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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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Autores principales: Tukur, Nasiru, Osigwe, Emmanuel O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225973/
https://www.ncbi.nlm.nih.gov/pubmed/34195398
http://dx.doi.org/10.1016/j.heliyon.2021.e07222
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author Tukur, Nasiru
Osigwe, Emmanuel O.
author_facet Tukur, Nasiru
Osigwe, Emmanuel O.
author_sort Tukur, Nasiru
collection PubMed
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 pubmed-82259732021-06-29 A model for booster station matching of gas turbine and gas compressor power under different ambient conditions Tukur, Nasiru Osigwe, Emmanuel O. Heliyon Research Article 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. Elsevier 2021-06-11 /pmc/articles/PMC8225973/ /pubmed/34195398 http://dx.doi.org/10.1016/j.heliyon.2021.e07222 Text en © 2021 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Tukur, Nasiru
Osigwe, Emmanuel O.
A model for booster station matching of gas turbine and gas compressor power under different ambient conditions
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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225973/
https://www.ncbi.nlm.nih.gov/pubmed/34195398
http://dx.doi.org/10.1016/j.heliyon.2021.e07222
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