HVAC Mesh Network Balancing for Uniform Temperature Distribution
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Solution Overview
Problem
Conventional HVAC systems face challenges in achieving uniform temperature distribution across different rooms due to unequal airflows, varying room geometries, and dynamic activities, leading to inefficient operation and premature wear of components.
Innovation Solution
A mesh network-based HVAC balancing and optimization system that includes active control devices with flow control elements, sensors, and processors to dynamically adjust airflow or heating/cooling based on local and remote sensor data, eliminating the need for a centralized controller and reducing installation and maintenance costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a centralized control system with electronic dampers is installed to dynamically adjust airflow, then temperature distribution uniformity is improved, but device complexity and installation cost increase significantly
Solution Approach 1:
The system divides the building into multiple thermal zones with independent control devices (thermostats and dampers) in each zone. Each zone operates semi-autonomously, making local decisions about airflow adjustment based on its own temperature conditions, eliminating the need for a complex centralized control system while maintaining temperature distribution uniformity.
Solution Approach 2:
The control devices and dampers are equipped with microprocessors that enable them to autonomously sense local temperature conditions and automatically adjust airflow without requiring centralized control. This self-service capability simplifies the overall system architecture by removing the need for complex centralized controllers and extensive networking infrastructure.
2Stability of the object's composition
If electronic dampers with centralized control are used to dynamically balance airflow, then temperature distribution is improved, but power consumption and operating costs increase
Solution Approach 1:
The system employs dynamic adjustment of damper positions based on real-time temperature feedback from each zone, allowing airflow to adapt to changing thermal conditions. This dynamic control achieves temperature distribution uniformity while consuming less power compared to continuous operation of high-powered centralized control systems.
Solution Approach 2:
The system changes operational parameters (damper positions, airflow rates) based on measured temperature conditions in each zone. This parameter adjustment enables efficient thermal balancing without requiring continuous high-power consumption, as devices only activate when temperature deviations are detected.
3Ease of manufacture
If static dampers are installed to adjust airflow rates, then installation cost is reduced, but adaptability to dynamic building activities is lost
Solution Approach 1:
The system replaces static dampers with dynamic control devices that can automatically adjust their opening positions in response to changing thermal conditions caused by building activities. This dynamic capability is achieved through inexpensive microprocessor-based controllers that sense temperature changes and modulate airflow accordingly, maintaining adaptability while keeping installation costs low.
Solution Approach 2:
The system incorporates temperature sensors in each zone that provide feedback to the control devices. This feedback mechanism enables the dampers to respond automatically to dynamic building conditions (such as occupancy changes, window opening, or door usage) without requiring complex centralized control, thus maintaining adaptability at low cost.
4Device complexity
If conventional HVAC systems operate without balancing, then device complexity is minimized, but component wear increases and operational efficiency decreases
Solution Approach 1:
The system uses simple microprocessor-based control devices with integrated sensors that autonomously monitor and adjust airflow to each zone. This self-service capability balances HVAC system operation without requiring complex control architecture, thereby extending component lifespan and improving efficiency while maintaining minimal system complexity.
Solution Approach 2:
Temperature sensors in each zone provide feedback to the control devices, enabling automatic adjustment of airflow to prevent overheating or overcooling of any zone. This feedback mechanism ensures balanced operation of the HVAC system, reducing unnecessary cycling and component wear, while the simplicity of the feedback loop keeps overall system complexity low.
Data Source
AI summary
Certain aspects of the present disclosure relate to a system including a first active control device, comprising: a flow control element; one or more sensors; a network interface configured to connect to a mesh network; a memory comprising computer-executable instructions; and a processor configured to: execute the computer-executable instructions; receive local sensor data from the one or more sensors; receive remote sensor data from a remote sensing device; control a position of the flow control element based on one or more of the local sensor data or the remote sensor data; store the local sensor data and remote sensor data in the memory; and transmit the local sensor data and the remote sensor data to a second active control device via the mesh network.