EconPapers    
Economics at your fingertips  
 

An improved free-superstructure method for optimal synthesis of semi-closed CO2 power cycles

Hongyu Xu, Yu Han, Shuo Chen, Cheng Xu and Yongping Yang

Energy, 2025, vol. 316, issue C

Abstract: The semi-closed CO2 power cycle is a promising technology for efficient and clean fossil fuel utilization, providing high net efficiency and zero carbon emissions. To identify the optimal configuration for the semi-closed cycle, this study proposes an innovative free-superstructure method that combines evolutionary algorithms for the synergistic optimization of structures and parameters to achieve maximum efficiency. The improved optimization method surpasses conventional approaches based on predefined superstructures by expanding the search space. The results indicate that the net efficiency of the semi-closed CO2 power cycle system (OPT-2 case), optimized using the proposed method, increased from 40.18 % to 45.53 %. Furthermore, the net efficiency is 1.39 percentage points higher compared to the conventional optimization (OPT-1 case), due to the well-matched heat recovery process and reduced turbine exergy destruction. The study would provide an innovative and efficient method for the optimal synthesis of the semi-closed CO2 power cycle.

Keywords: Free-superstructure; Optimal synthesis; Semi-closed CO2 power cycle (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225000143
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:316:y:2025:i:c:s0360544225000143

DOI: 10.1016/j.energy.2025.134372

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:316:y:2025:i:c:s0360544225000143