A natural gas source selection method, system, storage medium and computing device

Abstract

The present invention discloses a natural gas source selection method, system, storage medium and computing device, which obtain carbon trading market price information and perform statistical analysis to calculate the average carbon trading price within the procurement cycle; use natural gas gas component data to calculate the carbon content per unit volume of natural gas, determine the carbon content per unit calorific value of natural gas based on the carbon content per unit volume of natural gas, and calculate the carbon emissions per unit calorific value of natural gas based on the carbon content per unit calorific value of natural gas; use the carbon emissions per unit calorific value of natural gas and the expected average carbon trading price to calculate the carbon emission price per unit calorific value of natural gas; use the natural gas procurement price and the received base low calorific value to calculate the procurement price per unit calorific value of natural gas; and determine the comprehensive price per unit calorific value of natural gas based on the carbon emission price per unit calorific value of natural gas and the procurement price per unit calorific value of natural gas. The present invention calculates the comprehensive price of various types of natural gas through characteristic data of different natural gas sources and provides optimal natural gas selection recommendations.

Description

Technical Field

[0001] The present invention belongs to the field of power engineering technology, and in particular relates to a natural gas source selection method, system, storage medium and computing equipment. Background Art

[0002] As the domestic carbon emissions trading market and the carbon emissions quota management system for key energy companies gradually mature, carbon emissions have become an important source of cost for energy companies.

[0003] Currently, large energy companies mainly use natural gas calorific value and price as criteria when selecting natural gas, without considering the differences in carbon emissions caused by different gas sources. Therefore, there is an urgent need for a natural gas source selection method for large energy companies that comprehensively considers natural gas calorific value, carbon emissions and price. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to address the deficiencies in the above-mentioned existing technologies and provide a natural gas source selection method, system, storage medium and computing device, which can accurately calculate the purchase price and carbon emission price caused by the basic composition characteristics of natural gas itself, solve the problem that energy companies currently do not consider the comprehensive characteristic differences of carbon emissions and calorific value of different natural gas sources when purchasing gas sources, and provide decision-making support for natural gas procurement of related companies.

[0005] The present invention adopts the following technical solutions:

[0006] A method for selecting a natural gas source comprises the following steps:

[0007] S1. Obtain the low calorific value Q of the natural gas available for purchase net,ar , natural gas purchase price P gas,V and natural gas gas composition data;

[0008] S2. Obtain carbon trading market price information, collect statistics on carbon trading price information in the last four procurement cycles, use the least squares method to fit the carbon trading price curve, and calculate the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting.

[0009] S3. Calculate the carbon content m per unit volume of natural gas using the natural gas composition data obtained in step S1. c , based on the carbon content per unit volume of natural gas m c Calculate the unit calorific value of natural gas based on the low calorific value per unit volume of natural gas and the carbon content C c,gas , according to the carbon content C of natural gas unit calorific value c,gas Calculate the carbon emissions per unit calorific value of natural gas E c ;

[0010] S4: Carbon emissions per unit calorific value of natural gas E obtained in step S3 c and the predicted average carbon trading price obtained in step S2 Calculate the carbon emission price P of natural gas per unit calorific value c ; Using the natural gas purchase price P obtained in step S1 采,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采 ; According to the unit calorific value of natural gas carbon emission price P c and the unit calorific value natural gas purchase price P 采 Calculate the comprehensive price of natural gas per unit calorific value P gas ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan.

[0011] Specifically, in step S2, the average carbon trading price of each of the four periods before this procurement plan period is calculated, and then the carbon trading price during the procurement period, and the predicted average carbon trading price during this procurement period are calculated. for:

[0012]

[0013] Where X is the serial number of this procurement cycle, and a, b, and c are the coefficients of the fitting formula.

