A comprehensive approach for tri-objective optimization of a novel advanced energy system with gas turbine prime mover, ejector cooling system and multi-effect desalination

P. Ahmadi, I. Fakhari and Marc A. Rosen

Energy, 2022, vol. 254, issue PC

Abstract: This research presents an innovative approach for optimization based on a Genetic Algorithm optimization method. The system is configured by the integration of a gas turbine cycle, a dual-pressure heat recovery steam generator, a multi-effect desalination unit, a refrigeration organic Rankine cycle with an ejector, and a proton-exchange membrane electrolyzer. The proposed system is optimized utilizing five single- and multi-objective methods and investigating each objective's effect on the optimum range of the decision variables. As a result of these optimization five best points are extracted. The base condition, and these five best points are identified as six conditions, and the performance and reliability of the optimization results are investigated in a comparative parametric study. The single-objective optimizations results show that the maximum possible exergy efficiency and freshwater production rate are 72% and 1354 m3/day, respectively, and the lowest possible total cost rate is 611 $/h. However, tri-objective optimization demonstrates for these parameters that the best point has efficiency, cost, and freshwater production rate values of 69%, 791 $/h, and 1063 m3/day, respectively. The comparative parametric study shows that the tri-objective optimization result (Condition 5) is favorable in terms of objectives and reliability.

Keywords: Single-objective optimization; Multi-objective optimization; Multi-effect desalination; Organic Rankine cycle; Multi-generation system (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222012555
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:254:y:2022:i:pc:s0360544222012555

DOI: 10.1016/j.energy.2022.124352

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 ().