Online performance tracking and load sharing optimization for parallel operation of gas compressors. (8th May 2016)

• Record Type: Journal Article
• Authors: Cortinovis, Andrea; Mercangöz, Mehmet; Zovadelli, Matteo; Pareschi, Diego; De Marco, Antonio; Bittanti, Sergio
• Is Part Of: Computers & chemical engineering. Volume 88(2016)
• Page Start: 145
• Page End: 156
• Publication Date: 2016-05-08
• Subjects: Centrifugal compressor -- Compressor load sharing -- Performance monitoring -- Process optimization -- Natural gas transport; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2016.01.012
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Performance tracking algorithm for centrifugal gas compressors. Parameter estimation using constrained least-squares with moving data windows. Load sharing optimization for parallel compressors with varying performance models. Significant fuel savings indicated by field data from a compression station. Abstract: Compressor stations on natural gas pipelines are typically composed of multiple parallel compressors for operational flexibility. The aim of load sharing optimization is to operate the compressor units of a gas compression station in an energy efficient way while satisfying the varying gas demand. This paper presents a problem formulation for compressor load sharing optimization, as well as a novel method to track the performance characteristics of gas compressors using thermodynamic models and historical operating data. An implementation of the proposed algorithm together with a dedicated case study concerning a station with 10 gas turbine driven compressor units are presented. The optimization results, which are based on simulations with actual operating data spanning over a 1 year duration, indicate an annual fuel saving potential of over 5% potentially leading to improved profitability and to a significant reduction of CO2 emissions from the gas turbine drivers.