A method for evaluating the power generation efficiency of a movable wind turbine on the sea, an electronic device, and a program product

Abstract

The application discloses a kind of offshore movable wind turbine power generation efficiency evaluation method, comprising: defining the input parameter and output index of evaluation system, the input parameter includes wind speed, wind turbine sailing speed and wind turbine heading angle, the output index includes power generation, power consumption and net power generation;Developing wind wave flow joint environment under the influence of sailing speed and heading, the movable wind turbine power response calculation is considered, the power generation and the power consumption are obtained;Build heading-power rose diagram model, based on dominant factor decoupling analysis, to quantify the change rule of each power of the movable wind turbine under different relative wind direction;Visual output each power rose diagram and two-dimensional curve of the movable wind turbine, based on the power generation efficiency comprehensive model, combined with the heading angle, sailing speed, wind speed three-dimensional coupling evaluation optimal sailing strategy interval of the movable wind turbine.

Description

Technical Field

[0001] This disclosure pertains to the field of wind power technology, and specifically relates to a method for evaluating the power generation efficiency of offshore mobile wind turbines, electronic equipment, storage media, and program products. Background Technology

[0002] Offshore wind power, with its abundant resources, lack of land occupation, and proximity to load centers, has become a strategic direction for renewable energy development. Traditional offshore wind turbines use fixed foundations (such as monopiles, jacket foundations, and gravity foundations), suitable for shallow waters. However, high-quality shallow-sea wind farm resources are becoming increasingly saturated, making the development of deep-sea and offshore wind energy an inevitable trend. Against this backdrop, mobile offshore wind turbines have emerged, mainly including semi-submersible floating turbines, ship-mounted turbines, and self-propelled turbine platforms.

[0003] Compared to stationary wind turbines, mobile wind turbines offer several significant advantages: First, they can be moved between wind farms, improving wind energy utilization efficiency (e.g., moving to different wind zones during monsoon seasons); second, they facilitate major overhauls and maintenance in port, reducing operation and maintenance costs; and third, they can proactively leave dangerous areas before extreme sea conditions (such as typhoons), enhancing equipment safety. However, this mobility also presents new scientific challenges: wind turbines consume energy during navigation, including overcoming hydrodynamic resistance and adjusting yaw systems, while simultaneously generating electricity. This raises a crucial technical question—how to scientifically evaluate the power generation efficiency of mobile wind turbines during navigation.

[0004] Existing wind turbine power generation efficiency evaluation systems (such as the IEC 61400 series standards) are all designed for stationary wind turbines, with their core evaluation indicators being "power generation" or "capacity factor," without evaluating the energy consumption caused by the turbine's movement. Applying this evaluation system directly to mobile wind turbines could be seriously misleading. For example, a mobile wind turbine may generate a high power output when operating in high-wind-speed areas, but the energy consumed to maintain high-speed navigation may far exceed the increased electrical energy gain, resulting in a negative net power generation. While some research involves energy efficiency evaluation of wind-assisted navigation systems for ships (such as wind-assisted ship propulsion), its focus is on using wind energy to reduce main engine fuel consumption, with evaluation indicators being "energy saving rate" or "fuel savings," which differs from the fundamental logic of mobile wind turbines, which prioritize power generation while incurring energy consumption during navigation. Therefore, there is an urgent need to establish a set of evaluation methods for the power generation efficiency of mobile wind turbines, which should comprehensively consider the coupling relationship between the three core variables of mobile wind turbines—speed, heading, and wind speed—and evaluate the three dimensions of power generation, power consumption, and net power generation, with net power generation as the final comprehensive evaluation index. Summary of the Invention

[0005] This disclosure relates to the interdisciplinary field of offshore wind power technology and marine engineering, specifically to a comprehensive power generation efficiency evaluation method for mobile offshore wind turbines (including mobile wind turbines, shipborne wind turbines, and self-propelled wind turbine platforms), and particularly to an evaluation method that considers the comprehensive impact of the wind turbine's own sailing speed and heading on power generation, power consumption, and net power generation.

[0006] This disclosure presents a method for evaluating the power generation efficiency of offshore mobile wind turbines considering the influence of speed and heading, comprising: Step 1, defining the input parameters and output indicators of the evaluation system, wherein the input parameters include wind speed, speed, and heading angle, and the output indicators include power generation, power consumption, and net power generation; Step 2, conducting dynamic response calculations of the mobile wind turbine considering the influence of speed and heading under a combined wind, wave, and current environment, including power generation and propeller power consumption; Step 3, constructing a heading-power rose diagram model, and quantifying the variation law of each power of the mobile wind turbine under different relative wind directions based on the decoupling analysis of dominant factors; Step 4, constructing a two-dimensional speed-power curve model, and revealing the relationship between speed and each power of the wind turbine based on the decoupling analysis of dominant factors; Step 5, establishing a comprehensive power generation efficiency model. Step 6: Visualize the power rose diagrams and two-dimensional curves of each power of the movable wind turbine, and evaluate the optimal navigation strategy range of the wind turbine by combining the three dimensions of heading angle, speed, and wind speed.

[0007] This disclosure provides a scientific basis for optimizing the navigation strategy of mobile wind turbines by using decoupled modeling analysis of dominant factors and net power generation as a comprehensive indicator. Attached Figure Description

[0008] The above and other objects, features, and advantages of this disclosure will become readily apparent from the following detailed description of exemplary embodiments, taken in conjunction with the accompanying drawings. Several embodiments of this disclosure are illustrated in the drawings by way of example and not limitation, in which:

[0009] Figure 1 A flowchart of a method for evaluating the power generation efficiency of a mobile offshore wind turbine according to one embodiment of this disclosure.

[0010] Figure 2 Wind speed-heading-power rose diagram according to one embodiment of this disclosure.

[0011] Figure 3 According to one embodiment of the present disclosure, a wind speed-heading-power consumption rose diagram is provided.

[0012] Figure 4 A two-dimensional curve of wind speed-ship speed-power generation according to one embodiment of the present disclosure.

[0013] Figure 5A two-dimensional curve of wind speed-ship speed-power consumption according to one embodiment of the present disclosure.

[0014] Figure 6 According to one embodiment of the present disclosure, a wind speed-heading-net power rose diagram is provided.

[0015] Figure 7 A two-dimensional curve of wind speed-ship speed-net power according to one embodiment of the present disclosure. Detailed Implementation

[0016] To address the problems of existing technologies, this disclosure proposes a method for evaluating the power generation efficiency of offshore mobile wind turbines, considering the influence of speed and heading. This method overcomes the limitations of existing evaluation methods in handling complex environments (wind, waves, and currents) and multiple influencing factors (speed, heading, and wind speed), failing to reasonably evaluate wind turbine power generation efficiency indicators and guide optimal navigation strategies. Specifically, by constructing a heading-power rose diagram model and a speed-power two-dimensional curve model, based on the approximation of dominant factors, the method quantifies the power variation patterns of mobile wind turbines under different relative wind speeds, speeds, and headings. It comprehensively considers the heading angle, speed, and wind speed to evaluate the optimal navigation strategy range of the wind turbine. Through decoupling modeling and coupling analysis of dominant factors, the net power generation is ultimately used as a comprehensive indicator, providing a basis for optimizing the navigation strategy of mobile wind turbines.

[0017] According to one or more embodiments, a method for evaluating the power generation efficiency of offshore mobile wind turbines considering the influence of speed and heading is provided, the method comprising the following steps:

[0018] Step 1: Define the input parameters and output indicators of the evaluation system; the input parameters include wind speed. Wind turbine travel speed Wind turbine heading angle The output indicators include power generation. Power consumption and net power generation ;

[0019] Step 2: Perform dynamic response calculations for mobile wind turbines under combined wind, wave, and current conditions, considering the effects of speed and heading, including power generation and propeller power consumption.

[0020] Step 3: Construct a heading-power rose diagram model, and based on the decoupling analysis of dominant factors, quantify the variation patterns of the power of each movable wind turbine under different relative wind directions:

[0021] (1)

[0022] Step 4: Construct a two-dimensional speed-power curve model, and based on the decoupling analysis of the dominant factors, reveal the relationship between the speed of the wind turbine and the power of each component:

[0023] (2)

[0024] Step 5: Establish a comprehensive power generation efficiency model: ;

[0025] Step 6: Visualize the power rose diagrams and two-dimensional curves of each power of the movable wind turbine, and evaluate the optimal navigation strategy range of the wind turbine's power generation efficiency by combining the three dimensions of heading angle, speed, and wind speed.

[0026] The parameters involved here include:

[0027] The wind turbine heading angle is defined as the angle between the wind turbine's heading direction and the prevailing wind direction. 0° indicates tailwind navigation, and 180° indicates headwind navigation.

[0028] The wind turbine's travel speed represents the speed at which the mobile wind turbine moves relative to the Earth's coordinates.

[0029] Wind speed is an environmental input condition.

[0030] Represents a constant;

[0031] The wind turbine heading angle (or navigation heading angle) refers to the angle between the wind turbine's heading direction and the prevailing wind direction;

[0032] , This indicates the power values, i.e., the power generated or the power consumed.

