Cooling Load Prediction Using Weather Forecast and Design Values
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Solution Overview
Problem
Existing cooling load prediction methods for heat accumulation systems are complex and require past operation data, making them difficult for non-professionals to use and inefficient for new buildings or those with insufficient data.
Innovation Solution
A method that calculates sensible and latent heat loads using air-conditioning design values and weather forecast data, specifically using equations to predict cooling load without relying on past data or complex mathematical models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complicated mathematical and statistical models are used for cooling load prediction, then prediction accuracy can be improved, but the complexity of the system increases and non-professionals cannot use it
Solution Approach 1:
The patent replaces expensive, complex mathematical models with simple, easily obtainable weather forecast data from meteorological offices. This substitution uses readily available, low-cost information (temperature and humidity forecasts) instead of requiring sophisticated prediction models, thereby reducing system complexity while maintaining practical prediction capability for heat accumulation system operation
Solution Approach 2:
The patent enables operators to perform cooling load prediction themselves using simple equations and readily available weather data without requiring professional knowledge of complex mathematical models. The system is designed to be self-serviceable by regular operators through straightforward calculations based on public weather forecasts
2Measurement precision
If complex prediction methods requiring past operation data are used, then prediction accuracy can be improved, but the method cannot be applied to new buildings or those with insufficient data
Solution Approach 1:
The patent creates a universal prediction method that works for all buildings regardless of their age or data availability. By using weather forecast data from meteorological offices combined with building-specific design parameters (which are available from architectural plans), the system can predict cooling loads for new buildings, old buildings, and buildings with insufficient operational history, making it universally applicable across different building types and situations
3Ease of operation
If heat accumulation systems are operated based on operator experience, then system operation can be maintained, but power waste and increased operating cost occur
Solution Approach 1:
The patent introduces a feedback mechanism where cooling load predictions based on weather forecasts are used to adjust heat accumulation system operation in real-time. The predicted cooling load values feed back into the control system, enabling operators to optimize cooler and accumulator operation according to actual forecasted conditions rather than relying on fixed schedules or experience-based estimates, thereby reducing energy waste
Data Source
AI summary
Disclosed is a method for predicting the cooling load for efficient operation of a heat accumulation system by obtaining a prediction function regarding outdoor air temperature and specific humidity from meteorological office data, predicting the outdoor air temperature and specific humidity by using the prediction function and the highest and lowest temperatures of the weather forecast, and predicting the cooling load based on the sensible heat load coefficient, outdoor air coefficient, sensible heat load constant, and latent heat load constant, which are obtained from the building design data. The cooling load can be predicted without using a complicated mathematical model and with no reference to past operation data regarding the target building, but solely based on four air-conditioning design values of the building and the highest and lowest temperatures of the next day, which can be easily obtained from the weather forecast of the meteorological office.