Oilfield multi-energy complementary collaborative optimization method and system

Abstract

The invention discloses an oil field multi-energy complementary collaborative optimization method and system. The method comprises the following steps: acquiring multiple energy types in a target area and preset equipment parameter values of equipment corresponding to each energy type; respectively calculating an energy consumption index prediction value, a cost index prediction value and a carbon emission index prediction value corresponding to each energy type according to preset equipment parameter values of equipment corresponding to various energy types; and determining an optimal energy type combination meeting a preset target according to the energy consumption index prediction value, the cost index prediction value and the carbon emission index prediction value corresponding to each energy type. And efficient utilization of energy can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy, and particularly relates to a method and system for collaborative optimization of multi-energy complementarity in oil fields. Background Art

[0002] Under the general trend of carbon peaking and carbon neutrality, more and more attention is paid to replacing high-carbon energy with low-carbon energy and replacing fossil energy with clean energy. However, in the prior art, the utilization technologies of unstable, discontinuous, and difficult-to-predict energy sources such as solar energy and wind energy are immature, and there is a lack of an energy flow model for independently utilizing various types of energy. There is an urgent need for a method that can determine the optimal energy combination to achieve efficient utilization of energy. Summary of the Invention

[0003] In view of the above problems, the present invention is proposed to provide a method and system for collaborative optimization of multi-energy complementarity in oil fields that can overcome or at least partially solve the above problems.

[0004] In a first aspect, an embodiment of the present invention provides a method for determining an optimal energy type combination, including:

[0005] Obtaining various energy types in a target area and preset device parameter values of devices corresponding to each energy type;

[0006] According to the preset device parameter values of devices corresponding to various energy types, calculating predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type respectively;

[0007] Determining an optimal energy type combination that meets the preset target according to the predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type.

[0008] In one embodiment, the energy consumption indicator includes the daily total energy consumption; the cost indicator includes the daily energy consumption cost and the daily total cost, and the carbon emission indicator includes the daily carbon emission;

[0009] The calculating predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type respectively according to the preset device parameter values of devices corresponding to various energy types includes:

[0010] For each energy type, calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emission corresponding to the energy type according to the preset device parameter values of the device corresponding to the energy type.

[0011] In one embodiment, the energy types include sewage waste heat energy, gas energy, and solar thermal-gas auxiliary heat energy;

[0012] Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type, includes:

[0013] Determine whether the energy type is one of the sewage waste heat energy, the gas energy, or the solar-thermal / gas auxiliary heat energy. If so;

[0014] Determine the predicted value of the daily total gas consumption corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type and the preset required heat supply of the heated medium.

[0015] Determine the predicted value of the daily total power consumption corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type and the operating time of the equipment corresponding to the energy type.

[0016] Calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the carbon emission index corresponding to the energy type according to the predicted value of the daily total gas consumption and the predicted value of the daily total power consumption corresponding to the energy type.

[0017] Determine the predicted value of the daily total cost corresponding to the energy type according to the predicted value of the daily energy consumption cost corresponding to the energy type.

[0018] In one embodiment, the energy type further includes solar-thermal / electric auxiliary heat energy;

[0019] Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset equipment parameter values corresponding to the energy type, includes:

[0020] Determine whether the energy type is the solar-thermal / electric auxiliary heat energy. If so;

[0021] Determine the predicted value of the daily total power consumption corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type, the operating time of the equipment corresponding to the energy type, and the preset electric auxiliary heat power consumption.

[0022] Calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the daily total power consumption corresponding to the energy type.

[0023] Determine the predicted value of the daily total cost corresponding to the energy type according to the predicted value of the daily energy consumption cost corresponding to the energy type.

[0024] In one embodiment, the energy type further includes onshore photovoltaic;

[0025] Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset device parameter values corresponding to the energy type includes:

[0026] Determine whether the energy type is the onshore photovoltaic. If so;

[0027] According to the preset device parameter values of the device corresponding to the energy type and the installed capacity of the device corresponding to the energy type, determine the predicted value of the average annual power generation within the preset continuous number of years corresponding to the energy type;

[0028] According to the predicted value of the average annual power generation within the preset continuous number of years, calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type;

[0029] Determine the predicted value of the daily total cost corresponding to the energy type according to the preset daily total fixed cost and the preset daily total variable cost corresponding to the energy type.

[0030] In one embodiment, the energy type further includes onshore wind energy;

[0031] Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset device parameter values corresponding to the energy type includes:

[0032] Determine whether the energy type is the onshore wind energy. If so;

[0033] According to the device parameter values of the device corresponding to the energy type, determine the predicted value of the annual on-grid power generation;

[0034] According to the predicted value of the annual on-grid power generation, calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type;

[0035] Determine the predicted value of the daily total cost corresponding to the energy type according to the preset daily total fixed cost and the preset daily total variable cost corresponding to the energy type.

[0036] In one embodiment, determining the optimal energy type combination that meets the preset goal according to the predicted value of the energy consumption index, the predicted value of the cost index, and the predicted value of the carbon emission index corresponding to each energy type includes:

[0037] Group the multiple energy types in the target area according to a preset rule, and the rule represents whether the energy corresponding to the energy type is a heating-type energy or a power-generation-type energy;

[0038] Regarding the energy type corresponding to the predicted value of the minimum energy consumption index within each group, it is used as the energy type in the first candidate solution, and the first candidate solution represents the energy type combination solution with the lowest total energy consumption in the target area;

[0039] Regarding the energy type corresponding to the predicted value of the minimum daily average energy consumption cost within each group, it is used as the energy type in the second candidate solution, and the second candidate solution represents the energy type combination solution with the lowest daily average energy consumption cost in the target area;

[0040] Regarding the energy type corresponding to the predicted value of the minimum daily average total cost within each group, it is used as the energy type in the third candidate solution, and the third candidate solution represents the energy type combination solution with the highest economic benefit in the target area;

[0041] Regarding the energy type corresponding to the predicted value of the minimum daily carbon emission within each group, it is used as the energy type in the fourth candidate solution, and the fourth candidate solution represents the energy type combination solution with the lowest daily carbon emission in the target area;

[0042] Determine a solution that meets the preset goal from the first candidate solution, the second candidate solution, the third candidate solution, and the fourth candidate solution, where the preset goal is any one of the minimum total energy consumption, the minimum daily average energy consumption cost, the maximum economic benefit, or the minimum daily carbon emission.

[0043] In one embodiment, after obtaining the optimal energy type combination, the method further includes:

[0044] Obtain the actual equipment parameter values of the equipment corresponding to each energy type in the optimal energy type combination;

[0045] According to the actual equipment parameter values of the equipment corresponding to various energy types, calculate the actual values of the energy consumption index, the cost index, and the carbon emission index corresponding to each energy type respectively;

[0046] For each energy type in the optimal energy type combination, compare the predicted value of the energy consumption index corresponding to the energy type with the actual value of the energy consumption index, the predicted value of the cost index with the actual value of the cost index, and the predicted value of the carbon emission index and the actual value of the carbon emission index;

[0047] Evaluate the optimal energy type combination in the target area according to the comparison results of the predicted value of the energy consumption index and the actual value of the energy consumption index, the comparison results of the predicted value of the cost index and the actual value of the cost index, and the comparison results of the predicted value of the carbon emission index and the actual value of the carbon emission index.

[0048] In a second aspect, an apparatus for determining an optimal energy combination provided by an embodiment of the present invention includes:

[0049] An acquisition module, configured to acquire various energy types in a target area and preset device parameter values of devices corresponding to each energy type.

[0050] A calculation module, configured to calculate predicted values of energy consumption indicators, predicted values of cost indicators, and predicted values of carbon emission indicators corresponding to each energy type respectively according to the preset device parameter values of devices corresponding to various energy types.

[0051] A determination module, configured to determine an optimal energy type combination that meets a preset target according to the predicted values of energy consumption indicators, predicted values of cost indicators, and predicted values of carbon emission indicators corresponding to each energy type.

[0052] In a third aspect, an embodiment of the present invention provides a server, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method for determining the optimal energy type combination described above is implemented.

[0053] In a fourth aspect, an embodiment of the present invention provides an oilfield multi-energy complementary collaborative optimization system, including the server and a terminal device described above.

[0054] The terminal device is configured to perform human-computer interaction with a user, acquire input information of the user, and display content corresponding to the energy type to the user.

[0055] In a fifth aspect, an embodiment of the present invention provides a computer storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, the method for determining the optimal energy type combination described above is implemented.

[0056] The beneficial effects of the above technical solutions provided by the embodiments of the present invention at least include:

[0057] The method for determining an energy combination provided by the embodiment of the present invention, by acquiring various energy types in a target area and preset device parameter values of devices corresponding to each energy type, based on the preset device parameters of devices corresponding to various energy types, can calculate predicted values of energy consumption indicators, predicted values of cost indicators, and predicted values of carbon emission indicators corresponding to each energy type. Furthermore, based on the predicted values of energy consumption indicators, predicted values of cost indicators, and predicted values of carbon emission indicators corresponding to each energy type, an optimal energy type combination that meets a preset target can be obtained; through the preset device parameter values corresponding to various energy types in the target area, after analysis and calculation, the index values corresponding to each energy type (including predicted values of energy consumption indicators, predicted values of cost indicators, and predicted values of carbon emission indicators) are obtained, and for the preset target set for the target area, an optimal energy combination scheme is determined. It can determine an energy combination scheme suitable for the target area among the available energy types in the target area, and achieve efficient utilization of energy.

[0058] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the written description, claims, as well as the appended drawings.

[0059] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0060] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0061] Figure 1 is a flowchart of a method for determining the optimal energy type combination in an embodiment of the present invention;

[0062] Figure 2 is a flowchart of a method for predicting the daily total gas consumption value in an embodiment of the present invention;

[0063] Figure 3 is a flowchart of a method for evaluating the optimal energy type combination in an embodiment of the present invention;

[0064] Figure 4 is a schematic structural diagram of a device for determining the optimal energy type combination in an embodiment of the present invention. Detailed Embodiments

[0065] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art.

[0066] To solve the problem in the prior art that it is difficult to efficiently utilize unstable, discontinuous, and difficult-to-predict energy sources such as solar energy and wind energy, an embodiment of the present invention provides an oilfield multi-energy complementary collaborative optimization method and system.

[0067] Embodiment

[0068] An embodiment of the present invention provides a method for determining an optimal energy type combination, the process of which is as Figure 1 shown, and includes the following steps:

[0069] Step S1: Obtain various energy types in the target area and preset equipment parameter values of the equipment corresponding to each energy type;

[0070] Step S2: Calculate the predicted energy consumption index value, cost index value, and carbon emission index value corresponding to each energy type respectively according to the preset equipment parameter values of the equipment corresponding to various energy types.

[0071] Step S3: Determine the optimal energy type combination that meets the preset goal according to the predicted energy consumption index value, cost index value, and carbon emission index value corresponding to each energy type.

[0072] In fact, there are multiple types of available energy, including solar energy, wind energy, waste heat energy, traditional energy, etc. Specifically, waste heat energy includes sewage waste heat energy; traditional energy includes gas energy; solar energy includes onshore photovoltaic, solar thermal - electric auxiliary heat energy, and solar thermal - gas auxiliary heat energy; wind energy includes onshore wind energy and offshore wind energy; the embodiments of the present invention are particularly applicable to six types of energy, namely sewage waste heat energy, gas energy, solar thermal - electric auxiliary heat energy, onshore photovoltaic, onshore wind energy, and solar thermal - gas auxiliary heat energy. The energy supply equipment corresponding to each type of energy may be different, and the parameters of the heated medium (such as the water - oil ratio) in the target area are not fixed. Therefore, for different parameters of the heated medium, the optimal energy combination in the same target area may be different. Through the preset equipment parameter values corresponding to each energy type in the area, after analysis and calculation, the index values corresponding to each energy type (including the predicted energy consumption index value, cost index value, and carbon emission index value) are obtained respectively. For the preset goal set for the target area, the optimal energy combination scheme is determined. The embodiments of the present invention can determine the energy combination scheme suitable for the target area among multiple available energy types and achieve the efficient utilization of energy.

[0073] Referring to Tables 1 - 6 shown below, each energy type has corresponding energy consumption index, cost index, and carbon emission index:

[0074] Table 1: Sewage Waste Heat Heating Index System Table

[0075]

[0076] Table 2: Gas Energy Index System Table

[0077]

[0078]

[0079] Table 3: Solar Thermal - Electric Auxiliary Heat Energy Index System Table

[0080]

[0081] Table 4: Onshore Photovoltaic Index System Table

[0082]

[0083] Table 5: Onshore Wind Energy Index System Table

[0084]

[0085]

[0086] Table 6: Solar Thermal - Gas Auxiliary Heat Energy Index System Table

[0087]

[0088] According to the content of Tables 1 - 6, the energy consumption index includes the daily total energy consumption; the cost index includes the daily energy consumption cost and the daily total cost, and the carbon emission index includes the daily carbon emission. In the above step S2, the predicted values of the energy consumption index, cost index, and carbon emission index corresponding to each energy type are calculated. That is, for each energy type, according to the preset equipment parameter values of the equipment corresponding to the energy type, the predicted values of the daily total energy consumption, daily energy consumption cost, daily total cost, and daily carbon emission corresponding to the energy type are calculated.

[0089] In some alternative embodiments, for different energy types, the methods of calculating each index value may be different.

[0090] (1). If the energy type is sewage waste heat energy, gas energy, or solar thermal - gas auxiliary heat energy, then calculate the index values corresponding to the energy type through the following method:

[0091] (1). Determine whether the energy type is one of sewage waste heat energy, gas energy, or solar thermal - gas auxiliary heat energy. If so;

[0092] (2). According to the preset equipment parameter values of the equipment corresponding to the energy type and the preset required heat supply of the heated medium, determine the predicted value of the daily total gas consumption corresponding to the energy type.

[0093] Refer to Figure 2 As shown, calculate the predicted value of the daily total gas consumption through the following steps:

[0094] Step S21: Calculate the heat supply of each absorption heat pump according to the preset required heat supply of the heated medium, which is achieved through the following formula:

[0095]

[0096] In the above formula (1), Q 热泵i represents the heat supply of the absorption heat pump, with the unit of MJ / d, i represents the i - th heat pump, Q h represents the required heat supply of the heated medium, with the unit of MJ / d; R h represents the water content rate of the produced liquid (decimal); η represents the system heat loss rate (decimal); C 水hIt represents the specific heat capacity of water at constant pressure at the average temperature, and the unit is kJ / kg / °C; C 油h It represents the specific heat capacity of crude oil at constant pressure at the average temperature, and the unit is kJ / kg / °C; T 污 It represents the sewage temperature, and the unit is °C; T′ h It represents the temperature of the produced fluid before heating, and the unit is °C; G h It represents the produced fluid volume, and the unit is t / h; Δt represents the minimum heat transfer temperature difference, and the unit is °C.

[0097] Step S22: According to the heating capacity of each absorption heat pump and the corresponding energy efficiency coefficient of the absorption heat pump, calculate the gas consumption required for each absorption heat pump to heat the heated medium, and obtain the daily gas consumption of the heated medium corresponding to each absorption heat pump, which is achieved through the following formula:

[0098]

[0099] In the above formula (2), G 气i represents the daily gas consumption of the heated medium, Q 热泵i represents the heating capacity of the absorption heat pump, i represents the i-th absorption heat pump, COP i represents the energy efficiency coefficient of the absorption heat pump, and the unit is kJ / kg / °C, q represents the lower calorific value of the gas, and the unit is MJ / Nm 3 .

[0100] Step S23: According to the daily gas consumption of the heated medium corresponding to each absorption heat pump, obtain the predicted value of the total daily gas consumption, which is achieved through the following formula;

[0101]

[0102] In the above formula (3), G 气总 represents the total daily power consumption, G 气i represents the daily gas consumption of the heated medium, i represents the i-th absorption heat pump;

[0103] (3) Determine the predicted value of the total daily power consumption corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type and the operating time of the equipment corresponding to the energy type;

[0104] It is achieved through the following formula:

[0105]

[0106] In formula (4), P 电总 is the total daily power consumption, and the unit is kW·h / d, p i represents the electric power of the equipment, and the unit is kW, d i represents the operating hours of the equipment, and the unit is h, x represents the number of equipment, and i represents the i-th equipment.

[0107] (4) Calculate the predicted daily average total energy consumption value, the predicted daily average energy consumption cost value, and the predicted daily carbon emission index value corresponding to the energy type according to the predicted daily total gas consumption value and the predicted daily total power consumption value corresponding to the energy type;

[0108] A. The predicted daily average total energy consumption value is calculated by the following formula:

[0109] E d = (G 气总 ×a + P 电总 ×b) / 10; (5)

[0110] In formula (5), E d represents the predicted daily average total energy consumption, with the unit of kgce / d; P 电总 represents the predicted daily total power consumption, with the unit of kW·h / d; G 气总 represents the predicted daily total gas consumption, with the unit of Nm 3 / d; a represents the coefficient of converting natural gas direct emissions to standard coal, with the unit of tce / 10 4 Nm 3 ; b represents the coefficient of converting thermal power to standard coal, with the unit of tce / 10 4 kW·h.

[0111] B. The predicted daily average energy consumption cost value is calculated by the following formula:

[0112] C d = P 电总 ×p 火电 + G 气总 ×p 气 ; (6)

[0113] In formula (6), C d represents the predicted daily average energy consumption cost, with the unit of yuan / d; P 电总 represents the predicted daily total power consumption, with the unit of kW·h / d; G 气总 represents the predicted daily total gas consumption, with the unit of Nm 3 / d; p 火电 represents the unit price of thermal power electricity, with the unit of yuan / kW·h; p 气 represents the unit price of gas, with the unit of yuan / Nm 3 .

[0114] C. The predicted daily carbon emission index value is calculated by the following formula:

[0115] Cb d = (P 电总 ×c + G 气总 ×d) / 10; (7)

[0116] In formula (7),: Cb d represents the daily carbon emission, with the unit of t / d; P电总 represents the total daily power consumption, with the unit of kW·h / d; G 气总 represents the total daily gas consumption, with the unit of Nm 3 / d; c represents the carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h; d represents the carbon emission coefficient of direct emission of natural gas, with the unit of t / 10 4 Nm 3 .

[0117] (5) Determine the predicted value of the total daily cost corresponding to the energy type according to the predicted value of the daily energy consumption cost corresponding to the energy type;

[0118] It is realized through the following formula:

[0119] TC = TFC + TVC; (8)

[0120] In formula (8), TC represents the total daily cost, with the unit of yuan / d; TFC represents the total daily fixed cost, with the unit of yuan

[0121] / d, and TVC represents the total daily variable cost, with the unit of yuan / d.

[0122] Among them, the total daily fixed cost is calculated through the following formula:

[0123]

[0124] In formula (9), TFC represents the total daily fixed cost, with the unit of yuan / d; C z represents the daily depreciation cost, with the unit of yuan

[0125] / d; C Fi represents the wages and welfare expenses (excluding piecework wages), depreciation expenses, repair expenses, amortization expenses of intangible assets and other assets, and other expenses, etc., with the unit of yuan / d, and i represents the i-th expense.

[0126] The daily depreciation cost in formula (9) is determined according to the daily depreciation cost, construction investment cost, construction period interest, salvage rate, and depreciation life. For example, it is calculated through the following formula:

[0127]

[0128] In formula (10), C z represents the daily depreciation cost, with the unit of yuan / d; I 建 represents the construction investment, with the unit of ten thousand yuan, I 息 represents the construction period interest, with the unit of ten thousand yuan, r c represents the salvage rate (decimal); N c —— Depreciation life, with the unit of year.

[0129] Among them, the average daily total variable cost is calculated in the following way:

[0130]

[0131] In formula (11), TVC represents the average daily total variable cost, with the unit of yuan / d; C d represents the average daily energy consumption cost, with the unit of yuan / d, C Vi represents raw materials, packaging costs, piecework wages, etc., with the unit of yuan / d, and i represents the i-th cost item.

[0132] (2). If the energy type is solar thermal - electric auxiliary heat energy, then calculate the corresponding index values of solar thermal - electric auxiliary heat energy in the following way:

[0133] (1). Determine whether the energy type is solar thermal - electric auxiliary heat energy. If it is;

[0134] (2). Determine the predicted value of the daily total power consumption corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type, the operating time of the equipment corresponding to the energy type, and the preset power consumption of the electric auxiliary heat;

[0135] Calculate the predicted value of the daily total power consumption through the following formula:

[0136]

[0137] In formula (12), P 电总 represents the daily total power consumption, with the unit of kW·h / d; p i represents the electric power of the equipment except the electric auxiliary heat, with the unit of kW; d i represents the operating hours of the equipment except the electric auxiliary heat, with the unit of h; P 辅热 represents the power consumption of the electric auxiliary heat, with the unit of kW·h / d, and i represents the i-th equipment.

[0138] In formula (12), the power consumption of the electric auxiliary heat is obtained through the following formula:

[0139]

[0140] In formula (13), P 辅热 represents the power consumption of the electric auxiliary heat, with the unit of kW·h / d; Q 辅热 represents the heat consumption of the electric auxiliary heat, with the unit of MJ / d; η 电 represents the thermal efficiency (decimal) of the electric auxiliary heat equipment.

[0141] (3). Calculate the predicted value of the average daily total energy consumption, the predicted value of the average daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the daily total power consumption corresponding to the energy type;

[0142] A. The predicted value of the average daily total energy consumption is achieved through the following formula:

[0143] E d = P 电总 × b / 10; (14)

[0144] In formula (14), E d represents the daily average total energy consumption, with the unit of kgce / d; P 电总 represents the daily total power consumption, with the unit of kW·h / d; b represents the standard coal conversion coefficient for thermal power, with the unit of tce / 10 4 kW·h.

[0145] B. The predicted value of the daily average energy consumption cost is achieved through the following formula:

[0146] C d = P 电总 × p 火电 ; (15)

[0147] In formula (15), C d represents the daily average energy consumption cost, with the unit of yuan / d; P 电总 represents the daily total power consumption, with the unit of kW·h / d; p 火电 represents the unit price of thermal power electricity, with the unit of yuan / kW·h.

[0148] C. The predicted value of the daily carbon emission index is achieved through the following formula:

[0149] Cb d = P 电总 × c / 10; (16)

[0150] In formula (16),: Cb d represents the daily carbon emission, with the unit of t / d; P 电总 represents the daily total power consumption, with the unit of kW·h / d; the unit is Nm 3 / d; c represents the carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h.

[0151] (4). Determine the predicted value of the daily average total cost corresponding to the energy type based on the predicted value of the daily average energy consumption cost corresponding to the energy type.

[0152] It is achieved through the following formula:

[0153] TC = TFC + TVC; (17)

[0154] In formula (17), TC represents the daily average total cost, with the unit of yuan / d; TFC represents the daily average total fixed cost, with the unit of yuan / d, and TVC represents the daily average total variable cost, with the unit of yuan / d.

[0155] Among them, the daily average total fixed cost is calculated through the following formula:

[0156]

[0157] In formula (18), TFC represents the average daily total fixed cost, with the unit of yuan / d; C z represents the average daily depreciation cost, with the unit of yuan / d; C Fi represents the wages and welfare expenses (excluding piece-rate wages), depreciation expenses, repair expenses, amortization expenses of intangible assets and other assets, and other expenses, etc., with the unit of yuan / d.