[0014] Specifically, in step S3, the carbon content per unit volume of natural gas is calculated using the natural gas composition data as follows:

[0015] S3011. Calculate the molar mass M of natural gas using natural gas composition data gas and the gas constant R g ;

[0016]

[0017] in, is the volume fraction of methane, is the volume fraction of ethane, is the volume fraction of propane, is the volume fraction of butane, is the volume fraction of carbon dioxide, φ CO is the volume fraction of carbon monoxide, is the volume fraction of hydrogen sulfide, is the volume fraction of water molecules;

[0018]

[0019] Where R is the molar gas constant;

[0020] S3012. Calculate the mass of natural gas per unit volume under standard conditions (m)gas ;

[0021]

[0022] Among them, p0 is the standard operating pressure, V0 is the unit volume of natural gas, and T0 is the standard operating temperature;

[0023] S3013. Calculate the carbon content of natural gas per unit volume (m2) c ;

[0024]

[0025] Among them, ω c is the mass fraction of carbon element in natural gas under standard conditions.

[0026] Specifically, in step S3, the carbon content per unit calorific value of natural gas C c,gas for:

[0027]

[0028] Among them, C c,gas is the carbon content per unit calorific value of natural gas under standard conditions, Q net,ar The natural gas receives the basic low calorific value.

[0029] Specifically, in step S3, the carbon emissions per unit calorific value of natural gas E c for:

[0030]

[0031] Among them, E c is the carbon emissions of natural gas per unit calorific value.

[0032] Specifically, in step S4, the comprehensive price of natural gas P gas for:

[0033] P gas =P 采 +P c

[0034] Among them, P 采 is the purchase price of natural gas per unit calorific value, P c is the carbon emission price of natural gas per unit calorific value.

[0035] Furthermore, the unit calorific value natural gas purchase price P gas for:

[0036]

[0037] Carbon emission price per unit calorific value of natural gas P c for:

[0038] P c =E c ×P CO2

[0039] Among them, P 采,V is the purchase price of natural gas per unit volume.

[0040] In a second aspect, an embodiment of the present invention provides a natural gas source selection system, comprising:

[0041] Characteristic data acquisition module, obtains the low calorific value Q of natural gas available for purchase net,ar , natural gas purchase price P gas,V and natural gas gas composition data;

[0042] The carbon price statistical analysis module obtains carbon trading market price information, collects statistics on carbon trading price information in the last four procurement cycles, uses the least squares method to fit the carbon trading price curve, and calculates the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting.

[0043] The carbon emission calculation module uses the natural gas component data obtained by the characteristic data acquisition module to calculate the carbon content per unit volume of natural gas m c , based on the carbon content per unit volume of natural gas m c Calculate the unit calorific value of natural gas based on the low calorific value per unit volume of natural gas and the carbon content C c,gas , according to the carbon content C of natural gas unit calorific value c,gas Calculate the carbon emissions per unit calorific value of natural gas E c ;

[0044] Comprehensive cost evaluation module, using the carbon emission calculation module to obtain the unit calorific value of natural gas carbon emissions E c and the expected average carbon trading price obtained by the carbon price statistical analysis module Calculate the carbon emission price P of natural gas per unit calorific value c ; The natural gas purchase price P obtained by the feature data acquisition module gas,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采 ; According to the unit calorific value of natural gas carbon emission price P c and the unit calorific value natural gas purchase price P 采 Calculate the comprehensive price of natural gas per unit calorific value P gas ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan

[0045] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned natural gas source selection method when executing the computer program.

[0046] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, comprising a computer program, which implements the steps of the above-mentioned natural gas source selection method when executed by a processor.

[0047] Compared with the prior art, the present invention has at least the following beneficial effects:

[0048] A natural gas source selection method uses the Clapeyron equation to calculate various natural gas characteristic parameters based on natural gas characteristic data, thereby accurately measuring natural gas carbon emissions. This method overcomes the differences in calorific value and carbon emissions caused by different natural gas component compositions, provides a more reasonable overall comprehensive cost calculation scheme for natural gas, and solves the current practical problem of energy companies only considering purchase price when purchasing natural gas. Taking a large energy company in Beijing as an example, the annual cost reduction is expected to reach 80 million yuan compared with traditional methods, which can significantly reduce the operating costs of energy companies.

[0049] Furthermore, the carbon trading price statistical analysis captures the transaction volume and transaction price of the carbon exchange from the Internet in real time and stores them in the local database. It can quickly calculate the average carbon trading price of any procurement cycle according to the actual needs of users; it uses the least squares method to fit the curve of the historical transaction price of carbon emissions, explores the changing rules of carbon emission transaction prices, and realizes carbon emission transaction price prediction, which has the advantages of being fast and efficient.

