Energy management method and device

Abstract

The invention provides an energy management method and system. The method comprises the following steps: acquiring the current carbon emission of target equipment and a carbon emission target of the target equipment in a target time period; determining target carbon emission reduction in a target time period according to the current carbon emission and a carbon emission target; and determining the target mode according to the target carbon emission reduction amount and target data input by a user, wherein the target mode comprises at least one of the following emission reduction modes: energy replacement, energy efficiency improvement and carbon compensation.

Description

Technical Field

[0001] The present invention relates to the field of energy, and in particular to a method and device for energy management. Background Art

[0002] Companies usually specify scientific carbon reduction paths based on carbon emissions verification data and business development plans.

[0003] According to relevant requirements, enterprises will be informed of emission reduction requirements, so enterprises need to develop appropriate emission reduction methods. Summary of the invention

[0004] In view of this, the present invention proposes an energy management method, comprising:

[0005] Obtain the current carbon emissions of the target device and the carbon emissions target of the target device in the target time period;

[0006] Determine a target carbon emission reduction within a target time period based on the current carbon emissions and the carbon emission target;

[0007] The target method is determined according to the target carbon emission reduction amount and the target data input by the user, and the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

[0008] According to the method described above, optionally, determining the target mode according to the target carbon emission reduction amount and the target data input by the user includes:

[0009] receiving at least one target data input by a user;

[0010] Identify the corresponding emission reduction methods according to the target data;

[0011] Determine each predicted carbon emission reduction amount of the target equipment within the target time period according to each target data and the corresponding emission reduction method;

[0012] Determine whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction;

[0013] If the judgment result is yes, then the current emission reduction methods are determined to be the target methods.

[0014] According to the method described above, optionally, determining each predicted carbon emission reduction amount of the target device within the target time period according to each target data and the corresponding emission reduction method includes:

[0015] Determine the corresponding emission reduction formula based on each target data and emission reduction method, and the emission reduction formula is based on the CCER methodology;

[0016] The predicted carbon emission reduction amounts of the target equipment within the target time period are determined according to the target data and the emission reduction formula.

[0017] According to the method as described above, optionally, before determining the target mode according to the target carbon emission reduction amount and the target data input by the user, the method further includes:

[0018] Receive at least one target data input by a user, where the target data belongs to at least one of the following information groups:

[0019] The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel;

[0020] The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system;

[0021] The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor;

[0022] The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator;

[0023] The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles;

[0024] The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium;

[0025] The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel;

[0026] The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel.

[0027] According to the method as described above, optionally, the target method for determining the target according to the target carbon emission reduction amount and the target data input by the user includes at least one of the following methods:

[0028] If it is identified that the target data belongs to the first information group, determining that the emission reduction method corresponding to the target information is energy substitution;

[0029] If it is identified that the target data belongs to the second information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0030] If it is identified that the target data belongs to the third information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0031] If it is identified that the target data belongs to the fourth information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0032] If it is identified that the target data belongs to the fifth information group, determining that the emission reduction method corresponding to the target information is energy substitution;

[0033] If it is identified that the target data belongs to the sixth information group, determining that the emission reduction method corresponding to the target information is energy improvement;

[0034] If it is identified that the target data belongs to the seventh information group, determining that the emission reduction method corresponding to the target information is carbon compensation;

[0035] If it is identified that the target data belongs to the eighth information group, it is determined that the emission reduction method corresponding to the target information is energy efficiency improvement.

[0036] The present invention also provides an energy management device, comprising:

[0037] An acquisition unit, which is used to acquire the current carbon emission of the target device and the carbon emission target of the target device in the target time period;

[0038] A first determining unit, which is used to determine a target carbon emission reduction amount within a target time period according to the current carbon emission amount and the carbon emission target;

[0039] The second determination unit is used to determine the target method according to the target carbon emission reduction amount and the target data input by the user, and the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

[0040] According to the device as described above, optionally, the second determining unit specifically includes:

[0041] A receiving subunit, configured to receive at least one target data input by a user;

[0042] An identification subunit, used for identifying corresponding emission reduction methods according to the target data;

[0043] A first determination subunit, configured to determine each predicted carbon emission reduction amount of the target device within a target time period according to each target data and the corresponding emission reduction method;

[0044] A judging subunit, configured to judge whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction, and if the judgment result is yes, triggering a second determining subunit;

[0045] The second determination subunit is used to determine each current emission reduction mode as the target mode.