[0158] The average daily depreciation cost in formula (9) is determined based on the average daily depreciation cost, construction investment cost, interest during the construction period, residual value rate, and depreciation life. For example, it is calculated through the following formula:

[0159]

[0160] In formula (19), C z represents the average daily depreciation cost, with the unit of yuan / d; I 建 represents the construction investment, with the unit of ten thousand yuan, I 息 represents the interest during the construction period, with the unit of ten thousand yuan, r c represents the residual value rate (in decimal); N c ——the depreciation life, with the unit of year.

[0161] Among them, the average daily total variable cost is calculated through the following method:

[0162]

[0163] In formula (20), TVC represents the average daily total variable cost, with the unit of yuan / d; C d represents the average daily energy consumption cost, with the unit of yuan / d, C Vi represents the raw material cost, packaging cost, and piece-rate wages, etc., with the unit of yuan / d, and i represents the i-th expense.

[0164] (III). If the energy type is onshore photovoltaic, then the corresponding index values of onshore photovoltaic are calculated through the following method:

[0165] (1). Determine whether the energy type is onshore photovoltaic. If so;

[0166] (2). Determine the predicted average annual power generation value within the preset continuous years corresponding to the energy type based on the preset equipment parameter values of the equipment corresponding to the energy type and the installed capacity of the equipment corresponding to the energy type;

[0167] Optionally, if the preset continuous years is 25 years, then correspondingly, the predicted average annual power generation value for 25 years is calculated through the following formula:

[0168]

[0169] In formula (21), E 25 represents the average annual power generation over 25 years, 10 4 kW·h; E1 represents the power generation in the first year, with the unit of 10 4 kW·h; P 光伏 represents the installed capacity, kWp; J T represents the average daily solar irradiance on the inclined plane per month, with the unit of MJ / (m 2 ·d); η represents the total system efficiency (in decimal); r1 represents the performance degradation rate of the photovoltaic modules in the first year (in decimal); r 25 represents the annual performance degradation rate of the photovoltaic modules in the second year and subsequent years (in decimal), and n represents the nth year.

[0170] 3), Calculate the predicted value of the average daily total energy consumption, the predicted value of the average daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the average annual power generation within the preset number of consecutive years;

[0171] A. The predicted value of the average daily total energy consumption is achieved through the following formula:

[0172]

[0173] In formula (22), E d represents the average daily total energy consumption, with the unit of kgce / d; E 25 represents the average annual power generation over 25 years, with the unit of 10 4 kW·h; b represents the standard coal conversion coefficient for thermal power, with the unit of tce / 10 4 kW·h.

[0174] B. The predicted value of the average daily energy consumption cost is achieved through the following formula:

[0175]

[0176] In formula (23), C d represents the average daily energy consumption cost, with the unit of yuan / d; E 25 represents the average annual power generation over 25 years, with the unit of 10 4 kW·h; p 火电 represents the unit price of thermal power electricity, with the unit of yuan / kW·h.

[0177] C. The predicted value of the daily carbon emission index is achieved through the following formula:

[0178] Cb d =-E 25 / 365×c; (24)

[0179] In formula (24),: Cb d represents the daily carbon emissions, with the unit of t / d; E25 Indicates the average annual power generation over 25 years, with the unit being 10 4 kW·h; the unit is Nm 3 / d; c represents the carbon emission coefficient of thermal power, with the unit being t / 10 4 kW·h.

[0180] (4), Determine the predicted value of the average daily total cost corresponding to the energy type according to the preset average daily total fixed cost and preset average daily total variable cost corresponding to the energy type.

[0181] It is achieved through the following formula:

[0182] TC = TFC + TVC; (25)

[0183] In formula (25), TC represents the average daily total cost, with the unit being yuan / d; TFC represents the average daily total fixed cost, with the unit being yuan / d, and TVC represents the average daily total variable cost, with the unit being yuan / d.

[0184] (IV), If the energy type is onshore wind energy, calculate the corresponding index values of onshore wind energy through the following method:

[0185] (1), Determine whether the energy type is onshore wind energy. If it is;

[0186] (2), Determine the predicted value of the annual grid-connected power generation according to the equipment parameter values of the equipment corresponding to the energy type;

[0187] The predicted value of the annual grid-connected power generation is calculated through the following formula:

[0188] E 上网 = E th × η (26)

[0189] In formula (26), E 上网 represents the annual grid-connected power generation, with the unit being 10 4 kW·h; E th represents the annual theoretical power generation, with the unit being 10 4 kW·h; η represents the comprehensive reduction rate of annual power generation (decimal).

[0190] (3), Calculate the predicted value of the average daily total energy consumption, the predicted value of the average daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the annual grid-connected power generation;

[0191] A, The predicted value of the average daily total energy consumption is achieved through the following formula:

[0192]

[0193] In formula (27), E d represents the average daily total energy consumption, with the unit being kgce / d; E上网 represents the annual on-grid power generation, with the unit of 10 4 kW·h; b represents the standard coal coefficient for thermal power, with the unit of tce / 10 4 kW·h.

[0194] B. The predicted value of the daily average energy consumption cost is achieved through the following formula:

[0195]

[0196] In formula (28), C d represents the daily average energy consumption cost, with the unit of yuan / d; E 25 represents the average annual power generation over 25 years, with the unit of 10 4 kW·h; p 火电 represents the unit price of thermal power electricity, with the unit of yuan / kW·h.

[0197] C. The predicted value of the daily carbon emission index is achieved through the following formula:

[0198] Cb d =-E 25 / 365×c; (29)

[0199] In formula (29),: Cb d represents the daily carbon emission, with the unit of t / d; E 上网 represents the annual on-grid power generation, with the unit of 10 4 kW·h; the unit is Nm 3 / d; c represents the carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h.

[0200] (4). Determine the predicted value of the daily average total cost corresponding to the energy type according to the preset daily average total fixed cost and preset daily average total variable cost corresponding to the energy type.

[0201] It is achieved through the following formula:

[0202] TC = TFC + TVC; (30)

[0203] In formula (30), TC represents the daily average total cost, with the unit of yuan / d; TFC represents the daily average total fixed cost, with the unit of yuan / d, and TVC represents the daily average total variable cost, with the unit of yuan / d.

[0204] In some alternative embodiments, the above step S3, according to the predicted values of the energy consumption index, cost index, and carbon emission index corresponding to each energy type, determines the optimal energy type combination that meets the preset goal, which can be achieved through the following method:

[0205] (1) Group various energy types in the target area according to preset rules, where the rules represent whether the energy corresponding to the energy type is heat - generating energy or power - generating energy;

[0206] Solar thermal - electric auxiliary heat energy, solar thermal - gas auxiliary heat energy, sewage waste heat energy, and gas energy belong to heat - generating energy and are grouped together; on - shore photovoltaic and on - shore wind power - generating energy are grouped together. It should be noted that for the available energy in the target area, there may be a situation where there is only power - generating energy or only heat - generating energy. If there is only power - generating energy or only heat - generating energy, then there is only one corresponding grouping for the available energy types in the target area.

[0207] (2) Take the energy type corresponding to the predicted value of the minimum energy consumption index in each group as the energy type in the first candidate plan, where the first candidate plan represents the energy type combination plan with the lowest total energy consumption in the target area;

[0208] Specifically, the first candidate plan is obtained through the following formula:

[0209] O 总能耗 = MIN{E d1 ,E d2 ···E dN}+MIN{E d1 ,E d2 ···E dM},(N = 1, 2···n, M = 1, 2···m)(31)

[0210] In formula (31), O 总能耗 represents the output total energy consumption value, E dN represents the daily average total energy consumption value corresponding to the nth heat - generating energy type, and E dM represents the daily average total energy consumption value corresponding to the mth power - generating energy type;

[0211] The total energy consumption in the target area refers to the sum of the heat supply of heat - generating energy and the power generation of power - generating energy. Correspondingly, the minimum total energy consumption value in the target area is the sum of the minimum daily average total energy consumption value among the n heat - generating energy types in the target area and the minimum daily average total energy consumption value among the m power - generating energy types in the target area.

[0212] (3) Take the energy type corresponding to the predicted value of the minimum daily average energy consumption cost in each group as the energy type in the second candidate plan, where the second candidate plan represents the energy type combination plan with the lowest daily average energy consumption cost in the target area;

[0213] Specifically, the second candidate plan is obtained through the following formula:

[0214] O 能耗费用 = MIN{C d1, C d2 ···C dN}+ MIN{C d1 , C d2 ···C dM}, (N = 1, 2···n, M = 1, 2···m)(32)

[0215] In formula (32), O 能耗费用 represents the output energy consumption cost value, C dN represents the daily average energy consumption cost value corresponding to the nth heating energy type, C dM represents the average energy consumption cost value corresponding to the mth power generation energy type;

[0216] The energy consumption cost in the target area refers to the sum of the energy consumption costs of heating energy and power generation energy. Correspondingly, the minimum energy consumption cost value in the target area is the sum of the minimum daily average energy consumption cost among the n heating energy types in the target area and the minimum daily average energy consumption cost among the m power generation energy types in the target area.

[0217] (4) Take the energy type corresponding to the minimum predicted value of the daily average total cost in each group as the energy type in the third candidate plan, and the third candidate plan represents the energy type combination plan with the highest economic benefit in the target area;

[0218] Specifically, the third candidate plan is obtained through the following formula:

[0219] O 经济效益 = MIN{TC1, TC2···TC N}+ MIN{TC1, TC2···TC M}, (N = 1, 2···n, M = 1, 2···m)(33)

[0220] In formula (33), O 经济效益 represents the output daily average total cost value, TC N represents the daily average total cost value corresponding to the nth heating energy type, TC M represents the daily average total cost value corresponding to the mth power generation energy type;

[0221] The daily average total cost in the target area refers to the sum of the daily average total costs of heating energy and power generation energy. Correspondingly, the minimum daily average total cost value in the target area is the sum of the minimum daily average total cost among the n heating energy types in the target area and the minimum daily average total cost among the m power generation energy types in the target area.

[0222] (5) Take the energy type corresponding to the minimum predicted daily carbon emission value in each group as the energy type in the fourth candidate solution, and the fourth candidate solution represents the energy type combination solution with the lowest daily carbon emission in the target area;

[0223] Specifically, the fourth candidate solution is obtained through the following formula:

[0224] O 碳排放 = MIN{Cb d1 , Cb d2 ···Cb dN}+MIN{Cb d1 , Cb d2 ···Cb dM}, (N = 1, 2···n, M = 1, 2···m) (34)

[0225] In formula (34), O 碳排放 represents the output daily carbon emission value, Cb dN represents the daily carbon emission value corresponding to the nth heating energy type, and Cb dM represents the daily carbon emission value corresponding to the mth power generation energy type;

[0226] The daily carbon emission in the target area refers to the sum of the daily carbon emissions of the heating energy and the power generation energy. Correspondingly, the minimum daily carbon emission value in the target area is the sum of the minimum daily carbon emission among the n heating energy types in the target area and the minimum daily carbon emission among the m power generation energy types in the target area.

[0227] (6) Determine the solution that meets the preset goal from the first candidate solution, the second candidate solution, the third candidate solution, and the fourth candidate solution. The preset goal is any one of the minimum total energy consumption, the minimum average daily energy consumption cost, the maximum economic benefit, or the minimum daily carbon emission. In other words, if the preset goal of the target area is the minimum total energy consumption, then the first candidate solution obtained according to formula (1) is used as the optimal energy type combination solution for the target area; if the preset goal of the target area is the minimum average daily energy consumption cost, then the second candidate solution obtained according to formula (2) is used as the optimal energy type combination solution for the target area; if the preset goal of the target area is the maximum economic benefit, then the third candidate solution obtained according to formula (3) is used as the optimal energy type combination solution for the target area; if the preset goal of the target area is the minimum daily carbon emission, then the first candidate solution obtained according to formula (1) is used as the optimal energy type combination solution for the target area.

[0228] In some alternative embodiments, according to the determined optimal energy type combination, implementation is carried out in the target area. After implementation for a period of time, the actual values corresponding to each index are calculated. According to the actual values corresponding to each index, the optimal energy type combination implemented in the target area is evaluated. For the convenience of explaining the embodiments, for the same index, the index predicted value is the theoretical value calculated based on the preset parameter data, and the index actual value is the actual value calculated based on the actual parameter data after the optimal energy combination scheme has been implemented for a period of time. Specifically, referring to Figure 3 as shown, it can be implemented in the following manner:

[0229] Step S31: Obtain the actual equipment parameter values of the equipment corresponding to each energy type in the optimal energy type combination;

[0230] Step S32: According to the actual equipment parameter values of the equipment corresponding to various energy types, calculate the actual values of the energy consumption index, cost index, and carbon emission index corresponding to each energy type respectively;

[0231] Step S33: For each energy type in the optimal energy type combination, compare the predicted value and the actual value of the energy consumption index corresponding to the energy type, the predicted value and the actual value of the cost index, and the predicted value and the actual value of the carbon emission index;

[0232] Step S34: Evaluate the optimal energy type combination of the target area according to the comparison results between the predicted value and the actual value of the energy consumption index, the comparison results between the predicted value and the actual value of the cost index, and the comparison results between the predicted value and the actual value of the carbon emission index.

[0233] In some alternative embodiments, the above Step S33 can be implemented in the following manner:

[0234] (1) If the energy type is sewage waste heat energy:

[0235] Ⅰ. Calculate the actual value of the total energy consumption per unit heat in the energy consumption index according to the following formula:

[0236]

[0237] In formula (35), E e represents the actual value of the total energy consumption per unit heat, and the unit is kgce / MJ; E d represents the actual value of the daily average total energy consumption, and the unit is kgce / d; Q 实际 represents the actual heat supply, and the unit is MJ / d.

[0238] Ⅱ. Calculate the actual value of the system energy efficiency ratio in the energy consumption index through the following formula:

[0239] η 总 =Q 实际 / (G 气总 ×q + P 电总 ×3.6)×100%; (36)

[0240] In formula (36), η 总 represents the actual value of the system energy efficiency ratio, with the unit of %; Q 实际 represents the actual heat supply, with the unit of MJ / d; P 电总 represents the actual total daily power consumption, with the unit of kW·h / d; G 气总 represents the actual total daily gas consumption, with the unit of Nm 3 / d; q represents the actual lower calorific value of gas, with the unit of MJ / Nm 3 .

[0241] III. Calculate the actual value of the cost per unit heat energy consumption in the cost index through the following formula:

[0242] C e =C d / Q 实际 ; (37)

[0243] In formula (37), C e represents the actual value of the cost per unit heat energy consumption, with the unit of yuan / MJ; C d represents the actual average daily energy consumption cost, with the unit of yuan / d; Q 实际 represents the actual heat supply, with the unit of MJ / d.

[0244] IV. Calculate the actual value of the total cost per unit heat in the cost index through the following formula:

[0245] QC = TC / Q 实际 ; (38)

[0246] In formula (38), QC represents the actual total cost per unit heat, with the unit of yuan / MJ; TC represents the actual average daily total cost, with the unit of yuan / d; Q 需求 represents the actual heat supply, with the unit of MJ / d.

[0247] V. Calculate the actual value of the carbon emission per unit heat in the carbon emission index through the following formula:

[0248] Cb e =Cb d / Q 实际 ; (39)

[0249] In formula (39), Cb e represents the actual carbon emission per unit heat, with the unit of t / d; Cb dRepresents the actual daily carbon emissions, with the unit of t / d; Q 需求 Represents the actual heat supply, with the unit of MJ / d.

[0250] (2), If the energy type is gas energy:

[0251] Ⅰ. Calculate the actual value of the total energy consumption per unit heat in the energy consumption index according to the following formula:

[0252]

[0253] In formula (40), E e Represents the actual total energy consumption per unit heat, with the unit of kgce / MJ; E d Represents the actual daily total energy consumption, with the unit of kgce / d; Q 需求 Represents the actual heat supply, with the unit of MJ / d;

[0254] Among them, the predicted value of the total energy consumption per unit heat of gas energy is determined according to the preset daily total energy consumption and the preset required heat supply, and the actual value of the total energy consumption per unit heat of gas energy is determined according to the actual daily total energy consumption and the actual required heat supply.

[0255] Ⅱ. Calculate the actual value of the system energy efficiency ratio in the energy consumption index through the following formula:

[0256] η 总 =Q 实际 / (G 气总 ×q + P 电总 ×3.6)×100%; (41)

[0257] In formula (41), η 总 Represents the actual value of the system energy efficiency ratio, with the unit of %; Q 实际 Represents the actual heat supply, with the unit of MJ / d; P 电总 Represents the actual daily total power consumption, with the unit of kW·h / d; G 气总 Represents the actual daily total gas consumption, with the unit of Nm 3 / d; q represents the actual lower calorific value of gas, with the unit of MJ / Nm 3 .

[0258] Ⅲ. Calculate the actual value of the energy consumption cost per unit heat in the cost index through the following formula:

[0259] C e =C d / Q 实际 ; (42)

[0260] In formula (42), C e Represents the actual value of the energy consumption cost per unit heat, with the unit of yuan / MJ; C dRepresents the actual daily average energy consumption cost, with the unit of yuan / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0261] IV. Calculate the actual value of the total cost per unit heat in the cost index through the following formula:

[0262] QC = TC / Q 实际 ;(43)

[0263] In formula (43), QC represents the actual value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the actual daily average total cost, with the unit of yuan / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0264] V. Calculate the actual value of the carbon emissions per unit heat in the carbon emission index through the following formula:

[0265] Cb e = Cb d / Q 实际 ;(44)

[0266] In formula (44), Cb e Represents the actual value of the carbon emissions per unit heat, with the unit of t / d; Cb d Represents the actual daily carbon emissions, with the unit of t / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0267] (3). If the energy type is solar thermal - electric auxiliary heat energy:

[0268] I. Calculate the actual value of the total energy consumption per unit heat in the energy consumption index according to the following formula:

[0269]

[0270] In formula (45), E e Represents the actual value of the total energy consumption per unit heat, with the unit of kgce / MJ; E d Represents the actual daily average total energy consumption, with the unit of kgce / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d;

[0271] II. Calculate the system energy efficiency ratio in the energy consumption index through the following formula:

[0272] η 总 = Q 实际 / (P 电总 ×3.6)×100%;(46)

[0273] In formula (46), η 总 Represents the actual value of the system energy efficiency ratio, with the unit of %; Q实际 Represents the actual heat supply, with the unit of MJ / d; P 电总 Represents the actual total daily power consumption, with the unit of kW·h / d.

[0274] III. Calculate the actual value of the solar energy guarantee rate in the energy consumption index through the following formula:

[0275] f = 1 - 1 / η 总 ×100%; (47)

[0276] In formula (47), f represents the actual value of the solar energy guarantee rate, with the unit of %, and η 总 Represents the system energy efficiency ratio, with the unit of %.

[0277] IV. Calculate the actual value of the energy consumption cost per unit heat in the cost index through the following formula:

[0278] C e = C d / Q 需求 ; (48)

[0279] In formula (48), C e Represents the actual value of the energy consumption cost per unit heat, with the unit of yuan / MJ; C d Represents the actual average daily energy consumption cost, with the unit of yuan / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0280] V. Calculate the actual value of the total cost per unit heat in the cost index through the following formula:

[0281] QC = TC / Q 实际 ; (49)

[0282] In formula (49), QC represents the actual value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the actual average daily total cost, with the unit of yuan / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0283] VI. Calculate the actual value of the carbon emission per unit heat in the carbon emission index through the following formula:

[0284] Cb e = Cb d / Q 实际 ; (50)

[0285] In formula (50), Cb e Represents the actual value of the carbon emission per unit heat, with the unit of t / d; Cb d Represents the actual daily carbon emission, with the unit of t / d; Q 实际 Represents the actual heat supply, with the unit of MJ / d.

[0286] (4) If the energy type is onshore photovoltaic:

[0287] Ⅰ. Calculate the actual value of the average annual power generation over 25 years in the energy consumption index according to the following formula:

[0288]

[0289] In formula (51), E 25 represents the actual value of the average annual power generation over 25 years, with the unit of 10 4 kW·h; E1 represents the actual power generation in the first year, with the unit of 10 4 kW·h; P 光伏 represents the actual installed capacity, with the unit of kWp; J T represents the actual average daily solar irradiance on the inclined plane per month, with the unit of MJ / (m 2 ·d); η represents the actual total system efficiency (in decimal); r1 represents the actual performance degradation rate of the photovoltaic modules in the first year (in decimal); r 25 represents the actual annual performance degradation rate of the photovoltaic modules in the second year and later (in decimal), and n represents the nth year.

[0290] Ⅱ. Calculate the actual value of the total cost per kilowatt-hour in the cost index through the following formula:

[0291]

[0292] In formula (52), T d represents the actual value of the total cost per kilowatt-hour, with the unit of yuan / kW·h; TC represents the actual average daily total cost, with the unit of yuan / d; E 25 represents the actual value of the average annual power generation over 25 years, with the unit of 10 4 kW·h.

[0293] Ⅲ. Calculate the actual value of the daily carbon emissions in the carbon emission index through the following formula:

[0294] Cb d =-E 25 / 365×c; (53)

[0295] In formula (53), Cb d represents the actual value of the daily carbon emissions, with the unit of t / d; E 25 represents the actual value of the average annual power generation over 25 years, with the unit of 10 4 kW·h; c represents the actual carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h.

[0296] (5) If the energy type is onshore wind energy:

[0297] Calculate the annual theoretical power generation through the following formula

[0298]

[0299] In formula (54), E th represents the annual theoretical power generation, n represents the number of wind turbines, in units of sets; v1 represents the cut-in wind speed of the wind turbine, in units of m / s; v2 represents the cut-out wind speed of the wind turbine, in units of m / s; p i (v) represents the power generation of the i-th wind turbine at a wind speed of v, in units of MW; f i (v) represents the wind speed probability distribution at the hub height of the i-th wind turbine, which is the Weibull distribution obtained by fitting the wind speed time series;

[0300] Ⅰ. According to the annual theoretical power generation, calculate the actual value of the annual on-grid power generation in the energy consumption index, which is achieved through the following formula:

[0301] E 上网 = E th × η; (55)

[0302] In formula (55), E 上网 represents the actual value of the annual on-grid power generation, in units of t / d; the unit is 10 4 kW·h; E th represents the annual theoretical power generation, and η represents the actual comprehensive reduction rate of the annual power generation (in decimals).

[0303] Ⅱ. Calculate the actual value of the total cost per kilowatt-hour in the cost index through the following formula:

[0304]

[0305] In formula (56), T d represents the actual value of the total cost per kilowatt-hour, in units of yuan / kW·h; TC represents the actual average daily total cost, in units of yuan / d; E 上网 represents the actual value of the annual on-grid power generation, in units of 10 4 kW·h.

[0306] Ⅲ. Calculate the actual value of the carbon emission per unit heat in the carbon emission index through the following formula:

[0307] Cb d = -E 上网 / 365 × c; (57)

[0308] In formula (57), Cb d represents the actual value of the daily carbon emission, in units of t / d; E 上网 represents the actual value of the annual on-grid power generation, in units of 10 4kW·h; c represents the actual carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h

[0309] (6), If the energy type is solar thermal - gas auxiliary heat energy:

[0310] Ⅰ. Calculate the actual value of the total energy consumption per unit heat in the energy consumption index according to the following formula:

[0311]

[0312] In formula (58), E e represents the actual value of the total energy consumption per unit heat, with the unit of kgce / MJ; E d represents the actual average daily total energy consumption, with the unit of kgce / d; Q 实际 represents the actual heat supply, with the unit of MJ / d;

[0313] Ⅱ. Calculate the system energy efficiency ratio in the energy consumption index through the following formula:

[0314] η 总 =Q 需求 / (G 气总 ×q + P 电总 ×3.6)×100%; (59)

[0315] In formula (59), η 总 represents the actual value of the system energy efficiency ratio, with the unit of %; Q 实际 represents the actual heat supply, with the unit of MJ / d; P 电总 represents the actual daily total power consumption, with the unit of kW·h / d; G 气总 represents the actual daily total gas consumption, with the unit of Nm 3 / d; q represents the actual lower calorific value of gas, with the unit of MJ / Nm 3 .

[0316] Ⅲ. Calculate the actual value of the solar energy guarantee rate in the energy consumption index through the following formula:

[0317] f = 1 - 1 / η 总 ×100%; (60)

[0318] In formula (60), f represents the actual value of the solar energy guarantee rate, with the unit of %, η 总 represents the system energy efficiency ratio, with the unit of %.

[0319] Ⅳ. Calculate the actual value of the energy consumption cost per unit heat in the cost index through the following formula:

[0320] C e =C d / Q 需求 ; (61)

[0321] In formula (61), C e represents the actual value of the cost per unit heat energy consumption, with the unit of yuan / MJ; C d represents the actual daily average energy consumption cost, with the unit of yuan / d; Q 实际 represents the actual heat supply, with the unit of MJ / d.

[0322] Ⅴ. Calculate the actual value of the total cost per unit heat in the cost index through the following formula:

[0323] QC = TC / Q 实际 ;(62)

[0324] In formula (53), QC represents the actual value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the actual daily average total cost, with the unit of yuan / d; Q 实际 represents the actual heat supply, with the unit of MJ / d.

[0325] Ⅵ. Calculate the actual value of the carbon emission per unit heat in the carbon emission index through the following formula:

[0326] Cb e = Cb d / Q 实际 ;(63)

[0327] In formula (54), Cb e represents the actual value of the carbon emission per unit heat, with the unit of t / d; Cb d represents the actual daily carbon emission, with the unit of t / d; Q 实际 represents the actual heat supply, with the unit of MJ / d.

[0328] In some alternative embodiments, in the above step S34, for the energy types in the optimal energy type combination, according to the comparison results of the predicted values and the actual values of the respective indicators corresponding to each energy type, evaluate the optimal energy type combination of the target area, including:

[0329] (1). If the energy type is sewage waste heat energy:

[0330] Ⅰ. Energy consumption index - total energy consumption per unit heat:

[0331] If the predicted value of the total energy consumption per unit heat of the sewage waste heat energy is not less than the actual value of the total energy consumption per unit heat of the sewage waste heat energy, output the comparison result. According to the comparison result, the professional staff puts forward the first suggestion for the optimal energy type combination of the target area. For example, the content of the first suggestion is "The gas consumption index is qualified, maintain the current situation."

[0332] If the predicted total energy consumption per unit heat of the sewage waste heat energy is less than the actual total energy consumption per unit heat of the sewage waste heat energy, the comparison result is output. Based on the comparison result, professionals put forward a second suggestion for the optimal energy type combination in the target area. For example, the content of the second suggestion is "The gas consumption index is on the high side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment."

[0333] Calculate the predicted total energy consumption per unit heat according to the following formula:

[0334]

[0335] In formula (64), E e represents the predicted total energy consumption per unit heat, with the unit of kgce / MJ; E d represents the predicted daily average total energy consumption, with the unit of kgce / d; Q 需求 represents the required heat supply, with the unit of MJ / d;

[0336] Among them, the predicted total energy consumption per unit heat of the sewage waste heat energy is determined according to the preset daily average total energy consumption and the preset required heat supply, and the actual total energy consumption per unit heat of the sewage waste heat energy is determined according to the actual daily average total energy consumption and the actual required heat supply.

[0337] Ⅱ. Energy consumption index - System energy efficiency ratio:

[0338] If the predicted system energy efficiency ratio of the sewage waste heat energy is not greater than or equal to the actual system energy efficiency ratio of the sewage waste heat energy, the comparison result is output. Based on the comparison result, professionals put forward a third suggestion for the optimal energy type combination in the target area. For example, the content of the third suggestion is "The energy efficiency index is qualified. Maintain the current situation."

[0339] If the predicted system energy efficiency ratio of the sewage waste heat energy is greater than the actual system energy efficiency ratio of the sewage waste heat energy, the comparison result is output. Based on the comparison result, professionals put forward a fourth suggestion for the optimal energy type combination in the target area. For example, the content of the fourth suggestion is "The energy efficiency index is on the low side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment."

[0340] Calculate the predicted system energy efficiency ratio through the following formula:

[0341] η 总 =Q 需求 / (G 气总 ×q + P 电总 ×3.6)×100%; (65)

[0342] In formula (65), η 总 represents the predicted system energy efficiency ratio, with the unit of %; Q 需求 represents the required heat supply, with the unit of MJ / d; P电总 Indicates the total daily power consumption in kW·h / d; G 气总 Indicates the total daily gas consumption in Nm 3 / d; q represents the low calorific value of gas, the unit is MJ / Nm 3 .

[0343] III. Cost indicators - unit heat energy consumption cost:

[0344] If the predicted value of the unit heat energy consumption cost of sewage waste heat energy is not less than the actual value of the unit heat energy consumption cost of sewage waste heat energy, the comparison result is output. Based on the comparison result, professionals put forward a fifth suggestion on the optimal energy type combination in the target area. For example, the content of the fifth suggestion is "the energy efficiency cost index is qualified, and the status quo is maintained."

[0345] If the predicted value of the unit heat energy consumption cost of sewage waste heat energy is less than the actual value of the unit heat energy consumption cost of sewage waste heat energy, the comparison result is output. Based on the comparison result, professionals make a sixth suggestion on the optimal energy type combination for the target area. For example, the content of the sixth suggestion is "the energy efficiency cost index is too high, and it is recommended to improve the system efficiency."

[0346] The predicted value of unit heat energy consumption cost is calculated by the following formula:

[0347] C e =C d / Q 需求 ; (67)

[0348] In formula (67), C e Indicates the unit heat energy consumption cost forecast value, the unit is yuan / MJ; C d Indicates the average daily energy consumption cost, the unit is yuan / d; Q 需求 Indicates the required heat supply, the unit is MJ / d.

[0349] IV. Cost Indicator - Total Cost per Unit of Heat

[0350] If the predicted value of the total cost per unit heat of wastewater waste heat energy is not less than the actual value of the total cost per unit heat of wastewater waste heat energy, the comparison result is output. Based on the comparison result, professionals put forward a seventh suggestion on the optimal energy type combination for the target area. For example, the content of the seventh suggestion is "the cost indicators are qualified, and the status quo is maintained."

[0351] If the predicted value of the total cost per unit heat of wastewater waste heat energy is less than the actual value of the total cost per unit heat of wastewater waste heat energy, the comparison result is output. Based on the comparison result, professionals make an eighth suggestion on the optimal energy type combination for the target area. For example, the content of the eighth suggestion is "the cost index is too high. It is recommended to improve system efficiency, reasonably control management costs, and replace equipment with high maintenance rates."

[0352] The total cost per unit of heat is calculated using the following formula:

[0353] QC=TC / Q 需求 ; (68)

[0354] In formula (68), QC represents the predicted total cost per unit of heat, in RMB / MJ; TC represents the average daily total cost, in RMB / d; Q 需求 Indicates the required heat supply, the unit is MJ / d.

[0355] V. Carbon Emission Index - Carbon Emissions per Unit of Heat

[0356] If the predicted value of carbon emissions per unit heat of wastewater waste heat energy is not less than the actual value of carbon emissions per unit heat of wastewater waste heat energy, the comparison result is output. Based on the comparison result, professionals make a ninth suggestion on the optimal energy type combination for the target area. For example, the content of the ninth suggestion is "emission indicators are qualified, maintain the status quo."

[0357] If the predicted value of carbon emissions per unit heat of wastewater waste heat energy is less than the actual value of carbon emissions per unit heat of wastewater waste heat energy, the comparison result is output. Based on the comparison result, professionals make a tenth suggestion on the optimal energy type combination for the target area. For example, the content of the tenth suggestion is "the emission index is too high, and it is recommended to improve the system efficiency."

[0358] The predicted carbon emissions per unit of heat are calculated using the following formula:

[0359] Cb e =Cb d / Q 需求 ; (69)

[0360] In formula (69), Cb e Indicates the predicted value of carbon emissions per unit heat, the unit is t / d; Cb d Indicates daily carbon emissions, the unit is t / d; Q 需求 Indicates the required heat supply, the unit is MJ / d.

[0361] (2) If the energy type is gas:

[0362] Ⅰ. Energy consumption index - total energy consumption per unit heat:

[0363] If the predicted value of the total energy consumption per unit heat of gas energy is not less than the actual value of the total energy consumption per unit heat of gas energy, the comparison result is output. Based on the comparison result, professionals make an eleventh suggestion on the optimal energy type combination for the target area. For example, the content of the eleventh suggestion is "the gas consumption index is qualified, and the status quo is maintained."

[0364] If the predicted value of the total energy consumption per unit heat of the gas energy is less than the actual value of the total energy consumption per unit heat of the gas energy, the comparison result is output. Based on the comparison result, the professional staff puts forward the twelfth suggestion for the optimal energy type combination in the target area. For example, the content of the twelfth suggestion is "The gas consumption index is on the high side. It is recommended to improve the energy efficiency ratio of the heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of the electrical equipment."

[0365] Calculate the predicted value of the total energy consumption per unit heat according to the following formula:

[0366]

[0367] In formula (70), E e represents the predicted value of the total energy consumption per unit heat, and the unit is kgce / MJ; E d represents the daily average total energy consumption, and the unit is kgce / d; Q 需求 represents the required heat supply, and the unit is MJ / d;

[0368] Among them, the predicted value of the total energy consumption per unit heat of the gas energy is determined according to the preset daily average total energy consumption and the preset required heat supply, and the actual value of the total energy consumption per unit heat of the gas energy is determined according to the actual daily average total energy consumption and the actual required heat supply.

[0369] Ⅱ. Energy consumption index - System energy efficiency ratio:

[0370] If the predicted value of the system energy efficiency ratio of the gas energy is not greater than or equal to the actual value of the system energy efficiency ratio of the gas energy, the comparison result is output. Based on the comparison result, the professional staff puts forward the thirteenth suggestion for the optimal energy type combination in the target area. For example, the content of the thirteenth suggestion is "The energy efficiency index is qualified. Maintain the current situation."

[0371] If the predicted value of the system energy efficiency ratio of the gas energy is greater than the actual value of the system energy efficiency ratio of the gas energy, the comparison result is output. Based on the comparison result, the professional staff puts forward the fourteenth suggestion for the optimal energy type combination in the target area. For example, the content of the fourteenth suggestion is "The energy efficiency index is on the low side. It is recommended to improve the energy efficiency ratio of the heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of the electrical equipment."

[0372] Calculate the predicted value of the system energy efficiency ratio through the following formula:

[0373] η 总 =Q 需求 / (G 气总 ×q+P 电总 ×3.6)×100%; (71)

[0374] In formula (71), η 总 represents the predicted value of the system energy efficiency ratio, and the unit is %; Q 需求 represents the required heat supply, and the unit is MJ / d; P 电总Represents the total daily power consumption, with the unit of kW·h / d; G 气总 Represents the total daily gas consumption, with the unit of Nm 3 / d; q represents the lower calorific value of the gas, with the unit of MJ / Nm 3 .

[0375] III. Cost Index - Cost of Energy Consumption per Unit Heat:

[0376] If the predicted value of the cost of energy consumption per unit heat of gas energy is not less than the actual value of the cost of energy consumption per unit heat of gas energy, output the comparison result. Based on the comparison result, professional personnel put forward the 15th suggestion on the optimal energy type combination in the target area. For example, the content of the 15th suggestion is "The energy efficiency cost index is qualified, maintain the current situation."

[0377] If the predicted value of the cost of energy consumption per unit heat of gas energy is less than the actual value of the cost of energy consumption per unit heat of gas energy, output the comparison result. Based on the comparison result, professional personnel put forward the 16th suggestion on the optimal energy type combination in the target area. For example, the content of the 16th suggestion is "The energy efficiency cost index is on the high side, it is recommended to improve the system efficiency."

[0378] The predicted value of the cost of energy consumption per unit heat is calculated by the following formula:

[0379] C e = C d / Q 需求 ;(72)

[0380] In formula (72), C e represents the predicted value of the cost of energy consumption per unit heat, with the unit of yuan / MJ; C d represents the daily average energy consumption cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0381] IV. Cost Index - Total Cost per Unit Heat

[0382] If the predicted value of the total cost per unit heat of gas energy is not less than the actual value of the total cost per unit heat of gas energy, output the comparison result. Based on the comparison result, professional personnel put forward the 17th suggestion on the optimal energy type combination in the target area. For example, the content of the 17th suggestion is "The cost index is qualified, maintain the current situation."

[0383] If the predicted value of the total cost per unit heat of gas energy is less than the actual value of the total cost per unit heat of gas energy, output the comparison result. Based on the comparison result, professional personnel put forward the 18th suggestion on the optimal energy type combination in the target area. For example, the content of the 18th suggestion is "The cost index is on the high side, it is recommended to improve the system efficiency, reasonably control the management cost, and replace the equipment with a high maintenance rate."

[0384] The predicted value of the total cost per unit heat is calculated by the following formula:

[0385] QC = TC / Q 需求 ;(73)

[0386] In formula (73), QC represents the predicted value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the daily total cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0387] Ⅴ. Carbon emission index - carbon emission per unit heat

[0388] If the predicted value of the carbon emission per unit heat of gas energy is not less than the actual value of the carbon emission per unit heat of gas energy, output the comparison result. According to the comparison result, the professional staff puts forward the nineteenth suggestion on the optimal energy type combination in the target area. For example, the content of the nineteenth suggestion is "The carbon emission index is qualified, maintain the current situation."

[0389] If the predicted value of the carbon emission per unit heat of gas energy is less than the actual value of the carbon emission per unit heat of gas energy, output the comparison result. According to the comparison result, the professional staff puts forward the twentieth suggestion on the optimal energy type combination in the target area. For example, the content of the twentieth suggestion is "The emission index is on the high side, it is recommended to improve the system efficiency."

[0390] Calculate the predicted value of the carbon emission per unit heat through the following formula:

[0391] Cb e = Cb d / Q 需求 ;(74)

[0392] In formula (74), Cb e represents the predicted value of the carbon emission per unit heat, with the unit of t / d; Cb d represents the daily carbon emission, with the unit of t / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0393] (3). If the energy type is solar thermal - electric auxiliary heat energy:

[0394] Ⅰ. Energy consumption index - total energy consumption per unit heat:

[0395] If the predicted value of the total energy consumption per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the total energy consumption per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, the professional staff puts forward the twenty - first suggestion on the optimal energy type combination in the target area. For example, the content of the twenty - first suggestion is "The gas consumption index is qualified, maintain the current situation."

[0396] If the predicted value of the total energy consumption per unit heat of the solar-thermal and electric-assisted heat energy is less than the actual value of the total energy consumption per unit heat of the solar-thermal and electric-assisted heat energy, output the comparison result. According to the comparison result, professionals put forward the 22nd suggestion on the optimal energy type combination in the target area. For example, the content of the 22nd suggestion is "The gas consumption index is on the high side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment."

[0397] Calculate the predicted value of the total energy consumption per unit heat according to the following formula:

[0398]

[0399] In formula (75), E e represents the predicted value of the total energy consumption per unit heat, and the unit is kgce / MJ; E d represents the daily average total energy consumption, and the unit is kgce / d; Q 需求 represents the required heat supply, and the unit is MJ / d;

[0400] Among them, the predicted value of the total energy consumption per unit heat of the solar-thermal and electric-assisted heat energy is determined according to the preset daily average total energy consumption and the preset required heat supply, and the actual value of the total energy consumption per unit heat of the solar-thermal and electric-assisted heat energy is determined according to the actual daily average total energy consumption and the actual required heat supply.

[0401] II. Energy consumption index - system energy efficiency ratio:

[0402] If the predicted value of the system energy efficiency ratio of the solar-thermal and electric-assisted heat energy is not greater than or equal to the actual value of the system energy efficiency ratio of the solar-thermal and electric-assisted heat energy, output the comparison result. According to the comparison result, professionals put forward the 23rd suggestion on the optimal energy type combination in the target area. For example, the content of the 23rd suggestion is "The energy efficiency index is qualified, and maintain the status quo."

[0403] If the predicted value of the system energy efficiency ratio of the solar-thermal and electric-assisted heat energy is greater than the actual value of the system energy efficiency ratio of the solar-thermal and electric-assisted heat energy, output the comparison result. According to the comparison result, professionals put forward the 24th suggestion on the optimal energy type combination in the target area. For example, the content of the 24th suggestion is "The energy efficiency index is on the low side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment."

[0404] Calculate the predicted value of the system energy efficiency ratio through the following formula:

[0405] η 总 =Q 需求 / (P 电总 ×3.6)×100%;(76)

[0406] In formula (76), η 总 represents the predicted value of the system energy efficiency ratio, and the unit is %; Q 需求Indicates the required heat supply, with the unit of MJ / d; P 电总 Indicates the total daily power consumption, with the unit of kW·h / d.

[0407] III. Energy consumption index - Solar energy guarantee rate:

[0408] If the predicted value of the solar energy guarantee rate of solar thermal - electric auxiliary heat energy is not greater than or equal to the actual value of the solar energy guarantee rate of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 25th suggestion on the optimal energy type combination in the target area. For example, the content of the 25th suggestion is "The solar thermal index is qualified, maintain the current situation."

[0409] If the predicted value of the solar energy guarantee rate of solar thermal - electric auxiliary heat energy is greater than the actual value of the solar energy guarantee rate of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 26th suggestion on the optimal energy type combination in the target area. For example, the content of the 26th suggestion is "The solar thermal index is on the low side. It is recommended to clean the dust on the collector in time, reduce the heat dissipation loss of the system, and replace the damaged components."

[0410] Calculate the predicted value of the solar energy guarantee rate through the following formula:

[0411] f = 1 - 1 / η 总 ×100%; (77)

[0412] In formula (77), f represents the predicted value of the solar energy guarantee rate, with the unit of %, and η 总 represents the system energy efficiency ratio, with the unit of %.

[0413] IV. Cost index - Energy consumption cost per unit heat:

[0414] If the predicted value of the energy consumption cost per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the energy consumption cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 27th suggestion on the optimal energy type combination in the target area. For example, the content of the 27th suggestion is "The energy efficiency cost index is qualified, maintain the current situation."

[0415] If the predicted value of the energy consumption cost per unit heat of solar thermal - electric auxiliary heat energy is less than the actual value of the energy consumption cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 28th suggestion on the optimal energy type combination in the target area. For example, the content of the 28th suggestion is "The energy efficiency cost index is on the high side. It is recommended to improve the system efficiency."

[0416] Calculate the predicted value of the energy consumption cost per unit heat through the following formula:

[0417] C e = C d / Q 需求 ; (78)

[0418] In formula (78), C e represents the predicted value of the cost per unit heat energy consumption, with the unit of yuan / MJ; C d represents the daily average energy consumption cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0419] V. Cost Index - Total Cost per Unit Heat

[0420] If the predicted value of the total cost per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the total cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 29th suggestion on the optimal energy type combination in the target area. For example, the content of the 29th suggestion is "The cost index is qualified, maintain the current situation."

[0421] If the predicted value of the total cost per unit heat of solar thermal - electric auxiliary heat energy is less than the actual value of the total cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 30th suggestion on the optimal energy type combination in the target area. For example, the content of the 30th suggestion is "The cost index is on the high side. It is recommended to improve the system efficiency, reasonably control the management cost, and replace the equipment with a high maintenance rate."

[0422] The predicted value of the total cost per unit heat is calculated by the following formula:

[0423] QC = TC / Q 需求 ;(79)

[0424] In formula (79), QC represents the predicted value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the daily average total cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0425] VI. Carbon Emission Index - Carbon Emission per Unit Heat

[0426] If the predicted value of the carbon emission per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the carbon emission per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 31st suggestion on the optimal energy type combination in the target area. For example, the content of the 31st suggestion is "The emission index is qualified, maintain the current situation."

[0427] If the predicted value of the carbon emission per unit heat of solar thermal - electric auxiliary heat energy is less than the actual value of the carbon emission per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the 32nd suggestion on the optimal energy type combination in the target area. For example, the content of the 32nd suggestion is "The emission index is on the high side. It is recommended to improve the system efficiency."

[0428] The predicted value of carbon emissions per unit heat is calculated by the following formula:

[0429] Cb e = Cb d / Q 需求 ;(80)

[0430] In formula (80), Cb e represents the predicted value of carbon emissions per unit heat, with the unit of t / d; Cb d represents the daily carbon emissions, with the unit of t / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0431] (4) If the energy type is onshore photovoltaic:

[0432] Ⅰ. Energy consumption index - average annual power generation in 25 years:

[0433] If the predicted value of the average annual power generation of onshore photovoltaic in 25 years is not less than the actual value of the average annual power generation of solar thermal - electric auxiliary heat energy in 25 years, output the comparison result. According to the comparison result, professional personnel put forward the thirty - third suggestion on the optimal energy type combination in the target area. For example, the content of the thirty - third suggestion is "The power generation index is qualified, maintain the current situation."

[0434] If the predicted value of the average annual power generation of onshore photovoltaic in 25 years is less than the actual value of the average annual power generation of solar thermal - electric auxiliary heat energy in 25 years, output the comparison result. According to the comparison result, professional personnel put forward the thirty - fourth suggestion on the optimal energy type combination in the target area. For example, the content of the thirty - fourth suggestion is "The power generation index is low. It is recommended to improve the energy efficiency ratio of power generation equipment, take technical measures to reduce the number of light abandonment times, clean the dust on the photovoltaic panels in time, and replace the damaged components."

[0435] The predicted value of the average annual power generation in 25 years is calculated according to the following formula:

[0436]

[0437] In formula (81), E 25 represents the predicted value of the average annual power generation in 25 years, with the unit of 10 4 kW·h; E1 represents the power generation in the first year, with the unit of 10 4 kW·h; P 光伏 represents the installed capacity, with the unit of kWp; J T represents the average daily solar irradiance on the inclined plane per month, with the unit of MJ / (m 2 ·d); η represents the total system efficiency (decimal); r1 represents the performance degradation rate of photovoltaic modules in the first year (decimal); r 25 represents the annual performance degradation rate of photovoltaic modules in the second year and later (decimal).

[0438] Among them, the predicted annual average power generation of onshore PV over 25 years is determined based on data such as the preset installed capacity, and the actual annual average power generation of onshore PV over 25 years is determined based on data such as the actual installed capacity.

[0439] Ⅱ. Cost Index - Total Cost per Degree of Electricity:

[0440] If the predicted total cost per degree of electricity of onshore PV is less than or equal to the actual total cost per degree of electricity of onshore PV, the comparison result is output. Based on the comparison result, professionals put forward the 35th suggestion for the optimal energy type combination in the target area. For example, the content of the 35th suggestion is "The cost per degree of electricity index is qualified, maintain the status quo".

[0441] If the predicted total cost per degree of electricity of onshore PV is greater than the actual total cost per degree of electricity of onshore PV, the comparison result is output. Based on the comparison result, professionals put forward the 36th suggestion for the optimal energy type combination in the target area. For example, the content of the 36th suggestion is "The cost per degree of electricity index is on the high side. It is recommended to improve the energy efficiency ratio of the power generation equipment, take technical measures to reduce the number of light curtailment times, clean the dust on the PV panels in time, and replace the damaged components".

[0442] The predicted total cost per degree of electricity is calculated by the following formula:

[0443]

[0444] In formula (82), T d represents the predicted total cost per degree of electricity, with the unit of yuan / kW·h; TC represents the average daily total cost, with the unit of yuan / d; E 25 represents the annual average power generation over 25 years, with the unit of 10 4 kW·h.

[0445] Ⅲ. Carbon Emission Index - Daily Carbon Emission

[0446] If the predicted daily carbon emission of onshore PV is not less than the actual daily carbon emission of onshore PV, the comparison result is output. Based on the comparison result, professionals put forward the 37th suggestion for the optimal energy type combination in the target area. For example, the content of the 37th suggestion is "The emission index is qualified, maintain the status quo".

[0447] If the predicted daily carbon emission of onshore PV is less than the actual daily carbon emission of onshore PV, the comparison result is output. Based on the comparison result, professionals put forward the 38th suggestion for the optimal energy type combination in the target area. For example, the content of the 38th suggestion is "The emission index is on the high side. It is recommended to improve the system efficiency".

[0448] The predicted daily carbon emission is calculated by the following formula:

[0449] Cb d = -E 25 / 365×c; (83)

[0450] In formula (83), Cb d represents the predicted value of daily carbon emissions, with the unit of t / d; E 25 represents the average annual power generation in 25 years, with the unit of 10 4 kW·h; c represents the carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h.

[0451] (5), If the energy type is onshore wind energy:

[0452] Ⅰ. Energy consumption index - annual grid-connected power generation:

[0453] If the predicted value of the annual grid-connected power generation of onshore wind energy is not greater than the actual value of the annual grid-connected power generation of onshore wind energy, output the comparison result. According to the comparison result, the professional staff puts forward the thirty-ninth suggestion on the optimal energy type combination in the target area. For example, the content of the thirty-ninth suggestion is "The power generation index is qualified, maintain the current situation".

[0454] If the predicted value of the annual grid-connected power generation of onshore wind energy is greater than the actual value of the annual grid-connected power generation of onshore wind energy, output the comparison result. According to the comparison result, the professional staff puts forward the fortieth suggestion on the optimal energy type combination in the target area. For example, the content of the fortieth suggestion is "The power generation index is low, it is recommended to improve the energy efficiency ratio of the power generation equipment, take technical measures to reduce the number of wind curtailment, and replace the damaged components".

[0455] Calculate through the following formula

[0456]

[0457] In formula (84), E th represents the annual theoretical power generation, n represents the number of wind turbine generators, with the unit of set; v1 represents the cut-in wind speed of the wind turbine generator, with the unit of m / s; v2 represents the cut-out wind speed of the wind turbine generator, with the unit of m / s; p i (v) represents the power generation power of the i-th wind turbine generator at the wind speed of v, with the unit of MW; f i (v) represents the wind speed probability distribution at the hub height of the i-th wind turbine generator, which is the Weibull distribution obtained by fitting the wind speed time series;

[0458] According to the annual theoretical power generation, calculate the predicted value of the annual grid-connected power generation, which is realized through the following formula:

[0459] E 上网 = E th ×η; (85)

[0460] In formula (85), E 上网Represents the predicted annual on-grid power generation, with the unit of t / d; the unit is 10 4 kW·h; E th Represents the annual theoretical power generation, and η represents the comprehensive reduction rate of annual power generation (in decimals).

[0461] Ⅱ. Cost Index - Total Cost per Degree of Electricity:

[0462] If the predicted total cost per degree of electricity of onshore wind energy is not less than or equal to the actual total cost per degree of electricity of onshore wind energy, output the comparison result. Based on the comparison result, professionals put forward the 41st suggestion for the optimal energy type combination in the target area. For example, the content of the 41st suggestion is "The cost per degree of electricity index is qualified, maintain the status quo."

[0463] If the predicted total cost per degree of electricity of onshore wind energy is less than the actual total cost per degree of electricity of onshore wind energy, output the comparison result. Based on the comparison result, professionals put forward the 42nd suggestion for the optimal energy type combination in the target area. For example, the content of the 42nd suggestion is "The cost per degree of electricity index is on the high side. It is recommended to improve the energy efficiency ratio of the power generation equipment, take technical measures to reduce the number of light curtailment times, clean the dust on the photovoltaic panels in time, and replace the damaged components."

[0464] The predicted total cost per degree of electricity is calculated by the following formula:

[0465]

[0466] In formula (86), T d Represents the predicted total cost per degree of electricity, with the unit of yuan / kW·h; TC represents the daily average total cost, with the unit of yuan / d; E 上网 Represents the annual on-grid power generation, with the unit of 10 4 kW·h.

[0467] Ⅲ. Carbon Emission Index - Daily Carbon Emission

[0468] If the predicted daily carbon emission of onshore wind energy is not less than the actual daily carbon emission of onshore wind energy, output the comparison result. Based on the comparison result, professionals put forward the 43rd suggestion for the optimal energy type combination in the target area. For example, the content of the 43rd suggestion is "The carbon emission index is qualified, maintain the status quo."

[0469] If the predicted daily carbon emission of onshore wind energy is less than the actual daily carbon emission of onshore wind energy, output the comparison result. Based on the comparison result, professionals put forward the 44th suggestion for the optimal energy type combination in the target area. For example, the content of the 44th suggestion is "The emission index is on the high side. It is recommended to improve the system efficiency."

[0470] The predicted value of the unit daily carbon emission is calculated by the following formula:

[0471] Cb d =-E上网 / 365×c;(87)

[0472] In formula (87), Cb d represents the predicted value of daily carbon emissions, with the unit of t / d; E 上网 represents the annual electricity generation from grid connection, with the unit of 10 4 kW·h; c represents the carbon emission coefficient of thermal power, with the unit of t / 10 4 kW·h

[0473] (6), If the energy type is solar thermal - gas auxiliary heat energy:

[0474] Ⅰ. Energy consumption index - total energy consumption per unit heat:

[0475] If the predicted value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy is not less than the actual value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy, output the comparison result. According to the comparison result, the forty - fifth suggestion is put forward for the optimal energy type combination in the target area. For example, the content of the forty - fifth suggestion is "The gas consumption index is qualified, maintain the current situation".

[0476] If the predicted value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy is less than the actual value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy, output the comparison result. According to the comparison result, the forty - sixth suggestion is put forward for the optimal energy type combination in the target area. For example, the content of the forty - sixth suggestion is "The gas consumption index is on the high side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment".

[0477] Calculate the predicted value of the total energy consumption per unit heat according to the following formula:

[0478]

[0479] In formula (88), E e represents the predicted value of the total energy consumption per unit heat, with the unit of kgce / MJ; E d represents the daily average total energy consumption, with the unit of kgce / d; Q 需求 represents the required heat supply, with the unit of MJ / d;

[0480] Among them, the predicted value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy is determined according to the preset daily average total energy consumption and the preset required heat supply, and the actual value of the total energy consumption per unit heat of solar thermal - gas auxiliary heat energy is determined according to the actual daily average total energy consumption and the actual required heat supply.

[0481] Ⅱ. Energy consumption index - system energy efficiency ratio:

[0482] If the predicted value of the system energy efficiency ratio of solar-thermal - gas auxiliary heat energy is less than or equal to the actual value of the system energy efficiency ratio of solar-thermal - gas auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the forty-seventh suggestion for the optimal energy type combination in the target area. For example, the content of the forty-seventh suggestion is "The energy efficiency index is qualified, maintain the current situation."

[0483] If the predicted value of the system energy efficiency ratio of solar-thermal - gas auxiliary heat energy is greater than the actual value of the system energy efficiency ratio of solar-thermal - gas auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the forty-eighth suggestion for the optimal energy type combination in the target area. For example, the content of the forty-eighth suggestion is "The energy efficiency index is on the low side. It is recommended to improve the energy efficiency ratio of heating equipment, reduce the heat dissipation loss of the system, and reduce the power consumption of electrical equipment."

[0484] Calculate the predicted value of the system energy efficiency ratio through the following formula:

[0485] η 总 =Q 需求 / (G 气总 ×q+P 电总 ×3.6)×100%;(89)

[0486] In formula (89), η 总 represents the predicted value of the system energy efficiency ratio, and the unit is %; Q 需求 represents the required heat supply, and the unit is MJ / d; P 电总 represents the total daily power consumption, and the unit is kW·h / d; G 气总 represents the total daily gas consumption, and the unit is Nm 3 / d; q represents the lower calorific value of gas, and the unit is MJ / Nm 3 .

[0487] Ⅲ. Energy consumption index - Solar energy guarantee rate:

[0488] If the predicted value of the solar energy guarantee rate of solar-thermal - electric auxiliary heat energy is less than or equal to the actual value of the solar energy guarantee rate of solar-thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the forty-ninth suggestion for the optimal energy type combination in the target area. For example, the content of the forty-ninth suggestion is "The solar-thermal index is qualified, maintain the current situation."

[0489] If the predicted value of the solar energy guarantee rate of solar-thermal - electric auxiliary heat energy is greater than the actual value of the solar energy guarantee rate of solar-thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the fiftieth suggestion for the optimal energy type combination in the target area. For example, the content of the fiftieth suggestion is "The solar-thermal index is on the low side. It is recommended to clean the dust on the collector in time, reduce the heat dissipation loss of the system, and replace the damaged components."

[0490] Calculate the predicted value of the solar energy guarantee rate through the following formula:

[0491] f = 1 - 1 / η 总 × 100%; (90)

[0492] In formula (90), f represents the predicted value of the solar energy guarantee rate, with the unit of %, and η 总 represents the system energy efficiency ratio, with the unit of %.

[0493] IV. Cost index - cost per unit heat energy consumption:

[0494] If the predicted value of the cost per unit heat energy consumption of solar thermal - electric auxiliary heat energy is not less than the actual value of the cost per unit heat energy consumption of solar thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the 51st suggestion for the optimal energy type combination in the target area. For example, the content of the 51st suggestion is "The energy efficiency cost index is qualified, maintain the current situation."

[0495] If the predicted value of the cost per unit heat energy consumption of solar thermal - electric auxiliary heat energy is less than the actual value of the cost per unit heat energy consumption of solar thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the 52nd suggestion for the optimal energy type combination in the target area. For example, the content of the 52nd suggestion is "The energy efficiency cost index is on the high side, it is recommended to improve the system efficiency."

[0496] The predicted value of the cost per unit heat energy consumption is calculated by the following formula:

[0497] C e = C d / Q 需求 ; (91)

[0498] In formula (91), C e represents the predicted value of the cost per unit heat energy consumption, with the unit of yuan / MJ; C d represents the daily average energy consumption cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0499] V. Cost index - total cost per unit heat

[0500] If the predicted value of the total cost per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the total cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. According to the comparison result, professionals put forward the 53rd suggestion for the optimal energy type combination in the target area. For example, the content of the 53rd suggestion is "The cost index is qualified, maintain the current situation."

[0501] If the predicted value of the total cost per unit heat of solar thermal - electric auxiliary heat energy is less than the actual value of the total cost per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the fifty - fourth suggestion for the optimal energy type combination in the target area. For example, the content of the fifty - fourth suggestion is "The cost index is on the high side. It is recommended to improve the system efficiency, reasonably control the management cost, and replace the equipment with a high maintenance rate."

[0502] The predicted value of the total cost per unit heat is calculated by the following formula:

[0503] QC = TC / Q 需求 ;(92)

[0504] In formula (92), QC represents the predicted value of the total cost per unit heat, with the unit of yuan / MJ; TC represents the average daily total cost, with the unit of yuan / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0505] Ⅵ. Carbon emission index - carbon emissions per unit heat

[0506] If the predicted value of the carbon emissions per unit heat of solar thermal - electric auxiliary heat energy is not less than the actual value of the carbon emissions per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the fifty - fifth suggestion for the optimal energy type combination in the target area. For example, the content of the fifty - fifth suggestion is "The emission index is qualified. Maintain the current situation."

[0507] If the predicted value of the carbon emissions per unit heat of solar thermal - electric auxiliary heat energy is less than the actual value of the carbon emissions per unit heat of solar thermal - electric auxiliary heat energy, output the comparison result. Based on the comparison result, professionals put forward the fifty - sixth suggestion for the optimal energy type combination in the target area. For example, the content of the fifty - sixth suggestion is "The emission index is on the high side. It is recommended to improve the system efficiency."

[0508] The predicted value of the carbon emissions per unit heat is calculated by the following formula:

[0509] Cb e = Cb d / Q 需求 ;(93)

[0510] In formula (93), Cb e represents the predicted value of the carbon emissions per unit heat, with the unit of t / d; Cb d represents the daily carbon emissions, with the unit of t / d; Q 需求 represents the required heat supply, with the unit of MJ / d.

[0511] Based on the same inventive concept, an embodiment of the present invention further provides a device for determining the optimal energy combination. The structure of the device is as Figure 4 shown and includes:

[0512] An acquisition module 41 for acquiring various energy types in a target area and preset device parameter values of devices corresponding to each energy type;

[0513] A calculation module 42 for respectively calculating predicted values of energy consumption indexes, predicted values of cost indexes, and predicted values of carbon emission indexes corresponding to each energy type according to the preset device parameter values of devices corresponding to various energy types;

[0514] A determination module 43 for determining an optimal energy type combination that meets a preset target according to the predicted values of energy consumption indexes, predicted values of cost indexes, and predicted values of carbon emission indexes corresponding to each energy type.

[0515] Regarding the device for determining the optimal energy combination in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0516] Unless otherwise specifically stated, terms such as processing, calculating, computing, determining, displaying, etc. may refer to actions and / or processes of one or more processing or computing systems, or similar devices, and the actions and / or processes will represent data operations and conversions of physical (such as electronic) quantities in registers or memories of the processing system into other data similarly represented as physical quantities in memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different technologies and methods. For example, the data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

[0517] It should be understood that the specific order or hierarchy of steps in the disclosed processes is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The appended method claims present the elements of various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy.

[0518] In the above detailed description, various features are combined in a single embodiment to simplify the present disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the present invention resides in less than all of the features of a single disclosed embodiment. Therefore, the appended claims are hereby expressly incorporated into the detailed description, where each claim stands alone as a separate preferred embodiment of the present invention.

[0519] Those skilled in the art should also understand that all the illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the above various illustrative components, blocks, modules, circuits, and steps have been generally described in terms of their functions. Whether such a function is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Skilled technicians can implement the described functions in a flexible manner for each specific application. However, such implementation decisions should not be construed as departing from the protection scope of the present disclosure.

[0520] The steps of the methods or algorithms described in connection with the embodiments herein can be directly embodied as hardware, software modules executed by a processor, or a combination thereof. The software modules can be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium well-known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. The ASIC can be located in a user terminal. Of course, the processor and the storage medium can also exist as discrete components in the user terminal.

[0521] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that execute the functions of this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented inside the processor or outside the processor. In the latter case, it is communicatively coupled to the processor by various means, which are well-known in the art.

[0522] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments. However, those of ordinary skill in the art should recognize that the various embodiments can be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the protection scope of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, this term is covered in a manner similar to the term "including," as interpreted when "including" is used as a transitional word in the claims. In addition, any term "or" used in the claims or the specification is intended to mean "non-exclusive or."

Claims

1. A method for determining an optimal combination of energy types, characterized in that, Including: Obtain various energy types in the target area and the preset equipment parameter values of the equipment corresponding to each energy type; According to the preset equipment parameter values of the equipment corresponding to various energy types, calculate the predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type respectively; According to the predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type, determine the optimal energy type combination that meets the preset goals.

2. The method according to claim 1, wherein The energy consumption indicator includes the daily total energy consumption; the cost indicator includes the daily energy consumption cost and the daily total cost, and the carbon emission indicator includes the daily carbon emission; The calculating the predicted values of energy consumption indicators, cost indicators, and carbon emission indicators corresponding to each energy type respectively according to the preset equipment parameter values of the equipment corresponding to various energy types includes: For each energy type, according to the preset equipment parameter values of the equipment corresponding to the energy type, calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emission corresponding to the energy type.

3. The method according to claim 2, characterized in that, The energy types include sewage waste heat energy, gas energy, and solar thermal-gas auxiliary heat energy; The calculating the predicted values of the daily total energy consumption, the daily energy consumption cost, the daily total cost, and the daily carbon emission corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type includes: Judge whether the energy type is one of the sewage waste heat energy, the gas energy, or the solar thermal-gas auxiliary heat energy. If so; According to the preset equipment parameter values of the equipment corresponding to the energy type and the preset heat supply demand of the heated medium, determine the predicted value of the daily total gas consumption corresponding to the energy type; According to the preset equipment parameter values of the equipment corresponding to the energy type and the operating time of the equipment corresponding to the energy type, determine the predicted value of the daily total power consumption corresponding to the energy type; According to the predicted values of the daily total gas consumption and the daily total power consumption corresponding to the energy type, calculate the predicted values of the daily total energy consumption, the daily energy consumption cost, and the carbon emission indicator corresponding to the energy type; According to the predicted value of the daily energy consumption cost corresponding to the energy type, determine the predicted value of the daily total cost corresponding to the energy type.

4. The method according to claim 3, wherein The energy types also include solar thermal-electric auxiliary heat energy; The calculating the predicted values of the daily total energy consumption, the daily energy consumption cost, the daily total cost, and the daily carbon emission corresponding to the energy type according to the preset equipment parameter values corresponding to the energy type includes: Judge whether the energy type is the solar thermal-electric auxiliary heat energy. If so; According to the preset equipment parameter values of the equipment corresponding to the energy type, the operating time of the equipment corresponding to the energy type, and the preset electric auxiliary heat power consumption, determine the predicted value of the daily total power consumption corresponding to the energy type; According to the predicted value of the daily total power consumption corresponding to the energy type, calculate the predicted values of the daily total energy consumption, the daily energy consumption cost, and the daily carbon emission corresponding to the energy type; According to the predicted value of the daily energy consumption cost corresponding to the energy type, determine the predicted value of the daily total cost corresponding to the energy type.

5. The method according to claim 2, characterized in that, The energy types also include onshore photovoltaic; Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset equipment parameter values corresponding to the energy type includes: Determine whether the energy type is the onshore photovoltaic. If so; Determine the predicted value of the annual average power generation within the preset number of consecutive years corresponding to the energy type according to the preset equipment parameter values of the equipment corresponding to the energy type and the installed capacity of the equipment corresponding to the energy type; Calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the annual average power generation within the preset number of consecutive years; Determine the predicted value of the daily total cost corresponding to the energy type according to the preset daily total fixed cost and the preset daily total variable cost corresponding to the energy type.

6. The method according to claim 2, wherein The energy type also includes onshore wind energy; Calculating the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, the predicted value of the daily total cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the preset equipment parameter values corresponding to the energy type includes: Determine whether the energy type is the onshore wind energy. If so; Determine the predicted value of the annual on-grid power generation according to the equipment parameter values of the equipment corresponding to the energy type; Calculate the predicted value of the daily total energy consumption, the predicted value of the daily energy consumption cost, and the predicted value of the daily carbon emissions corresponding to the energy type according to the predicted value of the annual on-grid power generation; Determine the predicted value of the daily total cost corresponding to the energy type according to the preset daily total fixed cost and the preset daily total variable cost corresponding to the energy type.

7. The method according to claim 2, wherein Determining the optimal energy type combination that meets the preset goal according to the predicted values of the energy consumption index, the predicted values of the cost index, and the predicted values of the carbon emission index corresponding to each energy type includes: Group the multiple energy types in the target area according to a preset rule, and the rule represents whether the energy corresponding to the energy type is a heating energy type or a power generation energy type; Use the energy type corresponding to the minimum predicted value of the energy consumption index in each group as the energy type in the first candidate solution, and the first candidate solution represents the energy type combination solution with the lowest total energy consumption in the target area; Use the energy type corresponding to the minimum predicted value of the daily average energy consumption cost in each group as the energy type in the second candidate solution, and the second candidate solution represents the energy type combination solution with the lowest daily average energy consumption cost in the target area; Use the energy type corresponding to the minimum predicted value of the daily average total cost in each group as the energy type in the third candidate solution, and the third candidate solution represents the energy type combination solution with the highest economic benefit in the target area; Use the energy type corresponding to the minimum predicted value of the daily carbon emissions in each group as the energy type in the fourth candidate solution, and the fourth candidate solution represents the energy type combination solution with the lowest daily carbon emissions in the target area; Determine the solution that meets the preset goal from the first candidate solution, the second candidate solution, the third candidate solution, and the fourth candidate solution, and the preset goal is any one of the minimum total energy consumption, the minimum daily average energy consumption cost, the maximum economic benefit, or the minimum daily carbon emissions.

8. The method according to claim 2, characterized in that, After obtaining the optimal energy type combination, the method further includes: Obtaining the actual device parameter values of the devices corresponding to each energy type in the optimal energy type combination; Respectively calculating the actual values of the energy consumption index, the actual values of the cost index, and the actual values of the carbon emission index corresponding to each energy type according to the actual device parameter values of the devices corresponding to various energy types; For each energy type in the optimal energy type combination, comparing the predicted value of the energy consumption index corresponding to the energy type with the actual value of the energy consumption index, the predicted value of the cost index with the actual value of the cost index, and the predicted value of the carbon emission index and the actual value of the carbon emission index; Evaluating the optimal energy type combination of the target area according to the comparison results between the predicted value and the actual value of the energy consumption index, the comparison results between the predicted value and the actual value of the cost index, and the comparison results between the predicted value and the actual value of the carbon emission index.

9. A device for determining an optimal energy combination, characterized in that, Including: An acquisition module, configured to acquire a plurality of energy types in the target area and the preset device parameter values of the devices corresponding to each energy type; A calculation module, configured to respectively calculate the predicted value of the energy consumption index, the predicted value of the cost index, and the predicted value of the carbon emission index corresponding to each energy type according to the preset device parameter values of the devices corresponding to various energy types; A determination module, configured to determine an optimal energy type combination that meets the preset target according to the predicted value of the energy consumption index, the predicted value of the cost index, and the predicted value of the carbon emission index corresponding to each energy type.

10. A server, characterized in that, Including: A memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, it implements the method for determining the optimal energy type combination according to any one of claims 1-8.

11. An oilfield multi-energy complementary collaborative optimization system, characterized in that, Including the server and the terminal device according to claim 10; The terminal device is used for human-computer interaction with the user, acquiring the input information of the user, and presenting the content corresponding to the energy type to the user.

12. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by the processor, the method for determining the optimal energy type combination according to any one of claims 1-8 is implemented.

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