2023
DOI: 10.1016/j.enconman.2022.116506
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Multi-objective optimization of an innovative integrated system for production and storage of hydrogen with net-zero carbon emissions

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Cited by 32 publications
(24 citation statements)
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“…Recently, a powerful combination of meta-heuristic and artificial intelligence algorithms was developed for multiobjective optimization of H 2 liquefaction cycle parameters. Then, fuzzy Bellman–Zadeh, LINMAP, and TOPSIS methods were employed to make decisions in multiobjective optimization Figure depicts a schematic of combining a meta-heuristic algorithm and artificial intelligence to optimize the H 2 liquefaction cycle.…”
Section: Different Methods To Improve the Performance Of Hydrogen Liq...mentioning
confidence: 99%
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“…Recently, a powerful combination of meta-heuristic and artificial intelligence algorithms was developed for multiobjective optimization of H 2 liquefaction cycle parameters. Then, fuzzy Bellman–Zadeh, LINMAP, and TOPSIS methods were employed to make decisions in multiobjective optimization Figure depicts a schematic of combining a meta-heuristic algorithm and artificial intelligence to optimize the H 2 liquefaction cycle.…”
Section: Different Methods To Improve the Performance Of Hydrogen Liq...mentioning
confidence: 99%
“…A complete knowledge of the cryogenic cycle arrangement and its distance from the optimal arrangement is gained using the CCs, GCCs, and heat exchanger networks as the qualitative indexes obtained from pinch analysis in H 2 liquefaction systems. Next, by altering the design and arrangement of the equipment in the refrigeration process, the optimal arrangement is selected. ,,,,, It is possible to target the overall costs of the system, including the operational costs of energy supply and the initial costs of providing network equipment using CC and GCC diagrams. Thus, by changing Δ T min and calculating the cost of the required level for the network and the cost of providing utility services, the system total cost is calculated for each Δ T min , and then, the lowest total cost required for the system as the target point is determined.…”
Section: Different Methods To Improve the Performance Of Hydrogen Liq...mentioning
confidence: 99%
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“…The square of discrepancies between the actual result and the related anticipated outcomes should be minimized in the GMDH method as follows i = 1 M [ false( x i 1 , x i 2 , x i 3 , ... , x i n false) y i ] 2 .25em min …”
Section: Thermodynamic and Optimization Analysesmentioning
confidence: 99%
“…The following complex discrete sequence of Volterra functions is utilized to represent the general connections between input and output variables y = a 0 + 1 n a i x i + 1 n 1 n a i j x i x j + 1 n 1 n 1 n a i j k x i x j x k + ... …”
Section: Thermodynamic and Optimization Analysesmentioning
confidence: 99%