Optimization of modified single mixed refrigerant process of natural gas liquefaction using multivariate Coggin’s algorithm combined with process knowledge

Pham, Tram Ngoc; Khan, Mohd Shariq; Minh, Lê Quang; Husmil, Yuli Amalia; Bahadori, Alireza; Lee, Sanggyu; Lee, Moonyong

doi:10.1016/j.jngse.2016.06.006

Cited by 27 publications

(14 citation statements)

References 23 publications

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“…This is an improved version of the SMR process, which was introduced by the Korea Gas Corporation (KOGAS). The simple design of the SMR process was used as a base design to improve the energy efficiency by splitting the MR stream into more and less volatile components at two different pressures. , The process flow diagram of the KSMR process is shown in Figure .…”

Section: Lng Production Processesmentioning

confidence: 99%

“…In contrast, the more volatile MR stream expands at the intermediate pressure level. By using the two different pressure level streams to liquefy NG into separate cryogenic heat exchangers, the KSMR process is more efficient than the DMR process …”

Section: Lng Production Processesmentioning

confidence: 99%

“…A comparison of the operating and total annual costs was also difficult because of the differences in cost correlations, cost index, and utility prices used; therefore, the consistent cost evaluation of 1 kg of LNG is difficult. The evaluation of the optimal design of different LNG processes becomes easy when the same research group or engineers present competing optimized alternatives, such as Pham et al , and Khan et al, ,− who belong to the same research group and used consistent design parameters for the same LNG processes. Similarly, Cao et al , and Lee et al ,,,,, also used consistent design parameters to present their optimal LNG process designs.…”

Section: Challenges In the Optimal Designs Comparison Of Lng Processesmentioning

confidence: 99%

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Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives

Qyyum

Qadeer

Lee

2017

Ind. Eng. Chem. Res.

Self Cite

103

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Globally, liquefied natural gas (LNG) has drawn interest as a green energy source in comparison with other fossil fuels, mainly because of its ease of transport and low carbon dioxide emissions. However, LNG production is an energy and cost intensive process because of the huge power requirements for compression and refrigeration. Therefore, a major challenge in the LNG industry is to improve the energy efficiency of the LNG processes through economic and ecological strategies. Optimizing the design and operational parameters of the natural gas liquefaction cycles has been considered as one of most effective and popular approaches to address this issue. This paper reviews recent developments in the design optimization of LNG processes. In the choice of the most suitable and competitive LNG process, the operating costs, capital costs, environmental impact, and safety concerns must be considered for the optimal design and operation of LNG processes. The challenges in comparing recent researches are also discussed, along with suggestions for future directions to improve the energy efficiency of natural gas liquefaction processes.

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Section: Lng Production Processesmentioning

confidence: 99%

Section: Lng Production Processesmentioning

confidence: 99%

Section: Challenges In the Optimal Designs Comparison Of Lng Processesmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives

Qyyum

Qadeer

Lee

2017

Ind. Eng. Chem. Res.

Self Cite

103

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“…With the increase of capability in computing power of computers, simulators and optimizers, the number of selected operating parameters as input variables in studies have also increased. Moreover, the systems with more complexity have been investigated ((HE; JU, 2014), (KHAN et al, 2014a), (KHAN et al, 2014b), (HE; JU, 2015), (FENG et al, 2015), (PHAM et al, 2016), (YAO et al, 2016) and (KWAK et al, 2018)). Among them, some of works have conducted the novelty in applied simulation or optimization which are detailed and discussed in down.…”

Section: Sensitivity Analysis and Optimization Of Industrial Processi...mentioning

confidence: 99%

“…Among them, some of works have conducted the novelty in applied simulation or optimization which are detailed and discussed in down. Pham et al (2016) examined the effects of the flow rates of the each refrigerant components and the working pressures on the liquefaction efficiency. It was also investigated the interpreting the geometric pattern of the temperature difference (in a plot) between the hot and cold composite curves for a heat exchanger of cryogenic cycles.…”

Section: Sensitivity Analysis and Optimization Of Industrial Processi...mentioning

confidence: 99%

Simulation and optimization of primary oil and gas processing plant of FPSO operating in pre-salt oil field.

Bidgoli¹

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As plantas FPSO (Floating, Production, Storage e Offloading) , assim como outras plataformas de processamento offshore de petróleo e gás, são conhecidas por terem processos com uso intensivo de energia. Portanto, qualquer aplicação de procedimentos de otimização para consumo de energia e/ou produção pode ser útil para encontrar as melhores condições de operação da unidade, reduzindo custos e emissões de CO 2 de empresas que atuam na área de petróleo e gás. Uma planta de processamento primário de uma plataforma FPSO típica, operando em um campo de petróleo em águas profundas brasileiras e em áreas do pré-sal, é modelada e simulada usando seus dados operacionais reais:(i) Teor máximo de óleo / gás (modo 1), (ii) 50 % de teor de BSW no óleo (modo 2) e (iii) teor elevado de água / CO 2 no óleo (modo 3). Além disso, uma turbina a gás aeroderivativa (RB211G62 DLE 60Hz) para aplicação offshore é considerada para a unidade de geração da potência eletrica e calor, através dos seus dados reais de desempenho.O impacto de oito parâmetros termodinâmicos de entrada no consumo de combustível e na recuperação de hidrocarbonetos líquidos da unidade FPSO são investigados pelo método SS-ANOVA (Smoothing Spline ANOVA). A partir do SS-ANOVA, os parâmetros de entrada que apresentaram o maior impacto no consumo de combustível e na recuperação de hidrocarbonetos líquidos foram selecionados para aplicação em um procedimento de otimização. Os processos de análise da triagem (usando SS-ANOVA) e de otimização, que consiste em um Algoritmo Híbrido (método NSGA-II + SQP), utilizaram o software Aspen HYSYS como simulador de processo. As funções objetivo utilizadas na otimização foram: minimização do consumo de combustível das plantas de processamento e utilidade e a maximização da recuperação de hidrocarbonetos líquidos. Ainda utilizando SS-ANOVA, a análise estatística realizada revelou que os parâmetros mais importantes que afetam o consumo de combustível da planta são: (1) pressão de saída da primeira válvula de controle (P1); (2) pressão de saída do segundo estágio do trem de separação (e antes da mistura com água de diluição) (P2); (3) pressão de entrada do terceiro estágio do trem de separação (P3); (4) pressão de entrada da água de diluição (P4); (5) pressão de saída do compressor principal de gás (Pc); temperatura de saída de petróleo no primeiro trocador de calor (T1);(7) temperatura de saída de petróleo no segundo trocador de calor (T2); e (8) temperatura da água de diluição. Os parâmetros de entrada de P1, P2, P3 e Pc correspondem a 95% da contribuição total para a recuperação de hidrocarbonetos líquidos da planta para os modos 1. Analogamente, os três parâmetros de entrada P3, Pc e T2 correspondem a 97% e 98% do contribuição total para o consumo de combustível para os modos 2 e 3, respectivamente.Para a recuperação de hidrocarbonetos líquidos da plant, os parâmetros de entrada de P1, P2, P3 e T2 correspondem a 96% da contribuição total para o consumo de combustível para o modo 1. Da mesma forma, os três parâmetros de entrada P3, P2 ...

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Reliable sustainable management strategies for flare gas recovery: technical, environmental, modeling, and economic assessment: a comprehensive review

Elgarahy,

Hammad,

Shehata

et al. 2024

Environ Sci Pollut Res

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Optimization of modified single mixed refrigerant process of natural gas liquefaction using multivariate Coggin’s algorithm combined with process knowledge

Cited by 27 publications

References 23 publications

Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives

Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives

Simulation and optimization of primary oil and gas processing plant of FPSO operating in pre-salt oil field.

Reliable sustainable management strategies for flare gas recovery: technical, environmental, modeling, and economic assessment: a comprehensive review

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