HVAC Differential Pressure Set Points With Shared Parameter Control
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Solution Overview
Problem
Existing HVAC systems face inefficiencies and inaccuracies due to non-linear effects from local control implementations and high manual effort in setting up optimizers, limiting their ability to manage complex comfort conditions in larger buildings and campuses.
Innovation Solution
The implementation of computationally efficient models for parameterizing differential pressure sensors using shared set points, which reduces dimensionality and generates demand indicators to perform supervisory control, thereby improving operational efficiency and accuracy, and reducing manual setup efforts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional local control implementations are used for differential pressure sensors, then each sensor can be controlled independently, but non-linear effects are introduced that reduce system accuracy and increase complexity
Solution Approach 1:
The patent combines multiple differential pressure sensor set points into a single shared set point that is applied system-wide. Instead of maintaining independent set points for each sensor, the system uses one unified set point value that governs all differential pressure sensors, eliminating non-linear effects from local control variations and simplifying the overall control architecture
Solution Approach 2:
The shared differential pressure set point serves multiple functions simultaneously - it acts as the control target for all differential pressure sensors across the HVAC system, providing a universal reference point that ensures consistent system-wide pressure management while reducing the number of parameters that need to be configured and maintained
2Measurement precision
If multiple independent differential pressure set points are configured for each sensor, then local control precision is maintained, but manual setup effort increases significantly for complex buildings
Solution Approach 1:
The patent merges the configuration of multiple individual differential pressure set points into a single shared set point parameter. This single parameter is automatically applied to all differential pressure sensors in the system, dramatically reducing the manual configuration time required for complex buildings with numerous sensors while maintaining consistent precision across all measurement points
3Reliability
If dimensionality of differential pressure set points is maintained without reduction, then individual sensor characteristics are preserved, but computational efficiency decreases and system scalability is limited
Solution Approach 1:
The patent extracts the essential differential pressure set point parameter from each individual sensor configuration and consolidates it into a single shared parameter. This extraction process removes redundant dimensional information while retaining the critical control parameter, thereby improving computational efficiency and enabling better scalability for large building systems without sacrificing the fundamental sensor characteristics needed for accurate control
Data Source
AI summary
Method, apparatus and computer program product for managing a heating, ventilation, and air-conditioning (HVAC) system. In one example, a method includes obtaining a differential pressure reading from each differential pressure sensor of the plurality of differential pressure sensors; obtaining a differential pressure set point for each differential pressure sensor; applying a shared set point parameter to each differential pressure set point for a differential pressure sensor in order to generate a parameterized set point for the differential pressure sensor; for each differential pressure sensor, generating a demand indicator for the differential pressure sensor based on the differential pressure reading from the differential pressure sensor and the parameterized set point for the differential pressure sensor; and performing the supervisory control based on at least one demand indicator.