A method and system for solving a structural optimization model of offshore renewable energy development

Abstract

The application discloses an offshore renewable energy development evaluation method and system, which comprises the following steps: determining a renewable energy development structure optimization model; determining a non-renewable energy development structure optimization model; respectively calculating the solving results of the renewable energy development structure optimization model and the non-renewable energy development structure optimization model; comparing and analyzing the solving results of the models to establish a mathematical programming model of offshore renewable energy development structure optimization, and solving the model. Through the offshore renewable energy development structure optimization model, the energy utilization efficiency can be improved, the cost can be reduced, the system reliability and safety can be improved, the technical innovation and standardization can be promoted, and the environmental and social benefits can be enhanced.

Description

Technical Field

[0001] This invention relates to the field of model solving technology, and in particular to a method and system for solving a structural optimization model for offshore renewable energy development. Background Technology

[0002] The energy development structure ratio is a crucial issue for its optimization. This paper analyzes the economic and environmental constraints that need to be considered in the structural optimization of offshore renewable energy and non-renewable energy development, and proposes a comprehensive evaluation method for offshore renewable energy development. The comprehensive evaluation score after data standardization reflects the development prospects of various offshore renewable energy sources; those with higher evaluation scores have greater future development prospects. The problem to be solved by our optimization model is to quantitatively determine the specific development ratios of various offshore renewable energy sources with different development prospects, and to maximize the combined evaluation score of future offshore renewable energy development under the control of various constraints.

[0003] The structural optimization of offshore renewable energy is a type of energy structure optimization. When studying the structural optimization of offshore renewable energy, the structural proportions of all energy sources must be considered. Summary of the Invention

[0004] The present invention aims to at least partially solve one of the technical problems in the related art.

[0005] To address this, a solution method for a structural optimization model of offshore renewable energy development was designed. This method aims to improve energy efficiency and reduce construction and operating costs through detailed resource assessments and environmental analyses, selecting the most suitable sea areas for construction, and avoiding high-risk areas (such as geologically unstable or ecologically sensitive zones), thereby reducing construction difficulty and costs.

[0006] To achieve the above objectives, another aspect of the present invention proposes a solution system for a structural optimization model of offshore renewable energy development.

[0007] To achieve the above objectives, this invention proposes a method for solving a structural optimization model for offshore renewable energy development, comprising:

[0008] Determine the structural optimization model for renewable energy development;

[0009] Determine the structural optimization model for non-renewable energy development;

[0010] Calculate the solution results for the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development, respectively;

[0011] The solution results of the comparative analysis model are used to establish a mathematical programming model for structural optimization of offshore renewable energy development, and then the model is solved.

[0012] The solution method for the structural optimization model of offshore renewable energy development in this embodiment of the invention may also have the following additional technical features:

[0013] In one embodiment of the present invention, a structural optimization model for renewable energy development is provided:

[0014] Objective function:

[0015]

[0016] Where h ke For the overall benefits of a renewable energy portfolio; w i Quota weights for different renewable energy development projects; E i The comprehensive evaluation score for the development of different renewable energy sources; n represents the type of renewable energy studied.

[0017] In one embodiment of the present invention,

[0018] Constraints:

[0019] (1) The sum of the weighting ratios of various renewable energy developments equals 1:

[0020]

[0021] (2) Technological constraints:

[0022]

[0023] in, Standardized data results on the future energy conversion efficiency of different renewable energy sources;

[0024] Standardized results of current energy conversion efficiency data for different renewable energy sources; Standardized data results on the future technological maturity of different renewable energy sources; Standardized results of data on the current technological maturity of different renewable energy sources;

[0025] (3) Economic constraints:

[0026]

[0027] in: Standardized results of data on the future generation costs of different renewable energy sources; Standardized results of current generation cost data for different renewable energy sources; Standardized data results for the future installed capacity of different renewable energy sources; Standardized results of current installed capacity data for different renewable energy sources;

[0028] (4) Resource constraints:

[0029]

[0030] in: Standardized results of data on the future exploitability of different renewable energy sources. Standardized results of data on the current exploitable quantities of different renewable energy sources;

[0031] (5) Environmental constraints:

[0032]

[0033] in, The data standardization results for future CO2 emissions from renewable energy sources Standardized results of current CO2 emissions data from different renewable energy sources. Standardized results of data on other environmental impacts of different renewable energy sources in the future. Standardized results of data on other current environmental impacts of different renewable energy sources;

[0034] (6) Safety constraints:

[0035]

[0036] Standardized data results on the future design life of different renewable energy power generation installations;

[0037] Standardized data results for the current design life of different renewable energy power generation installations; Standardized data results on the future safety and reliability of different renewable energy power generation methods; Standardized results of current safety and reliability data for different renewable energy generation methods.

[0038] In one embodiment of the present invention, the structural optimization model for non-renewable energy development has the same structure as the structural optimization model for renewable energy development.

[0039] To achieve the above objectives, a solution system for a structural optimization model of offshore renewable energy development is proposed in a second aspect of this application, comprising:

[0040] The renewable energy model determination module is used to determine the structural optimization model for renewable energy development;

[0041] The non-renewable model determination module is used to determine the structural optimization model for the development of non-renewable energy sources;

[0042] The model result comparison and analysis module is used to calculate the solution results of the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development, respectively.

[0043] The offshore model construction and solution module is used to compare and analyze the solution results of the model in order to establish a mathematical programming model for structural optimization of offshore renewable energy development and to solve it.

[0044] The solution method and system for the structural optimization model of offshore renewable energy development in this invention can significantly improve energy utilization efficiency, reduce costs, and enhance system reliability and safety by constructing such a model. Simultaneously, it promotes technological innovation and standardization, enhances environmental and social benefits, and gains policy and market support. These technological effects not only improve the economic benefits of projects but also promote the sustainable development of the entire industry.

[0045] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0046] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0047] Figure 1 This is a flowchart of a method for solving a structural optimization model for offshore renewable energy development according to an embodiment of the present invention.

[0048] Figure 2 This is a schematic diagram of the solution system for a structural optimization model of offshore renewable energy development according to an embodiment of the present invention. Detailed Implementation

[0049] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0050] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0051] The following describes, with reference to the accompanying drawings, a method for solving a structural optimization model for offshore renewable energy development according to an embodiment of the present invention.

[0052] Figure 1 This is a flowchart illustrating a method for solving a structural optimization model for offshore renewable energy development according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes:

[0053] S1, determine the structural optimization model for renewable energy development;

[0054] S2, determine the structural optimization model for non-renewable energy development;

[0055] S3, calculate the solution results of the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development respectively;

[0056] S4. Compare and analyze the solution results of the model to establish a mathematical programming model for structural optimization of offshore renewable energy development, and solve it.

[0057] Understandably, the current energy production and consumption structure is mainly based on non-renewable energy sources such as thermal power. To meet the ever-increasing energy demand in the future, there are two options: one is to continue with a supply structure dominated by thermal power, but this will face a series of problems such as environmental pollution during coal production and utilization, and transportation pressure from coal transport; the other is to shift to a high-quality, diversified energy supply route, with nuclear energy and renewable energy as the main alternative energy sources, gradually establishing an efficient, clean, and sustainable energy system. However, this will face a series of obstacles related to technology, cost, and safety. Energy structure optimization, under certain economic and technological conditions, aims to determine the reasonable development ratio of various energy sources to achieve the optimal comprehensive benefits in terms of economy, environment, and resources.

[0058] Optimizing the renewable energy development structure requires considering not only the energy demand for sustainable economic development but also a series of objective constraints faced in the actual development of renewable energy. Based on the energy 3E (Economy-Energy-Environment) development concept, constraints such as energy conversion efficiency, technology maturity, power generation cost, installed capacity, exploitable resources, CO2 emissions, other environmental impacts, design life, and safety and reliability are considered to maximize the comprehensive benefits of the renewable energy mix. The constraints are based on the standardized values ​​of indicators in the baseline year, ensuring that the weighted sum of indicator factors in future years is not less than the current average value.

