International Journal of Energy and Thermal Applications
Mechanical Engineering ISSN 3108-1479 2 issues a year Hybrid open access
About the journal
The International Journal of Energy and Thermal Applications is a peer-reviewed hybrid open-access journal launched in 2023 that publishes original, high-quality research and review papers that are capable of triggering a domino effect in the field of mechanical engineering and also supports the practical application of the established research that forms the core of the subject. The journal covers all major topics in thermal energy applications, ranging from thermal and non-thermal processes to ocean thermal energy.
Journal metrics
Counted from this archive, not supplied by anyone.
- 38Articles published
- 7Published in 2026
- 107Authors
- 0Open access
Journal information
- Title
- International Journal of Energy and Thermal Applications
- Issues per year
- 2 issues
- ISSN
- 3108-1479
- Publisher
- STM Journals
- DOI
- 10.37591/IJETA
- Starting year
- 2023
- Subject
- Mechanical Engineering
- Publication format
- Hybrid open access
- Language
- English
- Type
- Peer-reviewed journal (refereed)
Indexed in
Editorial board
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Editor-in-Chief
Dr. S.V.S.S.N.V.G. Krishna Murthy
Department of Applied Mathematics, Defence Institute of Advanced Technology, India
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Associate Editor-in-Chief
Mechanical Engineering, College of Engineering, University of Hail,, Saudi Arabia
Latest articles
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi₂Te₃ Nanorods Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi₂Te₃ nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi₂Te₃ with the emergence of Bi₂Te₃–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 34–44 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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Comparative Study on Thermal Performance of Mud Rammed and Concrete Residential Building Envelope in Paro - Bhutan
Abstract: A key factor in assessing the total energy efficiency of a building is the thermal performance of the building envelope. In Bhutan the building energy sector accounts for 15% of the total domestic electricity consumption out of which 50 to 60% accounts for space heating in the temperate region. Previous research findings and data also indicate that heat loss or gain through the building envelop were the most significant contributor …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 9–16 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
Archive on its own page →
Volume 4 (2026) 7 articles
- Issue 1 7 articles