HVAC Thermostat Cycle Rate Optimization for Equipment Life and Comfort
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing HVAC systems lack optimization of cycle rates for all installations, leading to inefficiencies in system performance, equipment life, and user comfort due to fixed thermostat settings that do not account for variable system conditions.
Innovation Solution
An adaptive method within a thermostat adjusts the cycle rate by dynamically calculating and optimizing the duty cycle and differential temperature settings to maintain a desired maximum cycle rate, using a processing device and memory to implement these adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed thermostat cycle rate is used, then the system is simple to operate and install, but system efficiency and equipment life are not optimized for all installations
Solution Approach 1:
The thermostat dynamically adjusts the cycle rate based on real-time monitoring of system performance parameters including compressor runtime, off-time, and temperature differentials. This transforms the fixed cycle rate into a dynamic parameter that adapts to specific installation conditions, resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring HVAC component operation and using this data to adjust the thermostat cycle rate. The feedback loop compares actual performance against optimal parameters and automatically modifies cycling behavior, enabling optimization across diverse installations without requiring complex manual configuration.
2Ease of operation
If the thermostat cycles the stage on and off frequently, then user comfort is improved by maintaining temperature, but equipment life is reduced due to excessive starting and stopping
Solution Approach 1:
The system changes the differential temperature parameter dynamically based on system conditions and component health. By adjusting the temperature differential threshold for cycling, the system can reduce cycle frequency to protect equipment while maintaining adequate temperature control for user comfort, resolving the contradiction between comfort and equipment life.
Solution Approach 2:
The thermostat allows for partial compromise by accepting slightly larger temperature variations during certain periods to reduce cycling frequency. This partial action approach prioritizes equipment protection while maintaining acceptable comfort levels, rather than attempting to perfectly maintain setpoint temperature at all times.
3Productivity
If the thermostat operates at a fixed cycle rate, then the device complexity is low, but system efficiency is not maximized for varying installations
Solution Approach 1:
The thermostat performs self-optimization by automatically monitoring system performance and adjusting its own cycle rate parameters without external intervention. This self-service capability maximizes system efficiency across varying installations while minimizing the need for complex configuration systems or professional adjustment mechanisms.
Solution Approach 2:
The patent replaces mechanical adjustment mechanisms with electronic sensing and computational algorithms. Modern microprocessors and sensors enable the thermostat to calculate optimal cycle rates based on electrical measurements of system performance, substituting complex mechanical adjustment systems with simpler electronic control that achieves superior efficiency optimization.
Data Source
AI summary
A method for optimizing heating, ventilation, and air conditioning (HVAC) cycling determines an operating characteristic of an HVAC component and adjusts a range of a differential temperature setting based on the operating characteristic.