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Approaches for Energy Storage, Sensing and Electrocatalysis
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Approaches for Energy Storage, Sensing and Electrocatalysis

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: closed (20 September 2022) | Viewed by 12587

Special Issue Editor

Dr. Sarish Rehman

E-Mail Website
Guest Editor
Otto Maass Chemistry Building, 430 McGill University, 801 Sherbrooke St. W, Montreal, QC, Canada
Interests: nanomaterials; energy conversion and storage; sensing and electrocatalysis; batteries and supercapacitors; fuel cells; electrochemical process; solid-state electrolyte; Lithium-rich cathode; energy policy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Overconsumption of nonrenewable energy sources and the ever-increasing human population has created energy-related problems. To overcome the imminent depletion of non-renewable energy in the foreseeable future, researchers have focused on various sustainable energy conversion devices, including fuel cells, solar cells, wind, and tidal waves to increase the intermittency of renewable energy generation systems. Among various energy storage and conversion systems, batteries, supercapacitors, and fuel cells (electrocatalysis) play a vital role that can store energy on a large scale and can increase the use of variable renewable resources. These electrochemical technologies are currently hampered by low performance and higher operating costs. At present, the search for sustainable, secure, and active energy storage solutions is critical for large-scale implementation and the efficiency expected.

This Special Issue cover recent advances in renewable energy conversion and storage, sensing, and electrocatalyst technologies. We therefore invite papers on scientific advances, new findings, case studies, reviews, as well as analyses and numerical simulation that highlight the development of novel nanomaterials for energy storage and conversion devices including, but not limited to:

- Advanced rechargeable batteries and beyond Lithium-ion batteries: metal–ion, metal-air, and redox flow batteries;

- Supercapacitors and hybrid capacitors and supercapatteries;

- Electrocatalysis, oxygen reduction reaction, oxygen evolution reaction, hydrogen evolution reaction;

- Energy conversion devices: fuel cells, water electrolyzer, microbial fuel cells;

- Chemical energy storage: hydrogen generation and storage and CO2 reduction;

- Green energy: renewable energy, efficient energy, methods for efficiency measurements, improvement and optimization;

- Thermoelectric and thermo-electrochemical cells;

- Piezoelectric and self-charging/discharging devices.

Articles selected for this Special Issue are subject to a rigorous peer review procedure with the aim of the rapid and wide dissemination of research results, developments, and applications. We are writing to invite you to submit your original work/review articles/perspectives to this Special Issue. We look forward to receiving your outstanding research findings.

Dr. Sarish Rehman
Guest Editor

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. Energies 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 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

  • Electrochemical energy materials
  • Energetic materials
  • Fuel cells
  • Nanostructured electrolyte
  • Electrocatalyst
  • Heterogeneous catalysts
  • Lithium-ion battery
  • Green chemistry
  • Electrolytes
  • Renewable energy
  • Structure–property relationship
  • Novel synthesis techniques for electrode
  • Photocatalysis
  • Green energy
  • Energy saving and efficiency

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Published Papers (4 papers)

