Emission reduction strategy determination method and device, storage medium and electronic device

Abstract

The invention discloses an emission reduction strategy determination method and device, a storage medium and an electronic device, and the method comprises the steps: collecting environment data corresponding to a photovoltaic system to be subjected to emission reduction, and enabling the environment data to be influence data of the photovoltaic system to be subjected to emission reduction on the environment in an actual operation life cycle, the influence data comprises at least one of energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data and waste generation data; performing environmental influence evaluation processing on the environmental data to obtain a first result, and performing carbon emission calculation processing on the environmental data to obtain a second result; and generating a target emission reduction strategy of the photovoltaic system to be subjected to emission reduction according to the first result and / or the second result. The problems that the environmental protection effect of the photovoltaic system cannot be comprehensively evaluated and the emission reduction condition of the photovoltaic system cannot be improved are solved.

Description

Technical Field

[0001] The present application relates to the field of energy technology, and in particular to a method and device for determining an emission reduction strategy, a storage medium, and an electronic device. Background Art

[0002] With the rapid growth of global renewable energy, green hydrogen energy has gradually become an important part of the global energy system. As a clean, efficient and renewable energy, hydrogen energy is of great significance to promoting the transformation of energy structure and achieving the goals of carbon peak and carbon neutrality. As an important way to produce hydrogen from renewable energy, photovoltaic hydrogen production is of great significance to the sustainable development of hydrogen energy. At present, the research on photovoltaic hydrogen production systems at home and abroad mainly focuses on technical optimization, cost analysis, system integration and other aspects. There are few studies on the evaluation and optimization of the environmental performance of photovoltaic hydrogen production systems, and the evaluation methods mostly use traditional life cycle assessment methods, which do not fully consider the carbon footprint and resource recycling of solar panels, and the evaluation of the environmental performance of photovoltaic hydrogen production systems is not comprehensive enough. However, the environmental performance of photovoltaic hydrogen production systems not only affects its carbon emission reduction effect, but also is related to the realization of environmental protection goals such as resource recycling and material recycling. Therefore, establishing a comprehensive set of environmental performance evaluation methods for photovoltaic hydrogen production systems is of great significance to promoting the sustainable development of photovoltaic hydrogen production systems.

[0003] With regard to the problem in related technologies that it is impossible to comprehensively evaluate the environmental protection effects of photovoltaic systems and improve the emission reduction of photovoltaic systems, no effective solution has been proposed so far.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a method and device for determining an emission reduction strategy, a storage medium, and an electronic device, so as to at least solve the problem of being unable to comprehensively evaluate the environmental protection effect of a photovoltaic system and improve the emission reduction of the photovoltaic system.

[0006] According to one aspect of an embodiment of the present application, a method for determining an emission reduction strategy is provided, including: collecting environmental data corresponding to a photovoltaic system to be subject to emission reduction, wherein the environmental data is data on the impact of the photovoltaic system to be subject to emission reduction on the environment in which it is located during its actual operating life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; performing an environmental impact assessment on the environmental data to obtain a first result, and performing a carbon emission calculation on the environmental data to obtain a second result; and generating a target emission reduction strategy for the photovoltaic system to be subject to emission reduction based on the first result and / or the second result.

[0007] In an exemplary embodiment, environmental data is subjected to environmental impact assessment processing to obtain a first result, including: classifying the environmental data according to predefined impact categories to obtain multiple data sets; and quantifying each set in the data set according to corresponding relationships in a quantitative standard database to obtain a first result.

[0008] In an exemplary embodiment, carbon emissions are calculated and processed on environmental data to obtain a second result, including: obtaining the carbon emission factor corresponding to each type of impact data in the environmental data from a preset emission factor database; wherein the preset emission factor database includes: a first correspondence between multiple groups of emission factors and energy, and a second correspondence between multiple groups of emission factors and materials; calculating the total carbon emissions of the photovoltaic system to be reduced based on the environmental data and the carbon emission factors; and determining the second result based on the total carbon emissions.

