ArticleEntropy (Basel, Switzerland)2021
Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Transfer Irreversibilities in the Lenoir Cycle: FTT Design Criteria with ε-NTU.Entropy (Basel, Switzerland) · 2025Article
- Four-Objective Optimization for an Irreversible Porous Medium Cycle with Linear Variation in Working Fluid's Specific Heat.Entropy (Basel, Switzerland) · 2022Article
- The Carnot Cycle and Heat Engine Fundamentals and Applications II.Entropy (Basel, Switzerland) · 2022Article
- Optimal Heat Exchanger Area Distribution and Low-Temperature Heat Sink Temperature for Power Optimization of an Endoreversible Space Carnot Cycle.Entropy (Basel, Switzerland) · 2021Article
- Performance Analysis and Four-Objective Optimization of an Irreversible Rectangular Cycle.Entropy (Basel, Switzerland) · 2021Article
- Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle.Entropy (Basel, Switzerland) · 2021Article
- Optimization Modeling of Irreversible Carnot Engine from the Perspective of Combining Finite Speed and Finite Time Analysis.Entropy (Basel, Switzerland) · 2021Article
- Power and Thermal Efficiency Optimization of an Irreversible Steady-Flow Lenoir Cycle.Entropy (Basel, Switzerland) · 2021Article
- Modeling and Performance Optimization of an Irreversible Two-Stage Combined Thermal Brownian Heat Engine.Entropy (Basel, Switzerland) · 2021Article
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4 authors.
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Abstract
An improved irreversible closed modified simple Brayton cycle model with one isothermal heating process is established in this paper by using finite time thermodynamics. The heat reservoirs are variable-temperature ones. The irreversible losses in the compressor, turbine, and heat exchangers are considered. Firstly, the cycle performance is optimized by taking four performance indicators, including the dimensionless power output, thermal efficiency, dimensionless power density, and dimensionless ecological function, as the optimization objectives. The impacts of the irreversible losses on the optimization results are analyzed. The results indicate that four objective functions increase as the compressor and turbine efficiencies increase. The influences of the latter efficiency on the cycle performances are more significant than those of the former efficiency. Then, the NSGA-II algorithm is applied for multi-objective optimization, and three different decision methods are used to select the optimal solution from the Pareto frontier. The results show that the dimensionless power density and dimensionless ecological function compromise dimensionless power output and thermal efficiency. The corresponding deviation index of the Shannon Entropy method is equal to the corresponding deviation index of the maximum ecological function.
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