Design optimization of single mixed refrigerant LNG process using a hybrid modified coordinate descent algorithm

Qyyum, Muhammad Abdul; Long, Nguyen Van Duc; Minh, Lê Quang; Lee, Moonyong

doi:10.1016/j.cryogenics.2017.12.005

Cited by 50 publications

(18 citation statements)

References 29 publications

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“…The individual equipment contribution in overall exergy destruction or entropy generation can be easily identified through the exergy analysis. In this study, the mathematical relations 32–34 for the calculation of the exergy destruction through each equipment involved in the DMR process are provided in Table 8. Figure 6 presents the exergy destructions of the IWO‐optimized DMR process in comparison with the base case 8 …”

Section: Resultsmentioning

confidence: 99%

Weed colonization‐based performance improvement opportunities in dual‐mixed refrigerant natural gas liquefaction process

Qyyum

Qadeer

Khan

et al. 2020

Energy Science & Engineering

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Dual‐mixed refrigerant (DMR) process is a promising candidate for liquefying the natural gas (LNG) at onshore as well as offshore sites, thanks to its higher liquefaction capacity and flexibility in using full gas turbines. DMR involves two mixed refrigerant cycles to perform precooling and subcooling of natural gas (NG), and these refrigerant compositions need constant tweaking to match the ever‐changing NG cooling curve, as it is obtained from different gas fields. Mismatching of cooling curves often results in suboptimal operation, which ultimately leads to an increase in the overall energy consumption. Thus, this study is aimed at making DMR liquefaction operation close to optimal using the invasive‐weed paradigm. At first, the decision variables for performance improvement were determined using degrees of freedom analysis then through invasive‐weed paradigm the best set of parameters that results in minimal overall energy consumption were obtained. For the given set of conditions, it was found that after optimization, the DMR process can produce LNG using 16.2% less compression power compared to the published optimized DMR process. Taking into account the higher sensitivity of the DMR process against NG feed conditions, the IWO approach was also examined to find the multiple optimal solutions corresponding to different sets of feed conditions. The thermodynamic evaluation revealed that the mixed refrigerant involves in NG subcooling and interstage coolers have the highest level of exergy destruction. After successful performance improvement of the DMR process, it is also found that still, 62% improvement potential (based on avoidable/unavoidable exergy destruction analysis) is available in the DMR process that can be attained through either sole optimization or optimal retrofitting/revamping.

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Section: Resultsmentioning

confidence: 99%

Weed colonization‐based performance improvement opportunities in dual‐mixed refrigerant natural gas liquefaction process

Qyyum

Qadeer

Khan

et al. 2020

Energy Science & Engineering

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“…Qyyum et al 25 optimized the PRICO cycle to minimize shaft work demand. Their work uses a hybrid modified coordinate descent method which includes some heuristics to change the operating conditions while meeting the constraints.…”

Section: Previous Researchmentioning

confidence: 99%

Development of an Energy-Efficient Single Mixed Refrigerant Cycle for Small-Scale LNG Production

Trasviña

Smith

Jobson

2021

Ind. Eng. Chem. Res.

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Energy-intensive single mixed refrigerant (SMR) cycles are employed to produce liquefied natural gas (LNG) at small scale. The energy required for refrigerant compression (shaft work) dominates the overall operating costs of the LNG plant. While current methods to minimize shaft work demand (e.g., exergy analysis) focus on the PRICO cycle, this paper shows that structurally modifying the configuration of SMR cycles can yield significant savings in shaft work demand with low added complexity. The novel SMR cycle developed in this work is based on the CryoMan SMR cycle; its benefits, in terms of energy savings, are demonstrated through a case study for natural gas liquefaction at small scale. The shaft work demand of the PRICO, CryoMan, and novel SMR cycles are minimized using a genetic algorithm and nonlinear optimization. The structural modifications applied tailor the refrigerant composition and exploit complex trade-offs between the operating variables to enhance the energy efficiency of the SMR cycles. The results from the case study demonstrate that the novel SMR cycle achieves 10% savings in shaft work demand in comparison with the PRICO SMR cycle.

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“…Available at www.ThermalFluidsCentral.org (Khan et al, 2015). Qyyum et al proposed a simple and highly efficient hybrid modified coordinate descent (HMCD) algorithm was proposed to cope with the optimization of the natural gas liquefaction processin in 2017 (Qyyum et al, 2017). Then, investigated the uncertainty levels in the overall energy consumption and minimum internal temperature approach (MITA) inside LNG heat exchangers with variations in the operational variables of the DMR processes and a global sensitivity analysis is conducted to identify the influence of random inputs on the process performance parameters (Qyyum et al, 2019).…”

Section: Frontiers In Heat and Mass Transfermentioning

confidence: 99%

Simulation and Optimization of Multistage Compressed DMR Natural Gas Liquefaction Process

Rong-ge¹,

Zhang²,

Xu³

et al. 2020

Frontiers in Heat and Mass Transfer

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Design optimization of single mixed refrigerant LNG process using a hybrid modified coordinate descent algorithm

Cited by 50 publications

References 29 publications

Weed colonization‐based performance improvement opportunities in dual‐mixed refrigerant natural gas liquefaction process

Weed colonization‐based performance improvement opportunities in dual‐mixed refrigerant natural gas liquefaction process

Development of an Energy-Efficient Single Mixed Refrigerant Cycle for Small-Scale LNG Production

Simulation and Optimization of Multistage Compressed DMR Natural Gas Liquefaction Process

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