[0059] For non-renewable energy, the optimization objective is to maximize the combined results of the comprehensive evaluation of non-renewable energy development. This involves incorporating constraints considered in the evaluation index system for non-renewable energy development, such as energy conversion efficiency, technology maturity, power generation cost, installed capacity, CO2 emissions, other pollutant emissions, design life, and safety and reliability. The goal is to maximize the overall benefits of the non-renewable energy combination and establish a corresponding linear mathematical programming model. The constraints are based on the standardized values ​​of each indicator in the base year, and the weighted sum of the constraint factors is no less than the current average value of the indicators.

[0060] Structural optimization model for renewable energy development:

[0061] Objective function:

[0062]

[0063] Where h ke For the overall benefits of a renewable energy portfolio; w i Quota weights for different renewable energy development projects; E i The comprehensive evaluation score for the development of different renewable energy sources; n represents the type of renewable energy studied.

[0064] 3. The method according to claim 2, characterized in that,

[0065] Constraints:

[0066] (1) The sum of the weighting ratios of various renewable energy developments equals 1:

[0067]

[0068] (2) The development of renewable energy will inevitably lead to an improvement in energy conversion efficiency and technological maturity. The energy conversion efficiency and technological maturity of the optimized future combination of renewable energy will be greater than or equal to the current average level. Technological constraints:

[0069]

[0070] in, Standardized data results on the future energy conversion efficiency of different renewable energy sources;

[0071] Standardized results of current energy conversion efficiency data for different renewable energy sources; Standardized data results on the future technological maturity of different renewable energy sources; Standardized results of data on the current technological maturity of different renewable energy sources;

[0072] (3) The development of renewable energy will inevitably lead to a reduction in power generation costs and an increase in installed capacity. The future combined cost of optimized renewable energy is less than or equal to the current average cost, and the future combined installed capacity of renewable energy is greater than or equal to the current average level. Economic constraints:

[0073]

[0074] in: Standardized results of data on the future generation costs of different renewable energy sources; Standardized results of current generation cost data for different renewable energy sources; Standardized data results for the future installed capacity of different renewable energy sources; Standardized results of current installed capacity data for different renewable energy sources;

[0075] (4) The development of renewable energy will inevitably lead to an increase in exploitable resources. The average exploitable resources achieved by the optimized renewable energy development structure combination are higher than the average level of the current combination contribution: resource constraints:

[0076]

[0077] in: Standardized results of data on the future exploitability of different renewable energy sources. Standardized results of data on the current exploitable quantities of different renewable energy sources;

[0078] (5) Energy development will inevitably place greater emphasis on carbon emission reduction and environmental impact. The total CO2 emissions and other environmental impacts of the optimized future renewable energy mix are below the average levels of existing renewable energy CO2 emissions and other environmental impacts: Environmental constraints:

[0079]

[0080] in, The data standardization results for future CO2 emissions from renewable energy sources Standardized results of current CO2 emissions data from different renewable energy sources. Standardized results of data on other environmental impacts of different renewable energy sources in the future. Standardized results of data on other current environmental impacts of different renewable energy sources.

[0081] (6) Energy development will inevitably lead to an improvement in the design life and safety reliability of renewable energy generator sets and equipment. The design life and safety reliability of the optimized future combination of renewable energy are above the average level of the existing renewable energy design life and safety reliability. Safety constraints:

[0082]

[0083] Standardized data results on the future design life of different renewable energy power generation installations; Standardized data results for the current design life of different renewable energy power generation installations; Standardized data results on the future safety and reliability of different renewable energy power generation methods; Standardized results of current safety and reliability data for different renewable energy generation methods.

[0084] The establishment of structural optimization models for non-renewable energy development is similar to that for renewable energy.

[0085] Furthermore, the mathematical optimization techniques of IBM ILOG CPLEX, an operations research and optimization software, enable better decisions regarding the efficient use of resources. It represents complex business problems as mathematical programming models, and its advanced optimization algorithms can quickly find solutions to these models. It has solved problems with tens of thousands of constraints and variables and continues to set new performance standards for mathematical programming software. Today, over 1,000 universities, more than 1,000 companies, and government agencies are using ILOG CPLEX. It also provides flexible, high-performance optimization programs, primarily solving five types of problems: linear programming, quadratic programming, quadratically constrained programming, and mixed integer programming.

[0086] The mathematical programming model of this invention is a linear programming model of the first kind, and the software version used is IBM ILOGCPLEX Optimization Studio V12.2.

[0087] The solution method for the structural optimization model of offshore renewable energy development according to embodiments of the present invention can significantly improve energy utilization efficiency, reduce costs, and enhance system reliability and safety by constructing such a model. Simultaneously, it promotes technological innovation and standardization, enhances environmental and social benefits, and gains policy and market support. These technological effects not only improve the economic benefits of projects but also promote the sustainable development of the entire industry.

[0088] like Figure 2 As shown, the present invention also proposes a solution system 10 for a structural optimization model of offshore renewable energy development, comprising:

[0089] Renewable model determination module 100 is used to determine the structural optimization model for renewable energy development;

[0090] Non-renewable model determination module 200 is used to determine the structural optimization model for the development of non-renewable energy sources;

[0091] The model result comparison and analysis module 300 is used to calculate the solution results of the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development, respectively.

[0092] The offshore model construction and solution module 400 is used to compare and analyze the solution results of the model to establish a mathematical programming model for structural optimization of offshore renewable energy development, and then solve it.

[0093] Furthermore, a structural optimization model for renewable energy development:

[0094] Objective function:

[0095]

[0096] Where h ke For the overall benefits of a renewable energy portfolio; w i Quota weights for different renewable energy development projects; E i The comprehensive evaluation score for the development of different renewable energy sources; n represents the type of renewable energy studied.

[0097] Furthermore, the constraints are:

[0098] (1) The sum of the weighting ratios of various renewable energy developments equals 1:

[0099]

[0100] (2) Technological constraints:

[0101]

[0102] in, Standardized data results on the future energy conversion efficiency of different renewable energy sources;

[0103] Standardized results of current energy conversion efficiency data for different renewable energy sources; Standardized data results on the future technological maturity of different renewable energy sources; Standardized results of data on the current technological maturity of different renewable energy sources;

[0104] (3) Economic constraints:

[0105]

[0106] in: Standardized results of data on the future generation costs of different renewable energy sources; Standardized results of current generation cost data for different renewable energy sources; Standardized data results for the future installed capacity of different renewable energy sources; Standardized results of current installed capacity data for different renewable energy sources;

[0107] (4) Resource constraints:

[0108]

[0109] in: Standardized results of data on the future exploitability of different renewable energy sources. Standardized results of data on the current exploitable quantities of different renewable energy sources;

[0110] (5) Environmental constraints:

[0111]

[0112] in, The data standardization results for future CO2 emissions from renewable energy sources Standardized results of current CO2 emissions data from different renewable energy sources. Standardized results of data on other environmental impacts of different renewable energy sources in the future. Standardized results of data on other current environmental impacts of different renewable energy sources.

[0113] (6) Safety constraints:

[0114]

[0115] Standardized data results on the future design life of different renewable energy power generation installations;

[0116] Standardized data results for the current design life of different renewable energy power generation installations; Standardized data results on the future safety and reliability of different renewable energy power generation methods; Standardized results of current safety and reliability data for different renewable energy generation methods.

[0117] Furthermore, the structural optimization model for non-renewable energy development has the same structure as the structural optimization model for renewable energy development.

[0118] The solution system for the structural optimization model of offshore renewable energy development according to embodiments of the present invention can significantly improve energy utilization efficiency, reduce costs, and enhance system reliability and safety by constructing such a model. Simultaneously, it promotes technological innovation and standardization, enhances environmental and social benefits, and gains policy and market support. These technological effects not only improve the economic benefits of projects but also promote the sustainable development of the entire industry.

[0119] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0120] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for solving a structural optimization model for offshore renewable energy development, characterized in that, include: Determine the structural optimization model for renewable energy development; Determine the structural optimization model for non-renewable energy development; Calculate the solution results for the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development, respectively; The solution results of the comparative analysis model are used to establish a mathematical programming model for structural optimization of offshore renewable energy development, and then the model is solved.

2. The method according to claim 1, characterized in that, Structural optimization model for renewable energy development: Objective function: Where h ke For the overall benefits of a renewable energy portfolio; w i Quota weights for different renewable energy development projects; E i The comprehensive evaluation score for the development of different renewable energy sources; n represents the type of renewable energy studied.

3. The method according to claim 2, characterized in that, Constraints: (1) The sum of the weighting ratios of various renewable energy developments equals 1: (2) Technological constraints: in, Standardized data results on the future energy conversion efficiency of different renewable energy sources; Standardized results of current energy conversion efficiency data for different renewable energy sources; Standardized data results on the future technological maturity of different renewable energy sources; Standardized results of data on the current technological maturity of different renewable energy sources; (3) Economic constraints: in: Standardized results of data on the future generation costs of different renewable energy sources; Standardized results of current generation cost data for different renewable energy sources; Standardized data results for the future installed capacity of different renewable energy sources; Standardized results of current installed capacity data for different renewable energy sources; (4) Resource constraints: in: Standardized results of data on the future exploitability of different renewable energy sources. Standardized results of data on the current exploitable quantities of different renewable energy sources; (5) Environmental constraints: in, The data standardization results for future CO2 emissions from renewable energy sources Standardized results of current CO2 emissions data from different renewable energy sources. Standardized results of data on other environmental impacts of different renewable energy sources in the future. Standardized results of data on other current environmental impacts of different renewable energy sources; (6) Safety constraints: Standardized data results on the future design life of different renewable energy power generation installations; Standardized data results for the current design life of different renewable energy power generation installations; Standardized data results on the future safety and reliability of different renewable energy power generation methods; Standardized results of current safety and reliability data for different renewable energy generation methods.

4. The method according to claim 3, characterized in that, The structural optimization model for non-renewable energy development has the same structure as the structural optimization model for renewable energy development.

5. A solution system for a structural optimization model of offshore renewable energy development, characterized in that, include: The renewable energy model determination module is used to determine the structural optimization model for renewable energy development; The non-renewable model determination module is used to determine the structural optimization model for the development of non-renewable energy sources; The model result comparison and analysis module is used to calculate the solution results of the structural optimization model for renewable energy development and the structural optimization model for non-renewable energy development, respectively. The offshore model construction and solution module is used to compare and analyze the solution results of the model in order to establish a mathematical programming model for structural optimization of offshore renewable energy development and to solve it.

6. The system according to claim 5, characterized in that, Structural optimization model for renewable energy development: Objective function: Where h ke For the overall benefits of a renewable energy portfolio; w i Quota weights for different renewable energy development projects; E i The comprehensive evaluation score for the development of different renewable energy sources; n represents the type of renewable energy studied.

7. The system according to claim 6, characterized in that, Constraints: (1) The sum of the weighting ratios of various renewable energy developments equals 1: (2) Technological constraints: in, Standardized data results on the future energy conversion efficiency of different renewable energy sources; Standardized results of current energy conversion efficiency data for different renewable energy sources; Standardized data results on the future technological maturity of different renewable energy sources; Standardized results of data on the current technological maturity of different renewable energy sources; (3) Economic constraints: in: Standardized results of data on the future generation costs of different renewable energy sources; Standardized results of current generation cost data for different renewable energy sources; Standardized data results for the future installed capacity of different renewable energy sources; Standardized results of current installed capacity data for different renewable energy sources; (4) Resource constraints: in: Standardized results of data on the future exploitability of different renewable energy sources. Standardized results of data on the current exploitable quantities of different renewable energy sources; (5) Environmental constraints: in, The data standardization results for future CO2 emissions from renewable energy sources Standardized results of current CO2 emissions data from different renewable energy sources. Standardized results of data on other environmental impacts of different renewable energy sources in the future. Standardized results of data on other current environmental impacts of different renewable energy sources; (6) Safety constraints: Standardized data results on the future design life of different renewable energy power generation installations; Standardized data results for the current design life of different renewable energy power generation installations; Standardized data results on the future safety and reliability of different renewable energy power generation methods; Standardized results of current safety and reliability data for different renewable energy generation methods.

8. The system according to claim 7, characterized in that, The structural optimization model for non-renewable energy development has the same structure as the structural optimization model for renewable energy development.

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