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Research

14 pages, 3713 KiB  
Article
Microstructure Evolution in a Solid Oxide Fuel Cell Stack Quantified with Interfacial Free Energy
by Tomasz A. Prokop, Grzegorz Brus and Janusz S. Szmyd
Energies 2021, 14(12), 3476; https://doi.org/10.3390/en14123476 - 11 Jun 2021
Cited by 3 | Viewed by 2167
Abstract
Degradation of electrode microstructure is one of the key factors affecting long term performance of Solid Oxide Fuel Cell systems. Evolution of a multiphase system can be described quantitatively by the change in its interfacial energy. In this paper, we discuss free energy [...] Read more.
Degradation of electrode microstructure is one of the key factors affecting long term performance of Solid Oxide Fuel Cell systems. Evolution of a multiphase system can be described quantitatively by the change in its interfacial energy. In this paper, we discuss free energy of a microstructure to showcase the anisotropy of its evolution during a long-term performance experiment involving an SOFC stack. Ginzburg Landau type functional is used to compute the free energy, using diffuse phase distributions based on Focused Ion Beam Scanning Electron Microscopy images of samples taken from nine different sites within the stack. It is shown that the rate of microstructure evolution differs depending on the position within the stack, similar to phase anisotropy. However, the computed spatial relation does not correlate with the observed distribution of temperature. Full article
(This article belongs to the Special Issue Approaches for Energy Storage, Sensing and Electrocatalysis)
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11 pages, 3929 KiB  
Article
Investigation of the Electrochemical Properties of Ni0.5Zn0.5Fe2O4 as Binder-Based and Binder-Free Electrodes of Supercapacitors
by Bushra Nawaz, Ghulam Ali, Muhammad Obaid Ullah, Sarish Rehman and Fazal Abbas
Energies 2021, 14(11), 3297; https://doi.org/10.3390/en14113297 - 4 Jun 2021
Cited by 17 | Viewed by 2543
Abstract
In this work, Ni0.5Zn0.5Fe2O4 is synthesized as binder-based (NZF) and binder-free electrodes (NZF@NF). The binder-free electrode is directly synthesized on nickel foam via facile hydrothermal techniques. The crystalline phase of both of these electrodes is examined [...] Read more.
In this work, Ni0.5Zn0.5Fe2O4 is synthesized as binder-based (NZF) and binder-free electrodes (NZF@NF). The binder-free electrode is directly synthesized on nickel foam via facile hydrothermal techniques. The crystalline phase of both of these electrodes is examined through X-ray diffraction. Their morphology is investigated by scanning electron microscopy (SEM) and high-resolution transmission electron microscopy (TEM), which revealed the well-defined nanostructure with the shape like thin hexagonal platelets. The chemical composition is verified by energy dispersive spectroscopy (EDS). Their electrochemical properties are analyzed by cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), and electrochemical impedance spectroscopy (EIS). The NZF@NF electrode has outperformed the binder-based NZF electrode in terms of electrochemical performance owing to the 3D interconnected structure of the nickel foam. The NZF@NF electrode has delivered a high specific capacity of 504 F g−1 at the current density of 1 A g−1, while its counterpart has delivered a specific capacity of 151 F g−1 at the same current density. Full article
(This article belongs to the Special Issue Approaches for Energy Storage, Sensing and Electrocatalysis)
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12 pages, 3031 KiB  
Article
An Investigation of the Electrochemical Properties of CuCo2O4@NiCo2O4 Composite as Binder-Free Electrodes of a Supercapacitor
by Bushra Nawaz, Muhammad Obaid Ullah and Ghulam Ali
Energies 2021, 14(11), 3237; https://doi.org/10.3390/en14113237 - 1 Jun 2021
Cited by 10 | Viewed by 3085
Abstract
Metallic oxides are considered promising candidates for supercapacitors owing to their inherent pseudocapacitive behavior and superior electrochemical properties. In this work, NiCo2O4, CuCo2O4, and CuCo2O4@NiCo2O4 composite electrodes are [...] Read more.
Metallic oxides are considered promising candidates for supercapacitors owing to their inherent pseudocapacitive behavior and superior electrochemical properties. In this work, NiCo2O4, CuCo2O4, and CuCo2O4@NiCo2O4 composite electrodes are synthesized directly on a nickel foam substrate via the facile hydrothermal method. The phase of the prepared materials was analyzed using the X-ray diffraction method. The morphology of the prepared binder-free electrodes was observed by scanning electron microscopy. The electrochemical testing was done in a 2 M KOH solution against an Ag/AgCl reference electrode. The CuCo2O4@NiCo2O4 composite electrode demonstrated a value of specific capacitance as high as 422 F g−1 at a current density of 1 A g−1 and thus outperformed the NiCo2O4 and CuCo2O4 in terms of its electrochemical performance. The CuCo2O4@NiCo2O4 composite retained a specific capacitance of 278 F g−1 even with the increase of current density to 10 A g−1, which corresponds to a 34% loss of capacitance compared to 40% and 48% of individual NiCo2O4 and CuCo2O4 electrodes, respectively. Hence, the synergy in a composite material demonstrates it to be a potential candidate as an electrode in supercapacitors. Full article
(This article belongs to the Special Issue Approaches for Energy Storage, Sensing and Electrocatalysis)
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17 pages, 4816 KiB  
Article
Swarm Intelligence-Based Methodology for Scanning Electron Microscope Image Segmentation of Solid Oxide Fuel Cell Anode
by Maciej Chalusiak, Weronika Nawrot, Szymon Buchaniec and Grzegorz Brus
Energies 2021, 14(11), 3055; https://doi.org/10.3390/en14113055 - 25 May 2021
Cited by 8 | Viewed by 3887
Abstract
Segmentation of images from scanning electron microscope, especially multiphase, poses a drawback in their microstructure quantification process. The labeling process must be automatized due to the time consumption and irreproducibility of the manual labeling procedure. Here we show a swarm intelligence-driven filtration methodology [...] Read more.
Segmentation of images from scanning electron microscope, especially multiphase, poses a drawback in their microstructure quantification process. The labeling process must be automatized due to the time consumption and irreproducibility of the manual labeling procedure. Here we show a swarm intelligence-driven filtration methodology performed on raw solid oxide fuel cell anode’s material images to improve the segmentation methods’ performance. The methodology focused on two significant parts of the segmentation process, which are filtering and labeling. During the first one, the images underwent filtering by applying a series of filters, whose operation parameters were determined using Particle Swarm Optimization upon a dedicated cost function. Next, Seeded Region Growing, k-Means Clustering, Multithresholding, and Simple Linear Iterative Clustering Superpixel algorithms were utilized to label the filtered images’ regions into consecutive phases in the microstructure. The improvement was presented for three different metrics: the Misclassification Ratio, Structural Similarity Index Measure, and Mean Squared Error. The obtained distribution of metrics’ performances was based on 200 images, with and without filtering. Results indicate an improvement up to 29%, depending on the metric and method used. The presented work contributes to the ongoing efforts to automatize segmentation processes fully for an increasing number of tomographic measurements, particularly in solid oxide fuel cell research. Full article
(This article belongs to the Special Issue Approaches for Energy Storage, Sensing and Electrocatalysis)
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