[0009] In an exemplary embodiment, after performing environmental impact assessment processing on environmental data to obtain a first result, and performing carbon emission calculation processing on the environmental data to obtain a second result, the above method also includes: parsing the first result, identifying the sub-operation cycle of the photovoltaic system to be reduced that has the greatest impact on the environmental load in the first result; parsing the second result, identifying the data type in the second result that has the greatest impact on the calculated value of total carbon emissions, wherein the data type corresponds to at least one of the influencing data; and generating a preliminary emission reduction plan based on the sub-operation cycle and the data type.

[0010] In an exemplary embodiment, a target emission reduction strategy for a photovoltaic system to be reduced is generated based on a first result and / or a second result, including: obtaining a preliminary emission reduction plan generated based on the first result and the second result; searching for a matching emission reduction strategy from a strategy database associated with the photovoltaic system based on the preliminary emission reduction plan to obtain a first strategy; determining an execution probability of the first strategy in the photovoltaic system to be reduced; and determining whether to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced based on the execution probability.

[0011] In an exemplary embodiment, whether to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced is determined based on the execution probability, including: when the execution probability is greater than or equal to a preset probability threshold, determining the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced; when the execution probability is less than the preset probability threshold, prohibiting the first strategy from being determined as the target emission reduction strategy for the photovoltaic system to be reduced, and re-matching the emission reduction strategy corresponding to the preliminary emission reduction plan.

[0012] According to another aspect of an embodiment of the present application, a device for determining an emission reduction strategy is also provided, including: a collection module, used to collect environmental data corresponding to a photovoltaic system to be subject to emission reduction, wherein the environmental data is data on the impact of the photovoltaic system to be subject to emission reduction on the environment in which it is located during its actual operating life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; a processing module, used to perform an environmental impact assessment on the environmental data to obtain a first result, and to perform a carbon emission calculation on the environmental data to obtain a second result; and a generation module, used to generate a target emission reduction strategy for the photovoltaic system to be subject to emission reduction based on the first result and / or the second result.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining the emission reduction strategy when running.

[0014] According to another aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for determining the emission reduction strategy through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the method for determining the above-mentioned emission reduction strategy.

[0016] Through this application, the environmental data corresponding to the photovoltaic system to be reduced are collected, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during the actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; the environmental data is processed by environmental impact assessment to obtain a first result, and the environmental data is processed by carbon emission calculation to obtain a second result; the target emission reduction strategy of the photovoltaic system to be reduced is generated according to the first result and / or the second result. The above technical solution solves the problem of being unable to fully evaluate the environmental protection effect of the photovoltaic system and improve the emission reduction of the photovoltaic system. Furthermore, by collecting the environmental impact data during the life cycle of the photovoltaic system, evaluating its environmental impact and carbon emissions, an effective emission reduction strategy is formulated to optimize the environmental performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for determining an emission reduction strategy in an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining an emission reduction strategy according to an embodiment of the present application;

[0021] Figure 3 It is a logic diagram of a photovoltaic hydrogen production system life cycle environmental performance evaluation and optimization scheme according to an embodiment of the present application;

[0022] Figure 4 It is a structural block diagram of determining an emission reduction strategy according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a mobile terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal for determining an emission reduction strategy according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, CPU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the computer terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the emission reduction strategy in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0027] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a method for determining an emission reduction strategy is provided. Figure 2 is a flow chart of a method for determining an emission reduction strategy according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S206:

[0029] Step S202: Collecting environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data;

[0030] Step S204: performing an environmental impact assessment process on the environmental data to obtain a first result, and performing a carbon emission calculation process on the environmental data to obtain a second result;

[0031] Step S206: generating a target emission reduction strategy for the photovoltaic system to be reduced according to the first result and / or the second result.

[0032] The above steps collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operating life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; perform environmental impact assessment processing on the environmental data to obtain a first result, and perform carbon emission calculation processing on the environmental data to obtain a second result; generate a target emission reduction strategy for the photovoltaic system to be reduced based on the first result and / or the second result. The above technical solution solves the problem of being unable to fully evaluate the environmental protection effect of the photovoltaic system and improve the emission reduction of the photovoltaic system. Furthermore, by collecting environmental impact data during the life cycle of the photovoltaic system and evaluating its environmental impact and carbon emissions, an effective emission reduction strategy is formulated to optimize the environmental performance of the system.

[0033] In an exemplary embodiment, environmental data is subjected to environmental impact assessment processing to obtain a first result, including: classifying the environmental data according to predefined impact categories to obtain multiple data sets; and quantifying each set in the data set according to corresponding relationships in a quantitative standard database to obtain a first result.

[0034] Optionally, the photovoltaic hydrogen production plant identifies its main environmental impacts during operation through the evaluation of environmental data in order to formulate effective emission reduction measures. According to the pre-defined environmental impact categories, the collected environmental data are divided into: greenhouse gas emissions (including carbon dioxide, methane, etc.), energy consumption (including electricity, hydropower, etc.), water resource consumption, land use and ecological impact, and waste generation; each type of data is quantified using a quantitative standard database. For example, the database may contain: average greenhouse gas emissions per unit of hydrogen production; quantitative values ​​of environmental impacts corresponding to each kilowatt-hour of electricity consumption; and quantitative standards for the ecological impact of water resource consumption on arid areas. Through classification and quantitative processing, a detailed environmental impact assessment report is obtained to achieve quantification of each environmental impact category. For example, the report includes: greenhouse gas emissions of 1,500 tons of carbon dioxide equivalent per year; water resource consumption of 3,000 cubic meters per year, equivalent to 0.05% of the average annual precipitation in the area; and the ecological impact value caused by land use changes is 0.15. Based on the quantitative results, the plant found that its greenhouse gas emissions were high, while the impacts of water resource consumption and land use changes were relatively small. Therefore, the plant decided to focus on reducing greenhouse gas emissions, and chose to optimize the water electrolysis hydrogen production process and adopt high-efficiency photovoltaic panels as its main emission reduction strategies. By implementing these strategies, the plant significantly reduced greenhouse gas emissions in subsequent assessments, while maintaining a controllable level of other environmental impacts and achieving improved environmental performance.

[0035] In an exemplary embodiment, carbon emissions are calculated and processed on environmental data to obtain a second result, including: obtaining the carbon emission factor corresponding to each type of impact data in the environmental data from a preset emission factor database; wherein the preset emission factor database includes: a first correspondence between multiple groups of emission factors and energy, and a second correspondence between multiple groups of emission factors and materials; calculating the total carbon emissions of the photovoltaic system to be reduced based on the environmental data and the carbon emission factors; and determining the second result based on the total carbon emissions.

[0036] Optionally, by collecting environmental data from all stages of the project from raw material mining to scrapping and recycling, it can specifically include: energy consumption, raw material usage, waste generation, etc., and classify them according to impact categories, such as greenhouse gas emissions, energy consumption, etc. From the preset emission factor database, obtain the carbon emission factors of energy (such as grid electricity, transportation fuel) and materials (such as photovoltaic modules, electrolyzers) related to the project. For example, the carbon emission factor of grid electricity can be the carbon dioxide emissions corresponding to each kilowatt-hour of electricity, and the carbon emission factor of photovoltaic modules is the carbon dioxide emissions per square meter of photovoltaic panels produced. Based on the collected environmental data and the obtained carbon emission factors, calculate the carbon emissions of the project at different stages. For example, if the project uses 1,000 kilowatt-hours of grid electricity, then according to the emission factor of 0.5 kilograms of carbon dioxide per kilowatt-hour of electricity, the carbon emissions of this part are 500 kilograms of carbon dioxide. Add up the carbon emissions of all stages to get the total carbon emissions of the project. Through the above steps, it is calculated that the project generates 100 kg of carbon dioxide in the raw material mining stage, 300 kg in the manufacturing stage, 1,500 kg in the operation and maintenance stage, and 50 kg in the scrapping and recycling stage. The total carbon emissions of the project are 2,050 kg of carbon dioxide. By calculating and processing the carbon emissions of environmental data, the main sources of carbon emissions from the photovoltaic hydrogen production system can be accurately identified, and based on this, effective emission reduction strategies can be formulated and implemented to promote the system to develop in a more environmentally friendly and low-carbon direction, and contribute to achieving the global carbon neutrality goal.

[0037] In an exemplary embodiment, after performing environmental impact assessment processing on environmental data to obtain a first result, and performing carbon emission calculation processing on the environmental data to obtain a second result, the above method also includes: parsing the first result, identifying the sub-operation cycle of the photovoltaic system to be reduced that has the greatest impact on the environmental load in the first result; parsing the second result, identifying the data type in the second result that has the greatest impact on the calculated value of total carbon emissions, wherein the data type corresponds to at least one of the influencing data; and generating a preliminary emission reduction plan based on the sub-operation cycle and the data type.

[0038] Optionally, a life cycle assessment (first result) and carbon emission calculation (second result) are performed on the photovoltaic hydrogen production plant, and it is found that the raw material preparation stage (sub-operation cycle) has the greatest impact on the environmental load, especially the energy consumption in the production process of the water electrolysis hydrogen production equipment. At the same time, the results of the carbon emission calculation show that the electricity consumption (data type) obtained from the power grid during the operation of the plant is the most influential part of the total carbon emission calculation value. Through the above steps, the key environmental load and carbon emission issues are identified for the specific situation of the photovoltaic hydrogen production system installation, and then a preliminary emission reduction plan with targeted and feasible characteristics is generated. This not only helps to improve the current environmental performance of the system, but also provides valuable reference and guidance for future system design and operation.

[0039] In an exemplary embodiment, a target emission reduction strategy for a photovoltaic system to be reduced is generated based on a first result and / or a second result, including: obtaining a preliminary emission reduction plan generated based on the first result and the second result; searching for a matching emission reduction strategy from a strategy database associated with the photovoltaic system based on the preliminary emission reduction plan to obtain a first strategy; determining an execution probability of the first strategy in the photovoltaic system to be reduced; and determining whether to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced based on the execution probability.

[0040] Optionally, in the above embodiments, multiple technical optimization schemes can be considered in the target emission reduction strategy, including improving the photoelectric conversion efficiency, optimizing the water electrolysis process, selecting low environmental impact materials, intelligent energy management systems, using waste heat for heating / hot water, and establishing a waste treatment mechanism. Improving the photoelectric conversion efficiency emphasizes increasing the efficiency of photovoltaic systems in converting sunlight into electrical energy through technological progress or equipment upgrades, thereby reducing energy consumption and carbon emissions. Optimizing the water electrolysis process focuses on improving the energy utilization efficiency in the hydrogen preparation process and reducing carbon emissions in this process. The selection of low environmental impact materials means selecting materials with less environmental load in the production and maintenance of photovoltaic modules, reducing resource consumption and waste generation.

[0041] Optionally, the emission reduction strategy for designing a photovoltaic hydrogen production plant can find the main environmental burden of the plant through the first result obtained by the environmental impact assessment and the second result obtained by the carbon emission calculation. When the main environmental burden lies in the high energy consumption in the hydrogen production process and the high carbon emissions in the material production stage. Based on these results, a preliminary emission reduction plan is generated to reduce energy consumption and reduce carbon emissions. Specifically, the preliminary emission reduction plan includes two main directions: one is to improve energy efficiency by optimizing the water electrolysis hydrogen production process, and the other is to improve the materials and production process of photovoltaic panels to reduce carbon emissions. Find emission reduction strategies that match the preliminary plan from the strategy database. The database contains a number of strategies, such as improving electrolyzer design, adopting new high-efficiency catalysts, optimizing photovoltaic panel design, adopting low environmental impact materials, and implementing intelligent energy management systems. By comparison, it is found that "optimizing electrolyzer design to improve energy efficiency" is the most compatible with the first direction in the preliminary plan, so it is selected as the first strategy. Then, based on technical feasibility, cost-effectiveness, market conditions, policy support, etc., the probability of execution of the first strategy in the plant is evaluated. Through detailed analysis, the execution probability of the first strategy is evaluated as 80%, which indicates that under the current conditions, the strategy has a high probability of successful implementation. Based on the 80% execution probability, this strategy is considered to be sufficiently feasible. Therefore, "optimizing electrolyzer design to improve energy efficiency" is determined as the target strategy for emission reduction of photovoltaic hydrogen production system. According to the preliminary emission reduction plan generated by environmental load assessment and carbon emission calculation, combined with the matching of strategy database and the evaluation of execution probability, the selection and implementation of emission reduction strategy of photovoltaic hydrogen production system are effectively guided. Based on the above process, not only the scientificity and feasibility of the strategy are ensured, but also the dual improvement of environmental and economic benefits is promoted, which is of great significance to promoting the sustainable development of clean energy technology. At the same time, this process also reflects the flexibility of strategy selection, and can dynamically adjust the strategy according to the execution probability to ensure the successful implementation of the project.

[0042] In an exemplary embodiment, whether to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced is determined based on the execution probability, including: when the execution probability is greater than or equal to a preset probability threshold, determining the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced; when the execution probability is less than the preset probability threshold, prohibiting the first strategy from being determined as the target emission reduction strategy for the photovoltaic system to be reduced, and re-matching the emission reduction strategy corresponding to the preliminary emission reduction plan.

[0043] Optionally, if a factory has identified two preliminary emission reduction plans: Plan A, reducing energy consumption by optimizing the process of hydrogen production by electrolysis of water; Plan B, improving the material production process and using materials with low environmental impact to reduce carbon emissions. For preliminary plan A, the strategy database matches "high-efficiency electrolysis catalyst upgrade", with an execution probability assessment of 80%; for preliminary plan B, it matches "bio-based material substitution", with an execution probability assessment of 60%. The factory sets a preset threshold of execution probability of 75%. Since the execution probability is 80%, which is higher than the preset threshold of 75%, "high-efficiency electrolysis catalyst upgrade" is determined as the factory's target emission reduction strategy. Since the execution probability is 60%, which is lower than the preset threshold of 75%, the factory decides not to use it as a target strategy. In order to find an alternative, the factory re-matches preliminary emission reduction plan B and finally selects "photovoltaic panel recycling technology", with an execution probability assessment of 78%, which meets the preset threshold. By setting the execution probability threshold and determining the target emission reduction strategy based on this threshold, the photovoltaic hydrogen production plant successfully screened out the most feasible strategy, achieved the energy conservation and emission reduction goals, and ensured the rational use of resources and the success of the project. This process reflects the importance of scientific decision-making, risk management and continuous optimization, and provides a useful reference for the selection of emission reduction strategies for photovoltaic hydrogen production systems and broader fields.

[0044] Obviously, the embodiments described above are only some embodiments of the present application, not all embodiments. In order to better understand the above method, the above process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present application, specifically:

[0045] The optional embodiment of the present application provides a method for evaluating and optimizing the environmental performance of the photovoltaic hydrogen production system during its life cycle, so as to solve the problem that it is impossible to comprehensively evaluate the environmental protection effect of the photovoltaic system and improve the emission reduction of the photovoltaic system. The method combines life cycle assessment (LCA), refined carbon emission calculation, and strategy screening and optimization technology based on execution probability. By accurately defining the system boundaries, the system identifies and quantifies the environmental impact of the photovoltaic hydrogen production system throughout its life cycle, and uses standardized assessment methods to conduct scientific analysis of environmental loads. At the same time, by collecting energy consumption and carbon emission data at each stage of the system, the total carbon emissions throughout the life cycle are calculated, and sensitivity analysis is performed to identify key areas of emission reduction. Thus, a feasible emission reduction strategy is formulated, including improving the photovoltaic panel photoelectric conversion efficiency, optimizing the water electrolysis process, using environmentally friendly materials, intelligent energy management, and waste heat recovery, etc., to ensure that the implementation of the strategy can not only significantly reduce the impact of the system on the environment, but also have a high probability of successful execution, thereby achieving the optimization of the environmental performance and sustainable development of the photovoltaic hydrogen production system, and providing strong technical support for promoting the global green energy transformation.

[0046] Optional, Figure 3This is a logic diagram of a photovoltaic hydrogen production system life cycle environmental performance evaluation and optimization scheme according to an embodiment of the present application, which can be performed by the following steps:

[0047] Step 1: Data collection and evaluation. In this stage, the key data of the photovoltaic hydrogen production system throughout its entire life cycle, from raw material mining, production and manufacturing, transportation and installation, operation and maintenance to scrapping and recycling, is comprehensively collected, including energy consumption, greenhouse gas emissions, water resource consumption, land use and waste generation. The collected data is imported into the two core evaluation links of "Life Cycle Assessment (LCA)" and "Carbon Emission Calculation". The details are as follows:

[0048] Step 1: Life Cycle Assessment (LCA). It includes the following steps:

[0049] Step 1: Define the system boundaries. Clarify the life cycle of the photovoltaic hydrogen production system, including raw material mining, production and manufacturing, transportation and installation, operation and maintenance, and scrap recycling.

[0050] Step 2: Identification of environmental impacts. Identify and quantify the potential impacts of the system on the environment throughout its life cycle, including but not limited to energy consumption, greenhouse gas emissions, water consumption, land occupation, waste generation, etc.

[0051] Step 3: Environmental impact assessment: Use standardized methods to assess the identified environmental impacts and compare the environmental loads of different options or materials.

[0052] Step 4: Interpretation of results and improvement suggestions: Based on the evaluation results, put forward targeted improvement suggestions to optimize the system design, production and use process and reduce environmental impact.

[0053] Step 2: Carbon emission calculation. Specifically includes the following steps:

[0054] Step 1: Data collection. Collect energy consumption data and fuel consumption data of each stage of the photovoltaic hydrogen production system to ensure the accuracy and completeness of the data.

[0055] Step 2: Determine emission factors: Determine the carbon emission factors for each energy source and material based on the internationally recognized emission factor database or the actual situation in a specific region.

[0056] Step 3: Emissions calculation: Using the collected data and the determined emission factors, calculate the total carbon emissions of the system over its entire life cycle.

[0057] Step 4: Sensitivity analysis: Analyze the impact of different parameters (such as energy efficiency, material selection, etc.) on carbon emissions and identify emission reduction potential.

[0058] Step 2: Strategy formulation. After completing the initial assessment, enter the "Emission Reduction Strategy Formulation" stage and formulate a series of strategies to improve the environmental performance of the system based on the assessment results. These strategies include but are not limited to: "Technology Optimization", "Material Selection", "Energy Management", "Waste Heat Recovery" and "Waste Treatment".

[0059] Step 3: Strategy implementation and optimization cycle. All the formulated emission reduction strategies are gathered in the "optimization strategy implementation" stage, and corresponding measures are implemented according to different strategies, including:

[0060] (1) Technology optimization: Improve the photoelectric conversion efficiency of photovoltaic panels, optimize the water electrolysis hydrogen production process, and reduce energy consumption and emissions.

[0061] (2) Material selection: Select materials with low environmental impact, such as recyclable, biodegradable or low-energy production materials, to reduce resource consumption and waste generation.

[0062] (3) Energy management: Implement an intelligent energy management system to adjust the angle and power generation of photovoltaic panels based on real-time meteorological data to maximize energy utilization.

[0063] (4) Waste heat recovery: Utilize the waste heat generated during the hydrogen production process for heating, hot water supply, etc., to improve the comprehensive energy utilization efficiency.

[0064] (5) Waste disposal: Establish a standardized waste disposal mechanism to ensure that waste is properly handled and reduce environmental pollution.

[0065] It should be noted that the system boundary should include the entire life cycle of the photovoltaic hydrogen production system from raw material extraction to scrapping to ensure the comprehensiveness of the assessment. Too narrow or too wide a boundary will affect the accuracy of the assessment. Therefore, it is necessary to scientifically determine the boundary based on the specific characteristics of the system and the purpose of the assessment. In the calculation of carbon emissions, the selection and determination of emission factors are crucial. The accuracy of emission factors should be ensured by referring to international databases or region-specific data, while taking into account changes in the energy structure and the application of carbon capture technology, and updating emission factors in a timely manner. In addition, when formulating emission reduction strategies, it is necessary not only to consider technical feasibility, but also to evaluate the probability of its implementation in actual operation, including economic costs, policy environment, and technological maturity. Select strategies that can significantly reduce environmental impacts and ensure a high probability of implementation to improve implementation efficiency and effectiveness.

[0066] In summary, the optional embodiments of the present application establish a comprehensive evaluation framework covering photovoltaic cell efficiency, water electrolysis hydrogen production energy efficiency and environmental impact throughout the life cycle. This framework can comprehensively and systematically evaluate the environmental performance of photovoltaic hydrogen production systems, providing a scientific basis for subsequent optimization. Based on the results of environmental performance evaluation, customized optimization strategies are proposed. These strategies not only optimize the specific problems of photovoltaic cells and water electrolysis hydrogen production technology, but also consider the overall energy efficiency improvement and carbon emission reduction of the system, achieving comprehensive optimization from local to overall. In addition, the accurate calculation of carbon emissions during the life cycle of the photovoltaic hydrogen production system is also realized, and specific emission reduction strategies are formulated accordingly. These strategies not only control carbon emissions during the operation of the system, but also consider the emission reduction potential of material production, scrapping and other links, providing strong support for the improvement of the environmental performance of the system. Through the technical solution of this application, the environmental impact of the photovoltaic hydrogen production system can be systematically evaluated, the emission reduction potential can be identified, and corresponding emission reduction strategies can be formulated. This not only helps to improve the environmental performance of the photovoltaic hydrogen production system and reduce the environmental load during its life cycle, but also provides strong support for the development of green energy in arid areas. At the same time, this method also has a certain universality and can be extended to the environmental performance evaluation and optimization of other clean energy systems.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0068] In this embodiment, a device for determining an emission reduction strategy is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0069] Figure 4 : is a structural block diagram of a device for determining an emission reduction strategy according to an embodiment of the present application, the device comprising:

[0070] A collection module 42 is used to collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during the actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data;

[0071] The processing module 44 is used to perform environmental impact assessment processing on the environmental data to obtain a first result, and to perform carbon emission calculation processing on the environmental data to obtain a second result;

[0072] The generating module 46 is configured to generate a target emission reduction strategy for the photovoltaic system to be reduced in accordance with the first result and / or the second result.

[0073] The above-mentioned device collects environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operating life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; performs environmental impact assessment processing on the environmental data to obtain a first result, and performs carbon emission calculation processing on the environmental data to obtain a second result; and generates a target emission reduction strategy for the photovoltaic system to be reduced based on the first result and / or the second result. The above-mentioned technical solution solves the problem of being unable to fully evaluate the environmental protection effect of the photovoltaic system and improve the emission reduction of the photovoltaic system. Furthermore, by collecting the environmental impact data during the life cycle of the photovoltaic system, evaluating its environmental impact and carbon emissions, an effective emission reduction strategy is formulated to optimize the environmental performance of the system.

[0074] In an exemplary embodiment, the processing module is further used to classify environmental data according to predefined impact categories to obtain multiple data sets; and to perform quantization processing on each set in the data set according to the corresponding relationship in the quantization standard database to obtain a first result.

[0075] In an exemplary embodiment, the above-mentioned processing module is also used to obtain the carbon emission factor corresponding to each type of impact data in the environmental data from a preset emission factor database; wherein the preset emission factor database includes: a first correspondence between multiple groups of emission factors and energy, and a second correspondence between multiple groups of emission factors and materials; calculate the total carbon emissions of the photovoltaic system to be reduced based on the environmental data and the carbon emission factors; and determine the second result based on the total carbon emissions.

[0076] In an exemplary embodiment, the above-mentioned device also includes an analysis module, which is used to perform an environmental impact assessment on the environmental data to obtain a first result, and to perform a carbon emission calculation on the environmental data. After obtaining a second result, the first result is analyzed to identify the sub-operation cycle of the photovoltaic system to be reduced that has the greatest impact on the environmental load in the first result; the second result is analyzed to identify the data type in the second result that has the greatest impact on the calculated value of the total carbon emissions, wherein the data type corresponds to at least one of the influencing data; and a preliminary emission reduction plan is generated based on the sub-operation cycle and the data type.

[0077] In an exemplary embodiment, the above-mentioned generation module is also used to obtain a preliminary emission reduction plan generated according to the first result and the second result; according to the preliminary emission reduction plan, search for a matching emission reduction strategy from a strategy database associated with the photovoltaic system to obtain a first strategy; determine the execution probability of the first strategy in the photovoltaic system to be reduced; and determine whether to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced based on the execution probability.

[0078] In an exemplary embodiment, the above-mentioned generation module is also used to determine that the first strategy is determined as the target emission reduction strategy for the photovoltaic system to be reduced when the execution probability is greater than or equal to a preset probability threshold; when the execution probability is less than the preset probability threshold, it is prohibited to determine the first strategy as the target emission reduction strategy for the photovoltaic system to be reduced, and to re-match the emission reduction strategy corresponding to the preliminary emission reduction plan.

