4.7 Article

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

Journal

ENERGY
Volume 197, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117053

Keywords

DORC; Multi-objection optimization; Working fluid pairs; NSGA-II; WHR

Funding

  1. Science and Technology Major Project of Tibet of China
  2. Natural Science Foundation of Hunan Province,China [2018JJ2399]

Ask authors/readers for more resources

The dual-loop organic Rankine cycle(DORC) is considered as an important way for engine waste heat recovery (WHR). Currently, researchers mainly focus on thermodynamic analysis and the performance comparison of multiple existing working fluid pairs without optimizing the working fluid pairs. Therefore, a novel analysis method of selection criteria based on thermodynamic and economic is provided to select a suitable working fluid using the multi-objective optimization. Firstly, a multi-objective optimization was performed using the Non-dominated sorting genetic algorithm-II(NSGA-II) to maximize exergy efficiency and minimize payback period under 24 candidate working fluid pairs from the references. And the Technical for Order Preference by Similarity to an Ideal Solution (TOPSIS) method was applied to select the Pareto optimal solutions using different kinds of working fluid pairs. Finally, the optimization results were analyzed by the grey relational analysis(GRA). The results show that the critical temperature can be used as the thermo-economic critical for working fluids selection in DORC system, such as the ideal working fluid pairs with the critical temperature in the range of 580-600 K of the HT cycle and the critical temperature in the range of 380-415 K of the LT cycle. And the optimal candidate is toluene/R124. (C) 2020 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available