Structural, operational and economic optimization of cryogenic natural gas plant using NSGAII two-objective genetic algorithm
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Meta-heuristic algorithms were used to reduce the SEC in low-temperature natural gas and H2 liquefaction systems.
“Next, meta-heuristic algorithms were used to reduce the SEC in low-temperature natural gas285,286 and H2 liquefaction systems.82,287”
From Strategies To Improve the Performance of Hydrogen Storage Systems by Liquefaction Methods: A Comprehensive Review (2023) · cites this paper as [286]
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- Authors
- Ghorbani, B., Shirmohammadi, R., Mehrpooya, M., & Hamedi, M.-H.
- Affiliations
- Amol University of Special Modern Technologies (IR)
- University of Tehran (IR)
- K. N. Toosi University of Technology (IR)
- Corresponding author
- Mehrpooya, Mehdi
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 159
- Pages
- 410-428
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2808577124
- Cited by
- 58
- References
- 55
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 4 · 2023: 1 · 2022: 9 · 2021: 6 · 2020: 18 · 2019: 9 · 2018: 3
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- University of Tehran (27636/01/01)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Process Optimization and Integration
- Physical Sciences › Engineering › Mechanical Engineering › Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Thermodynamic Systems and Engines
- Keywords
- pinch analysis, exergy analysis, process intensification, specific power, exergy efficiency, sensitivity analysis, vegetation disturbance, multi-objective optimization, NSGA-II, economic optimization, structural optimization
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