[0079] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0080] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0081] S1. Collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data;

[0082] S2, performing an environmental impact assessment process on the environmental data to obtain a first result, and performing a carbon emission calculation process on the environmental data to obtain a second result;

[0083] S3. Generate a target emission reduction strategy for the photovoltaic system to be reduced according to the first result and / or the second result.

[0084] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0085] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0086] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps in any one of the above method embodiments are performed.

[0087] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0088] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0089] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0090] S1. Collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data;

[0091] S2, performing an environmental impact assessment process on the environmental data to obtain a first result, and performing a carbon emission calculation process on the environmental data to obtain a second result;

[0092] S3. Generate a target emission reduction strategy for the photovoltaic system to be reduced according to the first result and / or the second result.

[0093] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0094] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0095] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0096] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining an emission reduction strategy, characterized in that: include: Collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; Performing environmental impact assessment processing on the environmental data to obtain a first result, and performing carbon emission calculation processing on the environmental data to obtain a second result; A target emission reduction strategy for the photovoltaic system to be reduced is generated according to the first result and / or the second result.

2. The method according to claim 1, characterized in that: Performing environmental impact assessment processing on the environmental data to obtain a first result includes: The environmental data is classified according to predefined impact categories to obtain multiple data sets; each set in the data sets is quantified according to the corresponding relationship in the quantification standard database to obtain the first result.

3. The method according to claim 1, characterized in that The environmental data is processed by carbon emission calculation to obtain a second result, including: Obtaining the carbon emission factor corresponding to each type of impact data in the environmental data from a preset emission factor database; wherein the preset emission factor database includes: a first correspondence relationship between multiple groups of emission factors and energy, and a second correspondence relationship between multiple groups of emission factors and materials; Calculate the total carbon emissions of the photovoltaic system to be reduced based on the environmental data and the carbon emission factor; The second result is determined according to the total carbon emissions.

4. The method according to claim 1, characterized in that: After performing environmental impact assessment processing on the environmental data to obtain a first result, and performing carbon emission calculation processing on the environmental data to obtain a second result, the method further includes: Analyze the first result, and identify the sub-operation cycle of the photovoltaic system to be reduced that has the greatest impact on the environmental load in the first result; parsing the second result, identifying a data type in the second result that has the greatest impact on the calculated value of the total carbon emissions, wherein the data type corresponds to at least one of the impact data; A preliminary emission reduction plan is generated according to the sub-operation period and the data type.

5. The method according to claim 1, characterized in that Generating a target emission reduction strategy for the photovoltaic system to be reduced according to the first result and / or the second result includes: Obtaining a preliminary emission reduction plan generated according to the first result and the second result; According to the preliminary emission reduction plan, searching for a matching emission reduction strategy from a strategy database associated with the photovoltaic system to obtain a first strategy; Determine the execution probability of the first strategy in the photovoltaic system to be reduced; Based on the execution probability, it is determined whether to determine the first strategy as a target emission reduction strategy for the photovoltaic system to be emission reduced.

6. The method according to claim 5, characterized in that Determining whether to determine the first strategy as a target emission reduction strategy for the photovoltaic system to be reduced in emission based on the execution probability includes: In a case where the execution probability is greater than or equal to a preset probability threshold, determining the first strategy as a target emission reduction strategy for the photovoltaic system to be reduced in emission; When the execution probability is less than a preset probability threshold, it is prohibited to determine the first strategy as the target emission reduction strategy of the photovoltaic system to be reduced, and the emission reduction strategy corresponding to the preliminary emission reduction plan is re-matched.

7. A device for determining an emission reduction strategy, characterized in that: include: A collection module, used to collect environmental data corresponding to the photovoltaic system to be reduced, wherein the environmental data is the impact data of the photovoltaic system to be reduced on the environment during its actual operation life cycle, and the impact data includes at least one of the following: energy consumption data, greenhouse gas emission data, water resource consumption data, land occupation data, and waste generation data; A processing module, configured to perform an environmental impact assessment process on the environmental data to obtain a first result, and to perform a carbon emission calculation process on the environmental data to obtain a second result; A generating module is used to generate a target emission reduction strategy for the photovoltaic system to be reduced according to the first result and / or the second result.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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