CN112862631A - Data analysis method and device, electronic equipment and storage medium - Google Patents
Data analysis method and device, electronic equipment and storage medium Download PDFInfo
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- 229910052739 hydrogen Inorganic materials 0.000 claims abstract description 160
- 239000001257 hydrogen Substances 0.000 claims abstract description 160
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Abstract
The embodiment of the application provides a data analysis method and device, an electronic device and a storage medium, and relates to the technical field of data analysis. The data analysis method comprises the following steps: firstly, acquiring cost parameters and income parameters of a hydrogenation charging station to be treated; secondly, inputting the cost parameter and the profit parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed. Through the arrangement, automatic income calculation can be realized, the problems that in the prior art, the yield of energy storage and hydrogen production equipment is evaluated manually, the quantity of variable parameters is large, the economic precision calculation difficulty is high, and the resulting data analysis efficiency is low are solved, and the economic analysis accuracy of the hydrogenation charging station is improved.
Description
Technical Field
The present application relates to the field of data analysis technologies, and in particular, to a data analysis method and apparatus, an electronic device, and a storage medium.
Background
At present, battery energy storage and hydrogen production equipment is becoming an important supplier in the electric power auxiliary service market as a high-quality flexible resource. However, the inventor researches and discovers that in the prior art, the yield of the energy storage and hydrogen production equipment is evaluated manually, so that the variable parameters are more, the economic precision calculation difficulty is high, and the data analysis efficiency is low.
Disclosure of Invention
In view of the above, an object of the present application is to provide a data analysis method and apparatus, an electronic device, and a storage medium, so as to solve the problems in the prior art.
In order to achieve the above purpose, the embodiment of the present application adopts the following technical solutions:
in a first aspect, the present invention provides a data analysis method, including:
obtaining cost parameters and income parameters of a hydrogenation charging station to be treated;
and inputting the cost parameter and the profit parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed.
In an optional embodiment, the step of inputting the cost parameter and the profit parameter into a preset model for calculation to obtain the total net profit of the to-be-processed hydrogenation charging station includes:
inputting the cost parameter and the income parameter into a preset model;
calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on the preset model, and calculating the total income of the hydrogenation charging station to be processed according to the income parameters;
and calculating to obtain total net profit according to the total cost and the total profit.
In an optional embodiment, the cost parameter includes a device purchase fee, a design construction fee, a land purchase or lease fee, an approval and acceptance cost, an electricity fee cost, an operator cost, a device maintenance and repair cost, and an accident insurance fee of the hydroprocessing charging station to be processed, and the step of calculating the total cost of the hydroprocessing charging station to be processed according to the cost parameter includes:
calculating to obtain the investment cost of the hydrogenation charging station to be processed according to the equipment purchase cost, the design construction cost, the land purchase or lease cost and the examination and approval acceptance cost;
calculating the operation cost of the hydrogenation charging station to be processed according to the electric charge cost, the cost of operators, the equipment maintenance and repair cost and the accident insurance fee;
and calculating the total cost according to the investment cost and the operation cost.
In an optional embodiment, the profit parameter includes an electric power frequency modulation auxiliary service profit, an electric power peak modulation auxiliary service profit, a hydrogenation quality, an amount of outsourced hydrogen and hydrogen sold, a hydrogenation price, an price of outsourced hydrogen and hydrogen sold, a charging service electric quantity, and a charging service price of the to-be-processed hydrogenation charging station, and the step of calculating the total profit of the to-be-processed hydrogenation charging station according to the profit parameter includes:
calculating according to the electric power frequency modulation auxiliary service income and the electric power peak regulation auxiliary service income to obtain the electric power auxiliary service income of the hydrogenation charging station to be processed;
calculating the hydrogen selling income of the hydrogenation charging station to be processed according to the hydrogenation quality, the quantity of the outsourced hydrogen for selling, the hydrogenation service price and the price of the outsourced hydrogen for selling;
calculating to obtain the charging service income of the hydrogenation charging station to be processed according to the charging service electric quantity and the charging service price;
and calculating to obtain total income according to the electric power auxiliary service income, the hydrogen selling income and the charging service income.
In an alternative embodiment, the data analysis method further comprises:
obtaining depreciation parameters and annual net profits of the hydrogenation charging station to be treated;
and inputting the cost parameter, the depreciation parameter and the annual net profit into a preset model for calculation to obtain the static return period of the investment of the hydrogenation charging station to be processed.
In an optional embodiment, the step of calculating the static return period of investment of the to-be-processed hydrogen charging station by substituting the cost parameter, the depreciation parameter, and the net annual profit into a preset model includes:
bringing the cost parameter, depreciation parameter and annual net profit into the preset model;
calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on the preset model, and calculating the average equipment depreciation of the hydrogenation charging station to be processed according to the depreciation parameters;
and calculating to obtain a static return period of the investment according to the total cost, the average depreciation of the equipment and the net annual profit.
In an alternative embodiment, the depreciation parameters include depreciation of energy storage devices, depreciation of hydrogen production devices, and depreciation of other devices of the hydrogenation charging station to be processed, and the step of calculating the average depreciation of the devices of the hydrogenation charging station to be processed according to the depreciation parameters includes:
and calculating the average depreciation of the equipment according to the depreciation of the energy storage equipment, the depreciation of the hydrogen production equipment and the depreciation of other equipment.
In a second aspect, the present invention provides a data analysis apparatus comprising:
the parameter acquisition module is used for acquiring the cost parameter and the profit parameter of the hydrogenation charging station to be processed;
and the parameter calculation module is used for inputting the cost parameter and the income parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed.
In a third aspect, the present invention provides an electronic device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the data analysis method of any one of the preceding embodiments when executing the program.
