Floating type wind power-geothermal chemical energy storage integrated system based on ammonia water working medium

Abstract

The invention discloses a floating type wind power-terrestrial heat chemical energy storage integrated system based on an ammonia water working medium, and relates to the technical field of comprehensive utilization of ocean renewable energy sources, the system comprises a multi-source energy unit, a calculation unit, a multi-stage phase change heat management unit and an ocean environment protection unit; according to the deep and far sea environment characteristics, efficient integration and utilization of multiple renewable energy sources such as wind energy and geothermal energy are achieved through innovative system design and process optimization, and the technical problems that in the prior art, the energy storage density is low, the environmental adaptability is poor, and multi-energy cooperation is difficult are solved.

Description

Technical Field

[0001] This application relates to the field of marine renewable energy comprehensive utilization technology, and in particular to a floating wind power-geothermal chemical energy storage integrated system based on ammonia water working medium. Background Technology

[0002] As the global energy structure shifts towards renewable energy, energy development in deep-sea areas is receiving increasing attention. Offshore wind power, with its abundant resources and great development potential, has become a key development direction. However, its power output is significantly affected by wind speed variations, exhibiting obvious intermittent and fluctuating characteristics. This instability leads to difficulties in grid connection, especially under extreme weather conditions, posing a severe challenge to the operational reliability of wind power systems. At the same time, a single energy development model cannot achieve a continuous and stable power supply, limiting the improvement of overall energy utilization efficiency.

[0003] In terms of energy storage technology, existing solutions have many limitations in marine environments. Physical energy storage methods, such as compressed air energy storage, are highly dependent on geological conditions and are difficult to implement on offshore platforms; flywheel energy storage has limited energy retention time, making it difficult to meet long-term energy storage needs. Although electrochemical energy storage technology is relatively mature, it faces safety challenges and lifespan degradation issues in the high humidity and high salinity marine environment. Other energy conversion systems based on special working fluids are often structurally complex and difficult to maintain in deep-sea environments far from the coastline.

[0004] As a stable basic energy source, marine geothermal resources are currently primarily developed in onshore and near-shore areas. Deep-sea geothermal development faces technological bottlenecks such as high drilling requirements and stringent equipment reliability requirements. Subsea geothermal extraction must cope with the complex environment of high temperature and high pressure, and the transport and energy conversion efficiency of geothermal fluids are significantly affected by seawater environmental conditions.

[0005] Most existing multi-energy complementary systems adopt a simple physical superposition method, lacking deep coupling and synergistic optimization between different energy forms. This simple combination mode makes it difficult to fully utilize the complementary characteristics of resources such as wind energy and geothermal energy, resulting in the overall system efficiency failing to reach its optimal level.

[0006] Ammonia water as a working fluid shows application potential in the field of thermal energy storage and conversion due to its reversible decomposition-synthesis reaction characteristics. While it boasts advantages such as wide availability and environmental friendliness, its application in offshore wind-geothermal synergistic systems still faces numerous technical challenges, including the precise control of reaction conditions, the adaptability of catalysts to marine environments, and the dynamic response characteristics of the system—key technical issues that need to be resolved. Summary of the Invention

[0007] The purpose of this application is to provide a complete and mutually supportive technical system to systematically solve the challenges across the entire chain, from energy storage, environmental adaptation, multi-energy synergy, engineering integration to intelligent operation and maintenance. The aim is to build an efficient, reliable, economical, and environmentally friendly innovative paradigm for the development and utilization of deep-sea renewable energy, providing solid technical support and engineering demonstration for the large-scale development of marine blue energy.

[0008] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a floating wind power-geothermal chemical energy storage integrated system based on ammonia water as the working medium, the system comprising: Multi-source energy unit, computing unit, multi-stage phase change heat management unit, marine environmental protection unit; The multi-source energy units include: wind turbine generators, submarine geothermal heat extraction units, organic Rankine cycle power generation units, and ammonia water working fluid chemical energy storage circuits. The computing unit includes: a digital twin module and an optimized computing module; The multi-level phase change heat management unit includes: a high-temperature phase change management layer, a medium-temperature phase change management layer, a low-temperature phase change management layer, and a phase change heat decision layer; The marine environmental protection unit includes: a material matrix protection module, a structural design protection module, and a system operation and maintenance protection module.

[0009] Furthermore, the multi-source energy unit is also used for: Set up a wind turbine generator set based on an adaptive pitch system to obtain wind power output; Submarine geothermal heat extraction units are used to obtain medium- and low-temperature geothermal output; Ammonia water working fluid chemical energy storage circuit, used for multi-energy conversion; Organic Rankine cycle power generation units are used to generate electricity using reaction heat and geothermal energy.

[0010] Furthermore, the computing unit is also used for: The digital twin module is used to acquire real-time status data of multi-source energy units; Power response kinetics model and heat and mass transfer control equations are constructed respectively to output the heat load change trend by combining real-time state data of multi-source energy units; Optimize the computation module to combine the overall performance of the calculation system with various physical and engineering constraints: ; System overall performance indicators; For output power weighting; For stability weights; Economic weighting; Weighted by energy storage capacity; To optimize the start time of the time period; To optimize the end time of the time period; The net output power function is time-varying. This is a function of the standard deviation of power fluctuations; The time-varying operating cost function; The energy storage capacity function is a time-varying energy storage function; Combining the trend of heat load changes and the obtained maximum system comprehensive performance index Output the optimal control command.

[0011] Furthermore, the reaction kinetic model also includes: The rate equation for the decomposition of ammonia is: ; Refers to the preceding factor; It is activation energy. The gas constant is... Absolute temperature; This indicates the effect of reactant concentration. The reaction order is [number]. The term refers to the inhibitory effect of catalyst surface coverage on reaction rate; Ammonia synthesis reaction kinetic equation: ; and The effects of the partial pressures of ammonia and water vapor on the reaction rate are represented by β and γ, respectively, where β and γ are the corresponding reaction orders. The term represents the inhibitory effect on the reaction rate.

[0012] Furthermore, the heat and mass transfer control equations also include: Energy conservation equation within the reactor: ; This represents the unsteady-state term representing the change of temperature over time. Represents the convective heat transfer effect; It is a heat conduction term. The term representing the heat source produced by a chemical reaction. Includes contributions from all external heat sources; Component mass transport equations: ; It is the rate of change of component mass concentration over time. Indicates convective transport term. It is a diffusion transport term. It represents the rate of component formation or consumption resulting from a chemical reaction.

[0013] Furthermore, the trend of output heat load variation also includes: The reaction rate r is defined as the net reaction rate. Substituting this into the energy conservation equation to describe the transient change in the temperature field T, we obtain: ; Among them, the trend of heat load change is directly reflected in The symbol and size; Heat load quantification includes: calculating the system heat load based on the heat accumulation rate per unit time within the reactor. : ; Wherein, reactor volume V; ρ is reactor density; Specific heat capacity at constant pressure.

[0014] Furthermore, several physical and engineering constraints are as follows: ; ; ; ; This is an energy conservation constraint; used to describe transient heat conduction processes, where the rate of change of the temperature field with time is... Equal to the energy inflow caused by heat conduction Energy generated by internal heat source sum; Here, k is the Hamiltonian operator; k is the thermal conductivity; and T is the temperature. The mass conservation constraint is used to ensure that the net inflow rate of mass within the control volume is zero; ρ is the density of the control volume; v is the volume of the control volume. For structural strength constraints, the equivalent stress required by the material is... Less than or equal to yield strength divided by safety factor ; To constrain catalytic efficiency, catalyst efficiency Greater than or equal to the minimum catalyst efficiency .

[0015] Furthermore, the multi-stage phase change thermal management unit is also used for: The high-temperature layer is located on the outer layer of the ammonia synthesis reactor, and the temperature of the reaction core is regulated by the heat absorption and release of high-temperature phase change materials. The intermediate temperature layer is located between the high temperature layer and the low temperature layer. It guides the flow of heat through dynamic thermal management based on real-time monitoring of wind power generation, geothermal fluid temperature and system load demand. The low-temperature layer, located outside the intermediate-temperature layer, is designed to regulate the local ambient temperature around the platform based on the characteristics of low-temperature phase change materials to absorb or release latent heat during phase change. The thermal management unit is used to dynamically adjust the heat exchange strategy between the high-temperature layer, the medium-temperature layer, and the low-temperature layer by combining an intelligent performance evaluation system and control algorithms.

[0016] Furthermore, the intelligent performance evaluation system also includes: Comprehensive energy efficiency evaluation indicators : ; It is the rate of change of chemical energy; For wind energy; Geothermal energy; Heat is generated for the catalyst; Dynamic response performance metrics : ; To set the power; This refers to the actual power. Rated power; Based on comprehensive energy efficiency evaluation indicators and dynamic response performance indicators The heat exchange strategy between phase change materials at each stage is dynamically adjusted.

[0017] Furthermore, the marine environmental protection unit is also used for: The material matrix protection module is used to protect metal substrates from cracks by combining self-healing anti-corrosion coatings and intelligent catalytic material adaptation technology. The structural design protection module is used to protect the marine environment through physical barriers and flow guiding structures, and to protect marine organisms through electrochemical antifouling. The system operation and maintenance protection module is used to combine digital twins and clean loops for proactive protection within the system.

[0018] According to the specific embodiments provided in this application, this application has the following technical effects: 1. Ammonia-Based Chemical Energy Storage System: This system innovatively introduces ammonia as the working medium into the field of offshore renewable energy storage, establishing a complete chemical energy storage system. By precisely controlling the reversible reaction process of ammonia decomposition and synthesis, intelligent management of energy storage and release is achieved. This system fully utilizes the high energy density characteristics of chemical reactions, overcoming the limitations of traditional physical energy storage methods in terms of storage capacity and duration. A unique closed-loop design ensures efficient recycling of the working medium while avoiding environmental pollution risks. This chemical reaction-based energy storage approach provides a novel technological solution for the stable supply of offshore renewable energy.

[0019] 2. A multimodal phase change thermal management architecture innovatively constructs a three-tiered thermal management system for the collaborative operation of phase change materials. By scientifically configuring phase change materials in different temperature ranges, it achieves tiered storage and precise allocation of thermal energy. This architecture can automatically adjust the heat flow path according to the system's operating status, ensuring optimal utilization of thermal energy in each temperature range. Intelligent thermal management algorithms monitor the phase change material status in real time and dynamically adjust the thermal energy distribution strategy, significantly improving the overall thermal efficiency of the system. This multi-level thermal management solution effectively solves the technical challenges of large temperature fluctuations and difficult thermal management on offshore platforms.

[0020] 3. Marine Environment Adaptive Technology: A material system with intelligent response characteristics has been developed specifically for the unique marine environment. This includes catalytic materials that automatically adjust their activity according to environmental conditions, self-healing anti-corrosion coatings, and long-lasting anti-biofouling surface treatment technologies. These innovative materials can sense changes in the marine environment and autonomously adjust their performance parameters to ensure long-term stable operation of the system under harsh marine conditions. A specially designed protective system forms multiple protection mechanisms, effectively resisting typical marine environmental problems such as salt spray corrosion and marine biofouling, significantly improving the durability and reliability of the equipment.

[0021] 4. An intelligent collaborative control system has been constructed, establishing a multi-energy coordinated control system based on digital twin technology. Through high-precision modeling and real-time data fusion, intelligent and optimized scheduling of wind power, geothermal energy, and chemical energy storage has been achieved. Advanced model predictive control algorithms can proactively adjust system operating strategies to ensure the coordinated and efficient operation of each energy unit. The system possesses complete intelligent diagnostic and early warning functions, automatically identifying operational anomalies and initiating corresponding handling mechanisms. This intelligent system, integrating prediction, control, and diagnostics, significantly improves the automation level and operational reliability of the entire energy system.

[0022] 5. Modular integrated design: Employing an innovative modular architecture and compact equipment design, this solution perfectly addresses the system integration challenges posed by limited space on offshore platforms. Standardized interfaces and flexible connections enable rapid deployment and flexible expansion of each functional module. The unique compact reactor structure achieves maximum mass and heat transfer efficiency within a confined space while ensuring maintainability. This modular design not only simplifies installation and maintenance processes but also provides the system with excellent adaptability and scalability, meeting the needs of different scales and application scenarios. Attached Figure Description To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a diagram showing the overall architecture and energy flow path of an integrated system in one embodiment of this application; Figure 2 A diagram illustrating the multi-level phase change material thermal management structure used in a system provided in an embodiment of this application; Figure 3 This application provides an embodiment of the intelligent control architecture and information flow relationship diagram of the system. Figure 4 This is a schematic diagram of a modular layout scheme of a system provided in an embodiment of this application on a floating platform. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] This application provides a floating wind power-geothermal chemical energy storage integrated system based on ammonia water as the working medium, the system comprising: Multi-source energy unit, computing unit, multi-stage phase change heat management unit, marine environmental protection unit; The multi-source energy units include: wind turbine generators, submarine geothermal heat extraction units, organic Rankine cycle power generation units, and ammonia water working fluid chemical energy storage circuits. The computing unit includes: a digital twin module and an optimized computing module; The multi-level phase change heat management unit includes: a high-temperature phase change management layer, a medium-temperature phase change management layer, a low-temperature phase change management layer, and a phase change heat decision layer; The marine environmental protection unit includes: a material matrix protection module, a structural design protection module, and a system operation and maintenance protection module.

[0027] Furthermore, the multi-source energy unit is also used for: Set up a wind turbine generator set based on an adaptive pitch system to obtain wind power output; Submarine geothermal heat extraction units are used to obtain medium- and low-temperature geothermal output; Ammonia water working fluid chemical energy storage circuit, used for multi-energy conversion; Organic Rankine cycle power generation units are used to generate electricity using reaction heat and geothermal energy.

[0028] Specifically, this system constructs an integrated energy system with floating wind power as the core drive, deep-sea geothermal energy as the stable base load, and ammonia-water chemical energy storage as the core hub. Its innovation lies in solving a series of technical challenges arising from adding a geothermal chemical energy storage system to an existing offshore energy platform.

[0029] like Figure 1 The figure illustrates the overall architecture and energy flow path of the integrated system described in this invention. As shown, the system includes a floating wind power unit, a geothermal heat extraction unit, a chemical energy storage loop, and a power generation unit. The chemical energy storage loop includes an ammonia decomposition reactor, a gas-liquid separation device, a gas storage device, and an ammonia synthesis reactor. The figure clearly illustrates the coupling relationship between wind energy, geothermal energy, and chemical energy storage, as well as the circulation path of the working fluid within the system, demonstrating the complete process flow of energy input, storage, and output. The system mainly includes: (1) Floating wind turbine generator set, with a semi-submersible platform design and equipped with an adaptive pitch system to cope with severe sea conditions; (2) The submarine geothermal heat extraction unit extracts medium and low temperature geothermal energy from the submarine geothermal field at a flow rate of 60 m³ / h through a double U-shaped HDPE buried pipe heat exchanger that is resistant to high pressure and corrosion. (3) Ammonia working fluid chemical energy storage loop, which is the core of the system, including ammonia decomposition reactor, gas-liquid separation device, ammonia synthesis reactor and high-pressure storage tank; (4) Organic Rankine Cycle (ORC) power generation unit, which uses reaction heat and geothermal energy to generate electricity. The units do not operate independently, but are deeply coupled through an intelligent collaborative control system. For example, when wind power is abundant, the system uses excess electricity to drive the ammonia-water decomposition reaction, storing the energy as chemical energy in the mixture of ammonia and water. When wind power is insufficient, geothermal energy is used as a stable heat source to drive the ammonia synthesis reaction, releasing high-calorific-value energy. Buffer storage tanks are installed in the geothermal loop, and model predictive control (MPC) algorithms are used to adjust the energy distribution ratio in real time, ensuring continuous and stable power generation by the ORC units. This coupling mechanism fundamentally solves the intermittent nature of offshore wind energy.

[0030] Furthermore, the computing unit is also used for: The digital twin module is used to acquire real-time status data of multi-source energy units; Digital twin models can make high-precision predictions of the system's operating status in the next short period of time (such as the next 15 minutes) by collecting data points such as wind speed, seawater temperature, geothermal well temperature, reactor pressure, and catalyst activity in real time.

[0031] Optimization algorithms (such as Model Predictive Control, MPC) are based on this prediction to maximize With the function as the objective, the system continuously outputs optimal control commands, dynamically adjusting key operational variables such as wind turbine pitch angle, geothermal circulation pump speed, decomposer reactor heating power, and synthesis reactor inlet valve opening. This is based on the obtained maximum system comprehensive performance index. Output the optimal control command.

[0032] Power response kinetics model and heat and mass transfer control equations are constructed respectively to output the heat load change trend by combining real-time state data of multi-source energy units; Optimize the computation module to combine the overall performance of the calculation system with various physical and engineering constraints: ; System overall performance indicators; For output power weighting; For stability weights; Economic weighting; Weighted by energy storage capacity; To optimize the start time of the time period; To optimize the end time of the time period; The net output power function is time-varying. This is a function of the standard deviation of power fluctuations; The time-varying operating cost function; The energy storage capacity function is a time-varying energy storage function; Combining the trend of heat load changes and the obtained maximum system comprehensive performance index Output the optimal control command.

[0033] Net output power decomposition formula: ; This formula defines in detail how the net output power of the system is calculated. The efficiency of the organic Rankine cycle is represented by the running state vector. The function includes parameters such as temperature and pressure. and These represent the thermal power released by the synthesis reaction and the geothermal extraction power, respectively. This is a marine environment correction factor, dynamically calculated based on real-time wave height, seawater temperature, and other parameters, with a value ranging from 0.92 to 1.05. The summation term covers the power consumption of all compressors and pumps, which are the energy consumption of auxiliary equipment necessary for system operation.

[0034] Power fluctuation standard deviation function: ; This equation quantifies the degree of fluctuation in the system's net output power within a specific time window. This represents the width of the sliding time window used to calculate volatility. yes Instantaneous net output power at time t, Represents the current moment Time window , The average net output power within a certain range. The square, integral, and square root operations together characterize the dispersion of power around its average value; the smaller this value, the more stable the system output.

[0035] Dynamic correlation equation for operating costs: ; This equation describes the process by which operating costs accumulate over time. This indicates the unit electricity price. and Representing the time of all compressors and pumps respectively Total power consumption and These are the unit price of the catalyst and the total mass of the packing, respectively. It is the expected lifespan of the catalyst. and These are the unit price of the protective coating and the total construction area, respectively. This represents the expected effective lifespan of the coating. The integral calculation reflects the cumulative effect of operating costs over time and amortizes the capital expenditure on key materials as operating costs.

[0036] Dynamic equation for chemical energy storage capacity: ; This equation describes the process by which chemical energy storage capacity accumulates over time. Indicates the amount of ammonia that participated in the reaction. For the enthalpy change of the reaction, It is the energy storage efficiency factor. This represents the system's heat loss. Integral calculations reflect the cumulative effect of energy over time.

[0037] Optional, detailed reaction kinetic models include: The rate equation for the decomposition of ammonia is: ; This equation, based on the Arrhenius equation, describes the kinetics of the ammonia decomposition reaction. The exponential factor represents the theoretical maximum reaction rate at infinite temperature. (Exponential term) This demonstrates the effect of temperature on the reaction rate, among which It is activation energy. The gas constant is... This refers to absolute temperature. This indicates the effect of reactant concentration. denoted as the reaction order. The study considered the inhibitory effect of catalyst surface coverage on the reaction rate.

[0038] Ammonia synthesis reaction kinetic equation: ; This equation describes the kinetics of the synthesis reaction. Similar to the decomposition reaction, it includes an Arrhenius temperature dependence term. and The partial pressures of ammonia and water vapor, respectively, represent the effects of these pressures on the reaction rate, with β and γ being the corresponding reaction orders. The study considered the potential attenuating effect of inhibitors on the reaction rate.

[0039] Optional, the governing equations for heat and mass transfer include: Energy conservation equation within the reactor: ; This partial differential equation describes the energy conservation relationship within the reactor. The first term on the left... The second term represents the unsteady-state term indicating the change of temperature over time. This represents the convective heat transfer effect. The first term on the right. It is a heat conduction term. The term representing the heat source produced by a chemical reaction. Includes contributions from all external heat sources.

[0040] Component mass transport equations: ; This equation describes the conservation of mass for each component. It is the rate of change of component mass concentration over time. Indicates convective transport term. It is a diffusion transport term. It represents the rate of component formation or consumption resulting from a chemical reaction.

[0041] Construction of a model for predicting heat load variation trends: By coupling the above equations, a comprehensive partial differential equation system can be constructed to predict heat load variation trends. This model, centered on the reactor, considers boundary conditions for multiple energy inputs and phase change heat management. Comprehensive heat load prediction equation: The reaction rate r is defined as the net reaction rate (the algebraic sum of decomposition and synthesis, i.e.) Substituting this into the energy conservation equation, we get: ; This equation describes the transient change of the temperature field T, where the trend of heat load change is directly reflected in... The symbols and sizes. Items on the right. , , , This corresponds to the heat of heat conduction, convection, chemical reaction heat, and contributions from external heat sources. For effective thermal conductivity, For temperature gradient, For the enthalpy change of a chemical reaction, The rate of the ammonia synthesis reaction is given. The value represents the rate of the ammonia decomposition reaction.

[0042] Heat load quantification: System heat load It can be defined as the rate of heat accumulation per unit time within the reactor, i.e.: ; The integral pervades the reactor volume V. Combining the equation, Subject to reaction rate r, flow rate v and external heat source control.

[0043] Furthermore, several physical and engineering constraints are as follows: ; ; ; ; This is an energy conservation constraint; used to describe transient heat conduction processes, where the rate of change of the temperature field with time is... Equal to the energy inflow caused by heat conduction Energy generated by internal heat source sum; The Hamiltonian operator is a vector differential operator. It represents the temperature gradient (pointing to the direction of the fastest increase in temperature). Indicates heat flux divergence; Thermal conductivity is a physical parameter that measures a material's ability to conduct heat. Temperature is a physical quantity that characterizes the degree of hotness or coldness of an object.

[0044] The mass conservation constraint is used to ensure that the net inflow rate of mass within the control volume is zero; ρ is the density of the control volume; v is the volume of the control volume. The control unit is used for: calculating the conversion efficiency of a device (such as a reactor); locating potential leaks in the system; and for intelligent collaborative control systems (…). Figure 3 It provides quality flow data for key nodes to optimize algorithms.

[0045] The control volume partitioning process is as follows: Identify key equipment and flow paths based on the overall system architecture ( Figure 1 This involves identifying the main working fluid flow paths and key equipment. For example, the flow path of ammonia water as the working fluid might be: storage tank → pump → heat exchanger → reactor → separator → storage tank. Each piece of equipment represents a potential control volume partitioning node.

[0046] Define the control volume boundary; the boundary should be set at: Examples of suitable locations include flange connections in pipelines and inlet / outlet valves in equipment. These locations typically have sensors (pressure meters, flow meters) to facilitate the acquisition of boundary condition data. Other examples include locations where pipe diameter changes, flow direction changes (elbows), or working fluid phase changes (gas-liquid separators). To simplify calculations, boundaries should ideally be planar or regular curved surfaces.

[0047] The scale and hierarchy of the control volume are determined. The control volume can be divided into different levels according to scale, forming an analytical network from macro to micro: the entire platform is treated as a large control volume, analyzing the overall mass inputs (such as replenished fresh working fluid) and outputs (such as possible trace emissions). Each functional module (such as a wind power generation unit, a geothermal heat extraction unit, or a chemical energy storage loop) is divided into an independent control volume. The interior of individual complex devices (such as an ammonia synthesis reactor) is further subdivided. For example, the reactor interior can be further divided into "catalyst bed control volume," "preheating zone control volume," etc., for more refined kinetic and heat / mass transfer analysis.

[0048] Define the boundary conditions. At the boundary of each control volume, the input and output of mass flow rate need to be clearly defined. This includes: the flow rate set by the pump or compressor; the flow rate that needs to be solved according to the mass conservation equation; and the boundary being a solid wall where the mass flow rate is zero (no permeation).

[0049] For structural strength constraints, the equivalent stress required by the material is... Less than or equal to yield strength divided by safety factor ; To constrain catalytic efficiency, catalyst efficiency Greater than or equal to the minimum catalyst efficiency .

[0050] The handling of constraints (g1-g4) is the innovation of this application; the system uses the penalty function method to transform constrained optimization into an unconstrained optimization problem.

[0051] For example, when it is predicted that the catalyst efficiency may be lower than the minimum value η min In this case, the optimization algorithm will increase the compensation term in advance and avoid efficiency violations by adjusting the reaction temperature or pressure, thereby ensuring that the system always operates within the safe and efficient design window. This is an intelligent preventive control that has not been achieved by existing technology.

[0052] Furthermore, the multi-stage phase change thermal management unit constructs an adaptive intelligent thermal management system based on the principles of energy cascade utilization and dynamic thermal matching. This system is used to address the severe impact of large temperature fluctuations in the deep-sea environment on the ammonia-water working fluid reaction conditions (especially the synthesis reaction temperature), ensuring system thermal inertia while improving overall thermal efficiency.

[0053] like Figure 2 As shown, the system employs a multi-level phase change material (PCM) thermal management structure. The diagram, presented horizontally, clearly illustrates the heat transfer path from the reactor core to the external environment. The diagram explicitly marks the three PCM layers with different phase change temperatures and their relative positions, demonstrating the hierarchical layout of the thermal management system and embodying the design concept of cascaded thermal energy storage and management.

[0054] The architecture adopts a hierarchical layout from the inside out, as detailed below: The high-temperature layer (adjacent to the reaction core) is located on the outer layer of the ammonia synthesis reactor. The temperature of the reaction core is regulated by the heat absorption and release of high-temperature phase change materials. This layer, acting as the system's primary thermal inertia, directly envelops the ammonia synthesis reactor. Its primary function is to maintain temperature stability at the core of the reaction. The selected high-temperature phase change material has a precisely designed phase change temperature, slightly higher than the optimal temperature range for the ammonia synthesis reaction. When wind power is abundant or geothermal input is strong, the system stores the excess heat energy during the phase change process of this layer of material. When energy input weakens or the ambient temperature drops sharply, the latent heat released by the material's reverse phase change effectively compensates for system heat loss, providing a continuous and stable high-temperature environment for the synthesis reaction. This thermal barrier significantly reduces the transmission of external temperature fluctuations to the reaction core, serving as the cornerstone for ensuring chemical reaction efficiency and working fluid circulation stability.

[0055] The intermediate temperature layer (heat flow distribution and buffer) is located between the high temperature phase change management layer and the low temperature phase change management layer. It guides the heat flow by dynamically managing the heat flow based on real-time monitoring of wind power generation, geothermal fluid temperature and system load demand. Located between the high-temperature and low-temperature layers, this layer plays a crucial role in intelligently distributing heat flow and coupling wind and geothermal energy. Its phase change temperature is set in the mid-temperature range during normal system operation. The innovation of this layer lies in its dynamic thermal management strategy. The system control unit intelligently guides heat flow based on real-time monitoring of wind power generation, geothermal fluid temperature, and system load demands. For example, during wind-dominated periods, some heat can be preferentially stored in this layer; when the system switches to geothermal dominance or requires rapid power response, the stored heat can be quickly released to preheat the working fluid or supplement the heat consumption of the first stage. This flexible "heat transfer station" design achieves deep synergy and complementarity between wind and geothermal energy, not only in terms of electricity but also in terms of heat flow.

[0056] The low-temperature layer (environmental interface and final buffer) is located on the outer layer of the middle layer. Based on the characteristics of low-temperature phase change materials absorbing or releasing latent heat during phase change, it adjusts the local environmental temperature around the platform to accommodate changes in temperature.

[0057] This layer serves as the direct interface between the thermal management system and the harsh marine environment. Its primary function is to withstand abrupt changes in ambient temperature and provide a buffer for the internal layers. Utilizing the property of low-temperature phase change materials to absorb or release substantial latent heat during phase transitions, this layer effectively mitigates large-scale, high-frequency fluctuations in localized ambient temperature around the platform caused by diurnal cycles, weather conditions, and even seasonal variations. For example, under intense sunlight, this layer absorbs excess solar energy, preventing localized overheating of the platform; during cold snaps, the released latent heat slows down the cooling rate of the internal systems. This design significantly reduces the load on the internal precision temperature control system and enhances the system's tolerance to extreme climates.

[0058] The thermal management unit, used to dynamically adjust the heat exchange strategy between the high-temperature layer, the intermediate-temperature layer, and the low-temperature layer in conjunction with an intelligent performance evaluation system and control algorithms, also includes: The advanced nature of this architecture is further reflected in its top-down intelligent collaborative control. This thermal management system does not operate independently, but is deeply integrated into the intelligent collaborative control system described in this invention (e.g., Figure 3 The diagram illustrates the system's intelligent control architecture and information flow relationships. Using a vertical layout, it clearly presents the control logic from the perception layer to the decision-making layer and then to the execution layer. The diagram shows the connection relationships between core modules such as sensor networks, data acquisition, digital twin models, optimization algorithms, and command generation, demonstrating the system's closed-loop control mechanism and multi-energy collaborative scheduling principle.

[0059] Comprehensive energy efficiency evaluation indicators: ; It is the rate of change of chemical energy; For wind energy; Geothermal energy; Heat is generated for the catalyst; This indicator is used to evaluate the overall energy efficiency of the system. The numerator includes the integral of net output electrical energy and the change in chemical energy storage, reflecting the system's total energy output. The denominator includes the input of wind and geothermal energy, as well as the work consumed in the reaction process, representing the total energy input. This ratio comprehensively reflects the system's ability to convert input energy into useful output.

[0060] Dynamic response performance metrics: ; To set the power; This refers to the actual power. Rated power; This formula quantifies the system's ability to respond to changes in the setpoint. (Integral term) The deviation between the actual power and the set power is accumulated and divided by the rated power. The standardized response time constant is then obtained. The smaller this value, the better the dynamic response performance of the system.

[0061] Accordingly, the control algorithm will dynamically adjust the heat exchange strategy between phase change materials at each stage; 1. Basic principles for threshold setting: Threshold settings need to comprehensively consider system operating status, environmental changes, and energy supply and demand balance. The multi-level phase change thermal management architecture (high-temperature, medium-temperature, and low-temperature phase change layers) each has its own functional positioning; therefore, the threshold should be based on the following key parameters: Temperature threshold: the phase change temperature of each phase change material (e.g., the high temperature layer is slightly higher than the optimal temperature for synthesis reaction, the medium temperature layer corresponds to the normal operating range, and the low temperature layer is for the environmental interface).

[0062] Power fluctuation threshold: The standard deviation of net output power (σP(t)) is used to identify the degree of fluctuation in wind or geothermal input.

[0063] Environmental parameter thresholds, such as seawater temperature, wind speed, and wave height, are used to predict changes in heat load through real-time monitoring.

[0064] Energy storage state threshold: the charge and discharge state of chemical energy storage capacity (E_chem(t)) to ensure energy buffering.

[0065] Threshold settings need to be dynamically optimized, for example, by using model predictive control (MPC) algorithms to continuously update the thresholds to adapt to short-term (e.g., 15-minute) forecast data. Threshold trigger conditions are typically set to "above the upper limit" or "below the lower limit" and are associated with the adjustment priority of the heat exchange strategy.

[0066] Threshold settings are the fundamental safeguard for stable system operation, while the comprehensive energy efficiency evaluation index (η) system ) and dynamic response performance index (τ) response This is the higher-level objective that drives the system to continuously approach its optimal operating state. The algorithm's working logic is as follows: Data sensing and threshold monitoring: The system monitors the temperature of each stage of phase change material, the net output power of the system, environmental parameters, etc. in real time through a sensor network.

[0067] Performance index calculation: The digital twin module synchronously calculates the system's overall energy efficiency η at the current moment. system and dynamic response τ response .

[0068] Decision-making and optimization: When the monitoring data reaches a preset threshold, the system will immediately execute a preset "bottom-line" strategy (such as heat redistribution in Example 1) to ensure safety and stability.

[0069] Based on this, optimization algorithms (such as MPC) will maximize η system and minimizing τ response For long-term goals, the algorithm continuously optimizes future control commands. This means that even if no thresholds are currently being reached, the algorithm will proactively fine-tune the heat exchange strategy to improve overall performance. For example, to pursue higher η... system The algorithm may more actively store heat in the mesoderm when wind energy is abundant, in order to prepare for unforeseen needs and improve the overall efficiency of energy utilization.

[0070] 2. Examples of threshold setting and dynamic adjustment include: The following examples illustrate how thresholds trigger adjustments to heat exchange strategies. The implementation combines a multi-level phase change thermal management architecture (…). Figure 2 ) and intelligent control system ( Figure 3 ).

[0071] Example 1: Heat redistribution based on temperature threshold Threshold setting: High-temperature phase change layer: The set temperature threshold is T high_max (e.g., 400℃, slightly higher than the optimal temperature of 380℃ for ammonia synthesis). When the sensor detects that the temperature of this layer is close to T... high_max When this occurs, it indicates an excess of thermal energy.

[0072] Intermediate-temperature phase change layer: set threshold T mid_low (e.g., 200℃) and T mid_high (e.g., 300℃). If the temperature is below T mid_low This indicates insufficient heat buffering; above T mid_high This indicates that heat can be released.

[0073] Low-temperature phase change layer: threshold T low_env Based on dynamic calculations of ambient temperature (such as seawater temperature ±10℃), it is used to smooth out diurnal fluctuations.

[0074] Adjustment strategy: When the temperature of the high-temperature layer exceeds T high_max (If there is an oversupply of wind power), the control algorithm triggers the diversion of heat to the mesothermal layer: by adjusting the heat exchanger valves, the excess heat is stored in the mesothermal layer phase change material.

[0075] Meanwhile, if the temperature of the mesothermal layer is lower than T mid_low (If geothermal input decreases), the algorithm prioritizes extracting heat from the high-temperature layer to replenish it, thus avoiding fluctuations in the core temperature.

[0076] This strategy is based on a "heat transfer station" design, which ensures that heat flows intelligently between levels. The document emphasizes that the design achieves deep synergy between wind energy and geothermal energy in terms of heat flow.

[0077] Example 2: Predictive Adjustment Based on Power Fluctuation Threshold: Threshold setting: Standard deviation of power fluctuation σ P(t) The threshold is set to σ max (e.g., rated power P) rated 5%). When σ P(t) >σ max This indicates that the system output is unstable and thermal management needs to be adjusted in advance.

[0078] Combined with wind speed forecast: If the predicted wind speed change exceeds 20% in the next 15 minutes, heat exchange will be triggered in advance.

[0079] Adjustment strategy: when σ P(t) Approaching σ maxThe MPC algorithm predicts heat load changes through a digital twin model and instructs the low-temperature phase change layer to store heat in advance (such as using geothermal preheating of phase change materials) to cope with sudden drops in ambient temperature.

[0080] Simultaneously, adjust the heat release rate of the mesothermal layer: for example, increase heat transfer from the mesothermal layer to the hyperthermal layer before the wind speed decreases to maintain a stable synthesis reaction temperature. The power output calculation model (P) in the document... net(t) The formula provides a quantitative basis for this.

[0081] For example, storing heat energy in advance before severe weather arrives, or optimizing the heat storage ratio at each stage during stable operation. This predictive and proactive thermal management allows the entire system to "plan ahead" rather than react passively, thereby greatly enhancing the stability and energy efficiency of thermal management.

