Special Issues

Selected Papers from the 2025 World Energy Conference

Submission Deadline: 01 July 2026 (closed) View: 1831 Submit to Special Issue

Guest Editor(s)

Prof. Mustafa Serdar GEENÇ

Email: musgenc@erciyes.edu.tr

Affiliation: Energy Systems Engineering, Faculty of Engineering, Erciyes University, Kayseri, 38039, Türkiye

Homepage:

Research Interests: renewable energy, wind power, hybrid energy systems, energy optimization, fluid mechanics, aerodynamics, composite blade design, structural analysis

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Dr. Atabek MOVLYANOV

Email: info@iksadkongre.org

Affiliation: IKSAD Institute, Ankara, 06560, Türkiye

Homepage: www.iksadinstitute.org/directorsoffice

Research Interests: energy optimization, energy economics, energy efficiency, sustainability

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Prof. Dongran Song

Email: songdongran@csu.edu.cn

Affiliation: School of Automation, Central South University, Changsha, China

Homepage:

Research Interests: wind power generation, photovoltaic power generation and their integration with other energy technologies, artificial intelligence methods and their applications in new energy systems

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Summary

The global energy landscape is undergoing unprecedented transformation as nations strive to balance growing energy demands with environmental sustainability and climate change mitigation. This transition requires innovative approaches spanning renewable energy technologies, energy efficiency improvements, carbon reduction strategies, and the integration of emerging technologies with existing infrastructure. The urgency of addressing climate change while ensuring energy security and access makes this research area critically important for achieving sustainable development goals and building resilient energy systems for future generations.


This Special Issue, published in conjunction with the 2025 World Energy Conference, aims to present cutting-edge research and practical solutions addressing contemporary energy challenges. The scope encompasses multidisciplinary perspectives on energy transition, from technological innovations to policy frameworks, highlighting pathways toward decarbonization, enhanced energy efficiency, and sustainable resource management.


Topics of interest include, but are not limited to:
· Renewable energy technologies and integration (solar, wind, hydro, geothermal)
· Energy storage and smart grid systems
· Carbon capture, utilization and storage (CCUS)
· Energy efficiency and green building approaches
· Alternative fuels and sustainable transportation
· Nuclear energy and fusion technologies
· Climate finance and energy policy
· Circular economy and waste-to-energy solutions
· Energy access and justice
· Life cycle assessment and environmental impact studies


Keywords

energy systems, renewable energy, energy storage, energy efficiency, climate change, sustainability

Published Papers


  • Open Access

    ARTICLE

    Energy Consumption, Renewable Energy and Economic Growth: The Case of BRICS Countries

    Perihan Hazel Kaya, Coşkun Kuş, Mustafa Çoklu, Mustafa Göktuğ Kaya
    Energy Engineering, DOI:10.32604/ee.2026.084804
    (This article belongs to the Special Issue: Selected Papers from the 2025 World Energy Conference)
    Abstract This study examines the relationship between energy consumption, renewable energy supply, and economic growth in BRICS countries over the period 2000–2023 within the framework of panel data analysis. In the analysis, economic growth is represented by gross domestic product, while total energy consumption and renewable energy supply are used as the main energy-related variables. The study contributes to the literature by evaluating the energy-growth nexus together with both total energy use and renewable energy dynamics in BRICS economies. Since BRICS countries may be affected by common global shocks, cross-sectional dependence is considered in the empirical… More >

  • Open Access

    ARTICLE

    Comparative Study on High-Precision Artificial Neural Network Fitting Methods for NMPC under MPPT Operating Conditions of Wind Turbines

    Xinyang Zhao, Fei Xie, Jiefeng Duan, Dongran Song, M. Talaat, Mustafa Serdar Genc
    Energy Engineering, DOI:10.32604/ee.2026.077001
    (This article belongs to the Special Issue: Selected Papers from the 2025 World Energy Conference)
    Abstract Up to now, there remain difficulties in modeling large-scale engineering equipment with complex nonlinear characteristics, especially for the large-scale wind turbines. Based on the powerful learning capability of neural networks, this study adopts an approximation method with fast response characteristics to fit the output results of nonlinear model predictive control (NMPC). First, based on the dynamic characteristics of maximum wind energy extraction (MWEE) of wind turbines, a constrained NMPC rolling optimization prediction model is established, and a dataset of torque control laws with prediction horizons of 5, 6, and 7 steps respectively is generated. Second,… More >

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