Process Gas Compressor KPI Monitoring for Fouling and Reliability
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Solution Overview
Problem
The ethylene industry faces challenges in maximizing asset performance and reliability during lengthy production runs, particularly due to water and process fouling, which can lead to costly unplanned shutdowns and energy/productivity losses, and existing monitoring systems struggle to effectively convert vast data into actionable insights for process gas compressor maintenance.
Innovation Solution
A system and method for monitoring and maintaining process gas compressor and associated equipment performance by evaluating key performance indicators (KPIs) across thermodynamic, rotor dynamics, and system performance ratios, using a control/monitoring system that collects and analyzes data to provide treatment recommendations, reporting, and performance modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple measurement systems and methods are used to monitor compressor performance, then measurement coverage is improved, but data complexity and difficulty in correct assessment increase
Solution Approach 1:
The patent segments the complex monitoring system into distinct functional modules: data acquisition from multiple sensors, data processing and validation, performance calculation engines, and reporting systems. This modular architecture allows each component to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The patent introduces an intermediary data processing layer that sits between the multiple measurement systems and the assessment algorithms. This intermediary layer standardizes data formats, validates measurements, and prepares data for analysis, thereby simplifying the interface between diverse measurement systems and the assessment logic.
2Measurement precision
If comprehensive data collection is implemented, then monitoring accuracy is improved, but ability to convert data into actionable insights deteriorates
Solution Approach 1:
The patent extracts only the most relevant performance indicators and parameters from the comprehensive data set for detailed analysis. By identifying and extracting key metrics such as vibration patterns, temperature trends, and performance deviations, the system focuses computational resources on generating actionable insights from the most critical data points rather than processing all available data equally.
Solution Approach 2:
The patent transforms raw comprehensive data into meaningful performance parameters through calculated metrics and normalized values. By converting raw sensor data into standardized performance parameters and comparing them against baseline values, the system makes complex data actionable and interpretable for maintenance decision-making.
3Reliability
If specialty coatings and antifouling technologies are applied, then fouling prevention is improved, but equipment complexity and cost increase
Solution Approach 1:
The patent applies specialty coatings and antifouling technologies as preliminary protective measures during equipment installation and commissioning. By pre-applying these protective layers before operational challenges arise, the system prevents fouling accumulation rather than requiring complex active intervention systems, thereby improving reliability while maintaining relatively simple equipment architecture.
4Temperature
If water injection is used to reduce discharge temperature, then thermal control is improved, but energy consumption increases
Solution Approach 1:
The patent converts the potentially harmful effect of water injection (energy consumption) into a beneficial thermal control mechanism. By carefully controlling water injection rates and timing, the system uses the cooling effect of evaporating water to reduce discharge temperature, thereby protecting equipment from thermal damage while minimizing the energy penalty through optimized injection strategies.
Data Source
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AI summary
Disclosed herein are systems, methods and computer program products for monitoring and maintaining operation, performance and reliability of a process gas compressor and auxiliary equipment used in a production environment by evaluating key performance indications (KPIs) versus design across three areas – thermodynamic, rotor dynamics and system performance ratios.