Enthalpy Evaporation Evaluation for Drying Time Prediction
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Solution Overview
Problem
Current drying industry methods lack effective evaluation of evaporation parameters, leading to inaccurate estimates of drying times and energy requirements for structures, as existing equipment and configurations fail to accurately assess evaporation processes.
Innovation Solution
A method and system that determine ambient and dew point sensible and latent energy values, along with wet bulb energy values, to calculate an enthalpy evaporation evaluation value, enabling precise prediction of evaporation rates and optimizing drying conditions by considering the interplay between air and material energy systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current drying industry methods use existing equipment and configurations (refrigerant dehumidifiers, desiccant dehumidifiers, heating units) to estimate drying parameters, then drying operations can be performed, but the estimation of drying times and energy requirements is inaccurate
Solution Approach 1:
The patent applies parameter changes by introducing a comprehensive set of evaporation parameters including enthalpy, sensible heat, latent heat, vapor pressure, and humidity ratios. These parameters are calculated using specific formulas that transform standard meteorological data into meaningful drying metrics, enabling accurate prediction of drying times and energy requirements.
Solution Approach 2:
The patent uses an intermediary approach by introducing a computer-based calculation system that processes meteorological data through established thermodynamic formulas. This intermediary system bridges the gap between simple weather data and complex drying predictions, providing reliable estimates without requiring direct experimentation.
2Measurement precision
If no devices or systems exist to evaluate evaporation parameters, then equipment selection can be made without scientific basis, but accurate evaluation and prediction of drying conditions cannot be achieved
Solution Approach 1:
The patent creates a universal evaluation system that can assess various drying conditions using a standardized set of parameters and formulas. The same system works for different climates, materials, and equipment configurations, providing multi-functional capability without requiring separate devices for each scenario.
Solution Approach 2:
The patent replaces complex physical measurement systems with a computational approach. Instead of using sophisticated sensors and measurement devices to directly measure evaporation rates, the system uses computer calculations based on standard meteorological data and thermodynamic principles to predict drying conditions accurately.
3Adaptability or versatility
If various equations and principles are proposed to estimate drying parameters, then some guidance can be provided, but none accurately estimate and evaluate what will be needed for a given drying scenario
Solution Approach 1:
The patent segments the drying evaluation process into distinct components: sensible heat calculation, latent heat calculation, vapor pressure determination, and humidity ratio analysis. Each component is calculated separately using specific formulas, allowing for precise evaluation of different aspects of the drying process that can then be integrated into comprehensive predictions.
Solution Approach 2:
The patent incorporates feedback mechanisms by using calculated evaporation parameters to guide equipment selection and drying strategy. The system continuously evaluates whether the predicted drying conditions match actual performance, allowing for adjustment and optimization of the drying process based on measured outcomes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate prediction of evaporation rates and optimization of drying processes, ensuring efficient energy transfer and reduced drying times by accounting for the interplay between air and material energy systems, providing a linear metric for comparing and improving drying conditions.
Implementation Method 1
determining an ambient sensible energy value based on an ambient temperature value and an ambient humidity ratio value
Implementation Method 2
determining an ambient latent energy value based on the ambient humidity ratio value
Implementation Method 3
determining a dew point sensible energy value based on a dew point temperature value and a dew point humidity ratio value
Implementation Method 4
determining a wet bulb sensible energy value based on a wet bulb temperature value and a wet bulb humidity ratio value
Implementation Method 5
determining an enthalpy evaporation evaluation value for the environment based on the ambient sensible energy value, the dew point sensible energy value, the wet bulb sensible energy value, the ambient latent energy value, the dew point latent energy value, and the wet bulb latent energy value
Data Source
AI summary
A process for determining the drying time for a structure or building uses energy values based on sensible and latent energy to determine the enthalpy evaporation evaluation value for a condition. The condition includes the ambient temperature, the dew point temperature, and the wet bulb temperature for the air. The condition also includes the ambient humidity ratio, the dew point humidity ratio, and the wet bulb humidity ratio. The process can be implemented in a device that uses these values to determine the enthalpy evaporation evaluation value, which is used to predict a drying time for the materials.