engleski

The Impact of Electrification in the Transport Sector on the Power Curve, and the Integration of Renewable Energy Sources in to the Power Systems of the Dubrovnik Region

In order to reduce greenhouse emissions, governments seek to replace conventional fuels with the production from renewable energy sources (RES). Technologies garnering the most attention are various types of electric vehicles (EV) in transportation systems and the use of renewable energy in power systems. Linking these two technologies into one power system offers a storage of electricity production from intermittent sources, such as wind or solar, into the battery of EV, which serve as electricity storage. The testing and analysis of these technologies are the subject matter of this work. The purpose of this thesis is to examine the impact of electrification in the transport sector on the power curve and the integration of RES in power systems of the Dubrovnik region. Paper is based on the organized planning of the energy system as a whole, aiming to optimize system components for the known hour distribution curve and electricity production, including RES production. Different models of EV charging regulate the relationship between system production and electricity demand. Calculations and tests are to be conducted for three scenarios—2020, 2030 and 2050. Year 2010 will be used as the reference year. The analysis of different EV charging models in EnergyPLAN has been done for each scenario. In 2020, it was assumed that the regulation will be achieved, along with unregulated charging, for first model partially with flexible spending, and for second model partially with smart EV charging. Simulation results in EnergyPLAN showed no difference among the models. Both models have the same effect on the increase in peak demand of 18 kWh/h and critical excess of electricity production (CEEP) in the amount of 288, 92 GWh/year. Scenario for 2030 included smart charge model compared to flexible demand model. Flexible demand yields poorer results, CEEP higher by 0.35 GWh/year and peak demand increases for the 20, 096 kWh/h more than smart charge. In the 2050 smart charge model with the vehicles-to-grid (V2G) included and model of a flexible demand were compared. Flexible demand yields better results in order to reduce CEEP. It produces 1.16 GWh/year of CEEP less than V2G model, but increases the peak demand for the 19, 001 kWh/h more than V2G model. Calculation results show that the power system with lower RES penetration has better regulation including smart charging when it comes to CEEP ; while in 2050, flexible demand yields better results than V2G because of higher RES penetration in the system. It has also been shown that energy systems including EV have a greater impact on CEEP reduction than the ones excluding EV.

Energy planning ; electric vehicles ; EnergyPLAN

Promjena prezimena autorice s Šare u Falkoni 2015.