[0050] Furthermore, different natural gas components have different calorific values ​​and carbon emission intensities produced by combustion. Natural gas component data can be used to accurately calculate the carbon content per unit volume of various natural gases.

[0051] Furthermore, the carbon content of natural gas directly affects carbon emissions. Calculating the carbon content per unit calorific value of natural gas lays the foundation for further accurate calculation of the differences in carbon emissions per unit calorific value of various natural gases.

[0052] Furthermore, by combining the predicted carbon emission trading price during the procurement cycle and the calculated carbon emissions per unit calorific value of natural gas, the carbon emission price per unit calorific value of each natural gas can be calculated, providing data support for measuring carbon emission differences.

[0053] Furthermore, the comprehensive cost calculation of natural gas effectively solves the problem of traditionally considering only the purchase price per unit volume. It can accurately compare the comprehensive prices of various natural gases and optimize the purchase cost.

[0054] Furthermore, the natural gas purchase price per unit calorific value and the natural gas carbon emission price per unit calorific value unify the natural gas cost calculation to be based on calorific value, which is in line with the actual situation that natural gas is mainly used for combustion for heat or power generation, and can make horizontal comparisons more objective and accurate.

[0055] In summary, the present invention comprehensively considers the differences in calorific value, carbon emissions, and price of different natural gas sources. By using the characteristic data of different natural gas sources, it calculates the comprehensive cost of various types of natural gas and provides natural gas procurement recommendations.

[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of the method of the present invention;

[0058] Figure 2 This is a schematic diagram of the structure of the natural gas procurement optimization calculation system in the present invention;

[0059] Figure 3 A schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0061] In the description of the present invention, it is to be understood that the terms “include” and “comprise” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0062] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0063] It should be further understood that the term "and / or" as used in the present specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. For example, A and / or B may represent: A alone, A and B simultaneously, or B alone. In addition, the character " / " herein generally indicates that the associated items are in an "or" relationship.

[0064] It should be understood that although the terms "first," "second," and "third" may be used to describe preset ranges in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are merely used to distinguish one preset range from another. For example, without departing from the scope of embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0065] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0066] The accompanying drawings illustrate various schematic diagrams of structures according to embodiments disclosed herein. These figures are not drawn to scale; for clarity, some details are exaggerated and some details may be omitted. The shapes of the various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary and may deviate in practice due to manufacturing tolerances or technical limitations. Those skilled in the art may design regions / layers with different shapes, sizes, and relative positions as needed.

[0067] The present invention provides a natural gas source selection method, which obtains characteristic data of various natural gases available for purchase; obtains price information from the carbon trading market, performs statistical analysis on the carbon trading price information, and calculates the predicted carbon trading price within the procurement cycle; calculates the carbon emissions per unit calorific value of various natural gases; calculates the comprehensive costs of various natural gases, compares them and gives the optimal natural gas source procurement recommendation, providing more comprehensive and accurate decision support for enterprise managers.

[0068] See also Figure 1 The present invention provides a method for selecting a natural gas source, comprising the following steps:

[0069] S1. Obtain various natural gas characteristic data available for purchase;

[0070] Natural gas characteristic data includes the received low calorific value of natural gas, purchase price and gas composition data.

[0071] Natural gas composition data includes the components of natural gas, such as methane, ethane, propane, water molecules, carbon dioxide, hydrogen sulfide, nitrogen, helium, etc., as well as the corresponding volume fraction of each component.

[0072] S2. Statistical analysis of carbon trading price information;

[0073] S201. Calculate the average carbon trading price of each of the four periods before this procurement period;

[0074]

[0075] in, is the average price of carbon trading within a procurement cycle, is the single carbon transaction price, m i is the number of single carbon transactions, and n is the total number of carbon transactions in a procurement cycle.

[0076] S202. Use the least squares method to perform curve fitting on the average prices of each of the four periods, and calculate the predicted average carbon trading price within this procurement period based on the fitting formula.

[0077]

[0078] in, is the predicted average carbon trading price within this procurement cycle, X is the serial number of this procurement cycle, and a, b, and c are the coefficients of the fitting formula.

