Edip Taşkesen | Energy | Best Paper Award

Best Paper Award

EDIP TAŞKESEN
Affiliation Sirnak University
Country Turkey
Scopus ID
24529336500
Documents 15
Citations 249
h-index 9
Subject Area Energy
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-3052-9883

EDIP TAŞKESEN

Edip Taşkesen of Sirnak University, Turkey is recognized with the Best Paper Award for research excellence in the field of Energy.His recognized research, titled “Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre,” focuses on the performance evaluation and efficiency analysis of a solar power plant, with particular emphasis on the Şırnak–Cizre case. His academic profile includes 15 documents, 249 citations, and an h-index of 9. [2]

Abstract

This article recognizes Edip Taşkesen with the Best Paper Award for research excellence in the field of Energy.The recognized research, titled “Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre,” focuses on evaluating the performance and efficiency of a solar power plant in the Şırnak–Cizre context. [5]

Keywords

Best Paper Award, Edip Taşkesen, Energy, Solar Energy, Solar Power Plant, Solar Power Generation, Performance Evaluation, Efficiency Analysis, Renewable Energy, Şırnak–Cizre. [5]

Introduction

The awarded research, “Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre,” addresses an important topic within renewable and sustainable energy research. [5].Solar power plants play an increasingly significant role in electricity generation, making the assessment of their operational performance and efficiency an important research area.

Research Profile

Edip Taşkesen is affiliated with Sirnak University, Turkey and is associated with the subject area of Energy.According to the provided academic information, his Scopus profile is identified by Scopus ID 24529336500 and records 15 documents, 249 citations, and an h-index of 9. [2]

Research Contributions

The recognized publication, “Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre,” contributes to the field of Energy by examining the performance and efficiency of a solar power plant.The case-based focus provides a specific regional context for assessing solar power generation and understanding the evaluation of solar energy facilities. [5]

Research Impact

The provided academic profile records 15 documents, 249 citations, and an h-index of 9 for Edip Taşkesen.These indicators represent scholarly publication and citation activity associated with his academic profile.His work in the energy field, particularly research related to solar power plant performance and efficiency, contributes to academic discussions surrounding renewable energy. [5]

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, relevance, originality, and meaningful contribution to its respective discipline.Edip Taşkesen’s recognized research examines solar power plant performance and efficiency in the Şırnak–Cizre case. [5]

Conclusion

Edip Taşkesen has contributed to the field of Energy through scholarly research including work focused on solar power plant performance and efficiency analysis.His recognized publication, “Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre,” addresses an important aspect of renewable energy research by examining the performance and efficiency of solar electricity generation. [5]

External Links

References

  1. Best Paper Awards.
    Best Paper Awards Website
  2. Edip Taşkesen – Scopus Author Profile.
    View Scopus Profile
  3. Edip Taşkesen – ORCID Profile.
    View ORCID Profile
  4. Taşkesen, E. (2026). Experimental thermal and hydrolic behavior of CuO/water and Cr/water nanofluids in a production passenger-car radiator. Environmental Progress & Sustainable Energy, 45(4), e70296.
    https://aiche.onlinelibrary.wiley.com/doi/abs/10.1002/ep.70296
  5. Sakın, M., Taşkesen, E., & Arlı, F. (2026). Performance evaluation and efficiency analysis of a solar power plant: The case of Şırnak–Cizre. Environmental Progress & Sustainable Energy, e70517.
    https://aiche.onlinelibrary.wiley.com/doi/10.1002/ep.70517?af=R

 

Ehsanolah Assareh | Energy | Editorial Board Member

Assist. Prof. Dr. Ehsanolah Assareh | Energy | Editorial Board Member 

Assistant Professor | Yeungnam University | South Korea

Ehsanolah Assareh is an accomplished assistant professor affiliated with YU University in South Korea and IAUD University in Iran, with a strong interdisciplinary background in hydrogen energy, artificial intelligence, renewable energy technologies, engineering thermodynamics, and cogeneration systems. He is widely recognized for his influential contributions to energy modeling, optimization, and sustainable energy system design, reflected in more than 2000 citations, an h-index of 22, and an i10-index of 39. His early highly cited works on artificial neural networks for solar radiation prediction and on particle swarm optimization and genetic algorithms for energy demand forecasting in Iran laid a strong foundation for the application of intelligent optimization techniques in energy systems engineering. Over the years, his research has expanded to include advanced forecasting of oil demand, carbon dioxide emissions, and wind speed, as well as the optimization of wind turbines, heat exchangers, and composite structures using evolutionary algorithms. In recent years, his focus has shifted strongly toward integrated renewable and multigeneration systems, particularly the coupling of solar, geothermal, and thermoelectric generators for electricity, cooling, and desalination, along with detailed energy, exergy, and exergoeconomic analyses. He has also made notable contributions to green hydrogen production, power-to-hydrogen and hydrogen-to-power conversion, and techno-economic feasibility studies of hybrid wind–solar systems for rural electrification. His publications in leading journals such as Energy, Solar Energy, Fuel, Renewable and Sustainable Energy Reviews, Geothermics, and the International Journal of Hydrogen Energy demonstrate both technical depth and practical relevance. Through consistent high-impact research, international collaborations, and editorial service, Assareh has played a significant role in advancing intelligent energy systems, sustainable power generation, and hydrogen-based energy solutions at both national and global levels.

Featured Publications

  1. Behrang, M. A., Assareh, E., Ghanbarzadeh, A., & Noghrehabadi, A. R. (2010). The potential of different artificial neural network techniques in daily global solar radiation modeling based on meteorological data. Solar Energy, 84(8), 1468–1480.

  2. Assareh, E., Behrang, M. A., Assari, M. R., & Ghanbarzadeh, A. (2010). Application of particle swarm optimization and genetic algorithm techniques on demand estimation of oil in Iran. Energy, 35(12), 5223–5229.

  3. Behrang, M. A., Assareh, E., Noghrehabadi, A. R., & Ghanbarzadeh, A. (2011). New sunshine-based models for predicting global solar radiation using particle swarm optimization technique. Energy, 36(5), 3036–3049.

  4. Alirahmi, S. M., & Assareh, E. (2020). Energy, exergy, and exergoeconomic analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation. International Journal of Hydrogen Energy, 45(56), 31555–31573.

  5. Assareh, E., & Biglari, M. (2015). A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and gravitational search algorithm. Renewable and Sustainable Energy Reviews, 51, 1023–1037.

Ehsanolah Assareh’s research bridges artificial intelligence with renewable and hydrogen energy systems to deliver high-impact solutions for sustainable power generation and energy optimization. His innovations in smart forecasting, multigeneration systems, and green hydrogen technologies support global decarbonization, energy security, and the transition to clean, resilient energy infrastructures.