HVAC Operating Map Control to Prevent Compressor Shutdowns
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Solution Overview
Problem
Heating and cooling systems with vapor compression cycles face inefficiencies due to the need for dynamic adjustment of operating parameters to maintain optimal performance and prevent subsystem shutdowns, particularly in managing motor winding temperatures and system conditions.
Innovation Solution
A method and system that dynamically adjust operating parameters of subsystems, such as compressor speed and expansion valve orifice, by processing system demand and condition data against predefined operating maps to maintain optimal operating envelopes, thereby avoiding shutdowns and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If operating parameters are adjusted dynamically to maintain optimal performance, then system efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of operating parameters including compressor speed, fan speed, and expansion valve position based on real-time system conditions. The controller continuously monitors parameters such as motor winding temperature, suction pressure, and head pressure, and dynamically adjusts subsystem operations to maintain optimal efficiency while preventing harmful conditions.
Solution Approach 2:
The system employs feedback control mechanisms where the controller receives continuous data from sensors monitoring system conditions (motor winding temperature, pressures, temperatures) and adjusts operating parameters accordingly. This closed-loop control enables the system to respond to changing conditions and maintain optimal performance while preventing harmful conditions.
2Reliability
If operating parameters are adjusted to prevent subsystem shutdowns, then system reliability is improved, but control complexity increases
Solution Approach 1:
The controller proactively monitors system conditions and adjusts operating parameters before harmful conditions develop. For example, the system detects trends in motor winding temperature and adjusts compressor speed or fan operation in advance to prevent temperature excursions that would cause shutdowns, rather than reacting after the problem occurs.
Solution Approach 2:
Continuous feedback from sensors monitoring motor winding temperature, pressures, and temperatures enables the controller to maintain system parameters within safe operating ranges. The feedback loop allows real-time adjustments that prevent harmful conditions and ensure reliable operation.
3Measurement precision
If multiple operating map functions are evaluated sequentially, then operating precision is improved, but processing time increases
Solution Approach 1:
The control approach segments the operating parameter space into multiple operating map functions, each representing a specific operating regime. The controller evaluates system conditions against these segmented maps to determine the appropriate operating parameters, allowing precise control while organizing the complexity into manageable segments.
Data Source
AI summary
A method for controlling a system comprising, receiving system demand data (402), processing the system demand data (404), defining a first system operating parameter (404), receiving system condition data (406), associating the system condition data with an operating map function (406), determining whether the system condition data exceeds a threshold of the operating map function (408), and changing the first system operating parameter responsive to determining that the system condition data exceeds the threshold of the operating map function (411).