Multi-objective optimization of a solar-driven polygeneration system based on CO2 working fluid

2022 ◽  
Vol 252 ◽  
pp. 115136
Author(s):  
Nikolaos Georgousis ◽  
Panagiotis Lykas ◽  
Evangelos Bellos ◽  
Christos Tzivanidis
Keyword(s):  
Working Fluid ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Polygeneration System

The Application of Entransy Dissipation Theory in Optimization Design of Heat Exchanger

2010 ◽  
Author(s):  
Jiangfeng Guo ◽  
Mengxun Li ◽  
Mingtian Xu ◽  
Lin Cheng
Keyword(s):  
Heat Conduction ◽  
Heat Exchanger ◽  
Working Fluid ◽  
Optimization Approach ◽  
Entransy Dissipation ◽  
Multi Objective Optimization ◽  
Fluid Friction ◽  
Multi Objective ◽  
Heat Exchanger Design ◽  
Single Objective

The heat conduction and fluid friction are two main detrimental irreversibilities in heat exchanger. According to the entransy dissipation theory, the entransy dissipation can be employed to quantify these two irreversibilities. In the present work, the optimization of heat exchanger design is investigated by applying the entransy dissipation theory and genetic algorithm. Firstly, by taking the total dimensionless entransy dissipation caused by heat conduction and fluid friction as objective function, a single-objective optimization approach to heat exchanger design is developed. However, it is found that the role played by the fluid friction is not fully taken into account in this approach when the working fluid of heat exchanger is liquid. In order to circumvent this problem, the non-dimensional entransy dissipations associated with heat conduction and fluid friction are taken as two separate objective functions and a multi-objective optimization approach to heat exchanger design is established. In comparison with the single-objective optimization approach, the multi-objective optimization approach demonstrates more advantages and flexibilities for heat exchanger design.

scholarly journals Multi-objective optimization of CuO based organic Rankine cycle operated using R245ca

2019 ◽  
Vol 116 ◽  
pp. 00062 ◽  
Author(s):  
Parth Prajapati ◽  
Vivek Patel
Keyword(s):  
Heat Transfer ◽  
Thermal Efficiency ◽  
Heat Exchangers ◽  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Working Fluid ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Source Fluid

The present work deals with multi objective optimization of nanofluid based Organic Rankine Cycle (ORC) to utilise waste heat energy. Working fluid considered for the study is R245ca for its good thermodynamic properties and lower Global Warming Potential (GWP) compared to the conventional fluids used in the waste heat recovery system. Heat Transfer Search (HTS) algorithm is used to optimize the objective functions which tends to maximize thermal efficiency and minimize Levelised Energy Cost (LEC). To enhance heat transfer between the working fluid and source fluid, nanoparticles are added to the source fluid. Application of nanofluids in the heat transfer system helps in maximizing recovery of the waste heat in the heat exchangers. Based on the availability and cost, CuO nanoparticles are considered for the study. Effect of Pinch Point Temperature Difference (PPTD) and concentration of nanoparticles in heat exchangers is studied and discussed. Results showed that nanofluids based ORC gives maximum thermal efficiency of 18.50% at LEC of 2.59 $/kWh. Total reduction of 7.11% in LEC can be achieved using nanofluids.

scholarly journals Exergy-Based Multi-Objective Optimization of an Organic Rankine Cycle with a Zeotropic Mixture

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 954
Author(s):  
Zineb Fergani ◽  
Tatiana Morosuk ◽  
Djamel Touil
Keyword(s):  
Organic Rankine Cycle ◽  
Optimal Solution ◽  
Rankine Cycle ◽  
Working Fluid ◽  
Particle Swarm Algorithm ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Benzene Toluene ◽  
Zeotropic Mixture

In this paper, the performance of an organic Rankine cycle with a zeotropic mixture as a working fluid was evaluated using exergy-based methods: exergy, exergoeconomic, and exergoenvironmental analyses. The effect of system operation parameters and mixtures on the organic Rankine cycle’s performance was evaluated as well. The considered performances were the following: exergy efficiency, specific cost, and specific environmental effect of the net power generation. A multi-objective optimization approach was applied for parametric optimization. The approach was based on the particle swarm algorithm to find a set of Pareto optimal solutions. One final optimal solution was selected using a decision-making method. The optimization results indicated that the zeotropic mixture of cyclohexane/toluene had a higher thermodynamic and economic performance, while the benzene/toluene zeotropic mixture had the highest environmental performance. Finally, a comparative analysis of zeotropic mixtures and pure fluids was conducted. The organic Rankine cycle with the mixtures as working fluids showed significant improvement in energetic, economic, and environmental performances.

Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization

Energy ◽  
2020 ◽  
Vol 197 ◽  
pp. 117053 ◽  
Author(s):  
Zhiqi Wang ◽  
Yanhua Hu ◽  
Xiaoxia Xia ◽  
Qingsong Zuo ◽  
Bin Zhao ◽  
...  
Keyword(s):  
Heat Recovery ◽  
Selection Criteria ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Working Fluid ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Economic Selection
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