Method for managing carbon emission reduction of landfill gas power generation project

Abstract

A management method for carbon emission reduction of a landfill gas power generation project comprises the following steps that S100, management data of the landfill gas power generation project in n preset time periods in the operation period are collected, carbon emission reduction data of the landfill gas power generation project in each preset time period are determined based on the management number, and n is a positive integer and is larger than or equal to 2; s200, determining an effective interval of a unit electric quantity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data; and S300, predicting the carbon emission reduction of the landfill gas power generation project based on the effective interval of the unit electric quantity emission reduction coefficient.

Description

Technical Field

[0001] The present disclosure relates to the field of environmental protection technology, and in particular to a method for managing carbon emission reduction in a landfill gas power generation project. Background Art

[0002] Methane is a powerful greenhouse gas, with a 20-year global warming potential that is more than eighty times that of an equal mass of carbon dioxide. Urban landfills are one of the major sources of methane emissions. Collecting and using landfill gas for power generation not only destroys methane but also produces electricity, which has synergistic benefits in many aspects, including the environment, society, and economy. Landfill gas power generation projects can be registered under carbon emission reduction mechanisms (CDM, VCS, CCER, etc.), and the carbon emission reduction can be traded on the carbon market after verification, bringing additional benefits to enterprises. Summary of the invention

[0003] Some embodiments of the present disclosure provide a method for managing carbon emission reductions in a landfill gas power generation project, comprising the following steps:

[0004] S100: collecting management data in n predetermined time periods during the operation period of the landfill gas power generation project and determining carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data, wherein n is a positive integer and n≥2;

[0005] S200: Determine an effective range of a unit electricity emission reduction coefficient for a landfill gas power generation project based on the carbon emission reduction data; and

[0006] S300: Predicting the carbon emission reduction amount of the landfill gas power generation project based on the effective range of the unit electricity emission reduction coefficient.

[0007] In some embodiments, collecting management data in n predetermined time periods during the operation of the landfill gas power generation project and determining carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data comprises the following steps:

[0008] S110: Collecting online power consumption, offline power consumption and landfill gas monitoring data in each of n predetermined time periods during the project operation period;

[0009] S120: Determine the carbon emission reduction data in each predetermined time period based on the online power, offline power and landfill gas monitoring data.

[0010] In some embodiments, the carbon emission reduction data in each predetermined time period in step S120 is determined using the following formula:

[0011] ER i =(Elec i,out -Elec i,in )×EF grid +Methanei ×d CH4 ×GWP CH4

[0012] Among them, ER t Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the amount of electricity consumed during the scheduled time period i, in MWh. i,in It represents the off-grid electricity in the ith scheduled time period, in MWh, EF grid Represents the grid emission factor in tCO2eq / MWh, Methane i Indicates the methane consumption in the i-th scheduled time period, in m 3 CH4,d CH4 Indicates the standard density of methane, unit tCH4 / m 3 CH4, GWP CH4 It represents the global warming potential of methane over one hundred years, and the unit is tCO2eq / tCH4, where i is a positive integer and 1≤i≤n.

[0013] In some embodiments, determining the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data comprises the following steps:

[0014] S210: Determine the unit electricity reduction coefficient in the n predetermined time periods based on the carbon emission reduction data and the on-grid electricity in the n predetermined time periods;

[0015] S220: Determine an effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient within n predetermined time periods.

[0016] In some embodiments, the unit electricity emission reduction coefficient described in step S210 is determined using the following formula:

[0017] f i =ER i / Elec i,out

[0018] Among them, f i It represents the unit electricity emission reduction coefficient in the i-th predetermined time period, and the unit is tCO2eq / MWh, ER i Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the online power consumption in the ith scheduled time period, in MWh.

[0019] In some embodiments, determining the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient in n predetermined time periods comprises the following steps:

[0020] S221: determining a unit electricity emission reduction coefficient interval for the landfill gas power generation project based on the unit electricity emission reduction coefficients in n predetermined time periods;

[0021] S222: removing unqualified unit electricity reduction coefficients based on the unit electricity reduction coefficient range of the landfill gas power generation project;

[0022] S223 updates the unit electricity emission reduction coefficient interval of the landfill gas power generation project based on the qualified unit electricity emission reduction coefficient;

[0023] S224: looping through steps S222 to S223 until the unit electricity emission reduction coefficients in the unit electricity emission reduction coefficient interval used to update the landfill gas power generation project are all qualified unit electricity emission reduction coefficients;

[0024] S225: The updated emission reduction coefficient range per unit electricity quantity of the landfill gas power generation project is used as the effective range of the emission reduction coefficient per unit electricity quantity of the landfill gas power generation project.

[0025] In some embodiments, the unit electricity emission reduction coefficient range of the landfill gas power generation project in step S221 is:

[0026]

[0027] in, It represents the average value of the unit electricity emission reduction coefficient in n predetermined time periods, in units of tCO2eq / MWh, σ n It represents the standard deviation of the unit electricity emission reduction coefficient within n predetermined time periods, the unit is tCO2eq / MWh, and k is a constant.

[0028] In some embodiments, the predicting of carbon emission reduction of the landfill gas power generation project based on the effective interval of the unit electricity emission reduction coefficient comprises the following steps:

[0029] S310: Obtaining the grid-connected power generation of the landfill gas power generation project within the time period to be predicted;

[0030] S320: estimating the carbon emission reduction of the landfill gas power generation project within the time period to be predicted based on the on-grid power generation of the landfill gas power generation project within the time period to be predicted and the effective range of the unit power generation emission reduction coefficient of the landfill gas power generation project.

[0031] In some embodiments, the following steps are further included between step S200 and step S300:

[0032] S250 optimizes the effective range of emission reduction coefficient per unit of electricity for landfill gas power generation projects.

[0033] In some embodiments, optimizing the effective range of the unit electricity emission reduction coefficient of the landfill gas power generation project further includes the following steps:

[0034] S251: Execute steps S100 and S200 based on the new operation period of the landfill gas power generation project to obtain a new effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project;

[0035] S252: The intersection of the effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project determined in step 200 and the new effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project is used as the effective interval of the emission reduction coefficient per unit electricity of the optimized landfill gas power generation project.

[0036] Compared with the related art, the above solution of the embodiment of the present disclosure has at least the following beneficial effects:

[0037] The carbon emission reduction management method of the landfill gas power generation project disclosed in the present invention collects landfill gas power generation project management data and performs statistical calculations to determine the effective range of the unit electricity reduction coefficient to perform carbon emission reduction prediction of the landfill gas power generation project, providing a reliable basis for the continuous and dynamic carbon emission reduction estimation and management of landfill gas power generation enterprises, helping enterprises to dynamically evaluate project operation, predict future carbon benefits, and provide better guidance for production activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flow chart showing a method for managing carbon emission reductions in a landfill gas power generation project provided by some embodiments of the present disclosure;

[0039] Figure 2 for Figure 1 Specific flow chart of step S100;

[0040] Figure 3 for Figure 1 Specific flow chart of step S200;

[0041] Figure 4 for Figure 3 Specific flow chart of step S220;

[0042] Figure 5 for Figure 1 Specific flow chart of step S300;

[0043] Figure 6 for Figure 1 Specific flow chart of step S250;

[0044] Figure 7 A schematic diagram of the structure of a device for managing carbon emission reductions in a landfill gas power generation project provided in some embodiments of the present disclosure;

[0045] Figure 8An electronic structure diagram of a device for managing carbon emission reductions in a landfill gas power generation project provided in some embodiments of the present disclosure. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0047] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit the present disclosure. The singular forms "a", "said" and "the" used in the embodiments of the present disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0048] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0049] It should be understood that although the terms first, second, third, etc. may be used to describe structures in the disclosed embodiments, these structures should not be limited to these terms. These terms are only used to distinguish different structures. For example, without departing from the scope of the disclosed embodiments, a first component may also be referred to as a second component, and similarly, a second component may also be referred to as a first component.

[0050] As used herein, the words "if" and "if" 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 determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0051] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

[0052] In related technologies, the process of using carbon reduction methodology to calculate carbon emission reduction is cumbersome and complicated, and often requires the intervention of professional consulting agencies to provide services or guidance. The services provided by consulting agencies are intermittent rather than continuous. During the operation of landfill gas power generation projects, data collection, carbon emission reduction calculation, report writing, and cooperation with third-party verification are generally provided every 1 to 2 years. For landfill gas power generation companies, a set of calculation and management methods with good continuity and easy operation can help companies dynamically evaluate project operations, predict future carbon benefits, and provide better guidance for production activities.

[0053] The present disclosure provides a method for managing carbon emission reduction of a landfill gas power generation project, comprising the following steps: S100: collecting management data within n predetermined time periods during the operation period of the landfill gas power generation project and determining the carbon emission reduction data of the landfill gas power generation project within each predetermined time period based on the management quantity, wherein n is a positive integer and n≥2; S200: determining an effective interval of a unit electricity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data; and S300: performing a prediction of carbon emission reduction of the landfill gas power generation project based on the effective interval of the unit electricity emission reduction coefficient.

[0054] The carbon emission reduction management method of the landfill gas power generation project disclosed in the present invention collects landfill gas power generation project management data and performs statistical calculations to determine the effective range of the unit electricity reduction coefficient to perform carbon emission reduction prediction of the landfill gas power generation project, providing a reliable basis for the continuous and dynamic carbon emission reduction estimation and management of landfill gas power generation enterprises, helping enterprises to dynamically evaluate project operation, predict future carbon benefits, and provide better guidance for production activities.

[0055] The optional embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0056] Figure 1 A flow chart showing a method for managing carbon emission reductions in a landfill gas power generation project provided in some embodiments of the present disclosure.

[0057] like Figure 1 As shown, some embodiments of the present disclosure provide a method for managing carbon emission reduction of a landfill gas power generation project, and the method for managing carbon emission reduction of a landfill gas power generation project includes the following steps:

[0058] S100: collecting management data in n predetermined time periods during the operation period of the landfill gas power generation project and determining carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data, wherein n is a positive integer and n≥2;

[0059] S200: Determine an effective range of a unit electricity emission reduction coefficient for a landfill gas power generation project based on the carbon emission reduction data; and

[0060] S300: Predicting the carbon emission reduction amount of the landfill gas power generation project based on the effective range of the unit electricity emission reduction coefficient.

[0061] In step S100, the predetermined time period is, for example, in units of days or months, and each specific predetermined time period is, for example, 1 day (24 hours) or 1 month. In other embodiments, the predetermined time period can also be selected according to the specific actual situation of the landfill gas power generation project, and n is usually selected as a positive integer greater than 10 or even larger.

[0062] Figure 2 for Figure 1 In the specific flow chart of step S100, in some embodiments, as Figure 2 As shown, step S100: collecting management data in n predetermined time periods during the operation of the landfill gas power generation project and determining the carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data includes the following steps:

[0063] S110: Collecting online power consumption, offline power consumption and landfill gas monitoring data in each of n predetermined time periods during the project operation period;

[0064] S120: Determine the carbon emission reduction data in each predetermined time period based on the online power, offline power and landfill gas monitoring data.

[0065] In step S110, most of the power generated by the landfill gas power generation project will be uploaded to the grid to sell electricity. When it is not generating electricity, it needs to purchase electricity from the grid to maintain the operation of the equipment. The online power refers to the power uploaded to the grid by the landfill gas power generation project, and the offline power refers to the power purchased from the grid by the landfill gas power generation project. The landfill gas monitoring data includes the total consumption of landfill gas, average methane concentration, average temperature, average pressure, etc.

[0066] In step S120, the carbon emission reduction data refers to the difference between the baseline carbon emissions and the carbon emissions of the landfill gas power generation project. The baseline carbon emissions refer to the unit activity level carbon emissions of the landfill gas power generation industry representing a certain production level, which is mainly used for quota allocation in the carbon trading mechanism and is the main basis of the baseline method.