In a fourth aspect, the present invention provides a storage medium, where the storage medium includes a computer program, and the computer program controls, when running, an electronic device in which the storage medium is located to execute the data analysis method according to any one of the foregoing embodiments.
According to the data analysis method and device, the electronic equipment and the storage medium, the total net profit is obtained by inputting the cost parameter and the profit parameter of the hydrogenation charging station to be processed into the preset model for calculation, the profit is automatically calculated, and the problems that in the prior art, the yield of energy storage and hydrogen production equipment is evaluated manually, the quantity of variable parameters is large, the economic precision calculation difficulty is large, and the data analysis efficiency is low are solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a block diagram of an electronic device according to an embodiment of the present application.
Fig. 2 shows a schematic flow chart of a data analysis method provided in an embodiment of the present application.
Fig. 3 shows another schematic flow chart of a data analysis method provided in an embodiment of the present application.
Fig. 4 shows a block diagram of a data analysis apparatus according to an embodiment of the present application.
Icon: 100-an electronic device; 110 — a first memory; 120-a first processor; 130-a communication module; 400-a data analysis device; 410-a parameter acquisition module; 420-parameter calculation module.
Detailed Description
The hydrogen energy automobile is one of important technical paths for low-carbon clean development of the traffic industry, and is one of key bearing bodies for consuming surplus photovoltaic, wind power and other new energy electric quantities. The hydrogen station is an infrastructure of the hydrogen energy automobile industry and becomes a focus of attention of policy makers and industrial investors. At present, the storage and transportation cost of hydrogen is high, so that the hydrogen production and hydrogenation station becomes an important mode in a medium-short term. The hydrogen production by reforming fossil fuel and the hydrogen production by electrolyzing water are the main technical routes in the hydrogen production technology on site in the hydrogen station. With the stricter and stricter carbon emission standards, the cost of the fossil fuel reforming hydrogen production technology is increased due to the need to configure a carbon capture facility in the future. With the rapid increase of new energy, the power cost can be rapidly reduced in the future, and the water electrolysis hydrogen production technology has good application prospect in a hydrogen station. At present, under the condition that two peak-valley electricity price making systems are executed by a user side, the cost of hydrogen production by water electrolysis is higher, and in order to effectively reduce the cost of hydrogen production, the method becomes a feasible measure for providing power auxiliary service by utilizing the flexible and controllable performance of energy storage and hydrogen production equipment.
At present, battery energy storage and hydrogen production equipment is becoming an important supplier in the electric power auxiliary service market as a high-quality flexible resource, however, the battery energy storage faces the challenges of high equipment investment and fast performance attenuation, and the electric power auxiliary service of the energy storage and hydrogen production equipment is complex in calculation and the like. Therefore, the energy storage and hydrogen production equipment jointly provides the power auxiliary service, the charging service and the hydrogen selling service in the power auxiliary service market, and becomes a high-income mode. In order to accurately evaluate the cost benefit of the model in the whole life cycle, an accurate economic analysis method for a plurality of service models considering the life attenuation of equipment under dynamic working conditions is needed.
In order to improve at least one of the above technical problems proposed by the present application, embodiments of the present application provide a data analysis method and apparatus, an electronic device, and a storage medium, and the following describes technical solutions of the present application through possible implementation manners.
The defects existing in the above solutions are the results obtained after the inventor has practiced and studied carefully, so the discovery process of the above problems and the solutions proposed by the embodiments of the present application in the following description to the above problems should be the contributions made by the inventor in the invention process.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, a block diagram of an electronic device 100 according to an embodiment of the present disclosure is shown, where the electronic device 100 in this embodiment may be a server, a processing device, a processing platform, and the like, which are capable of performing data interaction and processing. The electronic device 100 includes a first memory 110, a first processor 120, and a communication module 130. The elements of the first memory 110, the first processor 120 and the communication module 130 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines.
The first memory 110 is used for storing programs or data. The first Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The first processor 120 is used to read/write data or programs stored in the first memory 110 and perform corresponding functions. The communication module 130 is used for establishing a communication connection between the electronic device 100 and another communication terminal through a network, and for transceiving data through the network.
It should be understood that the configuration shown in fig. 1 is merely a schematic diagram of the configuration of the electronic device 100, and that the electronic device 100 may include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Referring to fig. 2, a flowchart of a data analysis method according to an embodiment of the present application can be executed by the electronic device 100 in fig. 1, for example, can be executed by the first processor 120 in the electronic device 100. It should be understood that, in other embodiments, the order of some steps in the data analysis method of this embodiment may be interchanged according to actual needs, or some steps may be omitted or deleted. The flow of the data analysis method shown in fig. 2 is described in detail below.
And step S210, acquiring the cost parameter and the income parameter of the hydrogenation charging station to be processed.
And S220, inputting the cost parameter and the income parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed.
According to the method, the total net profit is obtained by inputting the cost parameters and the profit parameters of the hydrogenation charging station to be processed into the preset model for calculation, so that the automatic profit calculation is realized, and the problems that in the prior art, the yield of energy storage and hydrogen production equipment is estimated manually, the time variable parameters are more, the economic precision calculation difficulty is high, and the data analysis efficiency is low are solved.
For step S210, it should be noted that the energy storage hydrogen production hydrogen charging combined supply station includes investment cost and operation cost. The investment costs of the co-generation station may include equipment procurement costs, design construction costs, land purchase or lease costs, examination and acceptance costs. The operation cost of the cogeneration station may include electricity charge cost, operator cost, equipment maintenance and repair cost, accident insurance cost.
The electric charge cost of the combined power station is related to the operation mode of the combined power station, and comprises capacity electric charge, electric quantity electric charge and electric power auxiliary service assessment charge. The electric power auxiliary service examination cost refers to fine paid by the power or electric quantity regulation and dispatching instruction deviation in the process of providing the electric power frequency modulation service and the electric power peak regulation service by the joint supply station. The electric power frequency modulation auxiliary service assessment fee is the product of frequency modulation deviation mileage, frequency modulation performance factor and frequency modulation mileage price. The electric power peak regulation auxiliary service assessment fee is the product of peak regulation deviation electric quantity and peak regulation electric quantity price.
The equipment maintenance and repair costs of the cogeneration station may include equipment part replacement costs, equipment repair costs. The replacement cost of the equipment parts is the sum of the replacement cost of the energy storage battery and the replacement cost of other parts, and the replacement of the battery in the energy storage equipment in the replacement cost of the equipment parts is related to the operation mode of the combined supply station.
The benefits of the energy storage hydrogen production and hydrogen charging combined supply station can comprise electric power auxiliary service benefits, hydrogen selling benefits and electric vehicle charging service benefits. Wherein the power-assisted service revenue comprises power frequency modulation-assisted service revenue and power peak shaving-assisted service revenue.
The electric power frequency modulation auxiliary service income is the product of frequency modulation mileage, frequency modulation performance factor and frequency modulation mileage price. The frequency modulation mileage is the sum of absolute values of power adjustment quantities provided by the combined station for receiving the electric power frequency modulation signals, and the power adjustment quantities are power change values of the combined station for accurately executing the frequency modulation scheduling instructions. The frequency modulation performance factor is the precision of the combined station in the process of executing the frequency modulation scheduling instruction, and is composed of indexes such as adjusting speed, delay time and adjusting deviation. The frequency modulation mileage price is a mileage clearing price in the power frequency modulation service market and can be obtained in the market.
The benefits of the power frequency modulation service in the power auxiliary service market rules include frequency modulation basic compensation and frequency modulation calling benefits. The frequency modulation basic compensation refers to compensation according to the frequency modulation performance, the frequency modulation capacity and the commissioning rate of the equipment; the frequency modulation calling compensation is to calculate the profit according to the effective frequency modulation mileage, the comprehensive adjustment performance and the mileage clearing price of the equipment.
The electric power peak shaving auxiliary service income is the product of peak shaving electric quantity and peak shaving electric quantity price. The peak shaving electric quantity is the sum of the small electric quantity and the large electric quantity in the process that the peak shaving dispatching instruction is accurately executed by the joint supply station. The low power consumption is the power supply tension period, and the power grid dispatching center issues a peak shaving power curve to the combined power station to reduce the power consumption compared with the normal operation; when the multi-purpose electric quantity is in the period of power supply excess, the power grid dispatching center issues a peak-shaving power curve to the combined power station to improve the power consumption compared with normal operation. The peak shaving electricity quantity price is the electricity quantity clearing price in the electricity peak shaving service market and can be obtained in the market.
The hydrogen selling income of the energy storage hydrogen production hydrogenation charging combined supply station is divided into the hydrogen service income of the hydrogen energy automobile in the station and the hydrogen selling income of the outsourced hydrogen. The hydrogen energy automobile hydrogenation service in the combined station has uncertainty and is influenced by factors such as the number of hydrogen energy automobiles in the area, the price of hydrogen and the like. Because the utilization rate can be improved in order to ensure the combined supply station, the phenomenon that the running of the water electrolysis hydrogen production equipment is influenced by insufficient hydrogen storage amount is avoided, the hydrogen production is required to be sold to the outside more than the excessive amount of hydrogen addition and hydrogen storage, namely the hydrogen is sold to industrial users in the area through a high-pressure hydrogen transport vehicle or a liquid hydrogen transport vehicle.
It should be noted that the cogeneration station in the power-assisted service market can provide power frequency modulation service and power peak shaving service. The power frequency modulation service is characterized by fast power adjustment and less power transfer in the process. The battery energy storage needs to be charged and discharged alternately frequently and rapidly in the power frequency modulation service process, and the battery energy storage is charged and discharged in the frequency modulation processMore closely, the charge of the battery energy storage device is slightly reduced due to energy losses during charging and discharging of the stored energy. The hydrogen production equipment needs to frequently and rapidly adjust the running power of the equipment during the power frequency modulation service process, namely, the operation power is in Ph-min～Ph-max]Within range in response to the power regulation requirements of the fm service. Wherein P ish-minIs the lowest safe operating power, P, of the hydrogen planth-maxIs the maximum overrun operating power of the hydrogen plant. P according to different types of water electrolysis hydrogen production equipmenth-min5% -30% of the rated capacity of the equipment; and P ish-maxIs 110-160% of the rated capacity of the equipment. P of alkaline water electrolysis hydrogen production equipmenth-minIs 15-30% of rated capacity of equipment, and P ish-maxAbout 120% of the rated capacity of the device; p of proton exchange membrane water electrolysis hydrogen production equipmenth-minIs 5-15% of rated capacity of equipment, and P ish-maxAbout 110% of the rated capacity of the device; p of high-temperature solid-state water electrolysis hydrogen production equipmenth-minAbout 30% of the rated capacity of the plant, its Ph-maxAbout 125% of the rated capacity of the device. The available state of charge range for energy storage of lithium batteries is 20-80%.
The power peak shaving service is characterized by more electric quantity transfer and relatively slow power regulation in the process. The power regulation range for different types of hydrogen plants is similar to that in frequency modulated mode. The available charge state range of the lithium battery energy storage in the peak regulation mode is 5-95%. The reason is that the power adjustment is relatively slow in the frequency modulation process, the electric quantity transfer is mainly realized, and the influence on the service life of the lithium battery is relatively small.
The energy storage hydrogen production and hydrogen charging combined supply station executes two peak-valley electricity price policies of industry in the electric power market, wherein the two policies are that electricity charges are divided into electricity charges and capacity electricity charges. The power rate and the power rate are calculated according to different time periods, and the capacity power rate is calculated by the capacity of the transformer or the monthly maximum power of the user.
A typical operation mode determining method of an energy storage hydrogen production and hydrogen charging combined station in the power market is to determine a basic operation model of energy storage and hydrogen production equipment according to a peak-valley electricity price system and adjust the operation range of the equipment according to the regulation and control requirement of power auxiliary service.
(1) Operation mode of the peak electricity price period cogeneration station:
the power grid electricity purchasing cost of the hydrogen charging combined supply station in the peak electricity price period is highest, the hydrogen production equipment is in a shutdown state under the condition of no power auxiliary service dispatching instruction, and the energy storage equipment is in a standby state. The power auxiliary service scheduling instruction is divided into a power frequency modulation service instruction and a power peak shaving service instruction. And under the condition of receiving the power frequency modulation auxiliary scheduling instruction, the hydrogen production equipment is in a shutdown state, and the energy storage equipment executes charging and discharging operations according to the scheduling instruction. And under the condition of receiving an electric power peak shaving auxiliary service scheduling instruction, the hydrogen production equipment is in a shutdown state, and the energy storage equipment executes charging or discharging operation.
(2) The operation mode of the flat electricity price time interval combined supply station is as follows:
the power grid electricity purchasing cost of the combined hydrogen and charge station in the flat electricity price period is moderate, and the hydrogen production equipment is in a low-load standby state and can improve the operation power of the hydrogen production equipment at any time according to the power auxiliary service dispatching instruction; the energy storage device is in a discharge state without a power auxiliary service scheduling instruction, and the discharge power of the energy storage device is equal to the low-load standby power of the hydrogen production device. Under the condition of receiving a power frequency modulation auxiliary service scheduling instruction, if the power frequency modulation auxiliary service scheduling instruction is an upward frequency modulation instruction, controlling the energy storage equipment to discharge; if the frequency modulation instruction is a downward frequency modulation instruction, the operating power of the hydrogen production equipment is preferentially improved, and then the energy storage equipment is controlled to charge. Under the condition of receiving an electric power peak regulation auxiliary service scheduling instruction, if the electric power peak regulation auxiliary service scheduling instruction is an electric power peak regulation instruction, controlling the energy storage equipment to discharge; and if the command is the power valley filling command, the operating power of the hydrogen production equipment is preferentially improved, and then the energy storage equipment is controlled to charge.
(3) The running mode of the combined station in the valley price period is as follows:
the power grid electricity purchasing cost of the combined hydrogen and charge station in the valley electricity price period is the lowest, and the hydrogen production equipment is in an operation mode and can adjust the operation power of the hydrogen production equipment at any time according to the power auxiliary service dispatching instruction; the energy storage equipment is charged under the condition of no power auxiliary service scheduling instructionElectric state with charging power Pes. After the hydrogen-charging combined supply station receives the power auxiliary service regulation and control instruction, the hydrogen production equipment is preferentially regulated and controlled to meet the regulation requirement, and then the energy storage equipment is regulated and controlled to perform charging or discharging operation.
Wherein E isesIndicating the rated charge storage of the energy storage device, TlIndicating the length of the valley power duration.
For step S220, it should be noted that the specific steps for performing the calculation are not limited, and may be set according to actual requirements. For example, in an alternative example, step S220 may include the step of calculating a total net profit from the total cost and the total profit. Therefore, on the basis of fig. 2, fig. 3 is a schematic flow chart of another data analysis method provided in the embodiment of the present application, and referring to fig. 3, step S220 may include:
step S221, inputting the cost parameter and the profit parameter into a preset model.
And step S222, calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on the preset model, and calculating the total income of the hydrogenation charging station to be processed according to the income parameters.
And step S223, calculating to obtain total net profit according to the total cost and the total income.
For step S222, it should be noted that the specific step of calculating the total cost is not limited, and may be set according to the actual application requirement. For example, in an alternative example, the cost parameters include a device purchase fee, a design construction fee, a land purchase or lease fee, an approval acceptance cost, an electricity fee cost, an operator cost, a device maintenance repair cost, and an accident insurance fee of the hydroprocessing charging station to be processed, and the step S222 may include the following sub-steps:
calculating the investment cost of the hydrogenation charging station to be treated according to equipment purchase cost, design construction cost, land purchase or lease cost and examination and approval acceptance cost; calculating the operation cost of the hydrogenation charging station to be processed according to the electric charge cost, the cost of operators, the equipment maintenance and repair cost and the accident insurance fee; and calculating the total cost according to the investment cost and the operation cost.
In detail, the full life cycle cost C of the combined hydrogen and charge stationtotalComprises the following steps:
Ctotal＝CIN+COP；
wherein, CtotalRepresents the full life cycle cost of the combined hydrogen and charge station, CINRepresents the investment cost of the cogeneration station, COPRepresenting the operating cost of the co-located station.
Investment cost C of combined hydrogen and charge stationINComprises the following steps:
CIN＝CEQ+CCN+CLA+COT；
wherein, CEQ、CCN、CLA、COTRespectively representing equipment purchase cost, design construction cost, land purchase or lease cost and examination and acceptance cost of the combined supply station.
Operation cost C of combined hydrogen and charge stationOPComprises the following steps:
wherein, CEL，I、COM，I、CMF，I、CAP，IAnd respectively representing the electricity charge cost, the operator cost, the equipment maintenance and repair cost and the accident insurance fee of the station in the I year.
CEL，I＝Cce，I+Cef，I+Casa，I；
Wherein, Cce，I、Cef，I、Casa，IRespectively representing the capacity electricity fee, the electric quantity electricity fee and the electric auxiliary service assessment fee of the station in the I year.
Wherein, the capacity electricity charge of the combined power station represents the integral value of the monthly maximum power multiplied by the capacity electricity price in one year, Pj，maxRepresents the maximum power value (kW), c of the combined supply station in month jcThe price per unit capacity (@/kW) is expressed.
The electricity quantity and the electricity fee of the combined station in i days are the integral value of the electricity quantity multiplied by the electricity price in t time period in one day, PtRepresents the power (kW), c of the combined supply station in the time period tptRepresents the electricity price (@/kWh) of the electric quantity in the time period t.
Wherein the auxiliary service assessment charge of the joint supply station in the j month represents the sum of the monthly power frequency modulation service assessment charge and the monthly power peak regulation assessment charge, PLj，frIndicating the deviation frequency-modulated mileage (kW/month) of the combined supply station in the month j, Ej，psRepresents the deviation peak shaving electric quantity (kWh/month) of the joint supply station in the month of j, kfrRepresents the frequency modulation comprehensive performance factor of the joint supply station in month j, cfr、cpsThe mileage price ([ gamma ]/kW) and the peak shaver price ([ gamma ]/kWh) are respectively expressed.
CMF，I＝Cesc，I+Cotc，I+Cmf，I；
Wherein, the maintenance and overhaul fee of the combined supply station represents the replacement fee of the energy storage battery, the replacement fee of other parts, the overhaul fee of the equipment, Cesc，IThe replacement cost (C) of the energy storage battery of the combined supply station in I year is shownotc，IRepresents the replacement cost (C) of other parts of the combined supply station in the year Imf，IIndicating the equipment overhaul cost (@ rah) of the cogeneration station in year I.
Energy storage cell loss d over its cycle lifeeseN of (A)eseThe battery is replaced in the year of the number of days of use, and the year of replacing the energy storage battery is the Nth year after the operation of the combined station or the replacement of the batteryeseAt the later dateThe year of the year.
Cesc，I＝Ees*ces；
Wherein E isesRepresenting the total rated charge (kWh), c) of the energy storage cells in the cogeneration stationesThe energy storage battery price (rmh/kWh) of the cogeneration station in year I is shown.
For step S222, it should be noted that the specific step of calculating the total profit is not limited, and may be set according to the actual application requirement. For example, in an alternative example, the profit parameter includes the power fm auxiliary service profit, the power peak shaver auxiliary service profit, the hydrogenation quality, the outbound hydrogen sale amount, the hydrogenation service price, the outbound hydrogen sale price, the charging service capacity and the charging service price of the hydrogenation charging station to be processed, and the step S222 may further include the following sub-steps:
calculating according to the electric power frequency modulation auxiliary service income and the electric power peak regulation auxiliary service income to obtain the electric power auxiliary service income of the hydrogenation charging station to be processed; calculating the hydrogen selling income of the hydrogenation charging station to be processed according to the hydrogenation quality, the quantity of the outsourced hydrogen sold, the hydrogenation service price and the price of the outsourced hydrogen sold; calculating the charging service income of the hydrogenation charging station to be processed according to the charging service electric quantity and the charging service price; and calculating to obtain total income according to the electric power auxiliary service income, the hydrogen selling income and the charging service income.
In detail, the total income I of the energy storage hydrogen production and hydrogenation charging combined supply stationtotalComprises the following steps:
Itotal＝IAS+IHS+IPS；
wherein, ItotalIndicates the total life cycle gain (this) of the combined hydrogen and charge stationAS、IHS、IPSAnd the electric power auxiliary service income, the hydrogen energy automobile hydrogen selling income and the electric automobile charging service income of the combined supply station are represented.
Electric power auxiliary service income I of combined supply stationASComprises the following steps:
IAS＝IFRS+IPSS；
wherein, IFRSRepresenting combined hydrogen and charge stationsElectric power frequency modulation auxiliary service revenue, IPSSRepresenting the power peak shaving auxiliary service gain of the cogeneration station.
IFRS＝Ifsb+Ifsr；
Wherein, IfsbIndicating the fundamental compensation gain for frequency modulation of the power frequency modulation auxiliary service of the combined hydrogen and charge station, IfsrIndicating the compensation gain for the fm call for the power peaking assist service of the co-generation station.
Ifsb＝min(kfs，2)*Pfsb*Lfs*cfp；
Wherein k isfsIndicates the frequency modulation comprehensive performance index, P, of the electric power frequency modulation auxiliary service of the hydrogenation charging combined supply stationfsbIndicating the frequency modulated Capacity (kW), L of the Power frequency modulated auxiliary service of the Cogeneration stationfsRepresenting the commissioning rate (%) of the combined station in the frequency modulation process, cfpIndicating the frequency modulation basic compensation price (@/kW).
Ifsr＝Dfsr*kfs*cfl；
Wherein D isfsrIndicating the frequency modulation mileage (kW), c) of the power fm auxiliary service of the cogeneration stationflIndicating the frequency modulated mileage compensated price (@/kW).
Wherein, Vj、V0Respectively representing the j-th frequency modulation rate of the combined station and the standard regulation rate (kW/s), A of the equipmentj、A0Respectively showing the j-th adjustment precision of the combined supply station and the standard adjustment precision of the equipment of the type DjAnd the forward frequency modulation mileage in the jth frequency modulation process of the combined supply station is represented, and the forward frequency modulation mileage refers to the adjustment power value of the equipment for accurately tracking the scheduling signal.
IPSS＝∑(Epss*cpss)；
Wherein E ispssIndicating the peak shaving power (kWh), c of the co-generation stationpssThe peak shaving compensation price (/ kWh) of the cogeneration station is indicated.
Hydrogen energy automobile hydrogen selling income I of combined supply stationHSComprises the following steps:
IHS＝Mhsy*ch2s+Mhty*ch2t；
wherein, IHSRepresenting the hydrogen energy automobile hydrogenation service income of the combined hydrogen and charge station, Mhsy、MhtyRespectively representing the annual hydrogen quality (kg) and the annual outsourced hydrogen sale (kg) of the combined supply station, ch2s、ch2tThe quality price of the hydrogenation service of the combined station (this/kg) and the quality price of the hydrogen sold by the outside (this/kg) are respectively shown.
The limitation condition of the hydrogenation amount of the combined station is that the annual hydrogenation quality is less than or equal to the sum of the annual hydrogen production amount and the in-station hydrogen storage quality, and the daily average hydrogenation hydrogen production quality is less than or equal to the sum of the daily hydrogen production amount and the in-station energy storage quality.
Mhyp≤Mhsy+Mhty≤Mhyp+Mhs；
Mhdp≤Mhsd+Mhtd≤Mhdp+Mhs；
Wherein M ishyp、Mhs、Mhsy、Mhty、Mhsd、Mhtd、MhdpThe hydrogen production quality (kg) of the combined hydrogen and charge station, the hydrogen storage quality (kg) in the station, the hydrogen hydrogenation quality (kg) in the year, the hydrogen sales amount (kg) in the day and the hydrogen production quality (kg) in the day are respectively shown.
Wherein eta isp2hThe conversion efficiency (kg/kWh) of the water electrolysis hydrogen production equipment of the combined hydrogen charging station is respectively, the daily water electrolysis hydrogen production amount is related to the operation mode of the combined hydrogen charging station, and the operation power P of the water electrolysis hydrogen production equipment considering the electric power auxiliary servicep2hThe daily hydrogen production is determined.
Electric automobile charging service income I of joint supply stationPSComprises the following steps:
IPS＝Ecs*ccs；
wherein E iscsRepresenting the charging service electric quantity (kWh), c) of the electric automobile of the combined hydrogen charging stationcsAnd the price ([ gamma ]/kWh) of the electric vehicle charging service of the combined supply station is shown.
For step S223, it should be noted that the total net investment profit is calculated by:
Ptotal＝Itotal-Ctotal；
wherein, PtotalRepresenting the total net profit for the cogeneration station.
Further, after step S220, the data analysis method provided in the embodiment of the present application may further include a step of calculating a static return on investment period, that is, the data analysis method may further include the following sub-steps:
obtaining depreciation parameters and annual net profits of the hydrogenation charging station to be treated;
and inputting the cost parameter, the depreciation parameter and the annual net profit into a preset model for calculation to obtain the static return period of the investment of the hydrogenation charging station to be processed.
It should be noted that, the specific steps for calculating the static return period of investment are not limited, and may be set according to actual application requirements. For example, in an alternative example, the static return on investment period may be calculated based on the total cost, the average depreciation of equipment, and the net annual profit, that is, the step of calculating the static return on investment period may include the sub-steps of:
bringing the cost parameter, depreciation parameter and annual net profit into an input preset model; calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on a preset model, and calculating the average equipment depreciation of the hydrogenation charging station to be processed according to depreciation parameters; and calculating to obtain the static return period of the investment according to the total cost, the average depreciation of equipment and the net annual profit.
The specific steps of the average depreciation of the computing equipment are not limited and can be set according to the actual application requirements. For example, in an alternative example, the depreciation parameters include depreciation of energy storage devices, depreciation of hydrogen production devices, and depreciation of other devices of the hydroprocessing charging station to be processed, and the step of calculating an average depreciation of devices of the hydroprocessing charging station to be processed based on the depreciation parameters includes:
and calculating the average depreciation of the equipment according to depreciation of the energy storage equipment, the hydrogen production equipment and other equipment.
In detail, the calculation method of the static return period of investment comprises the following steps:
wherein, Tpp、Ia、DaRespectively representing the static return period of investment, net annual profit and average depreciation of annual equipment of the combined hydrogen and charge station, IaThe annual net profit can be calculated using a cost-benefit model.
Da＝∑(Desi+Dhpi+Doti)/N；
Wherein D isesi、Dhpi、DotiRespectively shows the depreciation of the energy storage equipment, the depreciation of the hydrogen production equipment and the depreciation of other equipment of the combined supply station in the ith year.
It should be noted that the energy storage and hydrogen production equipment is in a variable power dynamic operation state in a plurality of service modes of the hydrogen adding and charging combined supply station for providing power auxiliary service, hydrogen adding service and charging service. Different operating states have different degrees of influence on the service lives of the energy storage equipment and the hydrogen production equipment, so that the key between the establishment of the operation mode of the cogeneration station and the operation cost and operation benefit of the equipment is the key for accurately evaluating the economy of the cogeneration station.
The operation cost of the energy storage and hydrogen production equipment comprises electricity charge expenditure, equipment depreciation cost, equipment replacement cost and equipment operation and maintenance cost; the operation income comprises electric power frequency modulation service income, electric power peak regulation service income, hydrogen selling income and electric vehicle charging service income. The performance degradation of energy storage and hydrogen production plants has a significant impact on the plant operating costs and operating profitability, which needs to be accurately assessed according to the operating mode of the cogeneration plant.
The performance degradation of lithium battery energy storage devices is reflected in a gradual reduction of the maximum dischargeable capacity during operation. In the automobile industry, the rejection threshold of the power system is determined by attenuating the maximum available electric quantity of the battery power system to the threshold of 80% of the rated electric quantity, so that the service life of the power battery system is the number of cycles corresponding to the attenuation of the maximum electric quantity of the system to 80%. The attenuation threshold value of the maximum available electric quantity of the battery energy storage in the energy storage industry is 60%, and the corresponding cycle number is the service life of the energy storage equipment.
The performance attenuation speed of the energy storage equipment under different operating conditions is different. Under the premise of the same conditions of ambient temperature and the like, the performance of the energy storage device is attenuated quickly in a high-power charging and discharging mode, and the performance of the energy storage device is attenuated slowly in a low-power charging and discharging mode.
des＝∑DOD(2*Ees*nt，DOD*(DODt，es)k)+desca；
Wherein, DODt，esRepresenting the amount of change in the state of charge (average of the amount of charge/rated charge and the amount of discharge/rated charge) of the energy storage device during the Δ t period, PesdAnd PescRespectively representing the discharge power and the charge power stored during a time period Δ t, nt，DODIndicating DOD of the energy storage device in a laboratory environment over a time period of Δ tt，esNumber of charge-discharge cycles tested in the range desRepresenting the decay cycle life of the energy storage device over a time period at (the number of cycles of the energy storage battery that the energy storage device has decreased over that time period), descaRepresenting the number of cycles of the energy storage battery of the energy storage device before the DOD (state of charge) process, and k representing the coefficient of influence of different DODs on the cycle life of the energy storage device.
The relation between the running state of the energy storage device and the loss service life of the energy storage device can be established by using the formula, and the device loss of the energy storage device in the power frequency modulation service and the power peak shaving service process can be evaluated in a preparation manner.
The equipment depreciation calculation method of the combined hydrogen charging station under the dynamic working condition is as follows:
the typical operation mode of the energy storage hydrogen production combined supply station is brought into the formula for calculating the equipment cycle life loss under the dynamic working conditionesAccumulating the cycle life loss d when the capacity of the energy storage device is lost to 60% of the rated capacityeseDetermining the cycle life of the energy storage for the cogeneration station. The power adjustment mileage of the power frequency modulation service and the electric quantity transfer quantity of the power peak modulation service are obtained through statistical analysis according to historical operation data of energy storage power stations providing power auxiliary services in the power market. Loss of service life from running to circulation of hydrogen production and hydrogenation combined supply stationeseNumber of running days NeseThe cycle time for battery replacement in the energy storage device is long.
Desi＝(desi-desi-1)*Cesi；
Wherein D isesiIndicating depreciation of the energy storage device in year i, desi、desi-1Respectively representing the cycle life decay rate of the energy storage equipment in the ith year, CesiAnd (4) the investment cost of the energy storage equipment in the equipment replacement period of the ith year.
Performance decay model for hydrogen plant: the performance of the water electrolysis hydrogen production equipment is slowly attenuated, and the service life of the equipment is 15 years. Therefore, the depreciation of the water electrolysis hydrogen production equipment is calculated by adopting a linear depreciation method:
Dhpi＝CPH/15；
wherein D ishpiRepresenting depreciation of the i-th year of the apparatus for producing Hydrogen by electrolyzing Water CPHRepresenting the initial investment of the water electrolysis hydrogen production equipment.
Performance decay model of other devices: the performance of other equipment is slowly attenuated, and the service life of the equipment is NotAnd (5) year. The depreciation of the device is therefore calculated using a linear depreciation method:
Doti＝COT/15；
wherein D isotiRepresenting depreciation of the i-th year of the apparatus for producing Hydrogen by electrolyzing Water COTRepresenting the initial investment in other equipment.
Further, the data analysis method provided by the embodiment of the application can also calculate the internal investment yield based on the preset model. In detail, the net profit per year is calculated according to the model of the above-mentioned hydro-charging cogeneration station, and then an internal return on investment (NPV) is calculated using an internal return on investment company to evaluate the economy of the project using the project return on investment.
That is, the data of the power-assisted service price, the two peak-to-valley electricity prices, the charging service price, the hydrogen selling price and the like can be substituted into the economic analysis model of the charging and hydrogenation combined station, and the investment profitability of the charging and hydrogenation combined station in various service modes can be analyzed.
Through the method, the embodiment of the invention provides an economic analysis method of an energy storage hydrogen production and hydrogenation charging combined station, which is characterized in that an energy storage hydrogen production system provides a cost and benefit analysis method of electric power auxiliary service, charging service and water electrolysis hydrogen production and hydrogenation service under a peak-valley electricity price system, and relates to equipment service life evaluation, regulation performance calculation of the electric power auxiliary service and the like under dynamic working conditions. According to the method, a cost benefit model of the whole life cycle is established in the electric power trading market according to the attenuation model of the energy storage and hydrogen production equipment, and the comprehensive benefits of various services can be accurately evaluated. The method can solve the problems that the energy storage equipment has large performance attenuation difference under the dynamic working condition and is difficult to accurately evaluate, can evaluate the hydrogen production cost of the electrolyzed water and the auxiliary service income of the electric power under the flexible production mode in the auxiliary service market of the electric power, and can be used for guiding the investment development decision of the combined hydrogen charging station.
With reference to fig. 4, an embodiment of the present application further provides a data analysis apparatus 400, where the functions implemented by the data analysis apparatus 400 correspond to the steps executed by the foregoing method. The data analysis device 400 may be understood as a processor of the electronic device 100, or may be understood as a component that is independent of the electronic device 100 or a processor and that implements the functions of the present application under the control of the electronic device 100. The data analysis apparatus 400 may include a parameter acquisition module 410 and a parameter calculation module 420.
A parameter obtaining module 410, configured to obtain a cost parameter and a profit parameter of the hydroprocessing charging station to be processed. In the embodiment of the present application, the parameter obtaining module 410 may be configured to perform step S210 shown in fig. 2, and for relevant contents of the parameter obtaining module 410, reference may be made to the foregoing description of step S210.
And the parameter calculation module 420 is configured to input the cost parameter and the profit parameter into a preset model for calculation, so as to obtain a total net profit of the to-be-processed hydrogenation charging station. In the embodiment of the present application, the parameter calculation module 420 may be configured to perform step S220 shown in fig. 2, and reference may be made to the foregoing description of step S220 regarding the relevant content of the parameter calculation module 420.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the data analysis method.
The computer program product of the data analysis method provided in the embodiment of the present application includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute steps of the data analysis method in the above method embodiment, which may be referred to specifically in the above method embodiment, and details are not described here again.
In summary, the data analysis method and apparatus, the electronic device, and the storage medium provided in the embodiments of the present application calculate the total net profit by inputting the cost parameter and the profit parameter of the to-be-processed hydrogenation charging station into the preset model, so as to realize automatic profit calculation, and avoid the problems of the prior art that the number of time-varying parameters is large, the economic precision calculation difficulty is large, and the efficiency of data analysis is low due to the manual evaluation of the profits of the energy storage and hydrogen production devices.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method of data analysis, comprising:
obtaining cost parameters and income parameters of a hydrogenation charging station to be treated;
and inputting the cost parameter and the profit parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed.
2. The method of claim 1, wherein the step of calculating the total net profit for the hydroprocessing charging station to be processed by inputting the cost parameter and the profit parameter into a predetermined model comprises:
inputting the cost parameter and the income parameter into a preset model;
calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on the preset model, and calculating the total income of the hydrogenation charging station to be processed according to the income parameters;
and calculating to obtain total net profit according to the total cost and the total profit.
3. The data analysis method as claimed in claim 2, wherein the cost parameters include equipment purchase cost, design construction cost, land purchase or lease cost, examination and approval acceptance cost, electricity cost, operator cost, equipment maintenance and repair cost and accident insurance cost of the hydroprocessing charging station to be processed, and the step of calculating the total cost of the hydroprocessing charging station to be processed according to the cost parameters comprises:
calculating to obtain the investment cost of the hydrogenation charging station to be processed according to the equipment purchase cost, the design construction cost, the land purchase or lease cost and the examination and approval acceptance cost;
calculating the operation cost of the hydrogenation charging station to be processed according to the electric charge cost, the cost of operators, the equipment maintenance and repair cost and the accident insurance fee;
and calculating the total cost according to the investment cost and the operation cost.
4. The data analysis method as claimed in claim 2, wherein the profit parameters include power fm auxiliary service profit, power peak shaving auxiliary service profit, hydrogenation quality, outbound hydrogen sale amount, hydrogenation service price, outbound hydrogen sale price, charging service electricity amount and charging service price of the charging station to be processed, and the step of calculating the total profit of the charging station to be processed according to the profit parameters includes:
calculating according to the electric power frequency modulation auxiliary service income and the electric power peak regulation auxiliary service income to obtain the electric power auxiliary service income of the hydrogenation charging station to be processed;
calculating the hydrogen selling income of the hydrogenation charging station to be processed according to the hydrogenation quality, the quantity of the outsourced hydrogen for selling, the hydrogenation service price and the price of the outsourced hydrogen for selling;
calculating to obtain the charging service income of the hydrogenation charging station to be processed according to the charging service electric quantity and the charging service price;
and calculating to obtain total income according to the electric power auxiliary service income, the hydrogen selling income and the charging service income.
5. The data analysis method of claim 1, further comprising:
obtaining depreciation parameters and annual net profits of the hydrogenation charging station to be treated;
and inputting the cost parameter, the depreciation parameter and the annual net profit into a preset model for calculation to obtain the static return period of the investment of the hydrogenation charging station to be processed.
6. The data analysis method of claim 5, wherein the step of calculating the cost parameter, depreciation parameter and net annual profit into a predetermined model to obtain the static return on investment period of the hydroprocessing charging station to be processed comprises:
bringing the cost parameter, depreciation parameter and annual net profit into the preset model;
calculating the total cost of the hydrogenation charging station to be processed according to the cost parameters based on the preset model, and calculating the average equipment depreciation of the hydrogenation charging station to be processed according to the depreciation parameters;
and calculating to obtain a static return period of the investment according to the total cost, the average depreciation of the equipment and the net annual profit.
7. The data analysis method of claim 6, wherein the depreciation parameters include depreciation of energy storage devices, depreciation of hydrogen production devices, and depreciation of other devices of the hydroprocessing charging station to be processed, and the step of calculating the average depreciation of devices of the hydroprocessing charging station to be processed based on the depreciation parameters comprises:
and calculating the average depreciation of the equipment according to the depreciation of the energy storage equipment, the depreciation of the hydrogen production equipment and the depreciation of other equipment.
8. A data analysis apparatus, comprising:
the parameter acquisition module is used for acquiring the cost parameter and the profit parameter of the hydrogenation charging station to be processed;
and the parameter calculation module is used for inputting the cost parameter and the income parameter into a preset model for calculation to obtain the total net profit of the hydrogenation charging station to be processed.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the data analysis method of any one of claims 1 to 7 when executing the program.
10. A storage medium, characterized in that the storage medium comprises a computer program, and the computer program controls an electronic device in which the storage medium is located to execute the data analysis method according to any one of claims 1 to 7 when running.
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| CN113592325A (en) * | 2021-08-05 | 2021-11-02 | 清华四川能源互联网研究院 | On-site hydrogen production hydrogenation station system and electric quantity distribution method thereof |
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| CN113592325A (en) * | 2021-08-05 | 2021-11-02 | 清华四川能源互联网研究院 | On-site hydrogen production hydrogenation station system and electric quantity distribution method thereof |
| CN113592325B (en) * | 2021-08-05 | 2023-11-28 | 清华四川能源互联网研究院 | In-situ hydrogen production and hydrogen station system and electric quantity distribution method thereof |
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