Sustainability

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Special Issue Editors

Dr. Andrei Ceclan

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Guest Editor

Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Interests: energy transition towards carbon neutrality, from myth to reality; urban energy management; energy audits towards decarbonation

Dr. Levente Czumbil

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Guest Editor

Department of Electrical Engineering, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania
Interests: artificial intelligence applied in energy management

Dr. Constantin Bǎrbulescu

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Guest Editor

Department of Power Engineering, Politechnica University of Timisoara, 300223 Timisoara, Romania
Interests: power flow analysis

Special Issue Information

Dear Colleagues,

In the present geopolitical context, we are facing significant challenges related to both energy and emissions transitions, together with energy security provision. On the one hand, sustainability is greatly related to low-emission renewable energy sources’ rapid scale adoption, while a series of issues remain to be addressed, such as the impact on energy poverty and vulnerable consumers, realistic alternatives to develop large-scale renewable energy sources and energy storage, with the aim of substituting the fossil-based fuels. Thus, we welcome the submission of scientific evidence-based papers on the above issues, without limitation.

Dr. Andrei Ceclan
Dr. Levente Czumbil
Dr. Constantin Bǎrbulescu
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

energy transition
emissions transition
environmental and economic sustainability
think human first
economical sustainability
renewable energy capability
sustainability assessment and policies
energy poverty

Published Papers (1 paper)

Research

17 pages, 3934 KiB

Open AccessArticle

Identifying the PEM Fuel Cell Parameters Using Artificial Rabbits Optimization Algorithm

by Andrew J. Riad, Hany M. Hasanien, Rania A. Turky and Ahmed H. Yakout

Sustainability 2023, 15(5), 4625; https://doi.org/10.3390/su15054625 - 5 Mar 2023

Cited by 20 | Viewed by 1750

Abstract

The artificial rabbits optimization (ARO) algorithm is proposed in this article to find the optimum values for uncertain parameters for the proton exchange membrane fuel cell (PEMFC) model. The voltage–current polarization curve of the PEMFC is nonlinear, and the model used in this paper to describe it is Mann’s model, which has seven uncertain parameters. The sum of square errors (SSE) between the ARO-based estimated voltages of the model and the measured voltages of the fuel cell defines the objective function. The simulation results show that the ARO technique has the best SSE compared to other optimization techniques. The precision of the ARO model is evaluated by comparing the optimized model’s power–current and voltage–current curves with the measured curves of three stacks which are NedStack PS6, BCS stack 500 W, and Ballard Mark V. The results show that the estimated curves and measured curves are very close which, means a high accuracy is achieved. Moreover, the ARO method shows a fast convergence curve with a minimal standard deviation. Furthermore, the PEMFC-optimized model is studied at different temperature and pressure operating conditions. Full article

(This article belongs to the Special Issue Smart Grid: Power System Innovation and Energy Efficiency)

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