Optimization and economic analysis of liquefaction processes for offshore units

Jin, Chunhe; Son, Heechang; Lim, Young-Jin

doi:10.1016/j.applthermaleng.2019.114334

Cited by 24 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the C3MR process is complex and requires a good deal of equipment, its energy consumption is the lowest at about 1000 kJ/kg-LNG [7]. Due to its energy-saving characteristics, the C3MR process occupies the largest market share in the liquefaction of NG, with a market share of about 60% in 2017 [8].…”

Section: Introductionmentioning

confidence: 99%

A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process

Cui,

Pan,

Pang

et al. 2024

Processes

View full text Add to dashboard Cite

In the traditional C3MR process (T-C3MR), the boiling gas (BOG) output from the last stage of the gas–liquid separator is directly discharged, in which the excellent low-temperature capability is not utilized, and the system efficiency is decreased. In liquefied natural gas (LNG), single-objective optimization methods are commonly used to optimize system parameters, which may result in incomplete system analysis. To solve the above problems, this paper proposes a multi-objective optimization strategy for the improved C3MR process(I-C3MR) based on a new multi-objective optimization algorithm called EHR-GWO-GA. Firstly, the main work proposes an I-C3MR structure. Secondly, an optimization strategy of the I-C3MR with the maximization of liquefaction amount, minimization of unit energy consumption and minimization of exergy loss as objective functions are proposed. Based on the optimization results, the influence of decision variables on liquefaction amount, unit energy consumption and exergy loss are analyzed, and the results show that the decision variables have good adaptability. Finally, a detailed exergy analysis of the equipment used is made, and the results show that the main exergy losses come from the water coolers and compressors, accounting for 32% and 34%, respectively. Compared to the T-C3MR, the improved C3MR based on EHR-GWO-GA(E-C3MR) has an approximate 8% increase in liquefaction amount—a roughly 23% decrease in unit energy consumption and a decrease of nearly 24% in exergy loss.

show abstract

Section: Introductionmentioning

confidence: 99%

A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process

Cui,

Pan,

Pang

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…The paper indicated more than a 9% improvement in net profit by reducing the electricity consumption by 60% and heat exchanger size by 37.50%. Jin, Son, and Lim [15] compared the economic performance of various LNG recovery schemes. The economic analysis indicated different outcomes when the total annualized cost (TAC) results were compared with the gross profit and payout time.…”

Section: Introductionmentioning

confidence: 99%

Energy and economic comparison of five mixed-refrigerant natural gas liquefaction processes

Pereira

Santos

Caballero

et al. 2022

Energy Conversion and Management

View full text Add to dashboard Cite

“…Jin et al investigated the efficiency and economic performance of an N 2 expander, SMR, and dual mixed refrigerant (DMR) processes. They discovered that the SMR has the lowest overall capital cost and payout time, while the DMR has the highest liquefaction performance and total annualized cost.…”

Section: Introductionmentioning

confidence: 99%

Discrete-Continuous Genetic Algorithm for Designing a Mixed Refrigerant Cryogenic Process

Ebrahimi

Tamnanloo

Mousavi

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Over the last few decades, the optimal design and operation of energy-intensive industries such as cryogenic process has gained considerable attention. Because of their high energy efficiency, compact design, and energy-efficient heat transfer, mixed refrigerant (MR) systems are used in several industrial applications. The optimal refrigerant compositionwhich is difficult to obtainis crucial to the efficiency of MR systems. In this research, we explore the MR cryogenic process optimization using 17 different components in the refrigerant stream with normal boiling points ranging from −268.9 to 36 °C to achieve the lowest specific energy consumption. Here, we developed a discrete-continuous genetic algorithm (DCGA) consisting of five steps to resolve the mathematical difficulties of the many-variable optimization problem. Through conducting two case studies, we proved that DCGA can locate the optimal solution in a reasonable amount of time. Compared to the best optimization practices in the literature, the new approach saved up to 12.5% of the unit specific energy consumption. In addition to MR systems, DCGA can also optimize other extreme problems with many independent variables.

show abstract

Optimization and economic analysis of liquefaction processes for offshore units

Cited by 24 publications

References 36 publications

A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process

A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process

Energy and economic comparison of five mixed-refrigerant natural gas liquefaction processes

Discrete-Continuous Genetic Algorithm for Designing a Mixed Refrigerant Cryogenic Process

Contact Info

Product

Resources

About