Method, device, medium, electronic equipment and program product for evaluating feasibility of low-carbon regulation scheme

Abstract

The present disclosure relates to the field of low-carbon technology in the power industry, and provides a method and device for evaluating the feasibility of a low-carbon adjustment scheme, a medium, an electronic device and a program product. The method comprises: determining a standard net present value under a standard situation according to historical production and operation data of an enterprise; determining a plurality of selected scenarios from a library of candidate scenarios; determining a first selected net present value corresponding to the plurality of selected scenarios; obtaining a first risk value according to the standard net present value and the first selected net present value; adjusting according to a low-carbon adjustment scheme and determining a second risk value after adjustment; and evaluating the feasibility of the low-carbon adjustment scheme according to the first risk value and the second risk value. This method can accurately evaluate the feasibility of the low-carbon adjustment scheme of the enterprise, help the enterprise avoid risks in the transition, promote technological innovation, and enhance market competitiveness, thereby contributing to the realization of sustainable development goals.

Description

Technical Field

[0001] This disclosure relates to the field of low-carbon technology in the power industry, specifically to a feasibility assessment method, apparatus, medium, electronic equipment, and program product for a low-carbon regulation scheme. Background Technology

[0002] Feasibility assessments of a company's low-carbon adjustment plans not only help companies reduce carbon emissions and improve energy efficiency, but also ensure the scientific validity and effectiveness of the plans. Assessments can guide companies to avoid risks during transformation, promote technological innovation, enhance their market competitiveness, and contribute to achieving sustainable development goals.

[0003] In related technologies, feasibility assessments are conducted by analyzing and statistically analyzing historical energy data, without considering the impact of future market changes, resulting in inaccurate feasibility assessments of enterprises' low-carbon adjustment plans. Summary of the Invention

[0004] The purpose of this disclosure is to provide a method, apparatus, medium, electronic device, and program product for feasibility assessment of low-carbon regulation schemes to solve problems in related technologies.

[0005] To achieve the above objectives, this disclosure provides a feasibility assessment method for a low-carbon regulation scheme, the feasibility assessment method comprising: Determine the standard net present value under the standard scenario based on the company's historical production and operation data; Multiple selected scenarios are identified from the pool of candidate scenarios; Determine the first selected net present value corresponding to the plurality of selected scenarios; Based on the standard net present value and the first selected net present value, a first risk value is obtained; Adjustments were made according to the low-carbon adjustment plan, and the second risk value after adjustment was determined. The feasibility of the low-carbon adjustment scheme is assessed based on the first risk value and the second risk value.

[0006] Optionally, the candidate scenario library includes power system development scenarios, carbon market development scenarios, coal-fired power market development scenarios, thermal power technology development scenarios, and carbon peaking action plan scenarios.

[0007] Optionally, the thermal power technology development scenarios include a thermal power technology development benchmark sub-scenario, an integrated energy transformation sub-scenario, an energy storage transformation sub-scenario, an early retirement sub-scenario, a flexibility transformation sub-scenario, and a carbon emission reduction transformation sub-scenario.

[0008] Optionally, determining the first selected net present value corresponding to the plurality of selected scenarios includes: For each of the selected scenarios, determine the first net present value corresponding to that selected scenario; Based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario, the first selected net present value corresponding to the plurality of selected scenarios is obtained.

[0009] Optionally, obtaining the first selected net present value corresponding to the plurality of selected scenarios based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario includes: For each selected scenario, the product of the preset weight value corresponding to the selected scenario and the first net present value corresponding to the selected scenario is calculated to obtain the second net present value corresponding to the selected scenario. The sum of the second net present values ​​corresponding to all the selected scenarios is calculated to obtain the first selected net present value corresponding to the plurality of selected scenarios.

[0010] Optionally, determining multiple selected scenarios from the candidate scenario library includes: Based on the selected operation, multiple selected scenarios are determined from the candidate scenario library.

[0011] This disclosure also provides a feasibility assessment device for a low-carbon regulation scheme, the feasibility assessment device comprising: The first processing module is configured to determine the standard net present value under the standard scenario based on the company's historical production and operation data. The second processing module is configured to determine multiple selected scenarios from the candidate scenario library; The third processing module is configured to determine the first selected net present value corresponding to the plurality of selected scenarios; The fourth processing module is configured to obtain a first risk value based on the standard net present value and the first selected net present value; The fifth processing module is configured to adjust according to the low-carbon adjustment scheme and determine the second risk value after adjustment; The sixth processing module is configured to evaluate the feasibility of the low-carbon adjustment scheme based on the first risk value and the second risk value.

[0012] This disclosure also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the feasibility assessment method for any of the aforementioned low-carbon adjustment schemes.

[0013] This disclosure also provides an electronic device, including: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the feasibility assessment method for any of the aforementioned low-carbon regulation schemes.

[0014] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the feasibility assessment method for any of the above-described low-carbon regulation schemes.

[0015] The above technical solution determines the standard net present value (NPV) under standard conditions based on the company's historical production and operation data; identifies multiple selected scenarios from a pool of candidate scenarios; determines the first selected NPV corresponding to each selected scenario; obtains a first risk value based on the standard NPV and the first selected NPV; adjusts according to the low-carbon adjustment plan and determines the adjusted second risk value; and evaluates the feasibility of the low-carbon adjustment plan based on the first and second risk values. By comprehensively considering the company's historical production and operation data and future market changes, and combining multiple selected scenarios, the selected NPV is calculated from multiple perspectives to obtain the risk values ​​before and after the low-carbon adjustment plan, thus providing a more comprehensive and accurate method for evaluating the company's low-carbon adjustment plan. This method helps companies avoid risks during transformation, promotes technological innovation, and enhances market competitiveness, thereby contributing to the achievement of sustainable development goals.

[0016] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating a feasibility assessment method for a low-carbon regulation scheme according to an exemplary embodiment.

[0018] Figure 2 This is a schematic diagram illustrating a library of candidate scenarios according to an exemplary embodiment.

[0019] Figure 3 This is a flowchart illustrating a sub-step of step S3 according to an exemplary embodiment.

[0020] Figure 4 This is a flowchart illustrating a sub-step of step S32 according to an exemplary embodiment.

[0021] Figure 5 This is a flowchart illustrating a sub-step of step S5 according to an exemplary embodiment.

[0022] Figure 6This is a block diagram illustrating a feasibility assessment device for a low-carbon regulation scheme according to an exemplary embodiment.

[0023] Figure 7 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0024] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0025] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0026] Feasibility assessments of a company's low-carbon adjustment plans not only help companies reduce carbon emissions and improve energy efficiency, but also ensure the scientific validity and effectiveness of the plans. Assessments can guide companies to avoid risks during transformation, promote technological innovation, enhance their market competitiveness, and contribute to achieving sustainable development goals.

[0027] In related technologies, feasibility assessments are conducted by analyzing and statistically analyzing historical energy data, without considering the impact of future market changes, resulting in inaccurate feasibility assessments of enterprises' low-carbon adjustment plans.

[0028] By comprehensively considering historical production and operation data and future market changes, and combining multiple selected scenarios, the net present value of the first selected option is calculated from multiple perspectives to obtain the risk values ​​before and after the low-carbon adjustment plan. This provides a more comprehensive and accurate method for evaluating low-carbon adjustment plans. This method helps enterprises avoid risks during transformation, promotes technological innovation, and enhances market competitiveness, thereby contributing to the achievement of sustainable development goals.

[0029] Figure 1 This is a feasibility assessment method for a low-carbon adjustment scheme according to an exemplary embodiment. This feasibility assessment method for a low-carbon adjustment scheme can be applied to electronic devices. Please refer to [link to relevant documentation]. Figure 1 The feasibility assessment method may include steps S1 to S6.

[0030] Step S1: Determine the standard net present value under the standard scenario based on the company's historical production and operation data.

[0031] Historical production and operation data for enterprises includes, but is not limited to, energy production data, main equipment operation data, overall power plant thermal efficiency, carbon emissions, power generation, calorific value, coal consumption, and other indicators. Financial data of energy enterprises, including cost and revenue indicators, are also collected. Combined with publicly available data such as electricity and coal prices, this data is used to calculate the enterprise's cash flow for various time periods.

[0032] The standard scenario assumes that the energy industry operates as is during the period between the risk assessment time point and the current scenario, with all assessed industries being operating power plants. In the standard scenario, the proportion of various power assets in each province will remain unchanged, and their generating capacity will be predicted monthly using historical data. For existing thermal power assets, upgrades and renovations will not be considered; units will be decommissioned normally, without consideration for early decommissioning or life extension. Carbon prices will remain consistent with the standard year and will remain unchanged between the tracking time point and the risk assessment time point. For the coal-fired power market, coal and electricity prices will also remain consistent with the standard year.

[0033] Standard net present value (NPV) is a financial metric used to measure the expected economic benefits of a project, investment, or policy initiative without any new measures or changes being implemented. NPV reflects the present value of all expected future cash flows (including costs and benefits) by discounting them to the present using a specific discount rate.

[0034] Future cash flow will consider four asset classes: thermal power. Hydropower Wind power Photovoltaics The service life of various assets is as follows: ( ), each asset Service life is Each asset in the future The electricity and heat produced are respectively and .

[0035] (1) Cost and revenue analysis of thermal power assets The costs of existing thermal power assets mainly include four items: fixed costs, fuel costs, operation and maintenance costs, and carbon transition costs. Fixed costs ( This refers to expenses not directly related to electricity production, including depreciation costs. Financial costs ), labor costs ( 3 items.

[0036] fuel costs ( This includes the cost of various fuels used in the production of electricity.

[0037] Operation and maintenance costs ( This refers to expenses directly related to electricity production, including maintenance costs. ) and other operating costs ( ).

[0038] Carbon transition costs ( This refers to the costs incurred by thermal power plants in the dual-carbon transition, including carbon market costs. ), flexibility transformation cost ( ), carbon emission reduction project costs ( ) and 3 other items.

[0039] The revenue from existing thermal power assets mainly includes electricity sales revenue ( ) and heat sales revenue ( In addition, thermal power plants also have ancillary service revenue ( ) and capacity market revenue ( ).

[0040] (2) Cost and revenue analysis of wind, solar and hydropower assets Wind, solar and hydropower assets The costs mainly include depreciation expenses ( Financial expenses ), labor costs ( Maintenance costs ) and other expenses ( ).

[0041] Income from wind, solar and hydropower ( ) includes electricity sales revenue ( ) and potential government subsidies for new energy ( ).

[0042] In summary, power assets future time point Cost and income The calculation formulas are as follows: (1) (2) Power assets future time point cash flow The calculation formula is: (3) in, For power assets future time point Total revenue, For power assets future time point The total cost.

[0043] Any power asset of the enterprise The formula for calculating Net Present Value (NPV) is as follows: (4) All power assets of the enterprise The NPV calculation formula is as follows: (5) in: This refers to the current time point; This is the time point for risk assessment; The monthly discount rate can be taken as 0.64%.

[0044] Step S2: Select multiple selected scenarios from the candidate scenario library.

[0045] Please see Figure 2 The pool of candidate scenarios can include internal and external scenarios. Internal scenarios include at least thermal power technology development scenarios and carbon peaking action plan scenarios, while external scenarios include at least power system development scenarios, carbon market development scenarios, and coal power market development scenarios.

[0046] The development scenarios for thermal power technology include the baseline scenario for thermal power technology development, the integrated energy transformation scenario, the energy storage transformation scenario, the early retirement scenario, the flexibility transformation scenario, and the carbon emission reduction transformation scenario.

[0047] The power system development scenario includes the power system development baseline sub-scenario and the policy-driven sub-scenario.

[0048] The carbon market development scenarios include the carbon market benchmark sub-scenario, the slow-developing carbon market sub-scenario, and the fast-developing carbon market sub-scenario.

[0049] The development scenarios of the coal-fired power market include the benchmark coal-fired power market sub-scenario, the high coal price sub-scenario, the low coal price sub-scenario, the high electricity price sub-scenario, and the low electricity price sub-scenario.

[0050] Multiple selected scenes can be a combination of internal scenes and external scenes, a combination of internal scenes, or a combination of external scenes. Multiple selected scenes can also be a combination of sub-scenes and scenes. This embodiment does not limit this.

[0051] Multiple selected scenarios can be determined from the pool of candidate scenarios based on the selected operation used.

[0052] Step S3: Determine the first selected net present value corresponding to multiple selected scenarios.

[0053] The first selected net present value can be a composite value that takes into account multiple selected scenarios and their corresponding net present values.

[0054] Step S4: Obtain the first risk value based on the standard net present value and the first selected net present value.

[0055] The first risk value can be the net present value difference between the standard net present value and the first selected net present value.

[0056] Based on basic data and scenario design, we construct the RiskValue, or net present value difference, as a corporate climate transition risk indicator under the net present value method.

[0057] The NPV method is used to measure the asset risk of enterprise transformation under different development scenarios. The asset risk (i.e., the first risk value) caused by changes in net cash flow under different scenarios within the expected stage is calculated as follows: (6) in Standard net present value, The first selected net present value.

[0058] Step S5: Adjust according to the low-carbon adjustment plan and determine the second risk value after adjustment.

[0059] Low-carbon adjustment schemes can include, but are not limited to, adjusting existing assets or adjusting the proportion of renewable energy assets.

[0060] After adjusting according to the low-carbon plan, the second risk value can be obtained by following the same steps as those used to obtain the first risk value. The difference between the second and first risk values ​​is that the first risk value was obtained before adjusting according to the low-carbon plan, while the second risk value was obtained after adjusting according to the low-carbon plan.

[0061] Step S6: Assess the feasibility of the low-carbon adjustment scheme based on the first risk value and the second risk value.

[0062] The first risk value and the second risk value are compared, and the feasibility of the low-carbon solution is evaluated based on the comparison results.

[0063] In one possible implementation, step S5 may include: If the first risk value is greater than the second risk value, the low-carbon adjustment scheme is deemed feasible. If the first risk value is less than or equal to the second risk value, the low-carbon adjustment scheme is determined to be infeasible.

[0064] By comprehensively considering historical production and operation data and future market changes, and combining multiple selected scenarios, the net present value (NPV) is calculated from multiple perspectives to obtain the risk values ​​before and after the low-carbon adjustment plan. This provides a more comprehensive and accurate method for evaluating low-carbon adjustment plans. This approach helps companies avoid risks during transformation, promotes technological innovation, and enhances market competitiveness, thereby contributing to the achievement of sustainable development goals.

[0065] In one possible implementation, please refer to Figure 3 Step S3 may include steps S31 and S32.

[0066] Step S31: For each selected scenario, determine the first net present value corresponding to that selected scenario.

[0067] If the selected scenario is the development of the power system, then based on the energy development plans and policies of each province, the future capacity and proportion of various energy sources for power generation are predicted. In the power system development scenario, the net present value (NPV) can be the expected and discounted future cash flows under the influence of specific policies or market drivers. For example, if an environmental policy requires companies to reduce pollution and adopt cleaner technologies, this may increase initial investment costs, but in the long run, it may reduce future operating costs and improve efficiency, thus affecting the NPV.

[0068] If the selected scenario is a carbon market development scenario, the development of the carbon market will affect the carbon market costs and revenues in the asset risk assessment. Therefore, carbon market assumptions will be added to the standard scenario. In the carbon market scenario, a baseline carbon market sub-scenario, a low-speed carbon market development sub-scenario, and a high-speed carbon market development sub-scenario will be considered.

[0069] Carbon markets price carbon emissions, requiring companies to pay for their greenhouse gas emissions. This market mechanism impacts corporate finances, particularly for high-emission companies. Under the influence of carbon markets, net present value (NPV) refers to the net present value after accounting for the costs of carbon emissions. If increased carbon emission costs lead to a decrease in future cash flows, the NPV will decrease. Carbon markets incentivize companies to reduce emissions through quota allocation and trading mechanisms, which can influence their investment decisions and the economic viability of projects.

[0070] If the selected scenario is a coal-fired power market development scenario, the development of the coal-fired power market will affect the fuel cost and electricity sales revenue items in the asset risk assessment. Therefore, a coal-fired power market assumption will be added to the standard scenario. In the coal-fired power market scenario, we will consider the benchmark coal-fired power market sub-scenario, the high coal price sub-scenario, the low coal price sub-scenario, the high electricity price sub-scenario, and the low electricity price sub-scenario.

[0071] Changes in the coal-fired power market, such as fluctuations in electricity prices, policy adjustments, and supply and demand dynamics, all impact the economic benefits of coal-fired power. Its net present value (NPV) can be considered as the expected and discounted future cash flows under specific conditions in the coal-fired power market. For example, if a market-based pricing mechanism for coal-fired power leads to higher electricity prices, the revenue of coal-fired power projects may increase, thereby improving the NPV. On the other hand, if policies favor renewable energy and reduce reliance on coal-fired power, market demand for coal-fired power projects may decrease, affecting their NPV.

[0072] If the selected scenario is the Carbon Peaking Action Plan scenario, in the Carbon Peaking Action Plan scenario, for the development of the power system, the capacity, proportion and power generation of various energy sources in each province will be predicted based on the enterprise's Carbon Peaking Action Plan; for the technical path of thermal power, various upgrading and transformation projects will be considered based on the specific content of the peaking action plan; for the development of the carbon market and the coal power market, it will remain consistent with the standard scenario.

