Merging Wind Resource Grids Using Distance-Based Weighting
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Solution Overview
Problem
Interpreting wind conditions across large or geographically complex wind farm sites using multiple wind resource grids is challenging due to difficulties in combining data sets, often resulting in inaccurate results and abrupt changes near grid boundaries.
Innovation Solution
A method to merge multiple wind resource grids into a single grid using a distance-based weighting scheme, where weights for wind conditions are assigned based on proximity to meteorological instruments, facilitating accurate wind condition calculation across the site.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple wind resource grids are created for large or geographically complex sites, then measurement precision is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent combines multiple wind resource grids into a single merged grid that integrates data from multiple meteorological instruments. This merging process maintains the improved measurement precision of multiple grids while simplifying interpretation by presenting a unified view of wind conditions across the entire site.
Solution Approach 2:
The merged wind resource grid serves multiple functions simultaneously: it provides detailed local wind conditions from individual grids while also providing a comprehensive site-wide view. This multi-functionality allows users to interpret wind conditions easily at both local and regional scales without needing to manually analyze multiple separate grids.
2Device complexity
If simple averaging method is used to combine wind resource grids, then device complexity is reduced, but manufacturing precision deteriorates due to abrupt changes at boundaries
Solution Approach 1:
The patent applies local quality by using distance-based weighting where closer meteorological instruments have greater influence on wind condition calculations at specific locations. This ensures smooth transitions and continuity at grid boundaries while maintaining accuracy, avoiding the abrupt changes that occur with simple averaging methods.
Solution Approach 2:
The patent changes the combining method from simple arithmetic averaging to a weighted combination based on distance parameters. This parameter change ensures continuous wind condition values across grid boundaries while maintaining computational feasibility, resolving the contradiction between simplicity and precision.
Data Source
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AI summary
A device for determining wind conditions within a geographic area is provided. The device includes a memory area (210) configured to store a plurality of input wind resource grids (304,306,308,310) including a plurality of input points (910,920), each input point of the plurality of input points associated with a wind condition, a first geographic position, and a meteorological instrument (322) having a second geographic position, the first geographic position of at least one input point being within the geographic area, and a processor (205) coupled to the memory area and is programmed to define an output wind resource grid (300,500,600,1000) having a plurality of output points (312,320) associated with a third geographic position within the geographic area, and for each output point of the plurality of output points of the output wind resource grid, determine a wind condition based at least in part on a wind condition associated with at least one corresponding input point, and a distance (328) between the third geographic position of the output point and the second geographic position of a meteorological instrument associated with the at least one corresponding input point.