Smart Air Diffuser with Occupancy Tracking for HVAC Energy Reduction
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Solution Overview
Problem
Existing HVAC systems inefficiently distribute conditioned air in unoccupied rooms, leading to discomfort and increased energy consumption.
Innovation Solution
A smart diffuser system that uses sensors and AI/ML to track occupants and dynamically adjust louver directions for personalized climate control, optimizing air distribution based on occupancy and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If conditioned air is distributed evenly throughout the room using traditional diffusers, then uniform temperature is achieved, but energy is wasted in unoccupied rooms and extended delay occurs after occupancy
Solution Approach 1:
The diffuser system dynamically adjusts louver positions based on real-time occupancy detection. When a person enters the room, sensors trigger the louvers to redirect conditioned air toward the occupied zone. This dynamic response eliminates the extended delay for comfort while avoiding energy waste in unoccupied spaces, as the system adapts its air distribution pattern to match actual occupancy conditions
Solution Approach 2:
The system incorporates sensors that continuously monitor room occupancy and provide feedback to the control mechanism. This feedback loop enables the diffuser to detect when a person enters and automatically adjust air direction, ensuring immediate comfort without wasting energy on empty spaces. The feedback mechanism resolves the contradiction by making energy consumption contingent on actual occupancy needs
2Ease of operation
If HVAC system continuously conditions air for immediate comfort upon entry, then user comfort is improved, but energy consumption increases in unoccupied periods
Solution Approach 1:
The system performs preliminary conditioning only when occupancy is detected. Sensors trigger the diffuser to redirect conditioned air toward the occupied zone before the person fully enters or settles in. This preliminary action ensures immediate comfort without the need for continuous conditioning, as the system prepares air distribution only when needed, reducing energy consumption during unoccupied periods
Solution Approach 2:
The system changes operational parameters based on occupancy status. When occupied, the diffuser adjusts louver angles and air flow direction to target the person. When unoccupied, it returns to a low-energy state. This parameter switching resolves the contradiction by making comfort provision contingent on actual occupancy, eliminating energy waste while maintaining ease of operation
3Adaptability or versatility
If manual or fixed motorized louvers are used for air direction, then system complexity is reduced, but adaptability to occupancy and personalized control is lost
Solution Approach 1:
The smart diffuser integrates multiple functions into a single device: traditional air distribution, occupancy sensing, dynamic louver control, and personalized comfort optimization. This multi-functionality achieves high adaptability to occupancy patterns while consolidating complexity into an integrated system rather than separate components, resolving the contradiction between adaptability and complexity
Solution Approach 2:
The diffuser system automatically detects occupancy and adjusts air direction without manual intervention. The integrated sensors and control mechanisms enable the system to serve itself, adapting to occupancy conditions autonomously. This self-service capability provides high adaptability while minimizing the need for complex external control systems, as the diffuser manages its own operation based on environmental feedback
Data Source
AI summary
Disclosed are systems and methods of a novel framework for automatically and dynamically activating and/or controlling HVAC equipment. The disclosed framework is designed to track user movements and manipulate HVAC diffusers for dynamic temperature and climate control by integrating various technologies to enhance comfort and energy efficiency. The framework employs sensors, such as motion detectors, infrared cameras, and the like, to monitor the location and activities of individuals within a space in real-time. The data collected can be processed by an intelligent control system that uses algorithms to predict occupancy patterns and adjust the HVAC settings accordingly. By directing air flow through motorized diffusers, the system can provide personalized climate control, ensuring optimal temperature and air quality in occupied areas while reducing energy consumption in unoccupied zones.