Wind Resource Assessment Tool Selection Method
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Solution Overview
Problem
The selection of wind resource assessment tools for wind farms is a multi-objective decision-making process that lacks clarity due to varying applicable conditions, costs, and accuracy, making it challenging to choose the most suitable tool for specific projects.
Innovation Solution
A method and device for selecting wind resource assessment tools by determining influencing factors, calculating competitiveness scores, and identifying the tool with the highest score based on technology and cost considerations, using importance scores and verification matrices to ensure rational tool selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple wind resource assessment tools are considered with different applicable conditions, costs, and accuracy levels, then the selection process becomes more comprehensive and accurate, but the decision-making complexity increases significantly
Solution Approach 1:
The patent segments the complex selection process into distinct evaluation dimensions (accuracy, cost, time, applicability) and further divides them into specific indicators. Each indicator is assigned weights through hierarchical analysis, breaking down the overwhelming decision-making task into manageable segments that can be evaluated systematically.
Solution Approach 2:
The patent transforms qualitative assessment criteria into quantitative parameters by establishing specific indicators and assigning numerical weights to each. This parameter transformation allows different tools to be compared through standardized metrics, converting the complex qualitative selection process into a structured quantitative evaluation system.
2Reliability
If comprehensive factors are considered in the multi-objective decision-making process, then the tool selection becomes more rational and suitable, but the specific selection process becomes unclear and difficult to implement
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the evaluation indicator system and weight coefficients before actual tool selection. The hierarchical analysis model is constructed in advance with all criteria and sub-criteria defined, and weights predetermined through expert scoring. This preliminary structuring makes the subsequent selection process straightforward and easy to follow.
Solution Approach 2:
The patent implements feedback mechanisms through the hierarchical analysis process where expert evaluations are systematically collected, processed, and used to determine weights. The model provides feedback loops that allow adjustment of weights based on project-specific requirements, ensuring the selection process remains both comprehensive and adaptable to different scenarios.
Data Source
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AI summary
The present invention discloses a method and device for selecting a wind resource assessment tool and an electronic device. The method comprises: acquiring at least one wind resource assessment tool; determining at least one influencing factor corresponding to each of the wind resource assessment tools, wherein the influencing factor reflects an influence on competitiveness of the wind resource assessment tool; determining a competitiveness score of each of the wind resource assessment tools according to the at least one influencing factor of each wind resource assessment tool, determining a target wind resource assessment tool from the at least one wind resource assessment tool according to each of the competitiveness scores, wherein the competitiveness score of the target wind resource assessment tool is the highest among all the competitiveness scores. The corresponding competitiveness score is determined according to influencing factors of the wind resource assessment tool, and an optimal tool for assessing the wind resource is determined among a plurality of selectable assessment tools according to the competitiveness score, thereby making clear a multi-objective decision-making process, and effectively improving rationality in selecting the wind resource assessment tool.