Naslov
Application of the Four Step Model in Energy Planning of Electric Vehicles – Case study for the City of Zagreb, Croatia

Autori
Katić, Katarina ; Perković, Luka ; Krajačić, Goran ; Duić, Neven ; Ban, Marko ; Novosel, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Digital Proceedings of 8th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES Conference / Ban, Marko .... [et al.] (ur.). - Zagreb : University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture , 2013. / - , 2013

Skup
8th Conference on Sustainable Development of Energy, Water and Environment Systems – SDEWES Conference

Mjesto i datum
Dubrovnik, Hrvatska, 22.09.2013. - 27.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
The Four Step Model; Energy planning; Electric Vehicles; Urban Transportation

Sažetak
To reduce the greenhouse emissions of the Croatian transport sector conventional fuels have to be replaced with energy produced from renewable sources. Technologies that are getting the most attention nowadays are various types of electric vehicles. The purpose of this paper is to examine the transportation system of the City of Zagreb, with a focus on personal vehicle trips and to obtain the power load curve for the transport sector. The paper is based on travel demand forecasting, also referred to as the four step model (FSM). The FSM is used for the forecasting of future demand and performance of a transportation system, and it was developed for the estimation of infrastructure projects. In this case study, the FSM is used to approximately calculate number of vehicles on the road in each hour and their traveled kilometers. Both values are used to calculate consumption and availability of vehicles for charging and supplying the energy to grid which indirectly leads to calculation of charging load curves. The results will show that from the total number of the vehicles, around 70% are in traffic during the peak hours. The consumption of energy during peak hours is from 6% to 8% of the overall daily consumption.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA