Weather Prediction for Air Utilizing Apparatus Design
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Solution Overview
Problem
Designing air utilizing apparatuses, such as gas turbines and air fin coolers, is challenging without accurate long-term weather data, particularly for areas where temperature and wind direction measurements are scarce, affecting performance and efficiency due to reliance on low-precision environmental data.
Innovation Solution
A weather predicting method and apparatus that utilize weather simulations to generate narrow-area weather information sets, calculating design temperatures and wind directions through differential equations and three-dimensional fluid dynamic equations, enabling precise design even without extensive historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If weather simulations are conducted to generate narrow-area weather information, then design precision is improved, but computational complexity increases
Solution Approach 1:
The patent segments the weather simulation process into distinct modules: selecting weather information sets corresponding to different times, solving differential equations for each set, and generating narrow-area weather information. This modular approach improves design precision while managing computational complexity through structured processing.
Solution Approach 2:
The patent performs preliminary selection of weather information sets before conducting the actual weather simulation. By pre-selecting relevant weather data corresponding to different times, the system reduces the computational burden during the simulation phase while ensuring accurate design temperature determination.
2Measurement precision
If multiple weather information sets are processed through differential equations, then weather prediction accuracy is improved, but calculation time increases
Solution Approach 1:
The patent processes weather information sets corresponding to different times periodically, solving differential equations for each time period separately. This periodic approach allows the system to maintain high prediction accuracy by considering temporal variations while managing calculation time through structured, time-based processing stages.
Data Source
AI summary
A weather predicting method includes: selecting, from weather information related to areas and times and including temperature data, weather information sets related to multiple times over a fixed period concerning a first area containing a location where the air utilizing apparatus is placed; by solving, with selected weather information sets as input data, differential equations expressing the weather information based on analysis models for conducting weather simulations, generating a first narrow area weather information sets related to smaller second areas disposed within the first area; selecting a second narrow-area weather information set concerning a second area containing the location of the air utilizing apparatus from among generated first narrow-area weather information sets; and generating a temperature cumulative frequency distribution or a temperature exceedance probability distribution during the fixed period by using temperature data contained in the second narrow-area weather information set for calculating a design temperature of the air utilizing apparatus.