[0082] In summary, the multi-stage phase change thermal management architecture of this invention, through hierarchical thermal inertia design, a heat flow distribution mechanism based on dynamic thermal matching, and deep integration with top-level intelligent control, successfully transforms the unstable marine thermal environment into a controllable and usable thermal management resource. This effectively overcomes the thermal instability problem of single energy systems or simple superimposed systems in deep-sea scenarios, providing crucial thermal assurance for the efficient, stable, and long-term operation of the entire integrated system. This architecture, along with modular design (such as...), Figure 4 The combination of these factors ensures the feasibility of engineering within a limited space. Figure 4 The diagram showcases the modular layout of the system on a floating platform. Using a vertically layered approach, it clearly illustrates the relative positions and spatial relationships of key functional areas such as wind power modules, energy conversion and storage compartments, and geothermal interfaces. The diagram demonstrates the division criteria, connection methods, and compact overall layout of each functional module, showcasing the system's efficient integration within a limited space.

[0083] Furthermore, the marine environmental protection unit constructs a multi-layered, intelligently responsive comprehensive protection mechanism to address the complex challenges unique to the marine environment, such as high salinity, high humidity, biofouling, and dynamic loads. This mechanism is not a simple material stacking, but a full life-cycle protection system encompassing the material matrix, structural design, and system operation and maintenance. Its core design philosophy is proactive defense, intelligent repair, and long-term durability. The material matrix protection module is used to protect metal substrates from cracks by combining self-healing anti-corrosion coatings and intelligent catalytic material adaptation technology. The self-healing anti-corrosion coating employs a unique "sandwich" structure. The bottom layer is a functional primer with excellent adhesion to the base metal; the middle layer is a key layer containing microcapsule repair agents; and the top layer is a highly weather-resistant barrier layer. When microcracks appear in the coating due to mechanical impact or stress corrosion, the stress concentration at the crack tip causes the microcapsules to rupture. The repair agent encapsulated within rapidly penetrates the crack gaps through capillary action, undergoes a polymerization reaction upon contact with the catalyst pre-embedded in the coating, and automatically fills the crack, achieving "biomimetic healing." This mechanism significantly slows down the process by which corrosive media (such as chloride ions) reach the metal substrate.

[0084] To address the issue of catalyst deactivation in high-humidity marine environments, this system employs environmentally adaptive catalytic materials. The support is specially designed to possess both hydrophobicity and selective adsorption capabilities. Under normal operating conditions, the support pores remain open, ensuring unimpeded reactant flow. When ambient humidity is excessively high, the support surface properties undergo a slight adjustment, becoming moderately hydrophobic to effectively prevent excessive water molecules from covering the active sites without affecting reactant molecule contact, thus maintaining stable catalytic activity in fluctuating environments.

[0085] The structural design protection module is used to protect the marine environment through physical barriers and flow guiding structures, and to protect marine organisms through electrochemical antifouling. Physical barriers and flow-guiding structures were designed around all critical equipment, featuring non-contact flow-guiding shrouds and protective baffles. These structures not only serve as the first physical barrier against direct wave impact, but their aerodynamic shapes also guide airflow and the splashed seawater flow field, altering the salt spray deposition path and making it difficult for salt spray to accumulate in sensitive areas of the equipment. For example, the louver design at the reactor air inlet ensures ventilation while effectively separating airborne droplets and particulate matter.

[0086] Electrochemical antifouling, building upon traditional coating antifouling, introduces a low-power, intelligently triggered electrochemical antifouling system. This system does not operate continuously; instead, it uses sensors to monitor minute environmental changes (such as pH or adhesion) that may occur during the initial attachment of biological larvae. Based on these changes, it triggers a short, efficient pulse current to remove the biological larvae before they become firmly attached, significantly reducing energy consumption and avoiding the potential negative impact of long-term current on the material. This system works synergistically with biomimetic microstructures on the device surface (such as low-adhesion textures mimicking dolphin skin) to construct a defense line from both physical and chemical dimensions.

[0087] The system operation and maintenance protection module is used to combine digital twins and clean loops for proactive protection within the system.

[0088] Corrosion prediction and health management based on digital twins are deeply integrated with protective mechanisms and intelligent control systems. The system's digital twin model includes material corrosion kinetic models of key components. By monitoring data in real time through corrosion sensors (such as electrochemical noise probes) distributed throughout the platform and comparing it with the twin model, predictive diagnosis of corrosion rates at specific locations can be achieved. When it is predicted that the coating in a certain area is about to fail or the corrosion rate exceeds the standard, the system will issue a maintenance warning in advance and can guide drones or robots to perform targeted inspections and maintenance, transforming passive maintenance into proactive intervention.

[0089] The closed-loop cleaning and regeneration system incorporates a built-in online cleaning system for easily scaled components such as geothermal heat exchange pipes. This system periodically injects a specially formulated environmentally friendly cleaning agent, circulates it for cleaning, and then recycles it, preventing chemical emissions into the ocean. Simultaneously, for the catalyst, the system is equipped with an in-situ regeneration program. Through controlled temperature and atmosphere changes, it periodically removes surface carbon deposits or mild sulfide poisoning from the catalyst, restoring its activity and extending the replacement cycle.

[0090] Specifically, the core logic of the marine environmental protection unit lies in constructing a dynamic protection network that is progressive and mutually redundant: Active layer (material matrix): Utilizing the inherent properties of smart materials, it enables immediate, microscale damage repair and performance regulation.

[0091] Resistance layer (structural design): Through physical means, minimize the direct impact of harsh environments on the equipment body.

[0092] Monitoring layer (system operation and maintenance): Relying on data-driven approaches, it provides a macro-level understanding of the system's health status, enables scientific decision-making, and achieves optimal cost throughout the entire lifecycle.

[0093] These three mechanisms do not operate in isolation, but rather work closely together through a central control system. For example, when the monitoring system detects an abnormally high corrosion rate in a certain area, it can trigger a maintenance warning, temporarily adjust the electrochemical protection parameters for that area, or suggest appropriately reducing the operating load in that area to buy time for planned maintenance. This integrated material-structure-system protection concept ensures that critical equipment in the system can meet its design life requirements and operate reliably in the harsh environment of the deep sea.

[0094] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0095] Those skilled in the art will understand that all or part of the processes in the systems described in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (Read-Only Memory). Memory includes ROM, magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0096] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0097] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0098] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the system and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A floating wind power-geothermal chemical energy storage integrated system based on ammonia water as the working fluid, characterized in that, The system includes: Multi-source energy unit, computing unit, multi-stage phase change heat management unit, marine environmental protection unit; The multi-source energy units include: wind turbine generators, submarine geothermal heat extraction units, organic Rankine cycle power generation units, and ammonia water working fluid chemical energy storage circuits. The computing unit includes: a digital twin module and an optimized computing module; The multi-level phase change heat management unit includes: a high-temperature phase change management layer, a medium-temperature phase change management layer, a low-temperature phase change management layer, and a phase change heat decision layer; The marine environmental protection unit includes: a material matrix protection module, a structural design protection module, and a system operation and maintenance protection module.

2. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 1, characterized in that, The multi-source energy unit is also used for: Set up a wind turbine generator set based on an adaptive pitch system to obtain wind power output; Submarine geothermal heat extraction units are used to obtain medium- and low-temperature geothermal output; Ammonia water working fluid chemical energy storage circuit, used for multi-energy conversion; Organic Rankine cycle power generation units are used to generate electricity using reaction heat and geothermal energy.

3. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 1, characterized in that, The computing unit is also used for: The digital twin module is used to acquire real-time status data of multi-source energy units; Power response kinetics model and heat and mass transfer control equations are constructed respectively to output the heat load change trend by combining real-time state data of multi-source energy units; Optimize the computation module to combine the overall performance of the calculation system with various physical and engineering constraints: ； System overall performance indicators; Weighted by output power; For stability weights; Economic weighting; Weighted by energy storage capacity; To optimize the start time of the time period; To optimize the end time of the time period; The net output power function is time-varying. This is a function of the standard deviation of power fluctuations; The time-varying operating cost function; The energy storage capacity function is time-varying. Combining the trend of heat load changes and the obtained maximum system comprehensive performance index Output the optimal control command.

4. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water working medium according to claim 3, characterized in that, The reaction kinetic model also includes: The rate equation for the decomposition of ammonia is: ； Refers to the preceding factor; It is activation energy. The gas constant is Absolute temperature; This indicates the effect of reactant concentration. The reaction order is [number]. The term refers to the inhibitory effect of catalyst surface coverage on reaction rate; Ammonia synthesis reaction kinetic equation: ； and The effects of the partial pressures of ammonia and water vapor on the reaction rate are represented by β and γ, respectively, where β and γ are the corresponding reaction orders. The term represents the inhibitory effect on the reaction rate.

5. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 3, characterized in that, The heat and mass transfer control equations also include: Energy conservation equation within the reactor: ； This represents the unsteady-state term representing the change of temperature over time. Represents the convective heat transfer effect; It is a heat conduction term. The term representing the heat source produced by a chemical reaction. Includes contributions from all external heat sources; Component mass transport equations: ； It is the rate of change of component mass concentration over time. Indicates convective transport term. It is a diffusion transport term. It represents the rate of component formation or consumption resulting from a chemical reaction.

6. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 3, characterized in that, The trend of output heat load variation also includes: The reaction rate r is defined as the net reaction rate. Substituting this into the energy conservation equation to describe the transient change in the temperature field T, we obtain: ； Among them, the trend of heat load change is directly reflected in The symbol and size; Heat load quantification includes: calculating the system heat load based on the heat accumulation rate per unit time within the reactor. : ； Wherein, reactor volume V; ρ is reactor density; Specific heat capacity at constant pressure.

7. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 3, characterized in that, Several physical and engineering constraints are as follows: ； ； ； ； This is an energy conservation constraint condition; Used to describe transient heat conduction processes, where the rate of change of the temperature field with time Equal to the energy inflow caused by heat conduction Energy generated by internal heat source sum; Here, k is the Hamiltonian operator; k is the thermal conductivity; and T is the temperature. The mass conservation constraint is used to ensure that the net inflow rate of mass within the control volume is zero; ρ is the density of the control volume; v is the volume of the control volume. For structural strength constraints, the equivalent stress required by the material is... Less than or equal to yield strength divided by safety factor ; To constrain catalytic efficiency, catalyst efficiency Greater than or equal to the minimum catalyst efficiency .

8. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 1, characterized in that, The multi-stage phase change thermal management unit is also used for: The high-temperature layer is located on the outer layer of the ammonia synthesis reactor, and the temperature of the reaction core is regulated by the heat absorption and release of high-temperature phase change materials. The intermediate temperature layer is located between the high temperature layer and the low temperature layer. It guides the flow of heat through dynamic thermal management based on real-time monitoring of wind power generation, geothermal fluid temperature and system load demand. The low-temperature layer, located outside the intermediate-temperature layer, is designed to regulate the local ambient temperature around the platform based on the characteristics of low-temperature phase change materials to absorb or release latent heat during phase change. The thermal management unit is used to dynamically adjust the heat exchange strategy between the high-temperature layer, the medium-temperature layer, and the low-temperature layer by combining an intelligent performance evaluation system and control algorithms.

9. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water working medium according to claim 7, characterized in that, The intelligent performance evaluation system also includes: Comprehensive energy efficiency evaluation indicators : ； It is the rate of change of chemical energy; For wind energy; Geothermal energy; Heat is generated for the catalyst; Dynamic response performance metrics : ； To set the power; This represents the actual power. Rated power; Based on comprehensive energy efficiency evaluation indicators and dynamic response performance indicators The heat exchange strategy between phase change materials at each stage is dynamically adjusted.

10. The floating wind power-geothermal chemical energy storage integrated system based on ammonia water as described in claim 1, characterized in that, The marine environmental protection unit is also used for: The material matrix protection module is used to protect metal substrates from cracks by combining self-healing anti-corrosion coatings and intelligent catalytic material adaptation technology. The structural design protection module is used to protect the marine environment through physical barriers and flow guiding structures, and to protect marine organisms through electrochemical antifouling. The system operation and maintenance protection module is used to combine digital twins and clean loops for proactive protection within the system.

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