[0046] According to the device as described above, optionally, it further comprises:

[0047] A receiving unit, configured to receive at least one target data input by a user, wherein the target data belongs to at least one of the following information groups:

[0048] The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel;

[0049] The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system;

[0050] The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor;

[0051] The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator;

[0052] The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles;

[0053] The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium;

[0054] The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel;

[0055] The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel.

[0056] The present invention further provides an energy management device, comprising:

[0057] at least one memory for storing instructions;

[0058] At least one processor is configured to execute the energy management method as described above according to the instructions stored in the memory.

[0059] The present invention further provides a readable storage medium, wherein the readable storage medium stores machine-readable instructions. When the machine-readable instructions are executed by a machine, the machine executes the energy management method as described in any one of the above items.

[0060] According to the energy management method, users can determine the final emission reduction method based on the target carbon emission reduction amount and the target data input by the user, and subsequent users can also adjust the corresponding emission reduction method in real time, which is very convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the above and other features and advantages of the present invention will be more apparent to those skilled in the art. In the accompanying drawings:

[0062] Figure 1 FIG. 4 is a flow chart of an energy management method according to an embodiment of the present invention.

[0063] Figure 2A FIG. 4 is a schematic diagram of the structure of an energy management device according to an embodiment of the present invention.

[0064] Figure 2B FIG. 4 is a schematic diagram of the structure of an energy management device according to another embodiment of the present invention.

[0065] Figure 3 FIG. 4 is a schematic diagram of the structure of an energy management device according to another embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail with reference to the following embodiments. Nouns and pronouns related to people in this patent application are not limited to specific genders.

[0067] The present invention implements the management of carbon emissions based on the CCER (China Certified Emission Reduction) methodology to meet the carbon emissions requirements of users.

[0068] Embodiment 1

[0069] This embodiment provides an energy management method for formulating emission reduction methods. The device that executes the method is an energy management device, which can be integrated into any other device or software platform, and of course can also be set up separately, which will not be repeated here.

[0070] like Figure 1FIG. 1 is a flow chart of an energy management method according to this embodiment. The energy management method includes:

[0071] Step 101: Acquire the current carbon emission of the target device and the carbon emission target of the target device in the target time period.

[0072] The target device here can be a building, a factory, a power plant, or even a single energy-consuming device, which can be selected according to actual needs. The current emissions can be the emissions in the previous cycle, and each cycle is the same as the target time period, or it can be the emissions in the historical target time period of the same period. The target time period can be one day, one month, or one year, which can be set according to actual needs. The target time period here can be a future time, such as the next day, month, or year.

[0073] The carbon emission target is the carbon emissions that the company wants its target equipment to achieve within the target time period. It can be achieved according to the requirements issued by the government, or it can be set by the company based on actual conditions.

[0074] The current carbon emission amount and the carbon emission target may be input by the user, or found by the user according to historical records or updated by the user according to a preset website, and the specific method is not limited.

[0075] Step 102, determining a target carbon emission reduction within a target time period according to the current carbon emission and the carbon emission target.

[0076] Target carbon emission reduction = current carbon emissions - carbon emission target.

[0077] The target carbon emission reduction can be displayed so that the user can have an intuitive feeling. Of course, the target carbon emission reduction can also be the internal operation logic of the energy management device for subsequent determination of the target method.

[0078] Step 103, determining a target method according to the target carbon emission reduction amount and the target data input by the user, wherein the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

[0079] Energy substitution here refers to the use of new energy to replace the original energy, such as replacing electric or hybrid vehicles with fuel vehicles, replacing coal-fired boilers with gas boilers or electric boilers, replacing power grid power generation with renewable energy, etc., which includes many specific methods. Energy efficiency improvement refers to the use of new equipment to replace the original equipment, and the energy efficiency of the equipment is improved, such as the optimization of lighting systems, HVAC / refrigeration systems, air compressors, motors, boilers, etc., which includes many specific methods. Carbon compensation refers to carbon trading, carbon sequestration and carbon capture technology, green electricity purchases, etc., which includes many specific methods.

[0080] As an exemplary description, step 103 specifically includes:

[0081] receiving at least one target data input by a user;

[0082] Identify the corresponding emission reduction methods according to the target data;

[0083] Determine the predicted carbon emission reduction amount of the target equipment within the target time period according to each target data and the corresponding emission reduction method;

[0084] Determine whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction;

[0085] If the judgment result is yes, the current emission reduction methods are determined to be target methods.

[0086] In this method, the emission reduction method is first determined according to the target data, and the corresponding emission reduction method is determined according to the emission reduction method, and then the corresponding emission reduction formula is found. The emission reduction formula is based on the CCER (National Certified Voluntary Emission Reduction) methodology. According to the emission reduction formula, the corresponding predicted carbon emission reduction can be known. If the sum of each predicted carbon emission reduction can reach the target emission reduction, then each emission reduction method can be determined as the next operation to be performed. If the sum of each predicted carbon emission reduction can reach the target emission reduction, then the input target data can be adjusted to achieve the target emission reduction, and then the corresponding emission reduction method is determined.