[0079] S3. Calculate the carbon emissions per unit calorific value of various natural gas types;

[0080] S301. Use natural gas composition data to calculate the carbon content of natural gas per unit volume. The unit volume is standardized according to actual conditions. Commonly used units include 1 standard cubic meter, 10 4 Standard cubic meter, 1 standard cubic meter, 10 4 Standard cubic meters, etc., followed by 10 4 Let’s take the standard cubic meter as an example to illustrate;

[0081] S3011. Calculate the natural gas molar mass and gas constant using natural gas composition data;

[0082]

[0083] Among them, M gas is the molar mass of natural gas, g / mol; is the volume fraction of methane, %; is the volume fraction of ethane, %; is the volume fraction of propane, %; is the volume fraction of butane, %; is the volume fraction of carbon dioxide, %; φ CO is the volume fraction of carbon monoxide, %; is the volume fraction of hydrogen sulfide, %; is the volume fraction of water molecules, %.

[0084]

[0085] Among them, R g is the gas constant of natural gas, J / (kg·K); R is the molar gas constant, J / (mol·K).

[0086] S3012. Calculate the mass of natural gas per unit volume under standard conditions;

[0087]

[0088] Among them, m gas is the mass of natural gas per unit volume under standard conditions, t / 10 4 Nm 3 , p0 is the standard working pressure, kPa; V0 is the unit volume of natural gas, Nm 3 ; T0 is the standard operating temperature, K.

[0089] S3013. Calculate the carbon content per unit volume of natural gas.

[0090]

[0091] Among them, m c is the carbon content per unit volume of natural gas under standard conditions, tC / 10 4 Nm 3 ;ω c is the mass fraction of carbon element in natural gas under standard conditions, %.

[0092] S302, calculating the carbon content per unit calorific value of the natural gas using the calorific value and carbon content of the natural gas;

[0093] Carbon content C per unit calorific value of natural gas c,gas for:

[0094]

[0095] Among them, C c,gas is the carbon content of natural gas per unit calorific value under standard conditions, tC / GJ; Q net,ar To receive the basic low heat, MJ / Nm 3 .

[0096] S303. Calculate the carbon emissions per unit calorific value of natural gas based on the carbon content per unit calorific value.

[0097] Carbon emissions per unit calorific value of natural gas E c for:

[0098]

[0099] Among them, E c is the carbon emission per unit calorific value of natural gas, tCO2.

[0100] S4. Calculate the comprehensive costs of various natural gas sources, compare and provide recommendations for optimal natural gas source procurement.

[0101] S401. Calculate the carbon emission cost per unit calorific value of natural gas using the carbon emission per unit calorific value of natural gas and the expected average carbon trading price;

[0102] Carbon emission cost per unit calorific value of natural gas P 碳 for:

[0103]

[0104] in, The expected average carbon trading price during the procurement cycle, RMB / t.

[0105] S402. Calculate the unit calorific value natural gas purchase price using the natural gas purchase price and the received base low calorific value;

[0106] Natural gas purchase price per unit calorific value P 采 for:

[0107]

[0108] Among them, P gas,V The purchase price of natural gas per standard cubic meter, Yuan / Nm 3 .

[0109] S403. Calculate the comprehensive cost of natural gas, compare the comprehensive costs of various natural gases, and provide the most cost-effective procurement recommendations.

[0110] Comprehensive cost of natural gas P gas for:

[0111] P gas =P 碳 +P 采 (11)

[0112] Comparison of various comprehensive costs of natural gas is:

[0113] P min =min(P gasA ,P gasB ,…,PgasN )(12)

[0114] Among them, P min is the minimum cost of natural gas, RMB / GJ; P gasA is the comprehensive cost of natural gas A, RMB / GJ; P gasB is the comprehensive cost of natural gas B, RMB / GJ; P gasN is the comprehensive cost of natural gas C, Yuan / GJ.

[0115] The best purchasing recommendations are:

[0116] gas,i=f(P min ) (13)

[0117] Where gas,i is the cost-optimal natural gas source recommended for purchase.

[0118] See also Figure 2 In another embodiment of the present invention, a natural gas source selection system is provided, which can be used to implement the above-mentioned natural gas source selection method. Specifically, the natural gas source selection system includes a feature data acquisition module, a carbon price statistical analysis module, a carbon emission calculation module and a comprehensive cost evaluation module.

[0119] Among them, the characteristic data acquisition module obtains the low calorific value Q of the natural gas available for purchase net,ar , natural gas purchase price P gas,V and natural gas gas composition data;

[0120] The carbon price statistical analysis module obtains carbon trading market price information, collects statistics on carbon trading price information in the last four procurement cycles, uses the least squares method to fit the carbon trading price curve, and calculates the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting.

[0121] The carbon emission calculation module uses the natural gas component data obtained by the characteristic data acquisition module to calculate the carbon content per unit volume of natural gas m c , based on the carbon content per unit volume of natural gas m c Calculate the unit calorific value of natural gas based on the low calorific value per unit volume of natural gas and the carbon content C c,gas , according to the carbon content C of natural gas unit calorific value c,gas Calculate the carbon emissions per unit calorific value of natural gas E c ;

[0122] Comprehensive cost evaluation module, using the carbon emission calculation module to obtain the unit calorific value of natural gas carbon emissions E c and the expected average carbon trading price obtained by the carbon price statistical analysis module Calculate the carbon emission price P of natural gas per unit calorific valuec ; The natural gas purchase price P obtained by the feature data acquisition module gas,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采 ; According to the unit calorific value of natural gas carbon emission price P c and the unit calorific value natural gas purchase price P 采 Calculate the comprehensive price of natural gas per unit calorific value P gas ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan.

[0123] In another embodiment of the present invention, a terminal device is provided, comprising a processor and a memory, wherein the memory is configured to store a computer program, the computer program including program instructions, and the processor is configured to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. It is the computing core and control core of the terminal and is suitable for implementing one or more instructions, specifically loading and executing one or more instructions to implement a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used in the operation of a natural gas source selection method, including:

[0124] Get the low calorific value Q of natural gas available for purchase net,ar , natural gas purchase price P gas,V and natural gas composition data; obtain carbon trading market price information, collect statistics on carbon trading price information in the last four procurement cycles, use the least squares method to fit the carbon trading price curve, and calculate the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting Calculate the carbon content per unit volume of natural gas m using natural gas composition data c , based on the carbon content per unit volume of natural gas m c Calculate the unit calorific value of natural gas based on the low calorific value per unit volume of natural gas and the carbon content C c,gas , according to the carbon content C of natural gas unit calorific valuec,gas Calculate the carbon emissions per unit calorific value of natural gas E c ; Carbon emissions per unit calorific value of natural gas E c and predicted average carbon trading price Calculate the carbon emission price P of natural gas per unit calorific value c ; Using the natural gas purchase price P obtained in step S1 采,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采 ; According to the unit calorific value of natural gas carbon emission price P c and the unit calorific value natural gas purchase price P 采 Calculate the comprehensive price of natural gas per unit calorific value P gas ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan.

[0125] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (Non-Volatile Memory), such as at least one disk memory.

[0126] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the natural gas source selection method in the above embodiment. The processor may load and execute the following steps:

[0127] Get the low calorific value Q of natural gas available for purchase net,ar , natural gas purchase price P gas,V and natural gas composition data; obtain carbon trading market price information, collect statistics on carbon trading price information in the last four procurement cycles, use the least squares method to fit the carbon trading price curve, and calculate the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting Calculate the carbon content per unit volume of natural gas m using natural gas composition data c, based on the carbon content per unit volume of natural gas m c Calculate the unit calorific value of natural gas based on the low calorific value per unit volume of natural gas and the carbon content C c,gas , according to the carbon content C of natural gas unit calorific value c,gas Calculate the carbon emissions per unit calorific value of natural gas E c ; Carbon emissions per unit calorific value of natural gas E c and the predicted average carbon trading price P CO2 Calculate the carbon emission price P of natural gas per unit calorific value c ; Using the natural gas purchase price P obtained in step S1 采,V And received base low heat Q net,ar Calculate the purchase price P of natural gas per unit calorific value 采 ; According to the unit calorific value of natural gas carbon emission price P c and the unit calorific value natural gas purchase price P 采 Calculate the comprehensive price of natural gas per unit calorific value P gas ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan.

[0128] See also Figure 3 The computer device 60 of this embodiment includes a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable by the processor 61. When executed by the processor 61, the computer program 63 implements the natural gas source selection method of the embodiment. To avoid repetition, this description is omitted here. Alternatively, when executed by the processor 61, the computer program 63 implements the functions of each model / unit in the natural gas source selection system of the embodiment. To avoid repetition, this description is omitted here.

[0129] The computer device 60 may be a desktop computer, a notebook computer, a PDA, a cloud server, or other computing devices. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. It will be understood by those skilled in the art that Figure 3 This is merely an example of the computer device 60 and does not constitute a limitation of the computer device 60 . The computer device 60 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0130] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0131] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 60.

[0132] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is about to be output.

[0133] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0134] Example

[0135] For example, a large energy company in Beijing selected a natural gas source from three sources in December 2021 for its first quarter 2022 natural gas procurement. The calculation process and results are shown below:

[0136] (1) Obtain the basic characteristic data of natural gas A, natural gas B, and natural gas C available for purchase, as shown in Table 1:

[0137] Table 1 Natural gas characteristic data

[0138]

[0139]

[0140] (2) Obtain the carbon trading data of the Beijing Carbon Exchange in the four quarters of 2021, fit the carbon trading price curve formula, and calculate the predicted average carbon trading price in the first quarter of 2022, as shown in Table 2:

[0141] Table 2 Statistical analysis of carbon trading prices

[0142]

[0143] (3) Using the composition data of the three natural gases, the carbon emissions per unit calorific value of each natural gas were calculated, as shown in Table 3:

[0144] Table 3 Carbon emissions calculation

[0145]

[0146]

[0147] (4) Calculate the comprehensive costs of various natural gas sources and compare them to provide the optimal natural gas source procurement recommendations, as shown in Table 4:

[0148] Table 4 Comprehensive cost analysis

[0149]

[0150] The other party company that applied the method of the present invention, because its procurement management personnel were not clear about the comprehensive cost of different natural gas sources, simply compared the purchase price of each standard natural gas and selected natural gas A for the procurement plan. Only after putting this system into use could the comprehensive cost of each natural gas be accurately calculated. Based on the estimated total calorific value of 28 million GJ of natural gas planned to be purchased by the company in the first quarter of 2022, purchasing natural gas B according to the calculation results of the present invention can actually save about 18.26 million yuan in comprehensive costs compared with purchasing natural gas A under the traditional plan. It is estimated that the comprehensive cost can be saved by about 80 million yuan in 2022, which can bring significant economic benefits to the energy company.

[0151] In summary, the natural gas source selection method, system, storage medium, and computing device of the present invention can accurately calculate the comprehensive cost of natural gas, provide decision-making data support for procurement managers of various energy companies, reduce energy usage costs, and improve corporate profit margins.

[0152] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0153] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0154] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0155] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0156] The above content is only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A method for selecting a natural gas source, characterized in that: The following steps are involved: S1. Obtain the low calorific value of natural gas available for purchase , natural gas purchase price and natural gas gas composition data; S2. Obtain carbon trading market price information, collect statistics on carbon trading price information in the last four procurement cycles, use the least squares method to fit the carbon trading price curve, and calculate the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting. ; S3. Calculate the carbon content per unit volume of natural gas using the natural gas composition data obtained in step S1. , based on the carbon content per unit volume of natural gas Calculate the carbon content of natural gas unit calorific value based on the lower calorific value of natural gas per unit volume , based on the carbon content of natural gas per unit calorific value Calculating carbon emissions per unit calorific value of natural gas , using natural gas composition data to calculate the carbon content per unit volume of natural gas is: S3011. Calculate the molar mass of natural gas using natural gas composition data and the gas constant ; in, is the volume fraction of methane, is the volume fraction of ethane, is the volume fraction of propane, is the volume fraction of butane, is the volume fraction of carbon dioxide, is the volume fraction of carbon monoxide, is the volume fraction of hydrogen sulfide, is the volume fraction of water molecules; in, is the molar gas constant; S3012. Calculate the mass of natural gas per unit volume under standard conditions ; in, is the standard working pressure, is the unit volume of natural gas, is the standard operating temperature; S3013. Calculate the carbon content of natural gas per unit volume ; in, is the mass fraction of carbon element in natural gas under standard conditions; S4: Carbon emissions per unit calorific value of natural gas obtained in step S3 and the predicted average carbon trading price obtained in step S2 Calculating the carbon emission price of natural gas per unit calorific value ; Use the natural gas purchase price obtained in step S1 and receive base low heat Calculate the purchase price of natural gas per unit calorific value ; Based on the carbon emission price of natural gas per unit calorific value and natural gas purchase price per unit calorific value Calculate the comprehensive price of natural gas per unit calorific value ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan, the comprehensive price of natural gas for: in, is the purchase price of natural gas per unit calorific value, is the carbon emission price per unit calorific value of natural gas, and the purchase price per unit calorific value of natural gas for: Carbon emission price per unit calorific value of natural gas for: in, is the purchase price of natural gas per unit volume.

