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Research Articles

Optimizing Security Systems with an Optimum Design of a Hybrid Renewable Energy System

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Pages 2125-2146 | Received 07 Aug 2023, Accepted 20 Aug 2023, Published online: 31 Aug 2023
 

Abstract

Security systems play a crucial role in protecting individuals and assets within diverse infrastructures, including seaports. The uninterrupted operation of these systems heavily relies on a continuous power supply, as any disruptions can lead to severe consequences. Therefore, security systems are classified as critical loads requiring uninterrupted power availability. This study focuses on the investigation of an optimal hybrid energy system (HES) to ensure a reliable power supply for security systems in two seaports located in Turkiye. Through the utilization of the HOMER software, optimization analyses were conducted, considering both conventional sources such as grid-generator or grid-generator-battery configurations, as well as off-grid and on-grid HES solutions integrating photovoltaic (PV) and wind turbine technologies. The findings reveal that on-grid HES solutions incorporating PV and wind technologies offer a more cost-effective and dependable energy supply for security systems in seaports, surpassing traditional alternatives. This study represents a significant contribution to the existing literature, as it presents the first comprehensive optimization study on the design of HES for security systems. The outcomes serve as a valuable reference for future research endeavors in this field.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Mahmut Hudayi Kiyak

Mahmut Hudayi Kiyak was born in Samsun, Turkiye. He received the B.S. degree in electrical engineering from Yildiz Technical University, Istanbul, Turkiye, in 2019. He has been pursuing his M.S degree in electrical engineering at Istanbul Technical University (ITU) since 2020. Since 2019, he has been working as a System Design Engineer at ASELSAN Inc., in Ankara, Turkiye. His research interests include security systems, renewable energy systems, system optimization, power systems, electric vehicles, and wireless power transfer systems.

Mikail Purlu

Mikail Purlu was born in Sivas, Turkiye. He received the B.S. degree in electrical and electronics engineering form Sivas Cumhuriyet University, Sivas, Turkiye, in 2013, the M.S. degree in electrical engineering from Istanbul Technical University (ITU), Istanbul, Turkiye, in 2017, and the Ph.D. degree in electrical engineering from ITU, Istanbul, Turkey, in 2022. Between 2014 and 2022, he worked as a Research Assistant at ITU. Since 2023, he has been working as an Assist. Prof. at Sivas Cumhuriyet University. He is a member of CIGRE Turkiye and a Technical Writer Editor of the Turkish Journal of Electrical Power and Energy Systems (TEPES). His research interests include distributed generation, optimization of power systems, renewable energy, and smart grids.

Belgin Emre Turkay

Belgin Emre Turkay was born in Istanbul, Turkiye. She received the B.S., M.S., and Ph.D. degrees in electrical engineering from Istanbul Technical University (ITU), Istanbul. She is currently a Professor and the Head of the Department of Electrical Engineering, ITU. She is a member of CIGRE Turkiye and an Editor of the Turkish Journal of Electrical Power and Energy Systems (TEPES). Her research interests include power quality, renewable energy, smart grids, and power system resilience.

Tahir Cetin Akinci

Tahir Cetin Akinci (Senior Member IEEE) pursued his Bachelor's degree in Electrical Engineering in 2000, followed by his Master's and Ph.D. degrees in 2005 and 2010, respectively. From 2003 to 2010, he worked as a Research Assistant at Marmara University in Istanbul, Turkey. Dr. Akinci is currently a full professor in the Electrical Engineering Department at Istanbul Technical University (ITU) in 2020. Dr. Akinci assumed the role of a visiting scholar at the University of California Riverside (UCR). His research interests including power systems, artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, and data analysis.

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