Special Issues

Recent Developments in Renewable Energy

Submission Deadline: 20 November 2023 (closed) View: 42

Guest Editors

Noradin Ghadimi, Ankara Yıldırım Beyazıt University (AYBU), 06010 Ankara, Turkey. Email: nghadimi@ybu.edu.tr

Babek Erdebilli (B.D. Rouyendegh), Ankara Yıldırım Beyazıt University (AYBU), 06010 Ankara, Turkey. Email: babek.erdebilli2015@gmail.com


Renewable energy is energy that comes from renewable or recyclable sources and can be replaced by natural resources in the short term, such as sunlight, wind, rain, tidal, and the thermal heat of the earth. Renewable energy systems become more efficient and cheaper every day. Their contribution to overall energy consumption is increasing rapidly. It is expected that increasing the use of renewable and clean energies will end the consumption of fossil fuels by 2030. However, low reliability due to the nature of uncertain and volatile production of renewable resources is among the most important disadvantages of these resources. Based on the explained details, the main purpose of this Special issue is to bring about different solutions to the explained problems and to produce a safe resource based on different methods and strategies for producing renewable and sustainable energies.

Selected papers submitted to the 6th International Conference on Engineering Sciences will be published in this special issue.


Soft computing in the renewable energies; Economics of renewable energy; Applications of different technologies in sustainability; Economics of renewable resource; Microgrids

Published Papers

  • Open Access


    Optimization of Chiller Loading Problem Using Improved Golden Jackal Optimization Algorithm Leads to Reduction in Energy Consumption

    Na Dong, Xiao Yang, Nasser Yousefi
    Energy Engineering, Vol.120, No.11, pp. 2565-2583, 2023, DOI:10.32604/ee.2023.029862
    (This article belongs to the Special Issue: Recent Developments in Renewable Energy)
    Abstract This paper proposes a modified golden jackal optimization (IGJO) algorithm to solve the OCL (which stands for optimal cooling load) problem to minimize energy consumption. In this algorithm, many tools have been developed, such as numerical visualization, local field method, competitive selection method, and iterative strategy. The IGJO algorithm is used to improve the research capabilities of the algorithm in terms of global tuning and rotation speed. In order to fully utilize the effectiveness of the proposed algorithm, three famous examples of OCL problems in basic ventilation systems were studied and compared with some previously… More >

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