2. The natural gas source selection method according to claim 1, characterized in that: In step S2, the average carbon trading price of each of the four periods before this procurement plan period is calculated, and then the carbon trading price during the procurement period and the predicted average carbon trading price during this procurement period are calculated. for: in, This is the serial number of this procurement cycle. 、 、 are the coefficients of the fitting formula.

3. The natural gas source selection method according to claim 1, characterized in that: In step S3, the carbon content per unit calorific value of natural gas for: in, is the carbon content per unit calorific value of natural gas under standard conditions, The natural gas receives the basic low calorific value.

4. The natural gas source selection method according to claim 1, characterized in that: In step S3, the carbon emissions per unit calorific value of natural gas for: in, is the carbon emissions of natural gas per unit calorific value.

5. A natural gas source selection system, characterized in that: include: Characteristic data acquisition module, obtains the low calorific value of natural gas available for purchase , natural gas purchase price and natural gas gas composition data; The carbon price statistical analysis module obtains carbon trading market price information, collects statistics on carbon trading price information in the last four procurement cycles, uses the least squares method to fit the carbon trading price curve, and calculates the predicted average carbon trading price in this procurement cycle based on the carbon trading price curve fitting. ; The carbon emission calculation module calculates the carbon content per unit volume of natural gas using the natural gas component data obtained by the characteristic data acquisition module , based on the carbon content per unit volume of natural gas Calculate the carbon content of natural gas unit calorific value based on the lower calorific value of natural gas per unit volume , based on the carbon content of natural gas per unit calorific value Calculating carbon emissions per unit calorific value of natural gas , using natural gas composition data to calculate the carbon content per unit volume of natural gas is: Calculating Natural Gas Molar Mass Using Natural Gas Composition Data and the gas constant ; in, is the volume fraction of methane, is the volume fraction of ethane, is the volume fraction of propane, is the volume fraction of butane, is the volume fraction of carbon dioxide, is the volume fraction of carbon monoxide, is the volume fraction of hydrogen sulfide, is the volume fraction of water molecules; in, is the molar gas constant; Calculate the mass of natural gas per unit volume under standard conditions ; in, is the standard working pressure, is the unit volume of natural gas, is the standard operating temperature; Calculate the carbon content per unit volume of natural gas ; in, is the mass fraction of carbon element in natural gas under standard conditions; Comprehensive cost evaluation module, using the carbon emissions calculation module to obtain the unit calorific value of natural gas carbon emissions and the expected average carbon trading price obtained by the carbon price statistical analysis module Calculating the carbon emission price of natural gas per unit calorific value ; Natural gas purchase price obtained using the feature data acquisition module and receive base low heat Calculate the purchase price of natural gas per unit calorific value ; Based on the carbon emission price of natural gas per unit calorific value and natural gas purchase price per unit calorific value Calculate the comprehensive price of natural gas per unit calorific value ; Compare the comprehensive prices of available natural gas sources to determine the optimal natural gas selection plan, the comprehensive price of natural gas for: in, is the purchase price of natural gas per unit calorific value, is the carbon emission price per unit calorific value of natural gas, and the purchase price per unit calorific value of natural gas for: Carbon emission price per unit calorific value of natural gas for: in, is the purchase price of natural gas per unit volume.

6. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 4 .

7. A computing device, characterized in that include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any one of the methods according to claims 1 to 4.

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