Setback Temperature Control for Timely HVAC Recovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users often set inappropriate setback temperatures in environmental control systems, leading to inefficient operation and missed energy savings, as they struggle to balance comfort temperature recovery with cost savings, requiring daily reprogramming based on current conditions.
Innovation Solution
A method and system that calculate a setback temperature based on the effective thermal load and predetermined time period for an environmental control zone, allowing the system to maintain energy savings while ensuring efficient recovery to the desired temperature, using a programmable control unit with a controller and memory to manage the energy saver control phase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a greater setback temperature difference is established to maximize energy savings, then heating/cooling costs are reduced, but recovery time increases and the zone may not return to comfortable temperature by desired time
Solution Approach 1:
The system dynamically adjusts the setback temperature based on real-time conditions including outdoor temperature, zone thermal characteristics, and occupancy patterns. Rather than using a fixed setback value, the controller continuously optimizes the setback temperature to balance energy savings with recovery time requirements, allowing the system to adapt to changing environmental conditions and occupancy schedules.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor zone temperature, outdoor conditions, and actual recovery performance. This feedback is used to refine future setback temperature calculations, ensuring that the system learns from past performance and continuously improves its ability to achieve both energy savings and timely recovery to comfortable temperatures.
2Ease of operation
If a fixed setback schedule is programmed to simplify user operation, then ease of operation improves, but adaptability to current environmental conditions deteriorates
Solution Approach 1:
The system performs self-optimization by automatically calculating and adjusting setback temperatures based on measured zone thermal characteristics and current environmental conditions. The controller acts autonomously to determine optimal setback values without requiring user intervention or daily reprogramming, while still adapting to changing conditions through its self-learning capabilities.
Solution Approach 2:
The system changes the setback temperature parameter dynamically based on outdoor temperature, zone thermal mass, and occupancy patterns. Rather than using a single fixed setback value, the controller adjusts this parameter in response to varying environmental conditions, maintaining both simplicity for the user and adaptability to current conditions.
3Loss of energy
If setback temperature is manually adjusted daily to optimize for current conditions, then energy savings are maximized, but device complexity and user burden increase
Solution Approach 1:
The system automatically performs the optimization calculations that would otherwise require daily user intervention. The controller measures zone thermal characteristics, monitors outdoor conditions, and computes optimal setback temperatures autonomously, eliminating the need for users to manually reprogram the system while still achieving optimized energy savings.
Solution Approach 2:
The system performs preliminary measurements of zone thermal characteristics and outdoor conditions before the unoccupied period begins, using this information to pre-calculate the optimal setback temperature. This preliminary action allows the system to be prepared in advance and eliminates the need for daily adjustments during operation.
Data Source
AI summary
A method for establishing a set back temperature for an environmental control system includes entering an energy saver control phase having a predetermined time period, determine an effective thermal load for an environmental control zone, calculating a set-back temperature based on the effective thermal load for the environmental control zone and the predetermined time period, operating an environmental control device to establish and maintain the set-back temperature for a portion of the predetermined time period, and operating the environmental control device to establish a desired temperature substantially by an end of the predetermined time period.