Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling (CROSBI ID 219861)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Novosel, Tomislav ; Perković, Luka ; Ban, Marko ; Keko, Hrvoje ; Pukšec, Tomislav ; Krajačić, Goran ; Duić, Neven Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling // Energy (Oxford), 92 (2015), Part 33; 466-475. doi: 10.1016/j.energy.2015.05.091

Podaci o odgovornosti

Novosel, Tomislav ; Perković, Luka ; Ban, Marko ; Keko, Hrvoje ; Pukšec, Tomislav ; Krajačić, Goran ; Duić, Neven

engleski

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

The transportation sector is one of the major energy consumers in most energy systems and a large portion of the energy demand is linked to road transport and personal vehicles. It accounted for 32.8% of the final energy consumption of Croatia in 2011 making it the second most energy demanding sector. Because of their higher efficiency, a modal switch from conventional ICE (internal combustion engines) to EVs(electric vehicles ) has the potential to greatly reduce the overall energy demand of the transport sector. Our previous work has shown that a transition to EVs in a combination with a modal split from air and road to rail transport can reduce the energy consumption in Croatia by 99 PJ, which is approximately 59%, by the year 2050 when compared to the business as usual scenario. The goal of this paper is to model the hourly distribution of the energy consumption of EVs and use the calculated load curves to test their impact on the Croatian energy system. The hourly demand for the transport sector has been calculated using the agent-based modelling tool MATSim on a simplified geographic layout. The impact EVs have on the energy system has been modelled using EnergyPLAN.

Electric vehicles; Demand side modelling; Agent-based modelling; Electrification of transport; EnergyPLAN; MATSim

S.I.: Sustainable Development of Energy, Water and Environment Systems.

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

92 (Part 33)

2015.

466-475

objavljeno

0360-5442

10.1016/j.energy.2015.05.091

Povezanost rada

Strojarstvo

Poveznice
Indeksiranost