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PASAOGLU, GUZAY (3) answer(s).
 
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1
ID:   127249


Large-scale deployment of electric vehicles in Germany by 2030: an analysis of grid-to-vehicle and vehicle-to-grid concepts / Loisel, Rodica; Pasaoglu, Guzay; Thiel, Christian   Journal Article
Loisel, Rodica Journal Article
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Publication 2014.
Summary/Abstract This study analyses battery electric vehicles (BEVs) in the future German power system and makes projections of the BEVs hourly load profile by car size ('mini', 'small', 'compact' and 'large'). By means of a power plant dispatching optimisation model, the study assesses the optimal BEV charging/discharging strategies in grid-to-vehicle (G2V) and vehicle-to-grid (V2G) schemes. The results show that the 2% rise in power demand required to power these BEVs does not hamper system stability provided an optimal G2V scheme is applied. Moreover, such BEV deployment can contribute to further integrating wind and solar power generation. Applying a V2G scheme would increase the capacity factors of base and mid-load power plants, leading to a higher integration of intermittent renewables and resulting in a decrease in system costs. However, the evaluation of the profitability of BEVs shows that applying a V2G scheme is not a viable economic option due to the high cost of investing in batteries. Some BEV owners would make modest profits (€6 a year), but a higher number would sustain losses, for reasons of scale. For BEVs to become part of the power system, further incentives are necessary to make the business model attractive to car owners
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2
ID:   111093


Potential vehicle fleet CO2 reductions and cost implications fo / Pasaoglu, Guzay; Honselaar, Michel; Thiel, Christian   Journal Article
Thiel, Christian Journal Article
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Publication 2012.
Summary/Abstract The continuous rise in demand for road transportation has a significant effect on Europe's oil dependency and emissions of greenhouse gases. Alternative fuels and vehicle technology can mitigate these effects. This study analyses power-train deployment scenarios for passenger cars and light commercial vehicles in EU-27 until 2050. It considers European policy developments on vehicle CO2 emissions, bio-energy mandates and reductions in the CO2 footprint of the European energy mix and translates these into comprehensive scenarios for the road transport sector. It quantifies and assesses the potential impact of these scenarios on well-to-wheel (WtW) CO2 emission reductions primary energy demand evolution, and cost aspects for the prospective vehicle owners. The study reveals that, under the deployed scenarios, the use of bio-fuel blends, technological learning and the deployment of hybrids, battery electric, plug-in hybrid and fuel cell vehicles can decrease WtW CO2 emissions in EU-27 passenger road transport by 35-57% (compared to 2010 levels) and primary energy demand by 29-51 Mtoe as they would benefit from a future assumed decarbonised electricity and hydrogen mix in Europe. Learning effects can lead to acceptable payback periods for vehicle owners of electric drive vehicles.
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3
ID:   101392


Using the decentralized and liberalized electricity market micr / Pasaoglu, Guzay   Journal Article
Pasaoglu, Guzay Journal Article
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Publication 2011.
Summary/Abstract Decentralized and liberalized electricity market involves a great deal of interdisciplinary concepts, including economic, commercial, environmental and technological issues. Consequently, the system is complicated. Accordingly, nowadays introductory courses focusing on the electricity market dynamics have been added to the curriculum at many universities. However, as the electricity market dynamics are complicated, it is not straightforward for students to understand. A teaching tool to assist students to better understand strategic behaviors in the market is thus in high demand. Due to these reasons, Liberalized Electricity Market Microworld (LEMM), incorporating a system dynamics based simulation model, is developed. The LEMM's contribution to the students learning and understanding of the decentralized and liberalized electricity market dynamics have been explored by organizing game sessions with the LEMM for totally 49 students who participated in "Energy Policy and Planning" course in Bogazici University. The findings obtained from the exploratory study reveal that the students improved their understanding of the liberalized and decentralized electricity market through the game session with the LEMM. In this paper, the general characteristics of the LEMM and the underlying model are presented, the microworlds', particularly the LEMM's potential contribution to learning and teaching is discussed.
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