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AKAR, ONUR

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AKAR

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Now showing 1 - 3 of 3
  • PublicationOpen Access
    Location of transformers during the extension of an electricity distribution network
    (2022-10-01) AKAR, ONUR; TERZİ, ÜMİT KEMALETTİN; Akar O., Terzi Ü. K., Ozgonenel O.
    The electricity network of a country is in continuous development, including the distribution transformers that provide power within a city. Efficient electricity networks depend on the good implementation of the principles of network planning and development. Moreover, technology development and the increasing standard of living are creating greater electricity demand. Besides, housing developments alter the need for electricity in an urban area and will require changes to control load density, adjustment of the voltage on distribution lines, installation of new lines and substations, and restructuring of existing ones. This study develops new mathematical and geometric methods that can be applied to all Low Voltage distribution networks to investigate load distribution, the effects of change and, provide a tool for distribution network planning. The analysis included the electrical power values to the new transformer, the shortest distribution routes between the transformers, and the costs, and provided optimum locations for new transformers. In this way, distribution network planning has been approached with a new method.
  • PublicationOpen Access
    Technical-environmental-economic evaluation of biomass-based hybrid power system with energy storage for rural electrification
    (2022-08-01) AKAR, ONUR; DEMİRCİ A., AKAR O., Ozturk Z.
    In recent years, higher penetrations of renewable energy generations helped persuade sustainable energy and environmental targets, although their intermittent and fluctuated nature raised technical challenges. However, hybrid power system can minimize these technical issues by integrating flexible generation capable renewable energy sources like biomass. This study deals with optimizing gridintegrated and stand-alone biomass-based hybrid power system for the energy demand of a rural region containing poultry farms. Besides solar and wind energy, energy storage integration is evaluated regarding overall technical-environmental-economic performance, considering the actual manure potential using HOMER Pro. In addition, sensitivity analyses are performed, considering the estimated load and inflations using an artificial neural network method. Using biomass and solar hybrid options offers more autonomous, environmentally friendly, and economic advantages. Biomass-based hybrid power system with solar energy reduced net present cost by around 12% and increased renewable fraction by 7%, and grid-connected options can provide 88.9% renewable fraction. In addition, the energy storage integration increased renewable fraction by around 10% and reduced excess energy by 16%. The proposed biomass-based hybrid power system achieves cost-effective sizing of solar or wind-based hybrid systems, empowers the reliability of renewable energy and presents good consistency of decarbonization targets.
  • PublicationOpen Access
    Short Circuit Effects on HV Feeders of Optimally Located Electric Vehicle Fast Charging Stations
    (2024-01-01) AKAR, ONUR; Kaya F., AKAR O.
    Today, there is a need to expand the network of fast charging stations to encourage the use of Electric Vehicles (EV). Fast charging stations are considered mobile loads, unlike conventional electric loads. This situation brings problems in electrical distribution systems. In addition, there will be problems caused by short circuits that occur for any reason in the networks to which EVs are connected. Considering the concerns about what these problems may be and how they may be reflected in the network, it is inevitable to examine the optimal positioning of the EV on the distribution network and its possible short-circuit effects. In this study, in the Istanbul/Vanikoy pilot region, HV/LV distribution feeders and substations in the region were selected using the distribution company infrastructure. An algorithm was created using multiple location data to determine the optimal locations of one-phase and three-phase Electric Vehicle Fast Charging Stations (EVFCS) on the distribution network. Simulation of short circuit types of the system was carried out using real-time technical data such as location data of distribution transformers, power data, load density, number and length of feeders, system protection, and control element data, based on optimal locations. The effects of short circuit types on the electricity distribution network, depending on the load density of residences, other structures, and optimally located urban EVFCS, connected to the distribution transformer feeders, were analyzed.