Humidity Level Control Using Outdoor Air and Dew Point Feedback
Solution Overview
Problem
Existing indoor air quality management systems fail to accurately determine and maintain optimal humidity levels, as they do not consider both outdoor air temperature and dew point temperature, leading to uncomfortable environments and inefficient HVAC system operation.
Innovation Solution
A system comprising outdoor air temperature and dew point sensors, coupled with a processing device that calculates and maintains optimal humidity levels using a database and equations, and communicates with HVAC and humidification systems to adjust settings automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If HVAC systems operate based on user-defined humidity settings, then occupants can set humidity levels based on their comfort preferences, but the system cannot achieve optimal energy efficiency and may not maintain the actual optimum humidity level
Solution Approach 1:
The system continuously monitors outdoor air temperature and dew point temperature, then uses this feedback to automatically calculate and adjust the optimal humidity level setpoint. This closed-loop feedback mechanism replaces manual user settings with automated control based on real-time environmental conditions, achieving both comfort and energy efficiency.
Solution Approach 2:
The HVAC system determines its own optimal humidity setpoint by processing temperature and dew point data through calculation equations, eliminating the need for user intervention. The system serves itself by automatically adjusting humidity levels based on environmental conditions, optimizing both comfort and energy consumption without requiring user expertise.
2Adaptability or versatility
If HVAC systems maintain user-defined humidity levels, then occupants can have control over their environment, but the system lacks accuracy in determining the true optimum humidity level for comfort and energy savings
Solution Approach 1:
The system changes the approach from using fixed user-defined humidity percentages to dynamically calculating optimal humidity levels based on outdoor air temperature and dew point temperature parameters. By using these fundamental thermodynamic parameters as inputs to calculation equations, the system achieves precise determination of the true optimum humidity level that balances comfort and energy efficiency.
3Measurement precision
If the system uses both outdoor air temperature and dew point temperature with calculation equations, then it can accurately determine optimal humidity levels, but the system complexity increases compared to simple user-setting methods
Solution Approach 1:
The system introduces calculation equations as an intermediary between the sensor inputs (outdoor air temperature and dew point temperature) and the HVAC control output. These equations act as a mathematical mediator that processes the temperature data to derive the optimal humidity setpoint, providing accurate humidity determination while maintaining system manageability through a clear input-processing-output structure.
Data Source
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AI summary
A system (100) for determining a humidity level for an area of interest (AOI) (102) is disclosed. The system (100) comprises a first sensor (106) operable to monitor ambient air temperature outside (104) the AOI (102), a second sensor (108) operable to monitor dew point temperature within the AOI (102), and a processing device (110) in communication with the first sensor (106) and the second sensor (108). The processing device (110) comprises one or more processors (110-1) coupled to a memory (110-2) storing instructions executable by the one or more processors (110-1), wherein the processing device (110) is configured to receive, from the first sensor (106), the ambient air temperature being monitored outside (104) the AOI (102), receive, from the second sensor (108), the dew point temperature being monitored within the AOI (102), and determine a humidity level to be maintained within the AOI (102) based on the received ambient air temperature and the received dew point temperature.