Enhancing energo-exergo-economic performance of Kalina cycle for low- to high-grade waste heat recovery: Design and optimization through deep learning methods

• Published in: Applied thermal engineering Vol. 195; p. 117221
• Main Author: Javad Dehghani, Mohammad
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.08.2021; Elsevier BV
• Subjects: Algorithms; Computation; Deep learning; Design optimization; Economic analysis; Economic models; Evolutionary algorithms; Exergy; Heat recovery systems; Heat transfer; Heating; Hybrid optimization algorithm (HOA); Inlet temperature; Kalina cycle; LSTM; Machine learning; Multiple objective analysis; Optimization; Pareto optimization; Rankine cycle; SPEA-II; Studies; Thermodynamic efficiency; Trilateral cycle (TLC); Waste heat recovery; Kalina cycle; LSTM; Hybrid optimization algorithm (HOA); Trilateral cycle (TLC); SPEA-II

[Display omitted] •Modification of the Kalina cycle for low- to high-grade waste heat recovery.•Enhancement of the Kalina cycle performance by integrating of the trilateral cycle (TLC).•Applying a deep learning method (LSTM) for the surrogate modeling of a power system.•Using direct and hybrid optim...