[0067] The carbon emission reduction data in each predetermined time period in step S120 is determined by the following formula:

[0068] ER i =(Elec i,out -Elec i,in )×EF grid +Methane i ×d CH4 ×GWP CH4

[0069] Among them, ER t Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the amount of electricity consumed during the scheduled time period i, in MWh. i,in It represents the off-grid electricity in the ith scheduled time period, in MWh, EF grid Represents the grid emission factor in tCO2eq / MWh, Methane i Indicates the methane consumption in the i-th scheduled time period, in m 3 CH4,d CH4 Indicates the standard density of methane, unit tCH4 / m 3 CH4, GWP CH4 It represents the global warming potential of methane over one hundred years, and the unit is tCO2eq / tCH4, where i is a positive integer and 1≤i≤n.

[0070] Figure 3 for Figure 1 In the specific flow chart of step S200, in some embodiments, as Figure 3 As shown, step S200: determining the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data includes the following steps:

[0071] S210: Determine the unit electricity reduction coefficient in the n predetermined time periods based on the carbon emission reduction data and the on-grid electricity in the n predetermined time periods;

[0072] S220: Determine an effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient within n predetermined time periods.

[0073] In some embodiments, the unit electricity emission reduction coefficient described in step S210 is determined using the following formula:

[0074] f i =ER i / Elec i,out

[0075] Among them, f iIt represents the unit electricity emission reduction coefficient in the i-th predetermined time period, and the unit is tCO2eq / MWh, ER i Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the online power consumption in the ith scheduled time period, in MWh.

[0076] In some embodiments, the unit electricity emission reduction coefficient is generally used as an evaluation indicator for evaluating the carbon emission reduction effect of a landfill gas power generation project.

[0077] Figure 4 for Figure 3 In the specific flow chart of step S220, in some embodiments, as Figure 4 As shown,

[0078] Step S220: Determining the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient in n predetermined time periods includes the following steps:

[0079] S221: determining a unit electricity emission reduction coefficient interval for the landfill gas power generation project based on the unit electricity emission reduction coefficients in n predetermined time periods;

[0080] S222: removing unqualified unit electricity reduction coefficients based on the unit electricity reduction coefficient range of the landfill gas power generation project;

[0081] S223 updates the unit electricity emission reduction coefficient interval of the landfill gas power generation project based on the qualified unit electricity emission reduction coefficient;

[0082] S224: looping through steps S222 to S223 until the unit electricity emission reduction coefficients in the unit electricity emission reduction coefficient interval used to update the landfill gas power generation project are all qualified unit electricity emission reduction coefficients;

[0083] S225: The updated emission reduction coefficient range per unit electricity quantity of the landfill gas power generation project is used as the effective range of the emission reduction coefficient per unit electricity quantity of the landfill gas power generation project.

[0084] In some embodiments, the unit electricity emission reduction coefficient range of the landfill gas power generation project in step S221 is:

[0085]

[0086] in, It represents the average value of the unit electricity emission reduction coefficient in n predetermined time periods, in units of tCO2eq / MWh, σ n It represents the standard deviation of the unit electricity emission reduction coefficient in n predetermined time periods, the unit is tCO2eq / MWh, k is a constant, in some embodiments, k is a real number, 1≤k≤2, for example, k=2.

[0087] In step S222, the unit electricity reduction coefficient f in the i-th predetermined time period is determined. i Is it within the unit electricity emission reduction coefficient range of the landfill gas power generation project calculated in step S221? If so, the unit electricity emission reduction coefficient f is determined. i If qualified, the unit electricity reduction coefficient f is retained i If not, then the unit electricity reduction coefficient f i If it fails to meet the requirements, the emission reduction factor f of this unit of electricity will be discarded. i , traverse the unit electricity reduction coefficient f within n predetermined time periods i .

[0088] In step S223, the unit electricity emission reduction coefficient interval of the landfill gas power generation project is determined based on the qualified unit electricity emission reduction coefficients in the m predetermined time periods, where m is a positive integer, m≤n. Similar to step S221, the updated unit electricity emission reduction coefficient interval of the landfill gas power generation project in step S223 is:

[0089]

[0090] in, It represents the average value of the unit electricity emission reduction coefficient in m predetermined time periods, in units of tCO2eq / MWh, σ m represents the standard deviation of the unit electricity emission reduction coefficient in m predetermined time periods, the unit is tCO2eq / MWh, k is a constant, in some embodiments, k is a real number, 1≤k≤2, for example, k=2.

[0091] In step S224, steps S222 to S223 are executed in a loop. Specifically, based on confirming whether each of the unit electricity emission reduction coefficients within the m predetermined time periods is within the unit electricity emission reduction coefficient interval of the landfill gas power generation project calculated in step S223, unqualified unit electricity emission reduction coefficients are continuously screened out, and qualified unit electricity emission reduction coefficients are retained, until the unit electricity emission reduction coefficients in the unit electricity emission reduction coefficient interval used to update the landfill gas power generation project are all qualified unit electricity emission reduction coefficients.

[0092] In step S225, the effective range of the unit electricity emission reduction coefficient of the landfill gas power generation project is determined for subsequent prediction.

[0093] Figure 5 for Figure 1 In the specific flow chart of step S300, in some embodiments, as Figure 5 As shown, step S300: the prediction of carbon emission reduction of the landfill gas power generation project based on the effective interval of the unit electricity emission reduction coefficient includes the following steps:

[0094] S310: Obtaining the grid-connected power generation of the landfill gas power generation project within the time period to be predicted;

[0095] S320: estimating the carbon emission reduction of the landfill gas power generation project within the time period to be predicted based on the on-grid power generation of the landfill gas power generation project within the time period to be predicted and the effective range of the unit power generation emission reduction coefficient of the landfill gas power generation project.

[0096] In step S310, the grid-connected power generation of the landfill gas power generation project within the time period to be predicted may be the planned grid-connected power generation of the landfill gas power generation project, or may be the grid-connected power generation of the landfill gas power generation project counted within the time period to be predicted.

[0097] In step S320, the carbon emission reduction of the landfill gas power generation project within the predicted time period can be estimated using the following formula:

[0098] ER p =Elec p,out ×f p

[0099] ER p Indicates the carbon emission reduction of the landfill gas power generation project during the forecast period. p,out represents the grid-connected power generation of the landfill gas power generation project within the forecast period, f p It expresses the end value of the effective range of the unit electricity emission reduction coefficient of the landfill gas power generation project.

[0100] In step S320, it is estimated that the carbon emission reduction of the landfill gas power generation project within the predicted time period is also within an interval range.

[0101] In some embodiments, Figure 1 As shown, between step S200 and step S300, the method for managing carbon emission reduction of the landfill gas power generation project further includes the following steps:

[0102] S250 optimizes the effective range of emission reduction coefficient per unit of electricity for landfill gas power generation projects.

[0103] In some embodiments, with the continued operation of the landfill gas power generation project, the effective range of the unit electricity emission reduction coefficient formed previously may lead to reduced prediction accuracy due to the limitations of long data collection time or relatively small data collection amount. The prediction accuracy can be ensured by optimizing the effective range of the unit electricity emission reduction coefficient of the landfill gas power generation project to provide better guidance for production activities.

[0104] Figure 6 for Figure 1 The specific flow chart of step S250 is as follows: Figure 6As shown, in some embodiments, step S250: optimizing the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project further includes the following steps:

[0105] S251: Execute steps S100 and S200 based on the new operation period of the landfill gas power generation project to obtain a new effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project;

[0106] S252: The intersection of the effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project determined in step 200 and the new effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project is used as the effective interval of the emission reduction coefficient per unit electricity of the optimized landfill gas power generation project.

[0107] In step S251, for example, the n predetermined time periods used to determine the effective interval of the first unit electricity emission reduction coefficient of the landfill gas power generation project are time periods of the previous year. If the management data in each time period of the previous year has been obtained, the effective interval of the second unit electricity emission reduction coefficient of the landfill gas power generation project can be calculated based on the management quantity in multiple predetermined time periods of the previous year.

[0108] In step S252, the intersection of the first effective interval of the emission reduction coefficient per unit electricity and the second effective interval of the emission reduction coefficient per unit electricity is taken as the effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project, so as to ensure the accuracy of the prediction and provide better guidance for production activities.

[0109] Figure 7 A schematic diagram of a structure of a carbon emission reduction management device for a landfill gas power generation project provided in some embodiments of the present disclosure, such as Figure 7 As shown, some embodiments of the present disclosure also provide a carbon emission reduction management device 100 for a landfill gas power generation project, wherein the carbon emission reduction management device 100 for a landfill gas power generation project comprises: a management data collection device 10, a unit electricity emission reduction coefficient effective interval calculation device 20 and a carbon emission reduction prediction device 30.

[0110] The management data collection device 10 collects management data within n predetermined time periods during the operation period of the landfill gas power generation project and determines the carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management quantity, wherein n is a positive integer and n≥2; the unit electricity emission reduction coefficient effective interval calculation device 20 determines the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data; the carbon emission reduction prediction device 30 performs carbon emission reduction prediction of the landfill gas power generation project based on the effective interval of the unit electricity emission reduction coefficient.

[0111] Some embodiments of the present disclosure provide a non-transitory computer-readable storage medium storing computer program instructions, which, when called and executed by a processor, implement the steps of the method for managing carbon emission reductions of a landfill gas power generation project as described in any of the above embodiments.

[0112] Some embodiments of the present disclosure provide a management system for carbon emission reduction of a landfill gas power generation project, including a processor and a memory, wherein the memory stores computer program instructions that can be executed by the processor, and when the processor executes the computer program instructions, the method steps of any of the aforementioned embodiments are implemented.

[0113] Figure 8 The electronic structure diagram of the carbon emission reduction management device for the landfill gas power generation project provided in some embodiments of the present disclosure is as follows: Figure 8 As shown, the management device for carbon emission reduction of the landfill gas power generation project may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1008 to a random access memory (RAM) 1003. Various programs and data required for the operation of the management device are also stored in the RAM 1003. The processing device 1001, the ROM 1002, and the RAM 1003 are connected to each other via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0114] Typically, the following devices may be connected to the I / O interface 1005: input devices 1006 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1008 including, for example, a hard disk, etc.; and communication devices 1009. The communication devices 1009 may allow the management device to communicate with other management devices wirelessly or by wire to exchange data. Although Figure 8 A management device having various devices is shown, but it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have instead.

[0115] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a management device software program. For example, an embodiment of the present disclosure includes a management device software program product, which includes a computer program carried on a readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 1009, or installed from the storage device 1008, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0116] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0117] The computer-readable medium may be included in the management device, or may exist independently without being installed in the management device.

[0118] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0119] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0120] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A method for managing carbon emission reductions in a landfill gas power generation project, characterized in that: The following steps are involved: S100: collecting management data in n predetermined time periods during the operation period of the landfill gas power generation project and determining carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data, wherein n is a positive integer and n≥2; S200: Determine an effective range of a unit electricity emission reduction coefficient for a landfill gas power generation project based on the carbon emission reduction data; and S300: Predicting the carbon emission reduction amount of the landfill gas power generation project based on the effective range of the unit electricity emission reduction coefficient.

2. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 1, characterized in that: The collecting of management data in n predetermined time periods during the operation of the landfill gas power generation project and determining the carbon emission reduction data of the landfill gas power generation project in each predetermined time period based on the management data comprises the following steps: S110: Collecting online power consumption, offline power consumption and landfill gas monitoring data in each of n predetermined time periods during the project operation period; S120: Determine the carbon emission reduction data in each predetermined time period based on the online power, offline power and landfill gas monitoring data.

3. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 2, characterized in that: The carbon emission reduction data in each predetermined time period in step S120 is determined by the following formula: ER i =(Elec i,out -Elec i,in )×EF grid +Methane i ×d CH4 ×GWP CH4 Among them, ER t Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the amount of electricity consumed during the scheduled time period i, in MWh. i,in It represents the off-grid electricity in the ith scheduled time period, in MWh, EF grid Represents the grid emission factor in tCO2eq / MWh, Methane i Indicates the methane consumption in the i-th scheduled time period, in m 3 CH4,d CH4 Indicates the standard density of methane, unit tCH4 / m 3 CH4, GWP CH4 It represents the global warming potential of methane over one hundred years, and the unit is tCO2eq / tCH4, where i is a positive integer and 1≤i≤n.

4. The method for managing carbon emission reductions in a landfill gas power generation project according to any one of claims 1 to 3, characterized in that: Determining the effective range of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the carbon emission reduction data includes the following steps: S210: Determine the unit electricity reduction coefficient in the n predetermined time periods based on the carbon emission reduction data and the on-grid electricity in the n predetermined time periods; S220: Determine an effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient within n predetermined time periods.

5. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 4, characterized in that: The unit electricity reduction coefficient in step S210 is determined by the following formula: f i =IS i / Electric i,out Among them, f i It represents the unit electricity emission reduction coefficient in the i-th predetermined time period, and the unit is tCO2eq / MWh, ER i Indicates the carbon emission reduction in the i-th predetermined time period, the unit is tCO2eq, Elec i,out It represents the online power consumption in the ith scheduled time period, in MWh.

6. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 4, characterized in that: Determining the effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project based on the unit electricity emission reduction coefficient within n predetermined time periods includes the following steps: S221: determining a unit electricity emission reduction coefficient interval for the landfill gas power generation project based on the unit electricity emission reduction coefficients in n predetermined time periods; S222: removing unqualified unit electricity reduction coefficients based on the unit electricity reduction coefficient range of the landfill gas power generation project; S223 updates the unit electricity emission reduction coefficient interval of the landfill gas power generation project based on the qualified unit electricity emission reduction coefficient; S224: looping through steps S222 to S223 until the unit electricity emission reduction coefficients in the unit electricity emission reduction coefficient interval used to update the landfill gas power generation project are all qualified unit electricity emission reduction coefficients; S225: The updated emission reduction coefficient range per unit electricity quantity of the landfill gas power generation project is used as the effective range of the emission reduction coefficient per unit electricity quantity of the landfill gas power generation project.

7. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 6, characterized in that: The unit electricity reduction coefficient range of the landfill gas power generation project in step S221 is: in, It represents the average value of the unit electricity emission reduction coefficient in n predetermined time periods, in units of tCO2eq / MWh, σ n It represents the standard deviation of the unit electricity emission reduction coefficient within n predetermined time periods, the unit is tCO2eq / MWh, and k is a constant.

8. The method for managing carbon emission reductions in a landfill gas power generation project according to any one of claims 1 to 3, characterized in that: The method of predicting the carbon emission reduction of the landfill gas power generation project based on the effective interval of the unit electricity emission reduction coefficient comprises the following steps: S310: Obtaining the grid-connected power generation of the landfill gas power generation project within the time period to be predicted; S320: estimating the carbon emission reduction of the landfill gas power generation project within the time period to be predicted based on the on-grid power generation of the landfill gas power generation project within the time period to be predicted and the effective range of the unit power generation emission reduction coefficient of the landfill gas power generation project.

9. The method for managing carbon emission reductions in a landfill gas power generation project according to any one of claims 1 to 3, characterized in that: The following steps are also included between step S200 and step S300: S250 optimizes the effective range of emission reduction coefficient per unit of electricity for landfill gas power generation projects.

10. The method for managing carbon emission reductions in a landfill gas power generation project according to claim 9, characterized in that: Optimizing the effective range of unit electricity emission reduction coefficient of landfill gas power generation projects also includes the following steps: S251: Execute steps S100 and S200 based on the new operation period of the landfill gas power generation project to obtain a new effective interval of the unit electricity emission reduction coefficient of the landfill gas power generation project; S252: The intersection of the effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project determined in step 200 and the new effective interval of the emission reduction coefficient per unit electricity of the landfill gas power generation project is used as the effective interval of the emission reduction coefficient per unit electricity of the optimized landfill gas power generation project.

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