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- Title
Investigation of a novel hybrid LNG waste heat-/wind-driven hydrogen liquefaction system: exergoeconomic analysis and multi-criteria optimization.
- Authors
Zarsazi, Hamed; Sadeghi, Shayan; Moghimi, Mahdi
- Abstract
In this study, an integrated cryogenic system is designed and investigated to store wind energy into liquefied hydrogen via the use of water electrolysis and the Linde–Hampson hydrogen liquefaction cycle. The system under investigation includes a set of wind turbines, a polymer electrolyte membrane (PEM) type water electrolyzer, Linde–Hampson cycle, and liquefied natural gas (LNG) regasification subsystem. The novel hybrid system investigated here is analyzed using energy, exergy, and exergy-economic analyses methods. Additionally, the system is optimized using Non-dominated sorting genetic algorithm-II (NSGA-II) for two objective functions including exergy efficiency and the cost of the product. Seven input design parameters including number of wind turbines, pressure of various points, and efficiency of mechanical devises are incorporated in the optimization process. The results demonstrated that the energy and exergy efficiencies of the cryogenic energy storage system are 17.51% and 55.43%, respectively. The coefficient of performance and figure of merit are evaluated as 0.1 and 0.26, respectively. Additionally, a unit product cost rate of 36.64 $ GJ−1 is evaluated using exergo-economic analysis. Moreover, exergy analysis showed that wind turbines have the most exergy destruction rate compared to other components. To be exact, wind turbines destroyed 53.5% of the total exergy destruction rate of the integrated system. Finally, the optimum solution acquired from Pareto front through the multi-criteria decision making method showed that the unit product cost of 16.57 $ GJ−1 with an exergy efficiency of 58.29% is the best solution.
- Subjects
WATER electrolysis; HYBRID systems; ENERGY storage; WIND turbines; MECHANICAL efficiency; ELECTROLYSIS
- Publication
Journal of Thermal Analysis & Calorimetry, 2023, Vol 148, Issue 16, p8127
- ISSN
1388-6150
- Publication type
Article
- DOI
10.1007/s10973-022-11629-5