Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Advances in Thermoelectric Materials and Technologies
share announcement

Advances in Thermoelectric Materials and Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 1773

Special Issue Editors

Dr. Akhtar Naureen

E-Mail Website
Guest Editor
Department of Engineering Sciences, University of Agder, 4630 Kristiansand, Norway
Interests: advanced functional materials; nanotechnology; renewable energy; coating and thin film technology
Dr. Huey Hoon Hng

E-Mail Website1 Website2
Guest Editor
School of Materials Science and Engineering, Nanyang Technological University, Block N4.1, Nanyang Avenue, Singapore 639798, Singapore
Interests: thermoelectric materials; energy storage materials; energetic materials; nanomaterials

Special Issue Information

Dear Colleagues,

Thermoelectric (TE) technology exploits the Seebeck and Peltier effects in converting heat into electricity and vice versa. TE technology has great potential to provide a promising solution to the current energy and environmental crisis. Heat is produced by almost all industrial and manufacturing processes, including those related to automotives, metal production, construction, fertilizers, agriculture, product processing and electric power generation. Thermoelectric generators (TEGs) are capable of converting the resulting heat into useful electrical power with the additional advantages of having no moving parts and being lightweight, compact and simple. TEGs exhibit resilient potential to generate power outputs from microwatts to KW and potentially to MW. Furthermore, the Internet of Things (IoT), which has been transforming all aspects of modern life, may also utilize the capabilities of TEG systems. The untapped potential of concentrated solar energy instigates further research prospects. However, when it comes to practical applications, the maximum potential of TE technology is limited by many scientific and engineering problems.

This Special Issue seeks original research and review articles in the latest TE and TEG research, including high-performance TE materials, efficient and reliable device design and integration, and practical applications of TE in various fields. Topics covered include but are not limited to:

  • Advance thermoelectric materials—synthesis and characterization
  • Novel thermoelectric devices—design, engineering, and integration
  • Strategies to enhance thermoelectric efficiency and performance
  • Machine learning in thermoelectric materials research
  • Machine learning approaches for green energy extraction for sustainable development
  • Recent thermoelectric system and applications
  • Thermoelectric applications in sustainable energy area
  • Concentrated solar thermal thermoelectric design

Dr. Akhtar Naureen
Dr. Huey Hoon Hng
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. Applied Sciences 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

  • thermoelectric materials
  • thermoelectric devices
  • sustainable energy harvesting
  • renewable energy area application

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 7042 KiB  
Article
A Novel MPPT Controller Based on Mud Ring Optimization Algorithm for Centralized Thermoelectric Generator under Dynamic Thermal Gradients
by Muhammad Hamza Zafar, Mohamad Abou Houran, Majad Mansoor, Noman Mujeeb Khan, Syed Kumayl Raza Moosavi, Muhammad Kamran Khan and Naureen Akhtar
Appl. Sci. 2023, 13(7), 4213; https://doi.org/10.3390/app13074213 - 26 Mar 2023
Cited by 6 | Viewed by 1318
Abstract
Most industrial processes generate raw heat. To enhance the efficiency of industrial operations, this raw heat is recovered. Thermoelectric generators (TEG), as solid state devices, provide an excellent application of heat recovery in the form of most manageable electrical power. This work presents [...] Read more.
Most industrial processes generate raw heat. To enhance the efficiency of industrial operations, this raw heat is recovered. Thermoelectric generators (TEG), as solid state devices, provide an excellent application of heat recovery in the form of most manageable electrical power. This work presents a novel MPPT controller based on the Mud Ring Optimization algorithm for a centralized Thermoelectric Generator (TEG) under dynamic thermal gradients. The existing stochastic optimization algorithm for Maximum Power Point Tracking (MPPT) control in renewable energy systems exhibits several limitations that affect its performance in MPPT control. The convergence speed, local minima trap, hyper parameters’ sensitivity toward the population size, acceleration coefficients, and the stopping criterion all impact the convergence stability. In addition to these limitations, sensor noise sensitivity in measurement fluctuates the control system leading to reduced performance. Therefore, the careful design and implementation of the MRO algorithm is crucial to overcome these limitations and achieve a satisfactory performance in MPPT control. The results of this study contribute to developing more efficient MPPT control of TEG systems and implementing renewable energy technologies. The algorithm effectively tracks the maximum power point in dynamic thermal environments and increases the power output compared to conventional MPPT methods. The findings illustrate the efficacy of the proposed controller providing a higher power output (Avg. 99.95%) and faster response time (220 ms) under dynamic thermal conditions achieving 38–70% faster tracking of the GM in dynamic operating conditions. Full article
(This article belongs to the Special Issue Advances in Thermoelectric Materials and Technologies)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop