Optimum performance of a single effect desalination unit integrated with a SOFC system by multi-objective thermo-economic optimization based on genetic algorithm

Javid Beyrami, Ata Chitsaz, Kiyan Parham and Øystein Arild

Energy, 2019, vol. 186, issue C

Abstract: A solid oxide fuel cell (SOFC) integrated with single effect desalination (SED) unit is modeled and optimized from exergoeconomic, enviroeconomic and exergoenvironmental points of view. A multi-criterion optimization technique based on genetic algorithm in the form of three various scenarios is accomplished. In scenario I (exergoeconomic optimization), the total exergy efficiency (ηe,t) and total cost rate (Z˙t) of the hybrid system are assumed as two objective function, while in scenario II (enviroeconomic optimization), the CO2 emission rate (EMI) and total cost rate (Z˙t) of the hybrid system are considered as the two objectives. Eventually, in scenario III (exergoenvironmental optimization), the total exergy efficiency (ηe,t) and the CO2 emission rate (EMI) are presumed as the optimization functions. In various scenarios, optimization technique is carried out with the aim of maximizing the ηe,t and minimizing the EMI andZ˙t. The multi-objective optimization results show that among different scenarios, the minimum total cost rate and CO2 emission rate occurs in the Scenario II, while the maximum total exergy efficiency occur in the Scenario I. In addition, it is revealed that, at the optimal conditions, the maximum net electrical power is achieved by Scenario I.

Keywords: Single effect desalination; Solid oxide fuel cell; Multi-objective optimization; Exergy; Emission; Economic (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219314835
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:186:y:2019:i:c:s0360544219314835

DOI: 10.1016/j.energy.2019.07.141

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 ().