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Thermodynamic Optimization of Ammonia Decomposition Solar Heat Absorption System Based on Membrane Reactor.
Xie, Tianchao; Xia, Shaojun; Jin, Qinglong.
Afiliación
  • Xie T; College of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
  • Xia S; College of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
  • Jin Q; College of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Membranes (Basel) ; 12(6)2022 Jun 16.
Article en En | MEDLINE | ID: mdl-35736334
In this paper, an ammonia decomposition membrane reactor is applied to a solar heat absorption system, and thermodynamic optimization is carried out according to the usage scenarios. First, a model of an ammonia decomposition solar heat absorption system based on the membrane reactor is established by using finite time thermodynamics (FTT) theory. Then, the three-objective optimization with and the four-objective optimization without the constraint of the given heat absorption rate are carried out by using the NSGA-II algorithm. Finally, the optimized performance objectives and the corresponding design parameters are obtained by using the TOPSIS decision method. Compared with the reference system, the TOPSIS optimal solution for the three-objective optimization can reduce the entropy generation rate by 4.8% and increase the thermal efficiency and energy conversion rate by 1.5% and 1.4%, respectively. The optimal solution for the four-objective optimization can reduce the heat absorption rate, entropy generation rate, and energy conversion rate by 15.5%, 14%, and 8.7%, respectively, and improve the thermal efficiency by 15.7%. The results of this paper are useful for the theoretical study and engineering application of ammonia solar heat absorption systems based on membrane reactors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Membranes (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Membranes (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza