Online performance tracking and load sharing optimization for parallel operation of gas compressors |
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| Affiliation: | 1. Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK;1. State Key Lab of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;2. School of Mechanical Engineering & Automation, Beihang University, Beijing 100191, China;1. Imperial College London, Department of Chemical Engineering, Centre for Process Systems Engineering, London, UK.;2. BASF SE, Automation Technology, Ludwigshafen, Germany.;3. Imperial College London, Department of Mechanical Engineering, London, UK. |
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| 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. |
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| Keywords: | Centrifugal compressor Compressor load sharing Performance monitoring Process optimization Natural gas transport |
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