Dynamic Setback Recovery Control for Power-Consuming Equipment
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Solution Overview
Problem
Current systems for managing power-consuming devices lack intelligent control methods to optimize energy conservation during setback periods and recovery, leading to inefficiencies and increased energy costs.
Innovation Solution
A system and method that dynamically control setback and setback recovery of power-consuming devices by adjusting setback settings based on environmental parameter drift values, allowing for more precise timing and energy management through real-time monitoring and data-driven adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power-consuming devices are setback to reduced levels of operation for energy conservation, then energy consumption is reduced, but the timing precision for entering and exiting setback mode needs improvement to avoid discomfort and inefficiency
Solution Approach 1:
The system continuously monitors environmental parameters (temperature, humidity, occupancy) and uses this feedback to dynamically adjust setback timing. Sensors detect current conditions and feed this information back to the controller, which modifies setback entry and exit times accordingly, ensuring both energy conservation and comfort maintenance through real-time adaptive control
Solution Approach 2:
The setback timing is made dynamic rather than static. The system adapts setback parameters based on real-time environmental conditions, occupancy patterns, and historical data. This allows the setback schedule to flex and adjust automatically, improving timing precision while maintaining energy savings across varying operational conditions
2Productivity
If conventional setback recovery methods are used, then devices return to normal operation, but energy efficiency is reduced due to lack of intelligent control
Solution Approach 1:
The system performs preliminary actions by pre-cooling or pre-heating spaces before setback periods begin, and by initiating recovery processes at optimally calculated times before actual occupancy or demand occurs. This anticipatory control reduces the total energy required for both setback and recovery operations while maintaining comfort standards
Solution Approach 2:
The system dynamically changes operational parameters such as temperature setpoints, humidity levels, and equipment runtime based on real-time conditions and predictive algorithms. By adjusting these parameters intelligently during setback and recovery, the system optimizes energy efficiency while maintaining operational productivity
Data Source
AI summary
Systems and methods are provided for controlling a setback mode of a power-consuming device, and for controlling setback recovery of power-consuming devices, in order to make setback and setback recovery more dynamic based on current environmental parameters and previous observed operating parameters, in order to enable more efficient operation of power-consuming devices resulting in reduced energy costs and increased power efficiency.