Dual-Mode Compressor Model for Real-Time Flow Optimization
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Solution Overview
Problem
Conventional reciprocating compressor control and diagnostic systems are costly and face challenges in accurately measuring real-time gas flow rates and optimizing engine operation due to reliance on extensive hardware and sensors, as well as difficulties in adjusting flow rates and unloader settings without real-time calculations.
Innovation Solution
A dual-mode model is implemented for reciprocating compressors, comprising a measurement mode to calculate actual gas flow rates and a tuning mode to determine unloader settings and speed set points, allowing for real-time optimization of compressor operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional hardware and sensors are used to monitor and operate the compressor, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces physical flow meters and extensive sensor arrays with a computational model that calculates flow rate using standard compressor operating parameters (pressure, temperature, speed). This substitution of mechanical measurement devices with a software-based calculation system reduces hardware complexity while maintaining measurement capability.
Solution Approach 2:
The patent creates a virtual representation (computational model) of the compressor system that replicates the behavior and allows derivation of flow rate information without physical flow measurement devices. This virtual copy enables measurement functionality through calculation rather than direct physical sensing.
2Productivity
If a dual-mode model is implemented for real-time calculations, then productivity is improved, but device complexity increases
Solution Approach 1:
The control system is segmented into two distinct operational modes: measurement mode for calculating actual flow rate from operating parameters, and tuning mode for determining optimal unloader settings and speed set points. This segmentation allows the complex control functions to be organized into manageable, purpose-specific modules that can be executed sequentially based on operational needs.
Solution Approach 2:
The control system dynamically switches between measurement mode and tuning mode based on operational requirements. This dynamic adaptation allows the system to optimize compressor performance in real-time by selecting the appropriate computational mode, improving productivity without requiring the system to maintain all functions simultaneously active.
3Reliability
If extensive hardware is used for compressor control, then reliability is improved, but ease of operation worsens
Solution Approach 1:
The computational model automatically calculates optimal unloader settings and speed set points based on desired flow rate inputs, eliminating the need for operators to manually adjust multiple hardware components. The system serves itself by deriving control parameters through calculation rather than requiring manual intervention on physical controls.
Solution Approach 2:
The patent introduces an intermediary computational layer that translates desired flow rate specifications into actual control settings (unloader positions, speed set points). This intermediary calculation system simplifies operator interaction by allowing flow rate to be the primary control input, while the complex relationships between multiple control parameters are resolved automatically through the model.
Data Source
AI summary
According to some embodiments, system and methods are provided, comprising providing a dual-mode model for a reciprocating compressor, wherein the model includes a measurement mode and a tuning mode; receiving one or more inputs to the model from an operating reciprocating compressor; and in response to receipt of the one or more inputs, executing the model in at least one of the measurement mode and the tuning mode, wherein: in a measurement mode, execution of the model further comprises calculating an actual flow rate of gas in the compressor based on the one or more inputs; and in a tuning mode, execution of the model further comprises calculating one of an unloader setting and a speed set point of a physical element of the compressor for a given flow rate of gas. Numerous other aspects are provided.