[0073] Step S32: Based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario, obtain the first selected net present value corresponding to multiple selected scenarios.

[0074] Each scene in the candidate scene library has its corresponding preset weight value, which can be set by the user according to the actual situation.

[0075] In one possible implementation, please refer to Figure 4 Step S32 may include steps S321 and S322.

[0076] Step S321: For each selected scenario, calculate the product of the preset weight value corresponding to the selected scenario and the first net present value corresponding to the selected scenario to obtain the second net present value corresponding to the selected scenario.

[0077] Second net present value = First net present value * Preset weight value.

[0078] Step S322: Calculate the sum of the second net present values ​​corresponding to all selected scenarios to obtain the first selected net present values ​​corresponding to multiple selected scenarios.

[0079] In one possible implementation, please refer to Figure 5 Determining the adjusted second risk value in step S5 may include steps S51 and S52.

[0080] Step S51: Determine the second selected net present value corresponding to multiple selected scenarios.

[0081] The second selected net present value can be a comprehensive value that takes into account multiple selected scenarios and their corresponding net present values ​​after being adjusted according to the low-carbon adjustment scheme.

[0082] Step S52: Obtain the second risk value based on the standard net present value and the second selected net present value.

[0083] The second risk value can be the net present value difference between the standard net present value and the second selected net present value.

[0084] It should be understood that the calculation principle of the second risk value is the same as that of the first risk value, and will not be repeated here in this embodiment.

[0085] When designing scenarios, they are divided into internal and external scenarios. Internal scenarios refer to the company's future development, involving integrated energy transformation, early retirement, flexibility upgrades, carbon emission reduction upgrades, and carbon peaking action plans. External scenarios refer to changes in the external environment, including external policy scenarios, overall power system development, the coal power market, and the carbon market. Defining and matching these internal and external scenarios will form possible development paths. By customizing and adjusting scenarios, risks can be tracked for various transformation options, thereby finding the optimal development path.

[0086] Based on the same inventive concept, and to implement the above-mentioned feasibility assessment method for low-carbon regulation schemes, this embodiment also provides a feasibility assessment device for low-carbon regulation schemes, such as... Figure 6 As shown, the feasibility assessment device 600 for this low-carbon regulation scheme may include: The first processing module 601 is configured to determine the standard net present value under the standard case based on the company's historical production and operation data. The second processing module 602 is configured to determine multiple selected scenes from the candidate scene library; The third processing module 603 is configured to determine the first selected net present value corresponding to multiple selected scenarios; The fourth processing module 604 is configured to obtain a first risk value based on the standard net present value and the first selected net present value; The fifth processing module 605 is configured to adjust according to the low-carbon adjustment scheme and determine the second risk value after adjustment; The sixth processing module 606 is configured to assess the feasibility of low-carbon adjustment schemes based on a first risk value and a second risk value.

[0087] Optionally, the pool of candidate scenarios includes scenarios related to power system development, carbon market development, coal-fired power market development, thermal power technology development, and carbon peaking action plans.

[0088] Optionally, the development scenarios for thermal power technology include the benchmark sub-scenario for thermal power technology development, the integrated energy transformation sub-scenario, the energy storage transformation sub-scenario, the early retirement sub-scenario, the flexibility transformation sub-scenario, and the carbon emission reduction transformation sub-scenario.

[0089] Optionally, the third processing module 603 includes: The first sub-processing module is configured to determine the first net present value corresponding to each selected scenario. The second sub-processing module is configured to obtain the first selected net present value corresponding to multiple selected scenarios based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario.

[0090] Optionally, the second sub-processing module is specifically configured as follows: For each selected scenario, the product of the preset weight value corresponding to the selected scenario and the first net present value corresponding to the selected scenario is calculated to obtain the second net present value corresponding to the selected scenario. Calculate the sum of the second net present values ​​corresponding to all selected scenarios to obtain the first selected net present values ​​corresponding to multiple selected scenarios.

[0091] Optionally, the second processing module 602 is specifically configured as follows: Based on the selected operation, multiple selected scenarios are determined from the candidate scenario library.

[0092] Regarding the feasibility assessment device for the low-carbon adjustment scheme in the above embodiments, the specific methods by which each module performs its operation have been described in detail in the embodiments concerning the feasibility assessment method for the low-carbon adjustment scheme, and will not be elaborated here.

[0093] Figure 7 This is a block diagram illustrating an electronic device 700 according to an exemplary embodiment. Figure 7 As shown, the electronic device 700 may include a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0094] The processor 701 controls the overall operation of the electronic device 700 to complete all or part of the steps in the feasibility assessment method for the aforementioned low-carbon adjustment scheme. The memory 702 stores various types of data to support the operation of the electronic device 700. This data may include, for example, instructions for any application or method operating on the electronic device 700, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 702 or transmitted via communication component 705. The audio component also includes at least one speaker for outputting audio signals. I / O interface 704 provides an interface between processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G technologies, or combinations thereof, is not limited here. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, etc.

[0095] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the feasibility assessment method for the aforementioned low-carbon regulation scheme.

[0096] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, these program instructions implement the steps of the feasibility assessment method for the low-carbon adjustment scheme described above. For example, the computer-readable storage medium may be the memory 702 including program instructions described above, which may be executed by the processor 701 of the electronic device 700 to complete the feasibility assessment method for the low-carbon adjustment scheme described above.

[0097] In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having a code portion for performing the feasibility assessment method of the low-carbon regulation scheme described above when executed by the programmable device.

[0098] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0099] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0100] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A feasibility assessment method for a low-carbon regulation scheme, characterized in that, The feasibility assessment methods include: Determine the standard net present value under the standard scenario based on the company's historical production and operation data; Multiple selected scenarios are identified from the pool of candidate scenarios; Determine the first selected net present value corresponding to the plurality of selected scenarios; Based on the standard net present value and the first selected net present value, a first risk value is obtained; Adjustments were made according to the low-carbon adjustment plan, and the second risk value after adjustment was determined. The feasibility of the low-carbon adjustment scheme is assessed based on the first risk value and the second risk value.

2. The feasibility assessment method according to claim 1, characterized in that, The pool of candidate scenarios includes scenarios related to power system development, carbon market development, coal-fired power market development, thermal power technology development, and carbon peaking action plans.

3. The feasibility assessment method according to claim 2, characterized in that, The development scenarios for thermal power technology include the benchmark sub-scenario for thermal power technology development, the integrated energy transformation sub-scenario, the energy storage transformation sub-scenario, the early retirement sub-scenario, the flexibility transformation sub-scenario, and the carbon emission reduction transformation sub-scenario.

4. The feasibility assessment method according to claim 1, characterized in that, Determining the first selected net present value corresponding to the plurality of selected scenarios includes: For each of the selected scenarios, determine the first net present value corresponding to that selected scenario; Based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario, the first selected net present value corresponding to the plurality of selected scenarios is obtained.

5. The feasibility assessment method according to claim 4, characterized in that, The step of obtaining the first selected net present value corresponding to the plurality of selected scenarios based on the preset weight value corresponding to each selected scenario and the first net present value corresponding to each selected scenario includes: For each selected scenario, the product of the preset weight value corresponding to the selected scenario and the first net present value corresponding to the selected scenario is calculated to obtain the second net present value corresponding to the selected scenario. The sum of the second net present values ​​corresponding to all the selected scenarios is calculated to obtain the first selected net present value corresponding to the plurality of selected scenarios.

6. The feasibility assessment method according to claim 1, characterized in that, The process of determining multiple selected scenarios from the candidate scenario library includes: Based on the selected operation, multiple selected scenarios are determined from the candidate scenario library.

7. A feasibility assessment device for a low-carbon regulation scheme, characterized in that, The feasibility assessment device includes: The first processing module is configured to determine the standard net present value under the standard scenario based on the company's historical production and operation data. The second processing module is configured to determine multiple selected scenarios from the candidate scenario library; The third processing module is configured to determine the first selected net present value corresponding to the plurality of selected scenarios; The fourth processing module is configured to obtain a first risk value based on the standard net present value and the first selected net present value; The fifth processing module is configured to adjust according to the low-carbon adjustment scheme and determine the second risk value after adjustment; The sixth processing module is configured to evaluate the feasibility of the low-carbon adjustment scheme based on the first risk value and the second risk value.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the feasibility assessment method for the low-carbon regulation scheme according to any one of claims 1-6.

9. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the feasibility assessment method for the low-carbon regulation scheme according to any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the feasibility assessment method for the low-carbon regulation scheme according to any one of claims 1-6.

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