy combination form of the multi-energy coupling heating system; Wherein, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period includes: In a case where the multiple energy sources are all renewable energy sources, determining the optimal load share combination at each moment based on the available load share combination at that moment, and determining the optimal load share combination of the multiple energy sources in the preset heating time period based on each optimal load share combination at that moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at that moment is the load share combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and In the case where the multiple energy sources are not all renewable energy sources, the total available load proportion combination of the multiple energy sources in the preset heating time period is determined based on the available load proportion combination corresponding to each moment; based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.
2. The method according to claim 1, characterized in that For any moment, determining the optimal load proportion combination at that moment based on the available load proportion combinations at that moment includes: Determining a first operating cost of the multi-energy coupling heating system for each available load proportion combination at the moment; and The first operating costs corresponding to the available load proportion combinations at all moments are compared to determine the lowest first operating cost, wherein the available load proportion combination at the moment corresponding to the lowest first operating cost is the optimal load proportion combination at the moment.
3. The method according to claim 1, characterized in that For any moment, determining the optimal load proportion combination at that moment based on the available load proportion combinations at that moment includes: Determining a first system COP of the multi-energy coupling heating system for each available load proportion combination at the moment; The first system COPs corresponding to the available load proportion combinations at all moments are compared to determine the maximum first system COP, wherein the available load proportion combination at the moment corresponding to the maximum first system COP is the optimal load proportion combination at the moment.
4. The method according to claim 1, wherein Based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: For each total available load ratio combination, determining a second system COP and a second operating cost of the multi-energy coupling heating system; Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined.
5. The method according to claim 4, characterized in that Based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load ratio combination of the multiple energy sources in the preset heating time period, including: Step 1: Compare the second operating costs corresponding to all combinations of total available load proportions to determine the lowest second operating cost; Step 2: Based on the total available load ratio combination corresponding to the second lowest operating cost and in combination with a preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system; Step 3: Compare each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets a preset condition; Step 4: When the second system COP satisfies the preset condition, determine the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the total available load proportion combination corresponding to the second system COP that satisfies the preset condition; Step 5. In the absence of a second system COP that meets the preset condition, repeat steps 1 to 3 based on the total available load proportion combinations remaining after removing the total available load proportion combination corresponding to the lowest second operating cost from all total available load proportion combinations until a second system COP that meets the preset condition is determined, and the total available load proportion combination corresponding to the second system COP that meets the preset condition is determined as the optimal load proportion combination of the multiple energy sources in the preset heating time period.
6. A device for determining the energy combination form of a multi-energy coupling heating system, characterized in that: The device includes: a moment-by-moment available load proportion combination determination module, configured to determine, for each moment within a preset heating time period, a moment-by-moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system, wherein, for any moment within the preset heating time period, the moment-by-moment available load proportion combination is a load proportion combination of the multiple energy sources that can be used at that moment, the load proportion combination including the load proportion of each of the multiple energy sources, wherein the multiple energy sources include at least renewable energy; an optimal load proportion combination determining module, configured to determine, based on the available load proportion combination corresponding to each moment, the optimal load proportion combination of the multiple energy sources in the preset heating time period with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system; Wherein, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period includes: In a case where the multiple energy sources are all renewable energy sources, determining the optimal load share combination at each moment based on the available load share combination at that moment, and determining the optimal load share combination of the multiple energy sources in the preset heating time period based on each optimal load share combination at that moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at that moment is the load share combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and In the case where the multiple energy sources are not all renewable energy sources, the total available load proportion combination of the multiple energy sources in the preset heating time period is determined based on the available load proportion combination corresponding to each moment; based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.
7. The device according to claim 6, characterized in that For any moment, determining the optimal load proportion combination at that moment based on the available load proportion combinations at that moment includes: Determining a first operating cost of the multi-energy coupling heating system for each available load proportion combination at the moment; and The first operating costs corresponding to the available load proportion combinations at all moments are compared to determine the lowest first operating cost, wherein the available load proportion combination at the moment corresponding to the lowest first operating cost is the optimal load proportion combination at the moment.
8. The device according to claim 6, characterized in that For any moment, determining the optimal load proportion combination at that moment based on the available load proportion combinations at that moment includes: Determining a first system COP of the multi-energy coupling heating system for each available load proportion combination at the moment; The first system COPs corresponding to the available load proportion combinations at all moments are compared to determine the maximum first system COP, wherein the available load proportion combination at the moment corresponding to the maximum first system COP is the optimal load proportion combination at the moment.
9. The device according to claim 6, characterized in that Based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: For each total available load ratio combination, determining a second system COP and a second operating cost of the multi-energy coupling heating system; Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined.
10. The device according to claim 9, characterized in that Based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load ratio combination of the multiple energy sources in the preset heating time period, including: Step 1: Compare the second operating costs corresponding to all combinations of total available load proportions to determine the lowest second operating cost; Step 2: Based on the total available load ratio combination corresponding to the second lowest operating cost and in combination with a preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system; Step 3: Compare each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets a preset condition; Step 4: When the second system COP satisfies the preset condition, determine the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the total available load proportion combination corresponding to the second system COP that satisfies the preset condition; Step 5. In the absence of a second system COP that meets the preset condition, repeat steps 1 to 3 based on the total available load proportion combinations remaining after removing the total available load proportion combination corresponding to the lowest second operating cost from all total available load proportion combinations until a second system COP that meets the preset condition is determined, and the total available load proportion combination corresponding to the second system COP that meets the preset condition is determined as the optimal load proportion combination of the multiple energy sources in the preset heating time period.
11. A machine-readable storage medium, characterized in that The machine-readable storage medium stores instructions, which, when executed by a processor, cause the processor to be configured to perform the steps of the method according to any one of claims 1 to 5.
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