[0087] The “various emission reduction methods” described here include the case where there is only one emission reduction method, and also include the case where there are multiple emission reduction methods, for example, there are 2 emission reduction methods or 3 emission reduction methods, which are not limited here.

[0088] In this embodiment, regardless of whether the target emission reduction is achieved, the corresponding data can be displayed to the user. For example, the current carbon emissions, carbon emission targets, and emission reduction methods can be displayed in the same diagram. The diagram can automatically stack the emission reduction items of each parameter according to the completion time, providing the user with a clear emission reduction planning path chart.

[0089] According to the energy management method of this embodiment, the user can determine the final emission reduction method according to the target carbon emission reduction amount and the target data input by the user, and the user can also subsequently adjust the corresponding emission reduction method in real time, which is very convenient.

[0090] Embodiment 2

[0091] This embodiment further supplements the energy management method of the first embodiment. This embodiment mainly further supplements the first embodiment.

[0092] In this embodiment, the user will input corresponding data, and different emission reduction methods will be determined according to different corresponding data. Different emission reduction methods include several formulas, and the corresponding predicted carbon emission reduction amount can be calculated according to the corresponding formula.

[0093] Before determining the target mode according to the target carbon emission reduction amount and the target data input by the user, the method further includes receiving at least one target data input by the user, where the target data belongs to at least one of the following information groups:

[0094] The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel;

[0095] The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system;

[0096] The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor;

[0097] The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator;

[0098] The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, and the fuel type of the original vehicle;

[0099] The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium;

[0100] The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel;

[0101] The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel.

[0102] Each of the above information groups can be input by the user as target data. The titles of the above information can be displayed to the user, and the user can fill in the corresponding filling box, or the user can make a selection according to the prompt. The user can fill in or make a selection according to the operating conditions of his own business, which gives the user a lot of optional space. This method is suitable for a variety of occasions.

[0103] Determining the predicted carbon emission reductions of the target equipment within the target time period based on the target data and the corresponding emission reduction methods includes: determining the corresponding emission reduction formula based on the target data and the emission reduction method, the emission reduction formula is based on the CCER methodology; determining the predicted carbon emission reductions of the target equipment within the target time period based on the target data and the emission reduction formula.

[0104] Input the target data into the emission reduction formula based on CCER methodology corresponding to the emission reduction method to obtain the corresponding predicted carbon emission reduction. If the sum of the emission reductions can reach the target carbon emission reduction, determine the corresponding emission reduction method.

[0105] Below, further specific descriptions are given for each of the above information groups. For example, the corresponding emission reduction methods according to each target data identification are:

[0106] Regarding energy substitution, for example, national or regional power grids are collectively referred to as power grids, self-contained power plants using fuel, and carbon-intensive (fuel-based) microgrids. Here, microgrids refer to small power systems with a total installed capacity of no more than 15 megawatts, that is, the total installed capacity of all generators in the system is less than or equal to 15 megawatts, and the grid is not connected to the national or regional power grid. The original fuel type refers to the type of fuel originally used by the target equipment, and the new fuel type refers to the newly built target equipment or the modified target equipment.

[0107] The emission reduction method corresponding to the first information group is energy substitution. Assume that the emission reduction formula is: ER_y=BE_bl,y–PE_pj,y.

[0108] ER_y represents the predicted carbon emission reduction in year y, BE_bl,y represents the carbon emission of the original fuel in year y, and PE_pj,y represents the carbon emission of the new fuel in year y. The specific method of obtaining BE_bl,y will vary according to different situations, as follows:

[0109] Scenario 1: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of PV, and the new fuel is a fossil fuel other than diesel.

[0110] Scenario 2: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of photovoltaic power, the power generation efficiency of the new fuel, and the supply of the original fuel. The new fuel is a fossil fuel other than diesel and the total installed capacity of photovoltaic power is less than the supply of the original fuel.

[0111] Scenario 3: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of photovoltaic power, the power generation efficiency of the new fuel, and the supply of the original fuel. The new fuel is a fossil fuel other than diesel and the total installed capacity of photovoltaic power is greater than the supply of the original fuel.

[0112] Scenario 4: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of PV, and the new fuel is diesel.

[0113] Scenario 5: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of photovoltaic power, the power generation efficiency of the new fuel, and the supply of the original fuel. The new fuel is diesel and the total installed capacity of photovoltaic power is less than the supply of the original fuel.

[0114] Scenario 6: The user inputs the city where the project is located, the type of new fuel, the total installed capacity of photovoltaic power, the power generation efficiency of the new fuel, and the supply of the original fuel. The new fuel is diesel and the total installed capacity of photovoltaic power is greater than the supply of the original fuel.

[0115] Users can choose which specific data to input based on actual conditions. Each of the above situations corresponds to a different emission reduction formula. Of course, you can also include any of the above situations at the same time. In this case, you can obtain the predicted carbon emission reduction separately, and finally take the sum of the predicted carbon emission reduction as the final predicted carbon emission reduction.

[0116] Regarding energy efficiency improvement, it can use more energy-efficient lamps to replace existing lighting equipment or ballasts, install intelligent lighting control systems, etc., and the resulting lighting energy savings can be used as carbon reduction benefits. The emission reduction method corresponding to the second information group is energy efficiency improvement, and the second information group can simultaneously consider various factors such as the emission reduction of new lighting equipment, the interactive impact of electric cooling, the interactive impact of fuel cooling, the interactive impact of electric heating, and the interactive impact of fuel heating.

[0117] The second information group specifically corresponds to a variety of situations, each of which may correspond to a different emission reduction formula, for example:

[0118] Case a: The user inputs the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, and the annual operating hours of the new lighting equipment.

[0119] Case b: The user inputs the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, and the energy saving coefficient of the new lighting equipment compared to the original lighting equipment.

[0120] Case c: The user inputs the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the annual operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment compared to the original lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling months of the cooling system.

[0121] The grid emission factors or interaction factors will be used, which can be obtained through the preset database. For example, the corresponding grid emission factors can be obtained through the city where the project is located.

[0122] Of course, any two or three of the above situations may also be included at the same time, in which case the predicted carbon emission reductions may be obtained separately, and finally the sum of the predicted carbon emission reductions is taken as the final predicted carbon emission reduction.

[0123] The emission reduction method corresponding to the third information group is energy efficiency improvement. The third information group is mainly for air compressor (air compressor) transformation projects. It includes the following situations:

[0124] Case H, air compressor replacement, that is, using a new device to replace the original air compressor. The target data entered by the user at this time is:

[0125] The city where the project is located, the annual operating time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operating time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, and the annual operating time of the new equipment.

[0126] In this case, multiple sets of air compressor parameters can be input.

[0127] Case I: Air compressor transformation, that is, to transform the original air compressor. The target data entered by the user at this time is:

[0128] The city where the project is located, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the annual average loading rate of the original air compressor, the annual operating time of the original air compressor, and the energy saving rate of the modified air compressor. The energy saving rate of the modified air compressor can be provided by the supplier.

[0129] Of course, the above-mentioned situation H and situation I may also be included at the same time. In this case, the predicted carbon emission reductions may be obtained separately, and finally the sum of the two is taken as the final predicted carbon emission reduction.

[0130] The emission reduction method corresponding to the fourth information group is energy efficiency improvement. Install new energy-saving equipment containing refrigerants (such as refrigerators, air conditioners, pump systems and freezers, etc.) at one or more project sites (the project boundary should include the overall refrigeration system). It corresponds to the following situations:

[0131] Situation P: Use new refrigerant to replace the original refrigerator. At this time, the target data that the user can enter is:

[0132] The city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operating time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operating time of the new refrigerator, and the number of new refrigerators.

[0133] Situation Q: Use new refrigerant to replace the original refrigerant. The target data that the user can enter at this time is:

[0134] The city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operating time of the original refrigerator, the number of original refrigerators, the type of original refrigerant, the average annual replenishment of the original refrigerant, the type of new refrigerant, and the average annual replenishment of the new refrigerant.

[0135] Scenario R: Improve the energy efficiency of the original refrigerator. The target data that the user can enter is:

[0136] The city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operating time of the original refrigerator, the number of original refrigerators, and the energy consumption optimization coefficient of the refrigerator after transformation.

[0137] Of course, any two or three of the above situations may also be included at the same time, in which case the predicted carbon emission reductions may be obtained separately, and finally the sum of the predicted carbon emission reductions is taken as the final predicted carbon emission reduction.

[0138] The emission reduction method corresponding to the fifth information group is energy substitution. It applies to projects that achieve emission reduction by introducing electric vehicles and / or hybrid vehicles to replace vehicles using fossil fuels in passenger and freight transport. The types of electric vehicles or hybrid vehicles introduced include but are not limited to cars, buses, trucks, jeeps, commuter vehicles, taxis, motorcycles and bicycles. The original vehicle and the new vehicle here are comparable. The original vehicle and the new vehicle belong to the same type, for example, motorcycles, buses, taxis, trucks, tricycles, and the original vehicle and the new vehicle have the same passenger capacity, and the rated power difference between the two does not exceed 20%. The corresponding situations mainly include the following:

[0139] Scenario M: The new vehicle is a pure electric vehicle. The data entered by the user are the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, and the city where the new vehicle is located.

[0140] Scenario N: The new vehicle is a hybrid vehicle. The data entered by the user are the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, and the type of fuel of the new vehicle.

[0141] Scenario L: the model of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the old vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles. The power supply method of the charging pile here is, for example, photovoltaic power supply or grid power supply.

[0142] Of course, any two or three of the above situations may also be included at the same time, in which case the predicted carbon emission reductions may be obtained separately, and finally the sum of the predicted carbon emission reductions is taken as the final predicted carbon emission reduction.

[0143] The emission reduction method corresponding to the sixth information group is energy efficiency improvement. New energy-saving equipment (such as light bulbs, ballasts, refrigerators, motors, fans, air conditioners, pump systems and freezers) is installed at one or more project sites. If the energy-saving equipment contains refrigerants, it should be ensured that the refrigerants used in the project have no ozone depletion potential (ODP). The predicted carbon emission reduction corresponding to the sixth information group is the reduction in electricity and / or fossil fuel consumption from the use of high-efficiency equipment. The sixth information group specifically corresponds to the following multiple situations.

[0144] Case S: ​​In the cooling case, the target data entered by the user include:

[0145] The city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual usage hours, the original heat pump cooling performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual usage hours, the new heat pump cooling performance coefficient, the original heat pump medium, and the new heat pump medium.

[0146] Case T: In the case of heating, the target data entered by the user include:

[0147] The city where the project is located, the original heat pump heating capacity, the original heat pump heating annual usage hours, the original heat pump heating performance coefficient, the new heat pump heating capacity, the new heat pump heating annual usage hours, the new heat pump heating performance coefficient, the original heat pump medium, and the new heat pump medium.

[0148] Of course, the above two situations can also be included at the same time. In this case, the predicted carbon emission reductions can be obtained separately, and finally the sum of the predicted carbon emission reductions is taken as the final predicted carbon emission reduction.

[0149] The emission reduction method corresponding to the seventh information group is carbon compensation. Fuel conversion measures (such as converting steam or compressed air into electricity) are adopted in single or multiple industrial facilities or mining and ore production facilities, such as fossil fuel conversion used in industrial, civil, commercial, institutional or power generation processes (for example, the fuel of existing self-use generators is converted from fuel oil to natural gas, or other fossil fuel oil boilers are replaced with natural gas boilers). It corresponds to the following situations:

[0150] Case W: OE_y < 600tCO2. OE_y represents the carbon emissions of the boiler using raw fuel. At this time, the user can enter the following target data:

[0151] The city where the project is located, the type of new fuel, the annual consumption of the new fuel, the annual consumption of the original fuel, the type of original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, and the carbon emissions of the boiler using the new fuel.

[0152] Case V: OE_y>600tCO2. OE_y represents the carbon emissions of the boiler using raw fuel. At this time, the user can enter the following target data:

[0153] The city where the project is located, the type of new fuel, the annual consumption of the new fuel, the annual consumption of the original fuel, the type of original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the average annual energy output of the original fuel.

[0154] Of course, the above-mentioned situations may also be included at the same time. In this case, the predicted carbon emission reductions may be obtained separately, and finally the sum of the predicted carbon emission reductions may be taken as the final predicted carbon emission reduction.

[0155] The emission reduction method corresponding to the eighth information group is energy efficiency improvement. Energy efficiency improvement is adopted in single or multiple industrial facilities or mining and ore production facilities, such as the use of high-efficiency motors or efficiency improvement measures in specific processes or mining and ore production (steel furnaces, paper drying, tobacco baking, etc.). It includes the following concentrated situations:

[0156] Scenario D: Equipment modification or replacement. The user can input the following target data: original fuel type, original fuel usage, new fuel type, new fuel usage.

[0157] Scenario E: Equipment is remodeled or replaced using the energy saving rate method. The user can enter the following target data: raw fuel type, raw fuel usage, and energy consumption optimization coefficient of the new fuel.

[0158] Case F: Central heating. This can be calculated in three ways: 1 Net purchased heat consumption; 2 Hot water purchased and hot water temperature; 3 Hot steam purchased and steam enthalpy.

[0159] The target data that the user can enter are all provided with relevant prompts, and the user can fill in the relevant data boxes according to actual needs. Of course, any two of the above situations or all three of the above situations can also be included at the same time. In this case, the predicted carbon emission reduction can be obtained separately, and finally the sum of the predicted carbon emission reduction can be used as the final predicted carbon emission reduction.

[0160] In this embodiment, various emission reduction methods are refined, and different levels of system emission reduction estimation methods are provided. The large-scale methods are refined into multiple smaller categories to facilitate user selection, which brings great convenience to users.

[0161] Embodiment 3

[0162] This embodiment provides an energy management device for executing the energy management method of Embodiment 1. The energy management device can be set up separately or integrated into other software platforms, and can be set up according to actual needs, which will not be described in detail here.

[0163] like Figure 2A FIG. 2 is a schematic diagram of the structure of an energy management device according to this embodiment. The energy management device includes an acquisition unit 201 , a first determination unit 202 and a second determination unit 203 .

[0164] Among them, the acquisition unit 201 is used to obtain the current carbon emissions of the target device and the carbon emission target of the target device in the target time period; the first determination unit 202 is used to determine the target carbon emission reduction within the target time period based on the current carbon emissions and the carbon emission target; the second determination unit 203 is used to determine the target method based on the target carbon emission reduction and the target data input by the user, and the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

[0165] Alternatively, if Figure 2B As shown, the second determination unit 203 specifically includes a receiving subunit 2031 , an identifying subunit 2032 , a first determination subunit 2033 , a judging subunit 2034 and a second determination subunit 2035 .

[0166] Among them, the receiving subunit 2031 is used to receive at least one target data input by the user; the identifying subunit 2032 is used to identify the corresponding emission reduction methods according to each target data; the first determining subunit 2033 is used to determine the predicted carbon emission reductions of the target device within the target time period according to each target data and the corresponding emission reduction method; the judging subunit 2034 is used to judge whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction, and if the judgment result is yes, the second determining subunit 2035 is triggered; the second determining subunit 2035 is used to determine that the current emission reduction methods are target methods.

[0167] Optionally, the first determining subunit 2033 is specifically configured to:

[0168] Determine the corresponding emission reduction formula based on each target data and emission reduction method. The emission reduction formula is based on the CCER methodology;

[0169] The predicted carbon emission reductions of the target equipment within the target time period are determined based on the target data and emission reduction formula.

[0170] The working methods of each unit in this embodiment are the same as those in the previous embodiment and will not be described again here.

[0171] According to the energy management method of this embodiment, the user can determine the final emission reduction method according to the target carbon emission reduction amount and the target data input by the user, and the user can also subsequently adjust the corresponding emission reduction method in real time, which is very convenient.

[0172] Embodiment 4

[0173] This embodiment further supplements the energy management device of the third embodiment.

[0174] like Figure 3As shown, the energy management device of this embodiment includes, in addition to the acquisition unit 201, the first determination unit 202 and the second determination unit 203, a receiving unit 204, the receiving unit 204 being used to receive at least one target data input by a user, the target data belonging to at least one of the following information groups:

[0175] The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel;

[0176] The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system;

[0177] The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor;

[0178] The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator;

[0179] The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles;

[0180] The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium;

[0181] The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel;

[0182] The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel.

[0183] Accordingly, the second determining unit 203 is specifically configured to:

[0184] If it is identified that the target data belongs to the first information group, determining that the emission reduction method corresponding to the target information is energy substitution;

[0185] If it is identified that the target data belongs to the second information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0186] If it is identified that the target data belongs to the third information group, it is determined that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0187] If it is identified that the target data belongs to the fourth information group, it is determined that the emission reduction method corresponding to the target information is energy efficiency improvement;

[0188] If it is identified that the target data belongs to the fifth information group, it is determined that the emission reduction method corresponding to the target information is energy substitution;

[0189] If it is identified that the target data belongs to the sixth information group, it is determined that the emission reduction method corresponding to the target information is energy improvement;

[0190] If it is identified that the target data belongs to the seventh information group, it is determined that the emission reduction method corresponding to the target information is carbon compensation;

[0191] If it is identified that the target data belongs to the eighth information group, it is determined that the emission reduction method corresponding to the target information is energy efficiency improvement.

[0192] The working methods of each unit in this embodiment are the same as those in the previous embodiment and will not be described again here.

[0193] In this embodiment, various emission reduction methods are refined, and different levels of system emission reduction estimation methods are provided. The large-scale methods are refined into multiple smaller categories to facilitate user selection, which brings great convenience to users.

[0194] The present invention also provides an energy management device, comprising at least one memory and at least one processor, wherein the memory is used to store instructions, and the processor is used to execute the energy management method described in any of the above embodiments according to the instructions stored in the memory.

[0195] An embodiment of the present invention further provides a readable storage medium in which machine-readable instructions are stored, and when the machine-readable instructions are executed by a machine, the machine executes the energy management method described in any of the above embodiments.

[0196] The readable medium stores machine-readable instructions, which, when executed by the processor, cause the processor to execute any of the aforementioned methods. Specifically, a system or device equipped with a readable storage medium may be provided, on which a software program code implementing the functions of any of the above-mentioned embodiments is stored, and a computer or processor of the system or device reads and executes the machine-readable instructions stored in the readable storage medium.

[0197] In this case, the program code itself read from the machine-readable medium can realize the function of any one of the above-mentioned embodiments, and thus the machine-readable code and the machine-readable storage medium storing the machine-readable code constitute a part of the present invention.

[0198] Examples of readable storage media include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer or a cloud via a communication network.

[0199] Those skilled in the art should understand that the various embodiments disclosed above can be modified and altered in various ways without departing from the essence of the invention. Therefore, the protection scope of the present invention should be defined by the appended claims.

[0200] It should be noted that not all steps and units in the above-mentioned processes and system structure diagrams are necessary, and some steps or units can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The device structure described in the above-mentioned embodiments can be a physical structure or a logical structure, that is, some units may be implemented by the same physical entity, or some units may be implemented by multiple physical entities, or some components in multiple independent devices may be implemented together.

[0201] In the above embodiments, the hardware unit can be realized by mechanical means or electrical means. For example, a hardware unit or a processor can include permanent dedicated circuits or logic (such as special processors, FPGA or ASIC) to complete the corresponding operation. The hardware unit or the processor can also include programmable logic or circuits (such as general-purpose processors or other programmable processors), which can be temporarily set by software to complete the corresponding operation. Concrete implementation (mechanical means or dedicated permanent circuits or temporarily set circuits) can be determined based on cost and time considerations.

[0202] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. Energy management methods, It is characterized in that include: Obtain the current carbon emissions of the target device and the carbon emissions target of the target device in the target time period; Determine a target carbon emission reduction within a target time period based on the current carbon emissions and the carbon emission target; The target method is determined according to the target carbon emission reduction amount and the target data input by the user, and the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

2. The method according to claim 1, It is characterized in that The target method for determining the target according to the target carbon emission reduction and the target data input by the user includes: receiving at least one target data input by a user; Identify the corresponding emission reduction methods according to the target data; Determine each predicted carbon emission reduction amount of the target equipment within the target time period according to each target data and the corresponding emission reduction method; Determine whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction; If the judgment result is yes, then the current emission reduction methods are determined to be the target methods.

3. The method according to claim 2, It is characterized in that Determining each predicted carbon emission reduction amount of the target device within the target time period according to each target data and the corresponding emission reduction method includes: Determine the corresponding emission reduction formula based on each target data and emission reduction method, and the emission reduction formula is based on the CCER methodology; The predicted carbon emission reduction amounts of the target equipment within the target time period are determined according to the target data and the emission reduction formula.

4. The method according to any one of claims 1 to 3, It is characterized in that Before determining the target method according to the target carbon emission reduction amount and the target data input by the user, the following further comprises: Receive at least one target data input by a user, where the target data belongs to at least one of the following information groups: The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel; The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system; The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor; The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator; The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles; The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium; The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel; The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel.

5. The method according to claim 4, It is characterized in that The target method is determined according to the target carbon emission reduction and the target data input by the user, including at least one of the following methods: If it is identified that the target data belongs to the first information group, determining that the emission reduction method corresponding to the target information is energy substitution; If it is identified that the target data belongs to the second information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement; If it is identified that the target data belongs to the third information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement; If it is identified that the target data belongs to the fourth information group, determining that the emission reduction method corresponding to the target information is energy efficiency improvement; If it is identified that the target data belongs to the fifth information group, determining that the emission reduction method corresponding to the target information is energy substitution; If it is identified that the target data belongs to the sixth information group, determining that the emission reduction method corresponding to the target information is energy improvement; If it is identified that the target data belongs to the seventh information group, determining that the emission reduction method corresponding to the target information is carbon compensation; If it is identified that the target data belongs to the eighth information group, it is determined that the emission reduction method corresponding to the target information is energy efficiency improvement. 6.Energy management device, It is characterized in that include: An acquisition unit, which is used to acquire the current carbon emission of the target device and the carbon emission target of the target device in the target time period; A first determining unit, which is used to determine a target carbon emission reduction within a target time period according to the current carbon emission and the carbon emission target; The second determination unit is used to determine the target method according to the target carbon emission reduction amount and the target data input by the user, and the target method includes at least one of the following emission reduction methods: energy substitution, energy efficiency improvement, and carbon compensation.

