Zone-Based Temperature Control for Occupancy-Adaptive Heating
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Solution Overview
Problem
Conventional heating and cooling systems in buildings often lead to inefficiencies, such as overheating or overcooling of unused areas, and require manual adjustments, which can result in energy wastage and discomfort. Additionally, existing systems lack the ability to learn and adapt to occupancy patterns, leading to suboptimal temperature control.
Innovation Solution
A temperature control system that allocates rooms into primary and secondary zones, using a controller to manage heating or cooling sources based on occupancy data and set temperatures, allowing for remote control and adaptive learning to ensure rooms are at desired temperatures when occupied, while minimizing energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual thermostat adjustment is used, then temperature control in occupied rooms can be achieved, but energy wastage occurs due to forgotten adjustments and suboptimal timing
Solution Approach 1:
The system enables automatic self-adjustment of thermostats based on learned occupancy patterns. The controller automatically modifies thermostat settings without requiring manual intervention, learning from historical data when rooms are occupied and adjusting temperatures accordingly, thereby eliminating energy wastage from forgotten adjustments
Solution Approach 2:
The system implements feedback loops where occupancy sensors detect room usage, this information is fed back to the controller which then adjusts thermostat settings. The system continuously monitors and refines its control strategy based on actual occupancy patterns and temperature responses
2Reliability
If thermostats are left on to ensure warmth, then comfort is maintained, but energy consumption increases unnecessarily
Solution Approach 1:
The system performs preliminary heating or cooling actions based on predicted occupancy. By learning historical patterns, the system anticipates when rooms will be occupied and pre-adjusts temperatures beforehand, ensuring comfort is maintained without needing to keep thermostats continuously on
Solution Approach 2:
The system dynamically adjusts thermostat settings based on real-time and historical occupancy data. Rather than static on/off control, the system continuously adapts temperature setpoints and timing to match actual usage patterns, optimizing the balance between comfort and energy consumption
3Device complexity
If heating systems are controlled centrally, then overall building temperature can be managed, but individual room occupancy patterns are not optimized
Solution Approach 1:
The system segments the building into individual controllable zones with independent thermostats and occupancy sensors. Each room or zone is controlled separately based on its specific occupancy patterns, allowing optimization at the room level while maintaining overall centralized management through the controller network
4Loss of energy
If occupancy detection is implemented, then energy can be saved by controlling heating/cooling based on actual usage, but system complexity increases
Solution Approach 1:
The controller is designed as a multi-functional device that combines occupancy detection, pattern learning, prediction algorithms, and thermostat control in a single integrated system. This universal controller handles multiple tasks that would otherwise require separate systems, minimizing the increase in overall system complexity while maximizing energy savings
Data Source
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AI summary
This invention relates to improved heating systems. A heating or cooling system is discloses for a building having at least three controlled rooms 2 each having a heating or cooling source 26, an operating means 28 controlling the heating or cooling source and a temperature detector the system also comprising a controller 32 arranged to receive data from the first, second and third temperature detection means and to output signals controlling the respective operating means the controller being able to allocate the first room to a first primary zone and the second controlled room to a first secondary zone the third room to a second primary zone. The controller 32 is arranged to control temperature in the first and second primary rooms in response to a respective temperature output from the first and third rooms and to control a temperature in the first secondary zone in response to a temperature output of the second temperature detection means when the first primary zone or the second primary zone is active. Secondary rooms can be linked to primary rooms. Active periods may be in response to a predetermined schedule, detected or predicted occupancy. An advantage of use of linked rooms is that energy consumption can be reduced.