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Pregled bibliografske jedinice broj: 1209759

Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data


Herc, Luka; Perković, Luka; Pukšec, Tomislav
Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data // 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. (ur.).
Zagreb, 2022. 0031, 21 (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1209759 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data

Autori
Herc, Luka ; Perković, Luka ; Pukšec, Tomislav

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
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
decarbonization ; energy modelling ; statistical method

Sažetak
This research presents a novel method for the statistical evaluation of the synthetic driving cycles for small-to-medium vehicles, based on the real driving cycles recorded with GPS tracker with resolution of five seconds. The recorded data is processed so it can be used as an input for energy planning, namely the estimation of battery electric vehicles' energy demand and charging strategies in dump, smart and V2G regimes. Initial statistical analysis shows that hourly distribution among various vehicles is best represented with gamma distribution. However, due to the lower amount of data recorded from the GPS, synthetic driving cycles are matching the data measurement with correlation of 0.5 and 0.8 for work days and weekends, respectively. This drawback can be avoided with more data being recorded during the research on the topic and consequent re-tuning of the distribution parameters.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
IP-2019-04-9482 - Istraživanje puteva energetske tranzicije - međuovisnost "power-to-X" tehnologija, tehnologija odgovora potrošnje i povezivanja tržišta energijom (INTERENERGY) (Duić, Neven, HRZZ - 2019-04) ( CroRIS)

Profili:

Avatar Url Luka Perković (autor)

Avatar Url Tomislav Pukšec (autor)

Avatar Url Luka Herc (autor)


Citiraj ovu publikaciju:

Herc, Luka; Perković, Luka; Pukšec, Tomislav
Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data // 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. (ur.).
Zagreb, 2022. 0031, 21 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Herc, L., Perković, L. & Pukšec, T. (2022) Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data. U: Ban, M. (ur.)Digital Proceedings of the 5th SEE Conference on Sustainable Development of Energy, Water and Environment Systems / Ban, Marko et. al. - Zagreb : SDEWES, 2022.
@article{article, author = {Herc, Luka and Perkovi\'{c}, Luka and Puk\v{s}ec, Tomislav}, editor = {Ban, M.}, year = {2022}, pages = {21}, chapter = {0031}, keywords = {decarbonization, energy modelling, statistical method}, title = {Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data}, keyword = {decarbonization, energy modelling, statistical method}, publisherplace = {Vlora, Albanija}, chapternumber = {0031} }
@article{article, author = {Herc, Luka and Perkovi\'{c}, Luka and Puk\v{s}ec, Tomislav}, editor = {Ban, M.}, year = {2022}, pages = {21}, chapter = {0031}, keywords = {decarbonization, energy modelling, statistical method}, title = {Modelling decarbonisation of transport sector with method for assessing vehicle driving cycles based on real GPS data}, keyword = {decarbonization, energy modelling, statistical method}, publisherplace = {Vlora, Albanija}, chapternumber = {0031} }




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