[0033] The power generation The power generated by the wind turbine is related to the rotor speed and the wind energy utilization factor; the power consumed... The propulsion system resists power consumption generated to balance the wind turbine's operation, primarily due to the following forces: wind force (floating body + wind turbine), wave force (floating body), current force (floating body), and drag force (navigation status); net power. It is the difference between the generated power and the consumed power.

[0034] The construction of the rose diagram model in step 4 specifically includes: dividing the heading angle from 0° to 360° into N typical heading angle sequences; based on the decoupling analysis of the dominant factors; obtaining the average power generation value under different wind speed and flight speed conditions within each typical heading angle through actual measurement or numerical simulation; plotting in polar coordinates; using the heading angle as the polar angle and each power as the polar radius; and forming a rose diagram overlay map under multiple wind speed conditions.

[0035] Step 5, which involves constructing a two-dimensional curve model of speed-power consumption, specifically includes: defining a speed sequence with N typical speeds; based on the decoupling analysis of dominant factors; obtaining the average power generation value under different wind speed and heading conditions within each typical speed through actual measurement or numerical simulation; plotting the average power generation value under different wind speed and heading conditions in a rectangular coordinate system, with speed as the abscissa and power as the ordinate, to form a two-dimensional curve overlay map under multiple wind speed conditions.

[0036] The "power generation efficiency" mentioned in step 6 primarily refers to net power generation as a single evaluation indicator, reflecting actual energy gain. The criterion for dividing the optimal navigation strategy zone is: net power generation. Regions with net power generation greater than zero and reaching local maxima are classified as "high-efficiency power generation zones"; regions with net power generation near zero are classified as "energy balance zones"; and regions with negative net power generation are classified as "inefficient or ineffective power generation zones".

[0037] According to one or more embodiments, a method for evaluating the power generation efficiency of offshore mobile wind turbines considering the influence of speed and heading is provided, the method comprising the following steps:

[0038] Step 1: Define the input parameters and output indicators of the evaluation system.

[0039] The input parameters include three core variables:

[0040] wind speed (Unit: m / s), representing environmental input conditions, typically considering a power generation operating range of 3~25 m / s;

[0041] sailing speed (Unit: m / s or kN), representing the speed of movement of the movable wind turbine relative to the Earth's coordinates;

[0042] Wind turbine heading angle (Unit: °) is defined as the angle between the wind turbine's heading direction and the prevailing wind direction. 0° indicates tailwind navigation and 180° indicates headwind navigation.

[0043] The output metrics include three dimensions:

[0044] Power generation : Reflects the energy capture capability of a wind turbine under a given environment;

[0045] Power consumption This reflects the energy cost and power consumption of the wind turbine in maintaining its operation. The forces resisted by the propulsion system to balance the power consumed by the wind turbine mainly include the following: wind force (floating body + wind turbine), wave force (floating body), current force (floating body), and drag force (navigation state).

[0046] Net power generation Net power The difference between power generation and power consumption is a comprehensive indicator for evaluating the actual energy benefits of portable wind turbines.

[0047] Step 2: Construct a heading-power generation rose diagram model.

[0048] Rose diagrams are a classic tool in wind energy engineering for visualizing the relationship between wind direction and power generation. This disclosure extends this tool to mobile wind turbines: in a polar coordinate system with the heading angle as the polar angle and the power generation as the polar radius, closed curves are plotted under different wind speed conditions.

[0049] It should be noted that in actual physical processes, the power generation of a wind turbine depends not only on wind speed and heading, but also on its speed. However, the speed changes the turbine's velocity relative to the wind field, and its impact on power generation can be attributed to the equivalent change in wind speed.

[0050] Considering engineering practicality and model simplicity, in order to analyze and evaluate the power generation efficiency of mobile wind turbines under different headings, this disclosure adopts a dominant factor decoupling analysis to calculate and establish a wind speed-heading-power model under different wind speeds. The specific construction method is as follows:

[0051] (1) Divide the heading angle from 0° to 360° into N sectors (N=8, 12 or 16 is recommended);

[0052] (2) Under standard test conditions (such as wind turbine anchored at rest or maintaining a certain speed), the average power generation value under different wind speed conditions in each sector is obtained through actual measurement, wind tunnel test or high-precision CFD simulation.

[0053] (3) Plot the above data in polar coordinates to form a rose diagram overlay under multiple wind speed conditions.

[0054] The rose diagram model reveals the sensitivity of wind turbine power generation to relative wind direction: power generation is highest when sailing against the wind and decreases significantly when sailing with the crosswind or tailwind.

