Optimization and economic evaluation of integrated natural gas liquids (NGL) and liquefied natural gas (LNG) processing for lean feed gas

Jin, Chunhe; Lim, Young-Jin

doi:10.1016/j.applthermaleng.2018.12.143

Cited by 30 publications

(7 citation statements)

References 21 publications

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“…Both of the aforementioned units are cryogenic processes that require refrigeration systems. Thus, integrating both systems enables the refrigeration system to be shared and reduces the amount of process equipment, which results in an economic advantage [33]. The LNG is sent to the nitrogen rejection unit, which is integrated with the helium extraction unit (NRU-HeXU) to eliminate the nitrogen from the product stream.…”

Section: Lng Chain Descriptionmentioning

confidence: 99%

Study on Boil-off Gas (BOG) Minimization and Recovery Strategies from Actual Baseload LNG Export Terminal: Towards Sustainable LNG Chains

et al. 2021

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Boil-off Gas (BOG) generated at the liquefied natural gas (LNG) export terminal causes negative economic and environmental impacts. Thus, the objective of this study is to develop and evaluate various handling schemes to minimize and/or recover the generated BOG from an actual baseload LNG export terminal with a capacity of 554 million standard cubic feet per day (MMSCFD) of natural gas feed. The following three main scenarios were assessed: JBOG re-liquefaction, LNG sub-cooling, and lean fuel gas (LFG) reflux. For the LNG subcooling, two sub-cases were considered; standalone subcooling before LNG storage and subcooling in the prevailing liquefaction cycle. Steady-state models for these scenarios were simulated using Aspen Plus® based on a shortcut approach to quickly evaluate the proposed scenarios and determine the promising options that should be considered for further rigorous analysis. Results indicated that the flow of attainable excess LNG is 0.07, 0.03, and 0.022 million metric tons per annum (MTA) for the standalone LNG sub-cooling, LNG sub-cooling in the main cryogenic heat exchanger (MCHE), and both LFG-refluxing and jetty boil-off gas (JBOG) liquefaction, respectively. This in turn results in a profit of 24.58, 12.24, 8.14, and 7.63 million $/year for the LNG price of 7$ per Metric Million British Thermal Unit (MMBtu) of LNG.

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Section: Lng Chain Descriptionmentioning

confidence: 99%

Study on Boil-off Gas (BOG) Minimization and Recovery Strategies from Actual Baseload LNG Export Terminal: Towards Sustainable LNG Chains

et al. 2021

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“…Assim, a função de comportamento f(x), é definida como uma sétupla que equaciona a pressão de topo (Pt), vazão de refluxo (Qr), temperatura de topo (Tt), temperatura de (Jin and Lim, 2019).…”

Section: Parâmetros Do Processounclassified

Monitoramento Da Produção Enxuta Com Inteligência Artificial / Lean Production Monitoring With Artificial Intelligence

Mazzoni

Barcelos

2021

BJD

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The liquefied petroleum gas (LPG) production industry, commercially known as residential gas, presents challenges such as continuous production, the need to control the production process in real time and the variability of product quality due to the behavior of parameters thermodynamics of production. In this scenario, this work presents two distinct algorithms and proposes methods to monitor the quality of LPG in real time. At the end, an analysis tool and the control measures that must be implemented will be presented to guarantee the reduction of variability according to the principles of lean production.

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“…A instabilidade do processo altera a função de comportamento, que tende para regiões que caracterizam o desenquadramento do GLP. (Jin and Lim, 2019).…”

Section: O Controle Do Processounclassified

Monitoramento da Produção Enxuta com Inteligência Artificial

Mazzoni

Barcelos

2020

Anais Do Congresso Brasileiro De Automática 2020

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A indústria de produção de gás liquefeito de petróleo (GLP), comercialmente denominado como gás de cozinha, apresenta desafios como a produção contínua, a necessidade do controle de processo de produção em tempo real e a variabilidade da qualidade do produto devido ao comportamento dos parâmetros termodinâmicos da produção. Neste cenário, este trabalho apresenta dois algoritmos distintos e propõe métodos para monitorar a qualidade do GLP em tempo real. Ao final será apresentado uma ferramenta de análise e as medidas de controle que devem ser implementadas para garantir a redução da variabilidade de acordo com os princípios de produção enxuta.

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Optimization and economic evaluation of integrated natural gas liquids (NGL) and liquefied natural gas (LNG) processing for lean feed gas

Cited by 30 publications

References 21 publications

Study on Boil-off Gas (BOG) Minimization and Recovery Strategies from Actual Baseload LNG Export Terminal: Towards Sustainable LNG Chains

Study on Boil-off Gas (BOG) Minimization and Recovery Strategies from Actual Baseload LNG Export Terminal: Towards Sustainable LNG Chains

Monitoramento Da Produção Enxuta Com Inteligência Artificial / Lean Production Monitoring With Artificial Intelligence

Monitoramento da Produção Enxuta com Inteligência Artificial

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