A model for booster station matching of gas turbine and gas compressor power under different ambient conditions

Transporting natural gas across different locations require compressor stations to provide the pressure needed to keep the gas moving. This paper presents a model for matching the gas turbine and gas compressor power required under different environmental conditions to support the continuous gas tra...

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Main Authors: Nasiru Tukur, Emmanuel O. Osigwe
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021013256
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author Nasiru Tukur
Emmanuel O. Osigwe
author_facet Nasiru Tukur
Emmanuel O. Osigwe
author_sort Nasiru Tukur
collection DOAJ
description Transporting natural gas across different locations require compressor stations to provide the pressure needed to keep the gas moving. This paper presents a model for matching the gas turbine and gas compressor power required under different environmental conditions to support the continuous gas transmission across other locations. The trans-Saharan gas pipeline (TSGP) project proposed to transport gas from Nigeria to Algeria has been used as a case study in this paper. The TSGP project is a Nigerian Government initiative to rejig its gas development and transportation infrastructure to meet its internal and external market demand. The numerical method used in this paper integrates the effect of the ambient temperature in the power matching of the gas turbine and gas compressors. There are 18 compressor stations across the TSGP network, and compressor station 2 is used as the reference point. The daily temperature fluctuation is segmented into hours of the day, emphasising considerable ambient temperature variation at 3:00 h, 9:00 h, 15:00 h. One benefit of the model against others in the open literature is accounting for changes in the ambient temperature along the pipeline network and gas compression stations. Accounting for changes in ambient temperature provides accuracy to near real-life operational experience for gas distribution via pipelines. The model also accounts for variations in turbine entry temperature (TET) to compensate for changes in the ambient conditions to meet the power requirements of the gas turbine and the gas compressor. The results show that for every 1% increase in ambient temperature, a 3.5% increase in power is required to drive the gas compressor and a 1% decrease in gas turbine output power. The effect of the 1% increase in ambient would require a 3.5% increase in TET to meet both the gas turbine and gas compressor requirement.
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spelling doaj.art-8c6ddbbbe61840b49ee123a0d352203d2022-12-21T20:04:19ZengElsevierHeliyon2405-84402021-06-0176e07222A model for booster station matching of gas turbine and gas compressor power under different ambient conditionsNasiru Tukur0Emmanuel O. Osigwe1Department of Chemical and Petroleum Engineering, Bayero University, Kano, NigeriaCranfield University, Bedford, MK43 0AL, UK; Corresponding author.Transporting natural gas across different locations require compressor stations to provide the pressure needed to keep the gas moving. This paper presents a model for matching the gas turbine and gas compressor power required under different environmental conditions to support the continuous gas transmission across other locations. The trans-Saharan gas pipeline (TSGP) project proposed to transport gas from Nigeria to Algeria has been used as a case study in this paper. The TSGP project is a Nigerian Government initiative to rejig its gas development and transportation infrastructure to meet its internal and external market demand. The numerical method used in this paper integrates the effect of the ambient temperature in the power matching of the gas turbine and gas compressors. There are 18 compressor stations across the TSGP network, and compressor station 2 is used as the reference point. The daily temperature fluctuation is segmented into hours of the day, emphasising considerable ambient temperature variation at 3:00 h, 9:00 h, 15:00 h. One benefit of the model against others in the open literature is accounting for changes in the ambient temperature along the pipeline network and gas compression stations. Accounting for changes in ambient temperature provides accuracy to near real-life operational experience for gas distribution via pipelines. The model also accounts for variations in turbine entry temperature (TET) to compensate for changes in the ambient conditions to meet the power requirements of the gas turbine and the gas compressor. The results show that for every 1% increase in ambient temperature, a 3.5% increase in power is required to drive the gas compressor and a 1% decrease in gas turbine output power. The effect of the 1% increase in ambient would require a 3.5% increase in TET to meet both the gas turbine and gas compressor requirement.http://www.sciencedirect.com/science/article/pii/S2405844021013256Gas compressorGas turbineAmbient temperaturePower matchingPipeline
spellingShingle Nasiru Tukur
Emmanuel O. Osigwe
A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
Heliyon
Gas compressor
Gas turbine
Ambient temperature
Power matching
Pipeline
title A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
title_full A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
title_fullStr A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
title_full_unstemmed A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
title_short A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
title_sort model for booster station matching of gas turbine and gas compressor power under different ambient conditions
topic Gas compressor
Gas turbine
Ambient temperature
Power matching
Pipeline
url http://www.sciencedirect.com/science/article/pii/S2405844021013256
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