7. The device according to claim 6, It is characterized in that The second determining unit specifically includes: A receiving subunit, used for receiving at least one target data input by a user; An identification subunit, used for identifying corresponding emission reduction methods according to the target data; A first determination subunit, configured to determine each predicted carbon emission reduction amount of the target device within a target time period according to each target data and the corresponding emission reduction method; A judging subunit, configured to judge whether the sum of the predicted carbon emission reductions is greater than or equal to the target emission reduction, and if the judgment result is yes, triggering a second determining subunit; The second determining subunit is used to determine each current emission reduction mode as the target mode.

8. The device according to claim 6 or 7, It is characterized in that Also includes: A receiving unit, configured to receive at least one target data input by a user, wherein the target data belongs to at least one of the following information groups: The first information group includes at least one of the following information: the city where the project is located, the total installed capacity of photovoltaic power, the supply of raw fuel, the type of new fuel, the annual consumption of the new fuel, and the power generation efficiency of the new fuel; The second information group includes at least one of the following information: the city where the project is located, the power of the original lighting equipment, the annual operating hours of the original lighting equipment, the power of the new lighting equipment, the operating hours of the new lighting equipment, the energy saving coefficient of the new lighting equipment, the type of fuel used in the heating system, the efficiency of the heating system, the type of fuel used in the cooling system, the efficiency of the cooling system, and the annual cooling month of the cooling system; The third information group includes at least one of the following information: the city where the project is located, the annual operation time of the original air compressor, the average power consumption of the original air compressor in the loaded state, the annual average loading rate of the original air compressor, the average power consumption of the original air compressor in the loaded state, the average power consumption of the original air compressor in the unloaded state, the energy saving rate of the original air compressor, the annual operation time of the original air compressor, the annual loading rate of the new equipment, the average power consumption of the new equipment in the loaded state, the average power consumption of the new equipment in the unloaded state, the annual operation time of the new equipment, and the energy saving rate of the modified air compressor; The fourth information group includes at least one of the following information: the city where the project is located, the rated cooling capacity of the original refrigerator, the cooling efficiency of the original refrigerator, the annual operation time of the original refrigerator, the number of original refrigerators, the rated cooling capacity of the new refrigerator, the cooling efficiency of the new refrigerator, the annual operation time of the new refrigerator, the number of new refrigerants, the amount of original refrigerant replenishment, and the energy consumption optimization coefficient of the transformed refrigerator; The fifth information group includes at least one of the following information: the fuel type of the original vehicle, the fuel consumption of the original vehicle, the number of new vehicles, the annual mileage of the new vehicle, the power consumption of the new vehicle, the city where the new vehicle is located, the type of fuel of the new vehicle, the amount of charge provided by the charging pile for the new vehicle, the power supply method of the charging pile, the model of the new vehicle, the fuel consumption of the original vehicle, the fuel type of the original vehicle, the number of new vehicles, and the number of old vehicles; The sixth information group includes at least one of the following information: the city where the project is located, the original heat pump cooling capacity, the original heat pump cooling annual use hours, the original heat pump cooling performance coefficient, the original heat pump heating capacity, the original heat pump heating annual use hours, the original heat pump heating performance coefficient, the new heat pump cooling capacity, the new heat pump cooling annual use hours, the new heat pump cooling performance coefficient, the new heat pump heating capacity, the new heat pump heating annual use hours, the new heat pump heating performance coefficient, the original heat pump medium, the new heat pump medium; The seventh information group includes at least one of the following information: the city where the project is located, the type of new fuel, the annual usage of the new fuel, the annual usage of the original fuel, the type of the original fuel, the energy consumption optimization coefficient of the new fuel, the carbon emissions of the boiler using the original fuel, the carbon emissions of the boiler using the new fuel, and the annual average energy output of the original fuel; The eighth information group includes at least one of the following information: the original fuel type, the original fuel usage, the new fuel type, the new fuel usage, and the energy consumption optimization coefficient of the new fuel. 9.Energy management device, It is characterized in that include: at least one memory for storing instructions; At least one processor, configured to execute the energy management method according to any one of claims 1 to 5 according to the instructions stored in the memory.

10. A readable storage medium, It is characterized in that The readable storage medium stores machine-readable instructions. When the machine-readable instructions are executed by a machine, the machine executes the energy management method according to any one of claims 1 to 5.

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