Wind Farm Power Calculation Using Virtual Anemometer Data
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Solution Overview
Problem
Complex topography and meteorological conditions in wind farms lead to significant errors in simulating wind conditions and calculating power generation, especially when anemometer tower data is unrepresentative.
Innovation Solution
A method and device that utilize a mesoscale numerical simulation with the WRF model to generate virtual anemometer tower data, improving power generation calculation accuracy by determining terrain complexity and anemometer tower data representativeness, and performing mesoscale numerical simulations to supplement insufficient data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulation methods are used for wind farm power generation calculation, then the calculation process is simple, but the calculation accuracy deteriorates due to complex topography and unrepresentative anemometer tower data
Solution Approach 1:
The patent introduces virtual anemometer towers as an intermediary element between actual anemometer towers and wind farm power generation calculation. These virtual towers are generated through mesoscale numerical simulation and serve as mediators to provide representative wind data for areas where actual measurement towers are insufficient or unrepresentative, thereby improving calculation accuracy without requiring extensive physical infrastructure
Solution Approach 2:
The patent creates virtual copies of anemometer towers through numerical simulation. These virtual anemometer towers replicate the functional characteristics of physical towers by generating synthetic wind data based on mesoscale meteorological models, allowing multiple measurement points to be created without additional physical infrastructure and improving the representativeness of wind data across complex terrain
2Measurement precision
If additional anemometer towers are installed to improve data representativeness, then the measurement accuracy improves, but the cost and device complexity increase
Solution Approach 1:
The patent generates virtual anemometer towers as digital copies that replicate the measurement function of physical towers. These virtual towers are created through mesoscale numerical simulation and provide synthetic wind data without requiring additional physical infrastructure, thereby multiplying the effective number of measurement points while avoiding the costs and complexities of installing more actual towers
Solution Approach 2:
The patent transforms the physical state of measurement by changing from discrete physical tower locations to a continuous virtual field of measurement points. By adjusting parameters such as tower density, height, and spatial distribution in the numerical model, the system can optimize data representativeness without the constraints of physical installation requirements
3Measurement precision
If mesoscale numerical simulation is performed to generate virtual anemometer tower data, then the calculation accuracy improves, but the calculation time and computational complexity increase
Solution Approach 1:
The patent performs mesoscale numerical simulation in advance to generate virtual anemometer tower data before the actual power generation calculation. This preliminary action creates a reusable database of wind data that can be applied to multiple wind farm scenarios, amortizing the computational time investment across multiple calculations and reducing the time required for subsequent power generation assessments
Solution Approach 2:
The patent applies mesoscale numerical simulation selectively based on terrain complexity assessment. By evaluating terrain ruggedness and anemometer tower representativeness first, the system performs comprehensive simulation only when necessary (i.e., when terrain is complex or existing data is unrepresentative), rather than always performing full simulations, thereby optimizing the balance between accuracy and computational time
Data Source
AI summary
A method and a device for calculating a power generation of a wind farm is provided. The method includes: determining whether a terrain complexity of a wind farm field exceeds a predetermined complexity; determining a representativeness of anemometer tower data in the wind farm field in a case where the terrain complexity exceeds the predetermined complexity; performing a mesoscale numerical simulation of a meteorological variable in the wind farm field in a case where the anemometer tower data is unrepresentative; extracting mesoscale numerical simulation data as virtual anemometer tower data; and calculating the power generation of the wind farm by using the virtual anemometer tower data.


