Guest Editors
Prof. Mahdi Moghimi
Email: moghimi@iust.ac.ir
Affiliation: Mecheanical engineering, Iran University of science and technology, Narmak, Tehran, 999067, Iran
Homepage:
Research Interests: hydrodynamics, fluid mechanics, experimental modelling, energy modelling
Dr. Mohammad Javad Raji Asadabadi
Email: raji_m@mecheng.iust.ac.ir
Affiliation: Mecheanical engineering, Iran University of science and technology, Narmak, Tehran, 999067, Iran
Homepage:
Research Interests: CFD, applied thermodynamics, renewable energy, machine learning, hydrogen and fuel cell
Dr. Farzad Ghafoorian
Email: fghafoor@uccs.edu
Affiliation: Department of Mechanical and Aerospace Engineering, University of Colorado, Colorado Springs, CO 80918, USA
Homepage:
Research Interests: renewable energy, vertical axis wind turbines, fluid mechanics, CFD
Summary
The global imperative to transition towards sustainable energy systems is driven by the escalating challenges of climate change and ever-increasing energy demands. This special issue zeroes in on the synergistic integration of Artificial Intelligence (AI) with cutting-edge computational techniques—such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), thermodynamic analysis, and various numerical modeling approaches.
The core aim is to revolutionize the design and optimization of renewable energy systems. We're particularly interested in innovative methodologies that expertly combine AI-driven algorithms with physics-based simulations. This powerful combination is expected to significantly boost the performance, energy conversion efficiency, reliability, and thermal management across a spectrum of renewable energy systems, including wind, solar, geothermal, biomass, and energy storage. We invite high-quality contributions, including original research, comprehensive reviews, and insightful case studies. Submissions should highlight how the integration of AI and numerical modeling is shaping the development of the next generation of smart, adaptive, and sustainable energy technologies, with a strong emphasis on improving thermodynamic performance. Both numerical and experimental perspectives are highly encouraged.
Topics of interest for this Special Issue include, but are not limited to:
· AI-driven Design and Optimization of Renewable Energy Components
· Advanced Computational Fluid Dynamics (CFD) for Energy Systems
· Integrated AI and Physics-Based Simulations for System Performance Prediction
· Machine Learning for Renewable Energy Forecasting and Grid Integration
· Thermodynamic and Exergy Analysis Enhanced by AI
· Innovative Energy Storage Applications with AI
· Heat and Mass Transfer in Sustainable Energy Technologies
· Computational Approaches for Hybrid Renewable Energy Systems
· Experimental Validation of AI and Computational Models in Renewable Energy
Keywords
renewable energy systems, sustainable energy, computational fluid dynamics, artificial intelligence, machine learning, energy storage applications, heat and mass transfer, thermodynamics, exergy analysis, energy conversion.
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