Sürdürülebilir Kalkınma Amaçları

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Yazarlar

• Baloglu, Ulas Baran(2)
• Demir, Yakup(2)
• Caetano, N.S.(1)
• Damasevicius, R.(1)
• Faculty of Engineering University of Porto (FEUP), LEPABE, Rua Dr. Roberto Frias, Porto(1)
• Felgueiras, M.C.(1)
• Forment, M.A.(1)
• Kaunas University of Technology, Software Engineering Department, Studentu 50 415, Kaunas(1)
• Napoli, C.(1)
• Polytechnic Institute of Porto (IPP), CIETI, School of Engineering (ISEP), Rua Dr. Antonio Bernardino de Almeida 431, Porto(1)
• Silesian University of Technology, Institute of Mathematics, Kaszubska 23, Gliwice(1)
• Tramontana, E.(1)
• University of Catania, Department of Mathematics and Informatics, Viale Andrea Doria 6, Catania(1)
• Wozniak, M.(1)

• BildiriAçık Erişim2017/r/munzur/3922
  Economic Analysis of Hybrid Renewable Energy Systems with V2G Integration Considering Battery Life

  Baloglu, Ulas Baran; Demir, Yakup; Caetano, N.S.; Faculty of Engineering University of Porto (FEUP), LEPABE, Rua Dr. Roberto Frias, Porto; Polytechnic Institute of Porto (IPP), CIETI, School of Engineering (ISEP), Rua Dr. Antonio Bernardino de Almeida 431, Porto; Felgueiras, M.C.; Forment, M.A.

  Hybrid renewable energy systems considered as candidate solutions for environmental problems. Solar energy and wind energy are important components of these systems, but both of them cause fluctuations in the grid. Batteries of Electric Vehicles (EVs) can be connected to the grid to create an ancillary resource. These systems known as Vehicle to Grid (V2G) and they could be the most suitable solution to the fluctuation problems of renewable resources. In this paper, economic analysis of V2G is investigated from various perspectives. The findings of this study indicate that battery aging costs of a V2G system can be minimized with an intelligent energy management system, and these systems are both economically and environmentally better alternatives to fossil-fuelled generators.

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  AtıfScopus15·WoS13·OpenAlex16

  İncele
• BildiriYalnız künye2017/r/munzur/3848
  A fuzzy queueing based model for controlling power demand of electric vehicle charging

  Baloglu, Ulas Baran; Demir, Yakup; Napoli, C.; University of Catania, Department of Mathematics and Informatics, Viale Andrea Doria 6, Catania; Wozniak, M.; Silesian University of Technology, Institute of Mathematics, Kaszubska 23, Gliwice; Damasevicius, R.; Kaunas University of Technology, Software Engineering Department, Studentu 50 415, Kaunas; Tramontana, E.

  The rapid penetration of electric vehicles may lead to peak problems in a traditional grid so that some of the smart grid research is focused on charging strategies for electric vehicles. The charging problem is suitable for using a queue structure, and fuzzy queueing can be implemented for this purpose. This paper presents a fuzzy queueing based model, which can also control the power demand of electric vehicle charging. A charging model should guarantee that all charging requirements can be satisfied before vehicles leaving the charging stations. Simulation results exhibit that the proposed model decreases average waiting time of vehicles and also the proposed model utilize charging stations better than a traditional queueing model.

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