Comprehensive 4E Analysis, Multi-Objective Optimization, and Feasibility Study of Five Natural Gas Liquefaction Processes With a Case Study for Iran

dc.contributor.author Basmenj, Farhad Rahmdel
dc.contributor.author Tabriz, Zahra Hajimohammadi
dc.contributor.author Aghdasinia, Hassan
dc.contributor.author Mohammadpourfard, Mousa
dc.date.accessioned 2025-09-25T18:56:18Z
dc.date.available 2025-09-25T18:56:18Z
dc.date.issued 2026
dc.description.abstract Natural gas (NG) is increasingly vital as a cleaner energy source due to its lower carbon emissions compared to other fossil fuels. Liquefaction facilitates efficient long-distance transportation. While numerous studies address NG liquefaction's technical aspects, holistic research remains limited. This study presents a comprehensive evaluation of five conventional natural gas (NG) liquefaction processes (including SMR-Linde, SMR-APCI, C3MRLinde, DMR-APCI, and MFC-Linde) through a 4E framework: energy, exergy, exergoeconomic, and exergoenvironmental analyses. Addressing limitations in prior research, it incorporates environmental considerations and introduces production volume-independent metrics to ensure equitable comparisons. Multi-objective optimization, based on exergoeconomic and exergoenvironmental criteria, is employed to identify Pareto-optimal operating conditions. To accelerate this complex process, neural networks are utilized. The study concludes with a feasibility assessment of large-scale LNG production in Iran, offering practical insights for optimizing process selection and enhancing the economic and environmental viability of LNG technologies. Simulations show that the MFC-Linde cycle as the most efficient regarding specific energy consumption (0.2563 kWh/kgLNG), coefficient of performance (3.184), and exergy efficiency (52.32 %). It also demonstrates the lowest unit exergy cost (3.67$/GJ) and exergy unit environmental impact (5271.86mPts/GJ). Multi-objective optimization, considering both exergetic-economic and exergetic-environmental criteria, using neural networks and genetic algorithms in MATLAB identifies Pareto-optimal conditions for all processes. For the MFCLinde, as the most efficient process, optimal operating conditions in the exergetic-economic trade off scenario are: Exergy efficiency of process = 51.45% and Exergy cost rate of LNG = 82, 162.15$/h; at Pressure of NG feed = 5, 925.32kPa, Pressure drop in valve = 5, 831.99kPa, and NG side temperature in heat exchanger = -168.34 degrees C. Finally, a feasibility study for large-scale LNG (Liquefied Natural Gas) production in Iran shows promising results, with a return on investment of 32.24 %/year and a payback period of 2.34 years, indicating the project's potential success in regions with abundant NG reserves. en_US
dc.identifier.doi 10.1016/j.fuel.2025.136697
dc.identifier.issn 0016-2361
dc.identifier.issn 1873-7153
dc.identifier.scopus 2-s2.0-105015494335
dc.identifier.uri https://doi.org/10.1016/j.fuel.2025.136697
dc.language.iso en en_US
dc.publisher Elsevier Sci Ltd en_US
dc.relation.ispartof Fuel en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Natural Gas Liquefaction Processes en_US
dc.subject Exergoeconomic en_US
dc.subject Exergoenvironmental en_US
dc.subject Multi-Objective Optimization en_US
dc.subject Artificial Neural Network en_US
dc.subject Iran Feasibility Study en_US
dc.title Comprehensive 4E Analysis, Multi-Objective Optimization, and Feasibility Study of Five Natural Gas Liquefaction Processes With a Case Study for Iran
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Mohammadpourfard, Mousa
gdc.author.wosid Mohammadpourfard, Mousa/Jan-7488-2023
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology en_US
gdc.description.departmenttemp [Basmenj, Farhad Rahmdel; Aghdasinia, Hassan] Univ Tabriz, Fac Chem & Petr Engn, Tabriz, Iran; [Tabriz, Zahra Hajimohammadi] Univ Tehran, Coll Engn, Sch Chem Engn, Transport Phenomena & Nanotechnol TPNT Lab, Tehran, Iran; [Mohammadpourfard, Mousa] Izmir Inst Technol, Dept Energy Syst Engn, Izmir, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 405 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W4414173007
gdc.identifier.wos WOS:001569405600001
gdc.index.type WoS
gdc.index.type Scopus
gdc.openalex.collaboration International
gdc.openalex.fwci 2.02156574
gdc.openalex.normalizedpercentile 0.81
gdc.openalex.toppercent TOP 10%
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