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Exergy-Based Methods: Fundamentals and Applications

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A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Thermodynamics".

Deadline for manuscript submissions: closed (19 December 2021) | Viewed by 2354

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Special Issue Information

Dear Colleagues,

The term “exergy-based methods” was first used in the title of two 2008 ASME papers (Tsatsaronis, G. and Morosuk, T. (2008): A general exergy-based method for combining a cost analysis with an environmental impact analysis. Part I – Theoretical Development; Part II – Application to a cogeneration system, Proceedings of the ASME International Mechanical Engineering Congress and Exposition, IMECE 2008, November 2-6, 2008, Boston, Massachusetts, USA, IMECE2008-67218 and IMECE2008-67219). Since that time, this term has become a well-known keyword for publications dealing with conventional and/or advanced exergetic, exergoeconomic and/or exergoenvironmental analyses. Through these analyses, the real thermodynamic inefficiencies, their costs and environmental impacts are identified together with their causing sources. The unique results obtained from these analyses allow engineers to better understand and improve (“optimize”) the design and operation of energy conversion systems. Finally, with the aid of exergy-based methods we can conduct consistent multi-criterial evaluations of such systems.

Research and review papers dealing with the development and/or application of exergy-based methods and/or optimization are sought for this Special Issue.

Prof. Dr. George Tsatsaronis
Prof. Dr. Tatiana Morosuk
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

exergy analysis
exergoeconomic analysis
exergoenvironmental analysis
exergy-related ecological analyses
exergy-based analyses
advanced exergy-based analyses
energy-conversion systems
exergy-intensive chemical systems
optimization

Published Papers (1 paper)

Research

17 pages, 2306 KiB

Open AccessArticle

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

by Zineb Fergani, Tatiana Morosuk and Djamel Touil

Entropy 2021, 23(8), 954; https://doi.org/10.3390/e23080954 - 26 Jul 2021

Cited by 13 | Viewed by 1669

Abstract

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. Full article

(This article belongs to the Special Issue Exergy-Based Methods: Fundamentals and Applications)

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