New energy cloud platform operation mode evaluation model generation method and device

Abstract

The present invention discloses a method and device for generating an evaluation model for an operation mode of a new energy cloud platform, the method comprising: designing an operation mode of a new energy cloud platform service product according to the business canvas theory, and determining the operation mode of the new energy cloud platform; obtaining the market potential and scale of the new energy cloud platform service product based on the operation mode of the new energy cloud platform; calculating the input and output of the operation mode of the new energy cloud platform according to the market potential and scale of the new energy cloud platform service product, and obtaining input-output data; establishing an evaluation model for the operation mode of the new energy cloud platform according to the operation mode of the new energy cloud platform and the input-output data. The present invention provides a quantitative evaluation of the economic benefits of different operation modes of new energy, and provides a demonstration basis for the economic benefit evaluation of the operation mode of the new energy cloud platform.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and device for generating an evaluation model for an operation mode of a new energy cloud platform. Background Art

[0002] Traditional business operation model evaluation is inherently complex and to some extent depends on other fields such as changing methodology. In past studies, scholars have tried to introduce multidisciplinary theoretical results such as management and economics into business model evaluation. Overall, the selection of evaluation theories is relatively scattered, and no theory is recognized as suitable for business model evaluation.

[0003] The evaluation systems constructed based on different evaluation theories are quite different. The choice of evaluation theory is related to scholars' understanding of the definition of business operation model. Based on the fact that the emergence of major research results from various perspectives follows a certain time sequence, the current evaluation results of business operation models at home and abroad can be divided into four stages from the research depth and time dimensions: operation effect evaluation stage, organizational capability evaluation stage, value evaluation stage, and comprehensive evaluation stage. The four stages do not strictly follow the order in the figure in time, but intersect with each other and even appear at the same time. The operation effect evaluation stage focuses on the examination of the business model operation level and is the basis for the demonstration of the business operation model. The organizational capability evaluation stage, the value evaluation stage, and the comprehensive evaluation stage require multi-dimensional data based on the operation and development of the business operation model, which are suitable for the post-evaluation research of the business model. At present, there is no complete set of methods from the construction of the operation model to the benefit evaluation. Summary of the invention

[0004] The purpose of the present invention is to provide a method and device for generating an evaluation model for an operation mode of a new energy cloud platform, aiming to solve the above-mentioned problems in the prior art.

[0005] The present invention provides a method for generating an evaluation model for an operation mode of a new energy cloud platform, comprising:

[0006] Design the operation mode of the new energy cloud platform service products according to the business canvas theory and determine the operation mode of the new energy cloud platform;

[0007] Obtain the market potential and scale of new energy cloud platform service products based on the new energy cloud platform operation model;

[0008] Calculate the input and output of the new energy cloud platform operation model based on the market potential and scale of the new energy cloud platform service products, and obtain input-output data;

[0009] According to the new energy cloud platform operation mode and the input-output data, a new energy cloud platform operation mode evaluation model is established.

[0010] The present invention provides a new energy cloud platform operation mode evaluation model generation device, comprising:

[0011] The operation mode determination module designs the operation mode of the new energy cloud platform service products according to the business canvas theory and determines the operation mode of the new energy cloud platform;

[0012] The prediction module obtains the market potential and scale of new energy cloud platform service products based on the new energy cloud platform operation mode;

[0013] The input-output module calculates the input and output of the new energy cloud platform operation mode according to the market potential and scale of the new energy cloud platform service products, and obtains the input-output data;

[0014] The evaluation module establishes an evaluation model for the operation mode of the new energy cloud platform based on the operation mode and input-output data of the new energy cloud platform.

[0015] An embodiment of the present invention also provides a new energy cloud platform operation mode evaluation model generation device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program implements the steps of the above-mentioned new energy cloud platform operation mode evaluation model generation method when executed by the processor.

[0016] An embodiment of the present invention also provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the above-mentioned method for generating an evaluation model for an operation mode of a new energy cloud platform are implemented.

[0017] By adopting the embodiment of the present invention, a new energy cloud platform operation mode evaluation model is established to quantify the system energy operation mode, thereby providing a demonstration basis for the new energy cloud platform operation mode and economic benefit evaluation.

[0018] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1is a flow chart of a method for generating an evaluation model for an operation mode of a new energy cloud platform according to an embodiment of the present invention;

[0021] Figure 2 is a schematic diagram of a new energy cloud platform operation mode evaluation model generation device according to an embodiment of the present invention;

[0022] Figure 3 It is a schematic diagram of a second embodiment of the device of the embodiment of the present invention. DETAILED DESCRIPTION

[0023] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0025] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] Method Embodiment

[0027] According to an embodiment of the present invention, a method for generating an evaluation model for an operation mode of a new energy cloud platform is provided. Figure 1 is a flow chart of a method for generating an evaluation model for an operation mode of a new energy cloud platform according to an embodiment of the present invention. Figure 1As shown, the method for generating an evaluation model for an operation mode of a new energy cloud platform according to an embodiment of the present invention specifically includes:

[0028] Step S101, designing the operation mode of the new energy cloud platform service product according to the business canvas theory, and determining the operation mode of the new energy cloud platform. Step S101 specifically includes:

[0029] Determine the revenue source of the new energy cloud platform operation model;

[0030] Determine the cost structure by calculating the infrastructure cost of the new energy cloud platform operation mode;

[0031] Quantify profit based on the stated cost structure.

[0032] Determine the operating model of new energy cloud platform service products, use the business model canvas theory to conduct research on the operating model of new energy cloud platform service products, clarify the composition and role relationships of various stakeholders under the typical new energy cloud platform operating model, and determine the ways in which various stakeholders participate in the new energy cloud operating model, business coverage and specific operation process.

[0033] For example, the State Grid New Energy Cloud Company launched the "Beautiful Countryside Photovoltaic Project" Guangbaobao product, which promoted the construction of rural household photovoltaic power generation systems through green finance, created a people-friendly service project, and provided "sunshine income" to the people, creating a typical case of rural revitalization. The Guangbaobao business product realizes one-stop services from preliminary survey, design, grid connection application, equipment supply, installation, grid connection, electricity fee transfer, operation and maintenance, etc., to create a new model of household photovoltaic with low cost, high return and long benefit. The people only need to provide the roof (or down payment), and the construction cost of the photovoltaic power station is provided by the financial institution. The power generation of the power station is connected to the grid in full amount. The monthly electricity sales income is fixed to pay for financing repayment, operation and maintenance fees, insurance premiums, etc., and the remaining amount forms a fixed income. The new energy cloud Guangbaobao service product has four major characteristics: First, the State Grid brand. The "Beautiful Countryside Photovoltaic Project" launched by the State Grid New Energy Cloud Company to implement the national rural revitalization and clean energy development strategy. Second, online processing. The whole process has 9 major process nodes, providing users with full online operation of the New Energy Cloud APP, and the operation process is simple. Third, ultra-low down payment. Users only need to pay a 10% down payment and do not need to provide a guarantee to install a household photovoltaic system. Fourth, full-process trusteeship. Provide one-stop service to create a new household photovoltaic model with low cost, high return and long-term benefits.

[0034] Step S102, based on the operation mode of the new energy cloud platform, obtain the market potential and scale of the new energy cloud platform service products. Step S102 specifically includes:

[0035] Obtain data on the developed scale and development potential of energy resources;

[0036] By analyzing energy resource development planning indicators and policy indicators, and combining resource constraints and planning policies, the scale of energy resource project development is determined.

[0037] For example, according to statistics, there are 807 million rural population in China, about 210 million farmers, and at least 60 million households are suitable for installing household photovoltaic products. By the end of 2020, the number of household photovoltaic installations in China was about 2.5 million, and the promotion ratio was less than 5%. As the price of photovoltaic equipment decreases year by year, household photovoltaic systems have the conditions for large-scale promotion, and the market potential is huge. Table 1 shows the market capacity estimation of Guangbaobao products in 2021.

[0038] Table 1. Estimation of the market capacity of Guangbaobao products in 2021

[0039]

[0040] Step S103, calculating the input and output of the new energy cloud platform operation mode according to the market potential and scale of the new energy cloud platform service product, and obtaining input and output data, step S103 specifically includes:

[0041] Obtaining revenue data of the new energy cloud platform operation mode, the revenue data including: platform service fees and value-added service fees;

[0042] Obtain cost data of the operation mode of the new energy cloud platform, wherein the cost data includes: platform construction fee and operation and maintenance fee.

[0043] For example: the cost of new energy cloud platform service products mainly includes new energy cloud platform construction, platform operation and maintenance costs, household photovoltaic monitoring and operation and maintenance costs, etc. Among them, platform construction fee: the construction cost invested by the platform operator to develop and design the new energy cloud platform, and the Guangbaobao service platform construction cost is about 7 million yuan. Platform operation and maintenance fee: the platform operator regularly checks the platform usage and platform vulnerabilities, and the cost of upgrading and maintaining the platform based on user feedback. The Guangbaobao service platform operation and maintenance cost is about 300,000 yuan per year. Photovoltaic monitoring and operation and maintenance fee: it is necessary to build household photovoltaic monitoring and operation and maintenance equipment to provide users with monitoring and operation and maintenance services. The Guangbaobao photovoltaic monitoring and operation and maintenance cost is about 50 million yuan per year, increasing by 5% each year. Guangbaobao's income mainly includes photovoltaic monitoring and operation and maintenance service fee income, insurance premium income, etc. Among them, the photovoltaic monitoring and operation and maintenance service fee is about 5 yuan / kW per year; the insurance premium is about 1.5 yuan / kW. Insurance cost: the cost of the new energy cloud platform providing full-process construction insurance services for household photovoltaics.

[0044] Step S104, establishing a new energy cloud platform operation mode evaluation model according to the new energy cloud platform operation mode and the input-output data, step S104 specifically includes:

[0045] The payback period is calculated by formula 1. If the payback period is less than a specific year, the net present value is calculated by formula 2. If the net present value is greater than a specific value, the internal rate of return is calculated by formula 3. If the internal rate of return is greater than a specific benchmark discount rate, the new energy cloud platform operation mode is economically acceptable, otherwise it is economically unacceptable.

[0046]

[0047] Among them, T p is the investment payback period, K is the total investment, B t is the income in year t, C t is the expenditure in year t, NBt is the net income in year t, if T p ≤T b , then the project can be considered for acceptance; if T p >T b , then the project should be rejected, where T b is the base payback period;

[0048]

[0049] Among them, NPV is the net present value, CI is t is the cash inflow in year t, CO t is the cash outflow in year t, K t is the investment expenditure in year t, CO t ' is the unexpected cash outflow of investment expenditure at the beginning of year t, that is, CO t '=CO t -K t , n is the project life, i0 is the base discount rate;

[0050]

[0051] Among them, IRR is the internal rate of return.

[0052] The payback period refers to the time required for the project's net income to offset the entire investment (fixed asset investment, working capital). It is the main static indicator for examining the project's financial investment recovery ability. Generally, it is the period required to recover the entire investment using the project's net income in each year from the date of project construction. The payback period is expressed in years.

[0053] The net present value indicator is one of the most important indicators for dynamic evaluation of investment projects. It is a dynamic evaluation indicator that reflects the profitability of a technical solution throughout its entire life cycle (including the construction period and the operation period). It refers to the sum of the present values ​​of the net cash flows of each year during the project calculation period discounted to the initial construction period according to the set benchmark rate of return or discount rate.

[0054] Internal rate of return is usually considered as the profitability of project investment, which reflects the efficiency of investment. Among all economic evaluation indicators, internal rate of return is one of the most important evaluation indicators. Simply put, internal rate of return is the discount rate when the net present value is zero. Specifically, the economic meaning of internal rate of return means that during the entire life of the project, calculated according to the interest rate (i = IRR), there will always be unrecovered investment, and at the end of the life, the investment will be fully recovered. In other words, during the life of the project, the project is always in a state of "paying" the unrecovered investment, and the project's "payment" ability depends entirely on the project, hence the name of internal rate of return.

[0055] For example: Based on the above basic data and economic benefit evaluation model, with a 20-year life cycle, the dynamic investment payback period of Guangbaobao is 9 years, the net present value is 45 million yuan, and the internal rate of return is 10.2%. The new energy cloud Guangbaobao operation mode has good economic benefits.

[0056] Device Example 1

[0057] According to an embodiment of the present invention, a new energy cloud platform operation mode evaluation model generation device is provided. Figure 2 Schematic diagram of a new energy cloud platform operation mode evaluation model generation device according to an embodiment of the present invention. Figure 2 As shown, the new energy cloud platform operation mode evaluation model generation device according to an embodiment of the present invention specifically includes:

[0058] The operation mode determination module 20 designs the operation mode of the new energy cloud platform service product according to the business canvas theory and determines the operation mode of the new energy cloud platform. The operation mode determination module 20 is specifically used for:

[0059] Determine the revenue source of the new energy cloud platform operation model;

[0060] Determine the cost structure by calculating the infrastructure cost of the new energy cloud platform operation mode;

[0061] quantify profits based on the stated cost structure;

[0062] Determine the operating model of new energy cloud platform service products, use the business model canvas theory to conduct research on the operating model of new energy cloud platform service products, clarify the composition and role relationships of various stakeholders under the typical new energy cloud platform operating model, and determine the ways in which various stakeholders participate in the new energy cloud operating model, business coverage and specific operation process.

[0063] For example, the State Grid New Energy Cloud Company launched the "Beautiful Countryside Photovoltaic Project" Guangbaobao product, which promoted the construction of rural household photovoltaic power generation systems through green finance, created a people-friendly service project, and provided "sunshine income" to the people, creating a typical case of rural revitalization. The Guangbaobao business product realizes one-stop services from preliminary survey, design, grid connection application, equipment supply, installation, grid connection, electricity fee transfer, operation and maintenance, etc., to create a new model of household photovoltaic with low cost, high return and long benefit. The people only need to provide the roof (or down payment), and the construction cost of the photovoltaic power station is provided by the financial institution. The power generation of the power station is connected to the grid in full amount. The monthly electricity sales income is fixed to pay for financing repayment, operation and maintenance fees, insurance premiums, etc., and the remaining amount forms a fixed income. The new energy cloud Guangbaobao service product has four major characteristics: First, the State Grid brand. The "Beautiful Countryside Photovoltaic Project" launched by the State Grid New Energy Cloud Company to implement the national rural revitalization and clean energy development strategy. Second, online processing. The whole process has 9 major process nodes, providing users with full online operation of the New Energy Cloud APP, and the operation process is simple. Third, ultra-low down payment. Users only need to pay a 10% down payment and do not need to provide a guarantee to install a household photovoltaic system. Fourth, full-process trusteeship. Provide one-stop service to create a new household photovoltaic model with low cost, high return and long-term benefits.

[0064] The prediction module 22 obtains the market potential and scale of the new energy cloud platform service products based on the new energy cloud platform operation mode. The prediction module 22 is specifically used for:

[0065] Obtain data on the developed scale and development potential of energy resources;

[0066] Determine the scale of energy resource project development by analyzing energy resource development planning indicators and policy indicators, combined with resource constraints and planning policies;

[0067] For example, according to statistics, there are 807 million rural population in China, about 210 million farmers, and at least 60 million households are suitable for installing household photovoltaic products. By the end of 2020, the number of household photovoltaic installations in China was about 2.5 million, and the promotion ratio was less than 5%. As the price of photovoltaic equipment decreases year by year, household photovoltaic systems have the conditions for large-scale promotion, and the market potential is huge. Table 1 shows the market capacity estimation of Guangbaobao products in 2021.

[0068] Table 1. Estimation of the market capacity of Guangbaobao products in 2021

[0069]

[0070] The input-output module 24 calculates the input and output of the operation mode of the new energy cloud platform according to the market potential and scale of the service products of the new energy cloud platform, and obtains input-output data. The input-output module is specifically used for:

[0071] Obtaining revenue data of the new energy cloud platform operation mode, the revenue data including: platform service fees and value-added service fees;

[0072] Obtaining cost data of the operation mode of the new energy cloud platform, wherein the cost data includes: platform construction fee and operation and maintenance fee;

[0073] For example: the cost of new energy cloud platform service products mainly includes new energy cloud platform construction, platform operation and maintenance costs, household photovoltaic monitoring and operation and maintenance costs, etc. Among them, platform construction fee: the construction cost invested by the platform operator to develop and design the new energy cloud platform, and the Guangbaobao service platform construction cost is about 7 million yuan. Platform operation and maintenance fee: the platform operator regularly checks the platform usage and platform vulnerabilities, and the cost of upgrading and maintaining the platform based on user feedback. The Guangbaobao service platform operation and maintenance cost is about 300,000 yuan per year. Photovoltaic monitoring and operation and maintenance fee: it is necessary to build household photovoltaic monitoring and operation and maintenance equipment to provide users with monitoring and operation and maintenance services. The Guangbaobao photovoltaic monitoring and operation and maintenance cost is about 50 million yuan per year, increasing by 5% each year. Guangbaobao's income mainly includes photovoltaic monitoring and operation and maintenance service fee income, insurance premium income, etc. Among them, the photovoltaic monitoring and operation and maintenance service fee is about 5 yuan / kW per year; the insurance premium is about 1.5 yuan / kW. Insurance cost: the cost of the new energy cloud platform providing full-process construction insurance services for household photovoltaics.

[0074] The evaluation module 26 establishes an evaluation model for the operation mode of the new energy cloud platform according to the operation mode of the new energy cloud platform and the input-output data. The evaluation module is specifically used for:

[0075] The payback period is calculated by formula 1. If the payback period is less than a specific year, the net present value is calculated by formula 2. If the net present value is greater than a specific value, the internal rate of return is calculated by formula 3. If the internal rate of return is greater than a specific benchmark discount rate, the new energy cloud platform operation mode is economically acceptable, otherwise it is economically unacceptable.

[0076]

[0077] Among them, T p is the investment payback period, K is the total investment, B t is the income in year t, C t is the expenditure in year t, NBt is the net income in year t, if T p ≤T b , then the project can be considered for acceptance; if T p >T b , then the project should be rejected, where T b is the base payback period;

[0078]

[0079] Among them, NPV is the net present value, CI is t is the cash inflow in year t, CO t is the cash outflow in year t, K t is the investment expenditure in year t, CO t ' is the unexpected cash outflow of investment expenditure at the beginning of year t, that is, CO t '=CO t -K t , n is the project life, i0 is the base discount rate;

[0080]

[0081] Among them, IRR is the internal rate of return.

[0082] For example, based on the above basic data and economic benefit evaluation model, with a 20-year life cycle, the dynamic investment payback period of Guangbaobao is 9 years, the net present value is 45 million yuan, and the internal rate of return is 10.2%. It can be concluded that the new energy cloud Guangbaobao operation mode has good benefits.

