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% | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.mendeley | 3 | |
| gdc.plumx.scopuscites | 0 | |
| gdc.scopus.citedcount | 0 | |
| gdc.wos.citedcount | 0 | |
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