[0055] Step 3: Construct a two-dimensional curve model of wind speed-ship speed-power.

[0056] To analyze and evaluate the power generation efficiency of mobile wind turbines considering different wind speeds, this step also employs dominant factor decoupling analysis to calculate and establish wind speed-wind speed-power models under different wind speeds. The influence of heading is indirectly reflected through two pathways: firstly, the heading affects the relative wind speed; secondly, it affects the relative wind speed. The specific construction method is as follows:

[0057] (1) Obtain power data corresponding to different speeds and wind speeds through towing tank tests, CFD numerical simulations or actual ship sailing tests;

[0058] (2) Plot a family of curves corresponding to different wind speeds in the same coordinate system with speed as the horizontal axis and power as the vertical axis.

[0059] Step 4: Establish a comprehensive power generation efficiency model and construct an expression for net power generation:

[0060] (3)

[0061] Step 5: Divide the optimal navigation strategy interval based on the model.

[0062] Using the comprehensive power generation efficiency model established in step 4, the region can be divided into different areas:

[0063] High-efficiency power generation zone: The value is greater than 0 and reaches a local maximum. When navigating within this region, the wind turbine can not only meet its own energy consumption but also output electrical energy, making it the optimal navigation strategy range.

[0064] Energy balance zone: ≈ 0 (within the set threshold). The wind turbine generates enough electricity to sustain its own navigation, which is a critical state.

[0065] Inefficient / ineffective power generation areas: < 0. The power consumption of navigation exceeds the power generation capacity, and operation in this range should be avoided.

[0066] Step 6: Visualize the results and output the strategy.

[0067] The system visualizes and outputs power rose diagrams and 2D curves for each power level of the movable wind turbine. It also combines the three dimensions of heading angle, speed, and wind speed to evaluate the optimal navigation strategy range for wind turbine power generation efficiency.

[0068] Compared with the prior art, this disclosure has the following beneficial effects:

[0069] (1) A power generation efficiency evaluation framework for mobile wind turbines is established for the first time: the power generation, power consumption and net power generation are evaluated simultaneously, with net power generation as the comprehensive indicator, which is different from the traditional fixed wind turbines that only focus on power generation.

[0070] (2) Synergistic visualization of rose diagram and two-dimensional curve: The rose diagram intuitively reveals the influence of heading on power, while the two-dimensional curve clearly shows the nonlinear effect of speed on power. The combination of the two forms an intuitive three-variable evaluation tool.

[0071] (3) Decoupling analysis of dominant factors: Under the premise of acknowledging the existence of theoretical coupling, the complex coupling relationship is simplified into a single-factor analysis model that can be independently calibrated based on engineering approximation, which ensures physical rationality.

[0072] (4) Provides quantitative basis for optimal navigation strategy: By dividing the high-efficiency power generation zone, energy balance zone and low-efficiency power generation zone, it provides clear standards for the route planning and speed selection of mobile wind turbines.

[0073] (5) Adaptable to various mobile wind turbine platforms: The method does not depend on the specific platform form and can be applied to mobile wind turbines, ship-mounted wind turbines, self-propelled wind turbine platforms, etc., with good versatility and portability.

[0074] According to one or more embodiments, taking a certain type of 12MW semi-submersible mobile wind turbine as an example, this wind turbine has self-propulsion capability, a maximum speed of 1.0 m / s, a rated wind speed of 11 m / s, a cut-in wind speed of 4 m / s, and a cut-out wind speed of 25 m / s. A method for evaluating the power generation efficiency of offshore mobile wind turbines considering the influence of speed and heading includes...

[0075] Step 1: Define the input and output parameters.

[0076] Input parameter range:

[0077] wind speed : 5m / s, 7m / s, 9m / s, 11m / s, 13m / s, 15m / s, 17m / s,;

[0078] speed : 0 ~ 1m / s, interval 0.1m / s;

[0079] Heading angle : 0°~ 360°, with 30° intervals.

[0080] Output metrics: , , .

[0081] Step 2: Construct a wind speed-heading-power rose diagram model.

[0082] In this embodiment, the average power generation and power consumption of the wind turbine under different wind speeds and headings are obtained by coupling CFD simulation with the wind turbine aerodynamic model. The data in Table 1 are as follows.

[0083] Table 1

[0084]

[0085] The power generation and power consumption at different wind speeds are plotted as a rose diagram, such as... Figure 2 , Figure 3 As shown.

[0086] Step 3: Construct a two-dimensional curve model of wind speed-ship speed-power.

[0087] By coupling CFD simulation with the aerodynamic model of the wind turbine, the average power generation and power consumption of the wind turbine under different wind speeds and heading directions were obtained. The data is shown in Table 2 below.

[0088] Table 2

[0089]

[0090] The power generation and power consumption at different wind speeds are plotted as a rose diagram, such as... Figure 4 , Figure 5 As shown.

[0091] Step 4: Comprehensive calculation of power generation efficiency.

[0092] Calculate net power generation under different operating conditions Rose diagrams and two-dimensional curves were plotted for the wind speed-heading-power model and the wind speed-speed-power model under different operating conditions, respectively. Figure 6 , Figure 7 As shown.

[0093] Step 5: Optimal strategy interval partitioning.

[0094] Analyzing the net power generation under different movement strategies reveals that, in terms of heading, in this embodiment, the net power output of the tailwind movement strategy is significantly higher than that of the headwind movement strategy at different wind speeds. The net power output under different headings can be summarized as the influence of the mobile wind turbine's relative movement speed. In terms of speed, when the wind speed is ≥11m / s, the net power output under tailwind movement is larger; under various movement strategies at different wind speeds, the net power output under headwind movement exceeding 0.6m / s is basically negative; under other conditions, the net power output effect is not significant.

[0095] It should be understood that in the embodiments of this disclosure, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0096] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0097] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0099] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this disclosure, and these modifications or substitutions should all be covered within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A method for evaluating the power generation efficiency of a mobile offshore wind turbine, characterized in that, Includes the following steps: A1. Define the input parameters and output indicators of the evaluation system. The input parameters include wind speed, wind turbine travel speed and wind turbine heading angle. The output indicators include power generation, power consumption and net power generation. A2, Perform dynamic response calculations for a mobile wind turbine under combined wind, wave, and current conditions, taking into account the effects of speed and heading, and obtain the power generation and power consumption. A3. Construct a heading-power rose diagram model and, based on the decoupling analysis of dominant factors, quantify the variation law of the power of each mobile wind turbine under different relative wind directions; A4. Construct a two-dimensional curve model of speed-power, and based on the decoupling analysis of dominant factors, reveal the relationship between the speed of sailing and the power of each component of the mobile wind turbine. A5. Establish a comprehensive power generation efficiency model and calculate the net power generation, wherein the net power generation is the difference between the power generation and the power consumption. A6. Visualize the power rose diagrams and two-dimensional curves of the mobile wind turbine. Based on the comprehensive power generation efficiency model, evaluate the optimal navigation strategy range of the mobile wind turbine by combining the three dimensions of heading angle, speed, and wind speed.

2. The method according to claim 1, characterized in that, The power consumed is the power generated by the propulsion system to maintain the navigation state of the mobile wind turbine. The forces resisted include wind force acting on the float and the wind turbine, wave force acting on the float, current force acting on the float, and towing force during navigation.

3. The method according to claim 1, characterized in that, The construction of the heading-power rose diagram model includes: dividing the heading angle from 0° to 360° into N typical heading angle sequences, obtaining the average power value under different wind speed and flight speed conditions through actual measurement or numerical simulation within each typical heading angle, plotting it in polar coordinates, with the heading angle as the polar angle and each power as the polar radius, to form a rose diagram superposition spectrum under multiple wind speed conditions, where N is a positive integer.

4. The method according to claim 1, characterized in that, The construction of the speed-power two-dimensional curve model includes: defining a speed sequence with N typical speeds, obtaining the average power value under different wind speed and heading conditions through actual measurement or numerical simulation within each typical speed, plotting it in a rectangular coordinate system, with speed as the abscissa and each power as the ordinate, forming a two-dimensional curve superposition map under multiple wind speed conditions, where N is a positive integer.

5. The method according to claim 1, characterized in that, The power generation efficiency is evaluated using the net power generation as a single comprehensive indicator, and the net power generation reflects the actual energy gain of the portable wind turbine.

6. The method according to claim 1, characterized in that, The criteria for dividing the optimal navigation strategy zone are as follows: the area where the net power generation is greater than zero and reaches a local maximum is divided into a high-efficiency power generation zone; the area where the net power generation is near zero is divided into an energy balance zone; and the area where the net power generation is negative is divided into an inefficient or ineffective power generation zone.

7. The method according to claim 1, characterized in that, The mobile wind turbines include semi-submersible floating wind turbines, ship-mounted wind turbines, or self-propelled wind turbine platforms.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor runs the computer program to implement the method as described in any one of claims 1 to 7.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed by a processor to implement the method as described in any one of claims 1 to 7.

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