[0083] Device Example 2

[0084] The embodiment of the present invention provides a new energy cloud platform operation mode evaluation model generation device, such as Figure 3 As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0085] Device Example 3

[0086] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0087] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0088] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] In the 1930s, improvements to a technology could be clearly distinguished as hardware improvements (for example, improvements to circuit structures such as diodes, transistors, switches, etc.) or software improvements (improvements to method flows). However, with the development of technology, many improvements to method flows today can be regarded as direct improvements to hardware circuit structures. Designers almost always obtain the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that an improvement in a method flow cannot be implemented using a hardware entity module. For example, a programmable logic device (PLD) (such as a field programmable gate array (FPGA)) is such an integrated circuit whose logical function is determined by the user's programming of the device. Designers can "integrate" a digital system on a PLD by programming it themselves, without having to ask a chip manufacturer to design and produce a dedicated integrated circuit chip. Moreover, nowadays, instead of manually making integrated circuit chips, this kind of programming is mostly implemented by "logic compiler" software, which is similar to the software compiler used when developing and writing programs, and the original code before compilation must also be written in a specific programming language, which is called hardware description language (HDL). There is not only one HDL, but many kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc. The most commonly used ones are VHDL (Very-High-Speed ​​Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also know that it is only necessary to program the method flow slightly in the above-mentioned hardware description languages ​​and program it into the integrated circuit, and then it is easy to obtain the hardware circuit that implements the logic method flow.

[0090] The controller can be implemented in any appropriate manner, for example, the controller can take the form of a microprocessor or processor and a computer-readable medium storing a computer-readable program code (such as software or firmware) that can be executed by the (micro)processor, a logic gate, a switch, an application-specific integrated circuit (ASIC), a programmable logic controller, and an embedded microcontroller. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320. The memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art also know that in addition to implementing the controller in a purely computer-readable program code manner, the controller can be implemented in the form of a logic gate, a switch, an application-specific integrated circuit, a programmable logic controller, and an embedded microcontroller by logically programming the method steps. Therefore, this controller can be considered as a hardware component, and the devices included therein for implementing various functions can also be regarded as structures within the hardware component. Or even, the devices for implementing various functions can be regarded as both software modules for implementing the method and structures within the hardware component.

[0091] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0092] For the convenience of description, the above devices are described in terms of functions and are divided into various units. Of course, when implementing the embodiments of this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0093] It should be understood by those skilled in the art that one or more embodiments of this specification may be provided as a method, system or computer program product. Therefore, one or more embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0094] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0097] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0098] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0099] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0100] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0101] One or more embodiments of the present specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. One or more embodiments of the present specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0102] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0103] The above description is only an embodiment of this document and is not intended to limit this document. For those skilled in the art, this document may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this document should be included in the scope of the claims of this document.

Claims

1. A method for generating an evaluation model for an operation mode of a new energy cloud platform, characterized in that: include: Design the operation mode of the new energy cloud platform service products according to the business canvas theory and determine the operation mode of the new energy cloud platform; Obtain the market potential and scale of new energy cloud platform service products based on the new energy cloud platform operation model; Calculate the input and output of the new energy cloud platform operation mode according to the market potential and scale of the new energy cloud platform service products to obtain input and output data; Establishing a new energy cloud platform operation mode evaluation model according to the new energy cloud platform operation mode and the input-output data; The operation mode of the new energy cloud platform service product is designed according to the business canvas theory, and the operation mode of the new energy cloud platform is determined, which specifically includes: Determine the revenue source of the new energy cloud platform operation model; Determine the cost structure by calculating the infrastructure cost of the new energy cloud platform operation mode; quantify profits based on the stated cost structure; The market potential and scale of the new energy cloud platform service products obtained based on the new energy cloud platform operation mode specifically include: Obtain data on the developed scale and development potential of energy resources; Determine the scale of energy resource project development by analyzing energy resource development planning indicators and policy indicators, combined with resource constraints and planning policies; The calculation of the input and output of the operation mode of the new energy cloud platform according to the market potential and scale of the service products of the new energy cloud platform to obtain the input and output data specifically includes: Obtaining revenue data of the new energy cloud platform operation mode, the revenue data including: platform service fees and value-added service fees; Obtain cost data of the operation mode of the new energy cloud platform, wherein the cost data includes: platform construction fee and operation and maintenance fee.

2. The method according to claim 1, characterized in that: The establishing of a new energy cloud platform operation mode evaluation model according to the new energy cloud platform operation mode and the input-output data specifically includes: The payback period is calculated by formula 1. If the payback period is less than a specific year, the net present value is calculated by formula 2. If the net present value is greater than a specific value, the internal rate of return is calculated by formula 3. If the internal rate of return is greater than a specific benchmark discount rate, the new energy cloud platform operation mode is economically acceptable, otherwise it is economically unacceptable. Formula 1; Among them, T p is the investment payback period, K is the total investment, B t is the income in year t, C t is the expenditure in year t, NBt is the net income in year t, if T p ≤T b , then the project can be considered for acceptance; if T p >T b , then the project should be rejected, where T b is the base payback period; Formula 2; Among them, NPV is the net present value, CI t is the cash inflow in year t, CO t is the cash outflow in year t, K t is the investment expenditure in year t, CO t ’ is the unexpected cash outflow of investment expenditure at the beginning of year t, that is, CO t =CO t -K t , n is the project life, i 0 is the base discount rate; Formula 3: Among them, IRR is the internal rate of return.

3. A new energy cloud platform operation mode evaluation model generation device, characterized in that: include: The operation mode determination module designs the operation mode of the new energy cloud platform service products according to the business canvas theory and determines the operation mode of the new energy cloud platform; A prediction module, for obtaining the market potential and scale of new energy cloud platform service products based on the operation mode of the new energy cloud platform; An input-output module calculates the input and output of the operation mode of the new energy cloud platform according to the market potential and scale of the service products of the new energy cloud platform to obtain input-output data; An evaluation module, which establishes an evaluation model for the operation mode of the new energy cloud platform according to the operation mode of the new energy cloud platform and the input-output data; The operation mode determination module is specifically used for: Determine the revenue source of the new energy cloud platform operation model; Determine the cost structure by calculating the infrastructure cost of the new energy cloud platform operation mode; quantify profits based on the stated cost structure; The prediction module is specifically used for: Obtain data on the developed scale and development potential of energy resources; Determine the scale of energy resource project development by analyzing energy resource development planning indicators and policy indicators, combined with resource constraints and planning policies; The input-output module is specifically used for: Obtaining revenue data of the new energy cloud platform operation mode, the revenue data including: platform service fees and value-added service fees; Obtain cost data of the operation mode of the new energy cloud platform, wherein the cost data includes: platform construction fee and operation and maintenance fee.

4. The device according to claim 3, characterized in that The evaluation module is specifically used to: calculate the payback period by formula 1; if the payback period is less than a specific year, calculate the net present value by formula 2; if the net present value is greater than a specific value, calculate the internal rate of return by formula 3; if the internal rate of return is greater than a specific benchmark discount rate, the new energy cloud platform operation mode is economically acceptable; otherwise, it is economically unacceptable; Formula 1; Among them, T p is the investment payback period, K is the total investment, B t is the income in year t, C t is the expenditure in year t, NBt is the net income in year t, if T p ≤T b , then the project can be considered for acceptance; if T p >T b , then the project should be rejected, where T b is the base payback period; Formula 2; Among them, NPV is the net present value, CI t is the cash inflow in year t, CO t is the cash outflow in year t, K t is the investment expenditure in year t, CO t ’ is the unexpected cash outflow of investment expenditure at the beginning of year t, that is, CO t =CO t -K t , n is the project life, i 0 is the base discount rate; Formula 3: Among them, IRR is the internal rate of return.

5. A new energy cloud platform operation mode evaluation model generation device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the method for generating an operating mode evaluation model of a new energy cloud platform as described in any one of claims 1 to 2 are implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by the processor, the steps of the method for generating an evaluation model for an operation mode of a new energy cloud platform as described in any one of claims 1 to 2 are implemented.

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