Naslov
The influence of different statistical transport modelling strategies on the energy system

Autori
Herc, Luka ; Pfeifer, Antun ; Feijoo, Felipe

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Digital Proceedings of the 5th SEE Conference on Sustainable Development of Energy, Water and Environment Systems / Ban, Marko et. al. - Zagreb : SDEWES, 2022 / Ban, Marko et. al. - Zagreb, 2022

Skup
5th South East European Conference on Sustainable Development of Energy, Water and Environmental Systems (SEE SDEWES)

Mjesto i datum
Vlora, Albanija, 22.05.2022. - 26.05.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
decarbonization ; energy modelling ; statistical method, H2RES

Sažetak
The transport systems worldwide are among the top sources of greenhouse gas emissions as well as pollution itself. Therefore, these systems are being gradually decarbonized. Decarbonization of transport systems is achieved by introduction of electric vehicles or hydrogen powered vehicles which also includes synthetic fuels. Electrified transport sector generates additional demand for electricity which can also be utilized in the energy system balancing services. Therefore, with further integration of transport sector into power sector whether by the electrification or by use of hydrogen, additional emphasis is placed on determining and scheduling the transport demand. This research examines the influence of different vehicle driving cycles obtained through statistical analysis on the energy system. The system analysis and simulations are carried out in H2RES model. H2RES model is a linear optimization program. It considers capacity expansion, decommission in the sectors of power generation, heating, industry, and transport sector. Transport demand is divided between battery electric, hydrogen fuel cell and fossil fuel powered internal combustion vehicles. Each of the options has defined technical and economic characteristics as well as limitations. The main expected influence of different curves is reflected through applicability of energy system balancing services such as V2G and storage of hydrogen. Defining characteristics of applicability of given technology in energy system balancing is its period of availability on the network. Furthermore, availability of transport module for energy system balancing conditions the rest of the model into different investment strategies. Initial results display that the model is not very sensitive to the changes in used distributions of transport demand and availability of charging.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA